Skip to main content

SYSTEMATIC REVIEW article

Front. Public Health, 01 December 2022
Sec. Aging and Public Health

Comparative efficacy of exercise modalities for cardiopulmonary function in hemodialysis patients: A systematic review and network meta-analysis

\nWanli ZangWanli Zang1Mingqing FangMingqing Fang2He HeHe He3Liang Mu,Liang Mu3,4Xiaoqin ZhengXiaoqin Zheng1Heng ShuHeng Shu1Nan GeNan Ge5Su Wang
Su Wang6*
  • 1Postgraduate School, University of Harbin Sport, Harbin, China
  • 2Xiangya Hospital, Central South University, Changsha, China
  • 3Winter Olympic Academy, University of Harbin Sport, Harbin, China
  • 4Postdoctoral Research Station, University of Harbin Sport, Harbin, China
  • 5School of Physical Education, South China Normal University, Guangzhou, China
  • 6Department of Sports Science, University of Harbin Sport, Harbin, China

Background: To provide reliable evidence to exercise rehabilitation therapists and clinicians, we compared and analyzed the effects of different exercise modalities on cardiopulmonary function in hemodialysis patients using Bayesian network meta-analysis.

Methods: PubMed, OVID, Web of Science, Cochrane Library, Embase, Scopus, CINAHL, SPORT Discus, SinoMed, CNKI, Wanfang, and VIP were searched from inception to July 20, 2022. We included randomized controlled trials comparing 12 exercise modalities to improve cardiorespiratory fitness in hemodialysis patients. All statistical analysis was performed using STATA and R.

Result: A total of 82 randomized controlled trials involving 4146 maintenance hemodialysis patients were included in this study. The pair-wise meta-analysis showed that all exercise modalities had a positive effect on all indicators of cardiorespiratory capacity. The network meta-analysis demonstrated that Blood flow restriction training (BFRT), Cycle exercise (CE), Inspiratory muscle training (IMT), Combined aerobic and resistance training (CT), and Aerobic training (AT) were significantly better than usual care for 6-min walkability; Medium intensity continuous training (MICT), CT, CE, and AT were considerably better than usual care for VO2Peak; body and mind training (MBT) and CT significantly improved SBP compared to usual care; and only MBT was significantly better than usual care for DBP. Both the two-dimensional plot and the radar plot demonstrated that CT had the best combined-effect on each index of cardiorespiratory fitness. Subgroup and sensitivity analyses demonstrated the robustness of the results. The evidence was mainly “low” to “very low” for this network meta-analysis.

Conclusion: There is no one exercise that can achieve the best effect on all of the outcomes. The benefits of MBT in decreasing arterial blood pressure are unsurpassed by other exercise methods. The intervention effect of the CT is better and more stable. Electrical muscle stimulation training (MEST) can be employed in individuals who do not wish to exercise actively but may cause an increase in blood pressure. On the basis of the characteristics of different exercise types, guidelines developers, clinicians, and patients may employ them appropriately.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/#recordDetails.

Introduction

Chronic kidney disease (CKD) is a highly prevalent disease with high morbidity and mortality rates worldwide (1). According to the second iteration of the Global Kidney Health Atlas survey, the global median prevalence of renal replacement therapy is 759 per million population (PMP). It has become a significant public health issue with widespread concern. Maintenance hemodialysis (MHD) is the primary renal replacement therapy for individuals with end-stage renal disease. Although hemodialysis is a widespread and well-established treatment to prolong patient survival, the reduction of aerobic capacity, imbalance of the body (2), muscle mass (3), and exercise endurance lead to a lack of physical activity in patients, resulting in decreased quality of life and mobility (4, 5). Evidence suggests that peak oxygen uptake (VO2Peak) during cardiopulmonary exercise testing decreases significantly in patients with kidney disease as the disease progresses and that the causes of impaired cardiopulmonary function are diverse and include anemia (6, 7), neuropathy (8), and cardiac and vascular dysfunction (9). Therefore, the objective of hemodialysis has shifted from maintaining the basic survival and prolonging the lives of patients to improving the quality of life and promoting patients' return to society (1012).

Exercise plays an increasingly important role as a promising non-pharmacological treatment to improve cardiopulmonary function in hemodialysis patients, and existing studies shows that physical activity improve cardiovascular and physical function as well as quality of life in people with MHD, with additional benefits including improved mood, enhanced appetite, and nutritional intake, leading to a virtuous cycle (13). The American Kidney Disease Foundation recommends that exercise training should be a cornerstone in the management of complications and treatment modalities for patients receiving HD. The guidelines (14) recommend assigning an appropriate exercise prescription to patients with MHD to assist them in increasing their mobility. However, there is no reliable evidence to provide an accurate and effective exercise program for patients with MHD.

When prescribing exercise for hemodialysis patients, it is essential for clinical professionals to consider the type of exercise. Numerous studies have shown that various forms of exercise have distinct movement structures (12 exercise modalities are described in detail in Supplementary Appendix B). Resistance training, which requires overcoming resistance at a constant rate, is effective in enhancing muscle strength and explosive power (15) as well as improving muscle mass (16), protein synthesis (17), and neuromuscular adaptations (15), in both young and old individuals; aerobic exercise, which requires continuous and repeated activity at a certain intensity for an extended duration, increases the ability of skeletal muscle to create energy through oxidative metabolism and improves cardiovascular function by inducing central and peripheral adaptations (18, 19); combined training requires the incorporation of aerobic and resistance exercise into the training program, which is an effective way to counteract the aging-induced decline in cardiorespiratory endurance and muscular strength (20); physical and mental activity is gradually gaining scholarly attention along with some other novel forms of exercise, each of which has its own characteristics depending on their different training forms. Nevertheless, the most effective exercise therapy in improving cardiorespiratory function in this population remains unclear, as no studies have simultaneously compared different types of exercise interventions. As a result, healthcare professionals have experienced difficulties in developing the most effective exercise interventions for treating patients. To overcome the limitations of traditional meta-analysis, this systematic review was conducted using a Bayesian network meta-analysis of randomized controlled trials to evaluate the effectiveness of different exercise modalities on cardiorespiratory fitness in patients with MHD.

Methods

The systematic review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Network Meta-Analyses (PRISMA-NMA).

Registration

This study was registered with PROSPERO, number: CRD42022308176.

Search strategy

An electronic search of databases including PubMed, OVID, Web of Science, Cochrane Library, Embase, Scopus, CINAHL, SPORT Discus, SinoMed, CNKI, Wanfang Data, and VIP was performed from inception to June 12, 2022. We adopt personalized retrieval based on the characteristics of each database. Details of search terms and search strategies are supplied in Supplementary Appendix A. ClinicalTrials.gov and the Chinese Clinical Trial Registry were also searched for potential unpublished trials. Furthermore, the reference lists of all included research and associated meta-analyses were combed for additional relevant studies. We repeated the searches before formal analysis to supplement our study. When it was not available from the literature, we contacted the authors to obtain the required data.

Study selection

We first eliminated duplicates using EndNote 20.2.1 software (Thomson Research Soft, USA). Then, two researchers independently screened titles and abstracts to identify all potentially relevant studies. Studies that met the inclusion criteria were independently identified and assessed by the same two authors. Any disagreement was decided by a third reviewer. Detailed inclusion criteria are listed below: (1) The experimental design must be a randomized controlled trial (RCT); (2) All participants must be maintenance hemodialysis patients (≥18 years old); (3) The intervention includes any one of 12 exercises (see Supplementary Appendix B for details and abbreviations of the exercise classification); (4) At least one of the following outcomes must be reported in studies: 6-min walkability, peak oxygen uptake, systolic blood pressure (SBP), and diastolic blood pressure; and (5) literatures published in any language. The reasons for excluding studies are as follows: (1) the subjects of the study were minors; (2) The patients were not on maintenance hemodialysis; (3) Exercise is compared with other interventions with the exception of usual care (e.g., physical therapy); and (4) The data were not presented in the required format, and the authors did not respond to our request.

Data extraction

Two researchers performed data extraction using a document information extraction form created by Microsoft Excel (Microsoft Corporation, Redmond, Washington, version 16.0). The extracted information included first author, year of publication, trial sample size, baseline information of hemodialysis patients, method of random sequence generation, intervention of trial and control groups, exercise prescription, measured outcomes, adverse effects, and mean and standard deviation (SD) of outcomes. Literature screening and data extraction were conducted independently by two reviewers, with a third reviewer engaging in the discussion and decision-making when there was disagreement.

Risk of bias assessment

Two researchers used the Risk of Bias Assessment Tool for Randomized Trials (RoB2.0) (21) recommended by the Cochrane Collaboration. The five domains were as follows: “Randomization process,” “Deviations from intended interventions,” “Mising outcome data,” “Measurement of the outcome,” and “Selection of reported result.” The risk of bias can be divided into three levels: “low risk of bias,” “some concern,” and “high risk of bias.” Disagreements were resolved by consensus or by a third reviewer.

Statistical synthesis and analysis

The pair-wise meta-analysis was conducted through R (4.1.3), using the meta package (22), and the random effects model was selected to account for heterogeneity among studies. We did not conduct a meta-analysis of interventions that had only one or two studies (23). We determined heterogeneity by examining forest plots, and the I2 statistic. For I2 >25%, we choose the random effects model; for I2 <25%, we choose the fixed effects model.

Non-informative priori Bayesian Network meta-analysis (NMA) was performed in R using the “BUGSnet” (24) and “gemtc” (25) packages with specific parameters: 100,000 simulation iterations and 10,000 adaptation iterations. Markov chain Monte Carlo simulations were used for each outcome, with a thinning interval of 10, indicating that one sample was collected every 10 iterations. Convergence was assessed graphically using trajectory and density plots, and the Brooks-Gelman-Rubin statistics were calculated to quantify the convergence. For the network meta-analysis, we fitted a Bayesian random effects model in R using the “BUGSnet” package and assumed a common heterogeneity across treatment comparisons. Data is presented as mean differences and 95% confidence intervals to allow rehabilitation therapists to assess the effectiveness of exercise. Usual care was chosen as a control group to compare with other exercise methods in the forest plot. I2 test was applied to evaluate heterogeneity. The node splitting method (26) and posterior distribution plot (27) were used to check the local and global consistency, respectively. The surface under the cumulative ranking area (SUCRA) (27) was calculated using the probability ranking table provided by the “BUGSnet” package to rank the efficacy of the interventions. The SUCRA ranges from 0 to 1, with higher values indicating more effective improvements in cardiorespiratory fitness. Specifically, among the four outcomes, higher values indicate increased 6-min walk capacity, increased peak oxygen uptake, and decreased systolic and diastolic blood pressures. We used meta-regression to analyze the association between improvements in cardiorespiratory fitness and covariates (age and gender); Subgroup analyses were conducted to explore whether there were differences in efficacy of exercise in dialysis or non-dialysis settings; and sensitivity analysis (excluding infrequently used exercise methods based on four outcomes to test the stability of the results) was combined with two-dimensional plots and radar plots to identify the more desirable exercise modality. Heat plots were generated to summarize the effects of all exercise modalities on cardiopulmonary function. Finally, comparison-adjusted funnel plots were generated using STATA 15.0 (28) software (Stata Corporation, College Station, TX, USA) to test for publication bias in this study.

CINeMA evaluation

We assessed the certainty of the evidence contributing to the network estimation of the outcomes using the confidence in network meta-analysis (CINeMA) framework. The CINeMA (29) evaluation consists of six evaluable items: within-study bias, reporting bias, indirectness, imprecision, heterogeneity, and incoherence. There are four levels of evidence: high, medium, low, and very low, and the grade of RCT is high before evaluation. The level of evidence is decreased by one level or two levels for each nonconformity of the above six components.

Results

The initial search identified 6,071 studies, of which 5,629 were obtained by searching 12 databases through the established search strategy, 438 were discovered by scanning published systematic reviews, and four ongoing studies were obtained from the Clinical Trial Registry. Of these, 976 were excluded because of duplication. Based on the inclusion and exclusion criteria, 82 publications were finally obtained and included in the meta-analysis (the flow chart of study selection is shown in Figure 1). One unpublished study from the Clinical Trial Registry was obtained by contacting the author. The trials were conducted in both developed and developing countries and involved 4,147 patients with kidney disease requiring hemodialysis (literature characteristics are shown in Supplementary Appendix C). The majority of included studies were of poor methodological quality, with 37% reporting adequate randomization and only 7.4% at low overall risk of bias. The risk of bias assessment for each study is shown in Supplementary Appendix D(a), and the summary risk of bias assessment is shown in Supplementary Appendix D(b).

FIGURE 1
www.frontiersin.org

Figure 1. PRISMA flow diagram chart for systematic review and network meta-analysis.

Pair-wise meta-analysis

Six-minute walking capacity

In a meta-analysis of 52 studies, the researchers discovered that exercise significantly improved 6-min walking ability compared with usual care (MD = 37.93 m, p < 0.001, 95% CI 29.27–46.6, I2 = 53.6%). CT, CE, and AT achieved an extremely significant effect (p < 0.001); RT showed a significant effect (0.001 < p < 0.05); IMT and MEST did not achieve a significant effect [Supplementary Appendix EB(a)].

VO2Peak

A meta-analysis of 21 studies showed that exercise increased VO2Peak significantly compared with usual care (MD = 3.61 ml/kg/min, p < 0.001, 95% CI 2.76–4.46, I2 = 42.8%). CT, CE, and AT all achieved an extremely significant effect [p < 0.001; Supplementary Appendix EB(b)].

SBP

A meta-analysis of 26 studies revealed that exercise had a highly significant reduction in SBP compared with usual care (MD = −6.1 mmHg, p < 0.001, 95% CI −8.47 to −3.74, I2 = 49.4%). MBT had a highly significant effect (p < 0.001); CT and AT has a significant effect (0.001 < p < 0.05); CE did not achieve a significant effect [Supplementary Appendix EB(c)].

DBP

A meta-analysis of 33 studies indicated that exercise significantly reduced DBP compared with usual care (MD = −2.68 mmHg, p = 0.0128, 95% CI −4.52 to −0.83, I2 = 69.4%). MBT achieved a highly significant effect (p < 0.001); CT achieved a significant effect; CE and AT were better than usual care, but the difference was not statistically significant [Supplementary Appendix EB(d)].

Network meta-analysis

The posterior mean deviance contributions of the four outcomes indicated the contributions to the deviance were very similar and close to 1, for both the consistency and inconsistency models. The node splitting method showed no statistically significant differences between direct and indirect comparisons for VO2Peak, SBP, and DBP, except for three nodes in 6-min walking ability. The leverage plots showed that the DIC of the consistency model was the smallest. Therefore, the consistency model was chosen (Supplementary Appendix F). Trace and density plots as well as Brooks-Gelman-Rubin (PSRF = 1) indicated good convergence of the model.

The trial network plots for each outcome were drawn to show the interventions in the network meta-analysis (Figure 2). The width of the lines is proportional to the number of trials for each pair of interventions, and the size of each node is proportional to the number of participants assigned to that intervention. We also summarized the SUCRA for each intervention through heat maps (Figure 3). Comparisons of the efficacy of any two interventions are shown in Figure 4.

FIGURE 2
www.frontiersin.org

Figure 2. Comparing the effects of different exercise modalities 6WMT (A), VO2Peak (B), SBP (C), and DBP (D) in hemodialysis patients. AT, aerobic training; Usual, usual care; CT, combined training; RT, resistance training; CE, cycle dynamometers; MEST, electrical muscle stimulation; IMT, inspiratory muscle training; BFRT, blood flow restriction exercise; HICT, high-intensity circuit training; MICT, medium intensity continuous training; VRT, virtual reality training; MBT, body and mind training.

FIGURE 3
www.frontiersin.org

Figure 3. Heat map ranked according to the degree of relevant change in 6WMT, VO2Peak, SBP, and DBP parameters. The numbers reflect the P-score, ranked continuously from 0 to 1. A higher SUCRA indicates a more significant increase in 6WMT, VO2Peak. In the case of blood pressure parameters, a higher SUCRA suggests a more pronounced effect on lowering blood pressure. *The exercise mode corresponding to the outcome was not included in the literature. *Treatment without data on the outcome within the circle.

FIGURE 4
www.frontiersin.org

Figure 4. Results of network meta-analysis of four outcomes. Comparisons should be read from left to right. (A) Outcomes of 6 WMT and VO2Peak. (B) Outcomes of SBP and DBP. Outcomes are located at the intersection between the column-defining treatment and the row-defining treatment. Data are in MD (95% CIs). For 6MWT and VO2Peak, MDs above 0 favor the column-defining treatment. For SBP and DBP, MDs below 0 favor the column-defining treatment. The certainty of the evidence [according to confidence in network meta-analysis (CINeMA)] was incorporated in this figure as footnotes. *Moderate quality of evidence. Low quality of evidence. Very low quality of evidence. The significant results in league tables have been bolded. AT, aerobic training; Usual, usual care; CT, combined training; RT, resistance training; CE, cycle dynamometers; MEST, electrical muscle stimulation; IMT, inspiratory muscle training; BFRT, blood flow restriction exercise; HICT, high-intensity circuit training; MICT, medium intensity continuous training; VRT, virtual reality training; MBT, body and mind training.

Six-minute walkability

A total of 52 RCTs were included (3081), of which five three-arm trials and 47 two-arm trials, involving 12 interventions (CT, CE, HICT, BFRT, IMT, AT, MBT, WBVT, MEST, VRT, MICT, and RT). The network meta-analysis showed that AT, BFRT, CE, CT, and IMT were significantly superior to usual care. However, there was no significant difference between them (p > 0.05). HICT, MBT, WBVT, MEST, VRT, MICT, and RT showed no significant difference compared with usual care. The SUCRA of 6-min walking ability in descending order were BFRT, VRT, CE, IMT, CT, AT, MBT, MEST, MICT, HICT, RT, and WBVT.

VO2Peak

A total of 21 RCTs were included (34, 43, 55, 72, 78, 8297), of which one four-arm trial, two three-arm trials, and 18 two-arm trials, involving six interventions (AT, CE, CT, HICT, MEST, and MICT). The network meta-analysis showed that AT, MICT, CE, and CT were significantly better than the usual care, but there was no significant difference between each other (p > 0.05). HICT and MEST were not significantly different from usual care. The SUCRA of VO2Peak in descending order were MICT, CT, CE, AT, HICT, and MEST.

SBP

A total of 26 RCTs (31, 38, 46, 60, 63, 73, 77, 82, 83, 87, 88, 90, 93, 98110) were included, of which one four-arm experiment, three three-arm experiments, and 24 two-arm experiments, involving six interventions (AT, CE, CT, MBT, MEST, and RT). The network meta-analysis revealed that MBT and CT2 intervention measures were significantly better than usual care, but there was no significant difference between each other (p > 0.05). There was no significant difference in AT, CE, RT, and MEST compared with usual care. The SUCRA of SBP in descending order were MBT, CT, CE, RT, AT, and MEST.

DBP

A total of 26 RCTs (31, 38, 46, 60, 63, 73, 77, 82, 83, 87, 88, 90, 93, 98110) were included, of which one four-arm experiment, 3 three-arm experiments, and 24 two-arm experiments involving six interventions (AT, CE, CT, MBT, MEST, and RT). Network meta-analysis showed that MBT was significantly better than usual care, and there was no significant difference in AT, CE, CT, MEST, and RT compared with usual care. The SUCRA of DBP in descending order were MBT, CT, CE, RT, AT, and MEST.

Comparison of pair-wise meta-analysis and network meta-analysis

The comparison of pair-wise meta-analysis and network meta-analysis revealed that the results were generally consistent (Supplementary Appendix F). Only a small difference was found in the 6-min walkability results of IMT: pair-wise comparison of IMT vs. control [I2 = 71.7%; 51.94 (−3.61; 107.49), p = 0.067] vs. network comparison of IMT vs. control [41.22 (10.39–73.31), p < 0.05].

In the two-dimensional plots based on SUCRA values, CT, CE, and AT are distributed around a 45-degree diagonal line, proving that these interventions have a balanced effect on the promotion of cardiopulmonary function. And CT had the best intervention effect (furthest from zero), followed by CE and AT (shown in Supplementary Appendix G). Subgroup analyses explored the effects of several settings on the effectiveness of exercise. The CE and AT performed in a non-dialysis setting were superior to CT in improving 6-min walking ability.AT is more effective than CE for DBP in the dialysis environment. In the remaining outcomes, the ranking of the effects of the three most commonly used interventions remained consistent with CT being the most effective, followed by CE and AT (Supplementary Appendix H). Sensitivity analyses of the most commonly used exercise methods showed no substantial change in outcomes (Supplementary Appendix I).

The results of meta-regression revealed that, with the exception of the VO2Peak, other outcomes were not substantially influenced by covariates (Supplementary Appendix J). We showed the CINeMA assessment in the league table (Figure 4). The comparisons of Usual care with CE, CT, and BFRT achieved moderate quality of evidence for the outcome of 6WMT; the comparison of Usual care with CE, CT, and MEST achieved moderate quality of evidence for the outcome of VO2Peak; and the comparison between Usual care and MBT and between MBT and MEST achieved moderate quality of evidence for the outcome of SBP. The quality of evidence was “low” to “very low” for comparisons between other interventions for the four outcomes (details were shown in Supplementary Appendix K).

Publication bias

The horizontal coordinate of comparison-adjusted funnel plots indicates effect sizes, and the vertical coordinate represents the inverse of the standard error. All comparisons were symmetrically distributed on the whole and concentrated at the top of the funnel, indicating a lower risk of publication bias. The small number of studies was scattered at the bottom, possibly related to the small sample size (Supplementary Appendix K).

Discussion

Our network meta-analysis assessed the relative efficacy of different exercise interventions on 6WMT, VO2Peak, SBP, and DBP in hemodialysis patients. The purpose of this study is to explore the relative effectiveness of different exercise modalities on cardiorespiratory fitness and thus enrich the understanding of exercise rehabilitation therapy in the field of complementary alternative medicine. The meta-analysis was based on studies from 82 studies with a total of 4,146 individuals. Fifty-three RCTs tested the efficacy of 12 exercise interventions on improving 6-min walk capacity in patients with MHD; 21 RCTs evaluated the effect of six exercise modalities on VO2Peak; 26 RCTs assessed the impact of six exercise modalities on arterial blood pressure. Three interventions, AT, CE, and CT, are more prevalent in clinical practice, and Some more novel exercise modalities, such as MEST, IMT, and WBVT, have emerged in clinical trials of interventions for patients with MHD. To our knowledge, this is the first network meta-analysis to compare the efficacy of over a dozen exercise methods in hemodialysis patients. The results demonstrated that BFRT and MICT were the most effective methods in improving 6-min walking capacity and VO2Peak, respectively. MBT was the best in improving diastolic and systolic blood pressure. CT, CE, and AT improved all outcomes to varying degrees. The results of MEST were the worst for VO2Peak, SBP and DBP, and only this type of exercise can raise blood pressure in hemodialysis patients, which is harmful to their physical health.

Currently, the awareness that sports rehabilitation training has a positive impact on functional level and physical health has been widely recognized in the rehabilitation medicine. For instance, exercise increases the level of prostacyclin in patients and strengthens plasma fibrinolysis and antithrombosis, thereby relaxing blood vessels, reducing blood viscosity, improving vascular compliance, decreasing peripheral resistance, and lowering diastolic blood pressure; Sports can reduce the excitability of sympathetic nerves, decrease the release of catecholamine in plasma or lower catecholamine sensitivity, and relax vascular smooth muscle accordingly, consequently reducing systolic blood pressure (111114); Exercise can increase the release of endorphins and 5-HTP, meanwhile, reduce plasma epinephrine and aldosterone levels, thus attenuating vasoconstriction and water and sodium retention of the renin-angiotensin-aldosterone system to lower blood pressure. Sports increase adaptation to the cardiopulmonary and neuromuscular systems, enhance oxygen delivery to the mitochondria and regulate muscle metabolism more stringently (115117). There are various forms of exercise rehabilitation, and the effects of different types of rehabilitation exercise are also different.

Of the published studies evaluating health status of MHD patients, 6WMT is the most commonly used outcome, whereas VO2Peak has been reported less frequently probably due to the challenge of measuring this outcome in most elderly patients. Although 6WMT which was proven to be relatively and absolutely accurate in maintenance hemodialysis patients is clinically employed as an indicator of exercise tolerance and provides comparable prognostic information to VO2Peak, we still tend to use the VO2Peak indicator. The reason for using this is that VO2Peak, which is obtained in the cardiopulmonary exercise test (CPET), represents a person's functional aerobic capacity. VO2Peak has become the gold standard for cardiopulmonary health and is inversely associated with cardiovascular risk and all-cause mortality (118). Additionally, we evaluated blood pressure, an indirect indicator of cardiopulmonary function. The two apparent changes in hemodialysis patients were arteriosclerosis and atherosclerosis, characterized by loss of arterial buffering and catheter function, and intimal thickness, resulting in increased blood pressure and decreased cardiopulmonary function (119).

The results of the direct meta-analysis demonstrated that exercise has an active effect on the health improvement of dialysis patients but not all exercise significantly improved physical function. This study yielded several new meta-analyses, such as the effect of MBT on blood pressure in hemodialysis patients, and the results showed statistically significant difference. Scapini et al. (120) reported that AT had no significant influence on SBP or DBP in hemodialysis patients. Through the inclusion of more studies, this study shows that AT has a significant effect on systolic blood pressure but not on diastolic blood pressure in hemodialysis patients. As a commonly used intervention, RT is rarely applied to improve cardiopulmonary function due to inconsistent intervention effects. Three common interventions (CE, AT, and CT) showed stable efficacy, with significant benefits for all measures except DBP, and CT significantly lowered DBP.

The results of pair-wise meta-analysis and network meta-analysis were generally consistent. In the 6-min walkability indicator, comparisons of IMT vs. control between pair-wise and network meta-analysis showed small differences. This may be due to the inclusion of less studies, large heterogeneity between studies, and the wide confidence intervals. The network meta-analysis combined direct and indirect comparisons with a larger sample size of evidence, hence narrowing the confidence interval for the effect size. In conjunction with the information in the CINeMA evaluation, we believe that the network results of the IMT vs. usual care converge more closely to the actual effect. The results of this network meta-analysis differ from the previous ones conducted by Scapini et al. There are multiple reasons. Firstly, this network meta-analysis aimed to systematically evaluate the efficacy of different exercise methods on cardiopulmonary function. Instead, Scapini et al. focused on the effects of exercise on health-related indicators, which was fragmentary. Secondly, our study involved 82 experiments (One clinical experiment registry provided experimental data), and only 31 experiments were included by Scapini et al. (120). Thirdly, we classified the exercises as accurately as possible (twelve in all), rather than simply lumping very different exercises into one category, and previous studies included only three types of exercise. Previous studies used both VO2Max and VO2Peak for oxygen uptake; however, we only considered VO2Peak because there is evidence that there are discrepancies in the assessment of these two indicators, which will undoubtedly affect the accuracy of the results. Consistent with the previous review, the effect of exercise depends on the type and design of exercise, and the effect of CT is superior to AT and RT among several Indicators of evaluation. This is the first study to examine whether exercise on dialysis or on non-dialysis affects treatment outcomes, with performing a subgroup analysis. Among the eight evaluations of the four indicators, the probability of CT being better than AT and CE is very high, and the probability of CE being better than AT is also very high. To further explore the comprehensive influence of exercise on cardiopulmonary function in patients with hemodialysis, we also conducted a comprehensive evaluation using two-dimensional plots, with one group consisting of VO2Peak and 6WMT and the other group consisting of DBP and SBP. CT, CE, and AT are distributed along the slope of 45 degrees, far from the zero, indicating that they have positive effects in different outcomes, and CT is better than CE and AT. Finally, we used the radar plots to observe the combined effect of three most commonly used exercise modes on the four indicators. The area enclosed by the curve of CT was the largest, which indicated the best effect, followed by CE, and at was the least. In order to check robustness of the results, we performed a sensitivity analysis, which increased the effect of CT on 6WMT, indicating that CT has a stable benefit in treating cardiopulmonary function in MHD patients. It is noteworthy that MEST, although capable of improving 6WMT and VO2Peak, has a side effect of increasing blood pressure, which is consistent with the conclusion of Stefan et al. (121). Therefore, clinical use of MEST should be targeted based on its characteristics. MBT shows a better performance than CT for the blood pressure reduction, but the comparison of related studies on other indicators is scarce, thus its efficacy cannot be comprehensively evaluated. The majority of the evidence in this study was low to extremely low, and the efficacy of the less studied exercise methods was only only for the reference of clinicians or rehabilitation therapists.

To help the exercise prescription of hemodialysis patients, we scanned the studies that included CT and CE exercise prescriptions. When using CE, researchers more often require patients to exercise by Borg's RPE scale at 12–16, namely, moderate to vigorous intensity. Interestingly, although CE is included in AT, it is possible to increase resistance to increase strength, so enhancing both aerobic capacity and muscle strength. Although the evidence indicates that the intervention effect of CE is slightly lower than CT, we guess this may be related to the proportion of oxygen and resistance. As we all know, the energy supply of all exercise is provided by three energy supply systems (ATP-CP system, glycolysis system, and aerobic system) in different proportions, depending on the nature and characteristics of exercise. Obviously, CE needs to maintain a certain period of movement, and the resistance strength is not large enough. In CT-related exercise prescriptions, aerobic and resistance exercises are typically completed in the same training session, referred internationally to as “Concurrent Training” or “Concurrent Strength and Endurance Training.” Wilson et al. (122) contend that concurrent training is a training method for gaining strength, muscle hypertrophy, explosive resistance training, and endurance-enhancing training in the same training stage. Davis et al. (123) think that concurrent training can maintain the strength level of the body and improve endurance and other essential physical qualities without reducing the strength level. Concurrent training benefits than traditional CT training. Given the excellent performance of concurrent training, combined with the exercise prescriptions of the included studies, we recommend that hemodialysis patients use concurrent training as a training tool during rehabilitation. The majority of hemodialysis patients are elderly, inactive, and are less able to adapt to physical loads. Therefore, a low-intensity adaptation phase needs to be arranged in the first weeks of training, with improving aerobic capacity as the primary objective. Multiple sessions (3, 4) of aerobic endurance training can be arranged each week to enhance the body's ability to adapt and recover, so as to build the foundation of physical health. As the training cycle progresses, the proportion of aerobic training decreases. Concurrent training is increased to maintain aerobic capacity while increasing strength development, thus improving overall physical fitness and promoting healthy growth. While considering the specific design of concurrent training, the rehabilitation therapist should also prescribe exercise based on the patient's personal preferences, which will significantly improve compliance with long-term exercise.

Strengths/limitations

Several methodological strengths exist in this systematic review, focusing on the review of currently popular exercises for hemodialysis patients (CT, CE, and AT), with a preliminary exploration of some novel interventions. And more than a dozen databases were searched with a view to a comprehensive and systematic literature search. This is the first systematic review of the effects of exercise on hemodialysis patients in a dialysis setting or non-dialysis setting. For the first time in this field, meta-regression analysis and CINeMA evidence have been used, which greatly enhanced the credibility of the results. Although the network meta-analysis compensated for the lack of pair-wise meta-analysis, there were some limitations to the inclusion of studies due to the clinical characteristics of exercise interventions for hemodialysis patients. This study did not consider the exercise environment, and there may be differences in the effect of exercise between exercise at home and community centers. The general physical condition of the patients, various comorbidities, and medications were not considered, which may affect the effect of exercise. In selecting indicators to measure cardiopulmonary function, the applicable indicators were not selected, which may cause some bias in evaluating the efficacy of exercise. The quality of majority of the literature has certain risks, such as blinded and allocation concealment, and the level of evidence is generally “low” to “very low.” Although 82 randomized controlled trials were Included, Involving 4,146 patients and dozens of exercise modalities, with the exception of three commonly used exercise modalities, there were few studies on other exercises, and the ranking of overall efficacy may be biased. Most studies a small sample size due to conditions of clinical trials, which may lead to bias; it is unclear whether the effects of these interventions change over time because the studies were conducted over a short period of time.

Conclusion

There is no single exercise modality that is optimal for all indicators. MBT is significantly more effective than other forms of exercise for lowering blood pressure; CT is a superior and more stable intervention MEST can be applied to patients who are reluctant to exercise actively but may cause an increase in blood pressure. The evaluation of the effectiveness of interventions contributes evidence-based practice, and guideline makers, physicians, and patients can refer to the characteristics of different exercise modalities for precise application. Due to some limitations of existing clinical studies and evidence, future studies should focus on larger sample sizes, longer follow-ups, and developing training programs (intensity, frequency, duration).

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

WZ, LM, XZ, HS, and SW: research idea and study design. WZ, XZ, HS, NG, LM, and HH: data acquisition. WZ, MF, LM, and SW: data analysis/interpretation. WZ, MF, LM, HH, and SW: statistical analysis. LM, XZ, SW, HH, and MF: supervision or mentorship. All authors contributed important intellectual content during manuscript drafting or revision and accept accountability for the overall work by ensuring that questions pertaining to the accuracy or integrity of any portion of the work are appropriately investigated and resolved.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2022.1040704/full#supplementary-material

References

1. Murray R, Zimmerman T, Agarwal A, Palevsky PM, Quaggin S, Rosas SE, et al. Kidney-related research in the United States: a position statement from the National Kidney Foundation and the American Society of Nephrology. Am J Kidney Dis. (2021) 78:161–7. doi: 10.1053/j.ajkd.2021.04.006

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Dong ZJ, Zhang HL, Yin LX. Effects of intradialytic resistance exercise on systemic inflammation in maintenance hemodialysis patients with sarcopenia: a randomized controlled trial. Int Urol Nephrol. (2019) 51:1415–24. doi: 10.1007/s11255-019-02200-7

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Hoshino J. Renal rehabilitation: exercise intervention and nutritional support in dialysis patients. Nutrients. (2021) 13:837–53. doi: 10.3390/nu13051444

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Roshanravan B, Gamboa J, Wilund K. Exercise and CKD: skeletal muscle dysfunction and practical application of exercise to prevent and treat physical impairments in CKD. Am J Kidney Dis. (2017) 69:837–52. doi: 10.1053/j.ajkd.2017.01.051

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Hannan M, Bronas UG. Barriers to exercise for patients with renal disease: an integrative review. J Nephrol. (2017) 30:729–41. doi: 10.1007/s40620-017-0420-z

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Beetham KS, Krishnasamy R, Stanton T, Sacre JW, Douglas B, Isbel NM, et al. Effect of a 3-year lifestyle intervention in patients with chronic kidney disease: a randomized clinical trial. J Am Soc Nephrol. (2022) 33:431–41. doi: 10.1681/ASN.2021050668

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Pella E, Theodorakopoulou MP, Boutou AK, Alexandrou ME, Bakaloudi DR, Sarridou D, et al. Cardiopulmonary reserve examined with cardiopulmonary exercise testing in individuals with chronic kidney disease: a systematic review and meta-analysis. Ann Phys Rehabil Med. (2022) 65:101588. doi: 10.1016/j.rehab.2021.101588

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Patel N, Yaqoob MM, Aksentijevic D. Cardiac metabolic remodelling in chronic kidney disease. Nat Rev Nephrol. (2022) 18:524–37. doi: 10.1038/s41581-022-00576-x

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Loutradis C, Sarafidis PA, Papadopoulos CE, Papagianni A, Zoccali C. The Ebb and flow of echocardiographic cardiac function parameters in relationship to hemodialysis treatment in patients with ESRD. J Am Soc Nephrol. (2018) 29:1372–81. doi: 10.1681/ASN.2017101102

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Huang M, Lv A, Wang J, Xu N, Ma G, Zhai Z, et al. Exercise training and outcomes in hemodialysis patients: systematic review and meta-analysis. Am J Nephrol. (2019) 50:240–54. doi: 10.1159/000502447

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Moorman D, Suri R, Hiremath S, Jegatheswaran J, Kumar T, Bugeja A, et al. Benefits and barriers to and desired outcomes with exercise in patients with ESKD. Clin J Am Soc Nephrol. (2019) 14:268–76. doi: 10.2215/CJN.09700818

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Rhee SY, Song JK, Hong SC, Choi JW, Jeon HJ, Shin DH, et al. Intradialytic exercise improves physical function and reduces intradialytic hypotension and depression in hemodialysis patients. Korean J Intern Med. (2019) 34:588–98. doi: 10.3904/kjim.2017.020

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Deligiannis A, D'Alessandro C, Cupisti A. Exercise training in dialysis patients: impact on cardiovascular and skeletal muscle health. Clin Kidney J. (2021) 14:ii25–33. doi: 10.1093/ckj/sfaa273

PubMed Abstract | CrossRef Full Text | Google Scholar

14. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. (2002) 39(2 Suppl 1):S1–266. doi: 10.1592/phco.25.4.491.61034

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Peterson MD, Rhea MR, Sen A, Gordon PM. Resistance exercise for muscular strength in older adults: a meta-analysis. Ageing Res Rev. (2010) 9:226–37. doi: 10.1016/j.arr.2010.03.004

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Cunha PM, Tomeleri CM, Nascimento MAD, Nunes JP, Antunes M, Nabuco HCG, et al. Improvement of cellular health indicators and muscle quality in older women with different resistance training volumes. J Sports Sci. (2018) 36:2843–8. doi: 10.1080/02640414.2018.1479103

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Damas F, Libardi CA, Ugrinowitsch C. The development of skeletal muscle hypertrophy through resistance training: the role of muscle damage and muscle protein synthesis. Eur J Appl Physiol. (2018) 118:485–500. doi: 10.1007/s00421-017-3792-9

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Cadore EL, Pinto RS, Bottaro M, Izquierdo M. Strength and endurance training prescription in healthy and frail elderly. Aging Dis. (2014) 5:183–95. doi: 10.14336/ad.2014.0500183

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Willingham TB, Melbourn J, Moldavskiy M, McCully KK, Backus D. Effects of treadmill training on muscle oxidative capacity and endurance in people with multiple sclerosis with significant walking limitations. Int J MS Care. (2019) 21:166–72. doi: 10.7224/1537-2073.2018-021

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Garber CE, Blissmer B, Deschenes MR, Franklin BA, Lamonte MJ, Lee IM, et al. American College of Sports Medicine position stand. Quantity and quality of exercise for developing and maintaining cardiorespiratory, musculoskeletal, and neuromotor fitness in apparently healthy adults: guidance for prescribing exercise. Med Sci Sports Exerc. (2011) 43:1334–59. doi: 10.1249/MSS.0b013e318213fefb

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. (2019) 366:l4898. doi: 10.1136/bmj.l4898

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Balduzzi S, Rücker G, Schwarzer G. How to perform a meta-analysis with R: a practical tutorial. Evid Based Ment Health. (2019) 22:153–60. doi: 10.1136/ebmental-2019-300117

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Chawla N, Anothaisintawee T, Charoenrungrueangchai K, Thaipisuttikul P, McKay GJ, Attia J, et al. Drug treatment for panic disorder with or without agoraphobia: systematic review and network meta-analysis of randomised controlled trials. BMJ. (2022) 376:e066084. doi: 10.1136/bmj-2021-066084

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Béliveau A, Boyne DJ, Slater J, Brenner D, Arora P. BUGSnet: an R package to facilitate the conduct and reporting of Bayesian network meta-analyses. BMC Med Res Methodol. (2019) 19:196. doi: 10.1186/s12874-019-0829-2

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Shim SR, Kim SJ, Lee J, Rücker G. Network meta-analysis: application and practice using R software. Epidemiol Health. (2019) 41:e2019013. doi: 10.4178/epih.e2019013

PubMed Abstract | CrossRef Full Text | Google Scholar

26. van Valkenhoef G, Dias S, Ades AE, Welton NJ. Automated generation of node-splitting models for assessment of inconsistency in network meta-analysis. Res Synth Methods. (2016) 7:80–93. doi: 10.1002/jrsm.1167

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Dias S, Welton NJ, Sutton AJ, Caldwell DM, Lu G, Ades AE, et al. Decision Support Unit Technical Support Documents. NICE DSU Technical Support Document 4: Inconsistency in Networks of Evidence Based on Randomised Controlled Trials. London: National Institute for Health and Care Excellence (NICE) (2014).

PubMed Abstract | Google Scholar

28. Shim S, Yoon BH, Shin IS, Bae JM. Network meta-analysis: application and practice using Stata. Epidemiol Health. (2017) 39:e2017047. doi: 10.4178/epih.e2017047

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Nikolakopoulou A, Higgins JPT, Papakonstantinou T, Chaimani A, Del Giovane C, Egger M, et al. CINeMA: an approach for assessing confidence in the results of a network meta-analysis. PLoS Med. (2020) 17:e1003082. doi: 10.1371/journal.pmed.1003082

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Dobsak P, Homolka P, Svojanovsky J, Reichertova A, Soucek M, Novakova M, et al. Intra-dialytic electrostimulation of leg extensors may improve exercise tolerance and quality of life in hemodialyzed patients. Artif Organs. (2012) 36:71–8. doi: 10.1111/j.1525-1594.2011.01302.x

PubMed Abstract | CrossRef Full Text | Google Scholar

31. DePaul V, Moreland J, Eager T, Clase CM. The effectiveness of aerobic and muscle strength training in patients receiving hemodialysis and EPO: a randomized controlled trial. Am J Kidney Dis. (2002) 40:1219–29. doi: 10.1053/ajkd.2002.36887

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Wu Y, He Q, Yin X, He Q, Cao S, Ying G. Effect of individualized exercise during maintenance haemodialysis on exercise capacity and health-related quality of life in patients with uraemia. J Int Med Res. (2014) 42:718–27. doi: 10.1177/0300060513509037

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Pomidori L, Lamberti N, Malagoni AM, Manfredini F, Pozzato E, Felisatti M, et al. Respiratory muscle impairment in dialysis patients: can minimal dose of exercise limit the damage? A Preliminary study in a sample of patients enrolled in the EXCITE trial. J Nephrol. (2016) 29:863–9. doi: 10.1007/s40620-016-0325-2

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Baria F, Kamimura MA, Aoike DT, Ammirati A, Rocha ML, de Mello MT, et al. Randomized controlled trial to evaluate the impact of aerobic exercise on visceral fat in overweight chronic kidney disease patients. Nephrol Dial Transplant. (2014) 29:857–64. doi: 10.1093/ndt/gft529

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Cheema B, Abas H, Smith B, O'Sullivan A, Chan M, Patwardhan A, et al. Progressive exercise for anabolism in kidney disease (PEAK): a randomized, controlled trial of resistance training during hemodialysis. J Am Soc Nephrol. (2007) 18:1594–601. doi: 10.1681/ASN.2006121329

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Cheema B, Abas H, Smith B, O'Sullivan A, Chan M, Patwardhan A, et al. Randomized controlled trial of intradialytic resistance training to target muscle wasting in ESRD: the Progressive Exercise for Anabolism in Kidney Disease (PEAK) study. Am J Kidney Dis. (2007) 50:574–84. doi: 10.1053/j.ajkd.2007.07.005

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Ortega-Pérez de Villar L, Martínez-Olmos FJ, Pérez-Domínguez FB, Benavent-Caballer V, Montañez-Aguilera FJ, Mercer T, et al. Comparison of intradialytic versus home-based exercise programs on physical functioning, physical activity level, adherence, and health-related quality of life: pilot study. Sci Rep. (2020) 10:8302. doi: 10.1038/s41598-020-64372-y

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Fernandes AO, Sens Y, Xavier VB, Miorin LA, Alves V. Functional and respiratory capacity of patients with chronic kidney disease undergoing cycle ergometer training during hemodialysis sessions: a randomized clinical trial. Int J Nephrol. (2019) 2019:7857824. doi: 10.1155/2019/7857824

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Manfredini F, Mallamaci F, D'Arrigo G, Baggetta R, Bolignano D, Torino C, et al. Exercise in patients on dialysis: a multicenter, randomized clinical trial. J Am Soc Nephrol. (2017) 28:1259–68. doi: 10.1681/ASN.2016030378

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Schardong J, Dipp T, Bozzeto CB, da Silva MG, Baldissera GL, Ribeiro RC, et al. Effects of intradialytic neuromuscular electrical stimulation on strength and muscle architecture in patients with chronic kidney failure: randomized clinical trial. Artif Organs. (2017) 41:1049–58. doi: 10.1111/aor.12886

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Baggetta R, D'Arrigo G, Torino C, ElHafeez SA, Manfredini F, Mallamaci F, et al. Effect of a home based, low intensity, physical exercise program in older adults dialysis patients: a secondary analysis of the EXCITE trial. BMC Geriatr. (2018) 18:248. doi: 10.1186/s12877-018-0938-5

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Campos NG, Marizeiro DF, Florêncio ACL, Silva ÍC, Meneses GC, Bezerra GF, et al. Effects of respiratory muscle training on endothelium and oxidative stress biomarkers in hemodialysis patients: a randomized clinical trial. Respir Med. (2018) 134:103–9. doi: 10.1016/j.rmed.2017.12.005

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Bohm C, Stewart K, Onyskie-Marcus J, Esliger D, Kriellaars D, Rigatto C. Effects of intradialytic cycling compared with pedometry on physical function in chronic outpatient hemodialysis: a prospective randomized trial. Nephrol Dial Transplant. (2014) 29:1947–55. doi: 10.1093/ndt/gfu248

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Pellizzaro CO, Thomé FS, Veronese FV. Effect of peripheral and respiratory muscle training on the functional capacity of hemodialysis patients. Ren Fail. (2013) 35:189–97. doi: 10.3109/0886022X.2012.745727

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Dornelas BR, Lima FA. Effects of daily inspiratory muscle training on respiratory muscle strength and chest wall regional volumes in hemodialysis patients: a randomized clinical trial. Disabil Rehabil. (2021) 43:2828. doi: 10.1080/09638288.2019.1709566

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Frih B, Jaafar H, Mkacher W, Ben Salah Z, Hammami M, Frih A. The effect of interdialytic combined resistance and aerobic exercise training on health related outcomes in chronic hemodialysis patients: the tunisian randomized controlled study. Front Physiol. (2017) 8:288. doi: 10.3389/fphys.2017.00288

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Cardoso RK, Araujo AM, Del Vechio FB, Bohlke M, Barcellos FC, Oses JP, et al. Intradialytic exercise with blood flow restriction is more effective than conventional exercise in improving walking endurance in hemodialysis patients: a randomized controlled trial. Clin Rehabil. (2020) 34:91–8. doi: 10.1177/0269215519880235

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Marchesan M, Krug RdR, Silva JRLdC, Barbosa AR, Rombaldi AJ. Physical exercise modifies the functional capacity of elderly patients on hemodialysis. Fisioter Mov. (2016) 29:351–9. doi: 10.1590/0103-5150.029.002.AO14

CrossRef Full Text | Google Scholar

49. Jamshidpour B, Bahrpeyma F, Khatami MR. The effect of aerobic and resistance exercise training on the health related quality of life, physical function, and muscle strength among hemodialysis patients with Type 2 diabetes. J Bodyw Mov Ther. (2020) 24:98–103. doi: 10.1016/j.jbmt.2019.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Yeh ML, Wang MH, Hsu CC, Liu YM. Twelve-week intradialytic cycling exercise improves physical functional performance with gain in muscle strength and endurance: a randomized controlled trial. Clin Rehabil. (2020) 34:916–26. doi: 10.1177/0269215520921923

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Zhang F, Huang L, Wang W, Shen Q, Zhang H. Effect of intradialytic progressive resistance exercise on physical fitness and quality of life in maintenance haemodialysis patients. Nurs Open. (2020) 7:1945–53. doi: 10.1002/nop2.585

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Anastasia S, Evangelia K, Konstantinos F, Serafeim A, Asterios D. The effects of aquatic exercise on functional capacity and health-related quality of life in hemodialysis patients. J Clin Exp Nephrol. (2016) 1:1–6. doi: 10.21767/2472-5056.100015

CrossRef Full Text | Google Scholar

53. Fuzari HK, Dornelas de Andrade A, A Rodrigues M, I Medeiros A, F Pessoa M, Lima AM, et al. Whole body vibration improves maximum voluntary isometric contraction of knee extensors in patients with chronic kidney disease: a randomized controlled trial. Physiother Theory Pract. (2019) 35:409–18. doi: 10.1080/09593985.2018.1443537

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Chang JH, Koo M, Wu SW, Chen CY. Effects of a 12-week program of Tai Chi exercise on the kidney disease quality of life and physical functioning of patients with end-stage renal disease on hemodialysis. Complement Ther Med. (2017) 30:79–83. doi: 10.1016/j.ctim.2016.12.002

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Nilsson BB, Bunæs-Næss H, Edvardsen E, Stenehjem AE. High-intensity interval training in haemodialysis patients: a pilot randomised controlled trial. BMJ Open Sport Exerc Med. (2019) 5:e000617. doi: 10.1136/bmjsem-2019-000617

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Arazi T, Aliasgharpour M, Mohammadi S, Mohammadi N, Kazemnejad A. Effect of a breathing exercise on respiratory function and 6-minute walking distance in patients under hemodialysis: a randomized controlled trial. J Nurs Res. (2021) 29:e146. doi: 10.1097/JNR.0000000000000423

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Krase AA, Terzis G, Giannaki CD, Stasinaki AN, Wilkinson TJ, Smith AC, et al. Seven months of aerobic intradialytic exercise training can prevent muscle loss in haemodialysis patients: an ultrasonography study. Int Urol Nephrol. (2022) 54:447–56. doi: 10.1007/s11255-021-02931-6

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Esteve Simo V, Junqué Jiménez A, Moreno Guzmán F, Carneiro Oliveira J, Fulquet Nicolas M, Pou Potau M, et al. Benefits of a low intensity exercise programme during haemodialysis sessions in elderly patients. Nefrologia. (2015) 35:385–94. doi: 10.1016/j.nefro.2015.03.006

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Segura-Ortí E, Pérez-Domínguez B, Ortega-Pérez de Villar L, Meléndez-Oliva E, Martínez-Gramage J, García-Maset R, et al. Virtual reality exercise intradialysis to improve physical function: a feasibility randomized trial. Scand J Med Sci Sports. (2019) 29:89–94. doi: 10.1111/sms.13304

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Koh KP, Fassett RG, Sharman JE, Coombes JS, Williams AD. Effect of intradialytic versus home-based aerobic exercise training on physical function and vascular parameters in hemodialysis patients: a randomized pilot study. Am J Kidney Dis. (2010) 55:88–99. doi: 10.1053/j.ajkd.2009.09.025

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Kirkman DL, Mullins P, Junglee NA, Kumwenda M, Jibani MM, Macdonald JH. Anabolic exercise in haemodialysis patients: a randomised controlled pilot study. J Cachexia Sarcopenia Muscle. (2014) 5:199–207. doi: 10.1007/s13539-014-0140-3

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Myers J, Chan K, Chen Y, Lit Y, Patti A, Massaband P, et al. Effect of a home-based exercise program on indices of physical function and quality of life in elderly maintenance hemodialysis patients. Kidney Blood Press Res. (2021) 46:196–206. doi: 10.1159/000514269

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Matsufuji S, Shoji T, Yano Y, Tsujimoto Y, Kishimoto H, Tabata T, et al. Effect of chair stand exercise on activity of daily living: a randomized controlled trial in hemodialysis patients. J Ren Nutr. (2015) 25:17–24. doi: 10.1053/j.jrn.2014.06.010

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Manfredini F, Lamberti N, Malagoni AM, Felisatti M, Zuccalà A, Torino C, et al. The role of deconditioning in the end-stage renal disease myopathy: physical exercise improves altered resting muscle oxygen consumption. Am J Nephrol. (2015) 41:329–36. doi: 10.1159/000431339

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Roxo RS, Xavier VB, Miorin LA, Magalhães AO, Sens YA, Alves VL. Impact of neuromuscular electrical stimulation on functional capacity of patients with chronic kidney disease on hemodialysis. J Bras Nefrol. (2016) 38:344–50. doi: 10.5935/0101-2800.20160052

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Orcy RB, Dias PS, Seus TL, Barcellos FC, Bohlke M. Combined resistance and aerobic exercise is better than resistance training alone to improve functional performance of haemodialysis patients–results of a randomized controlled trial. Physiother Res Int. (2012) 17:235–43. doi: 10.1002/pri.1526

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Exel AL, Lima PS, Urtado CB, Dibai-Filho AV, Vilanova CL, Sabino EFP, et al. Effectiveness of a resistance exercise program for lower limbs in chronic renal patients on hemodialysis: a randomized controlled trial. Hemodial Int. (2021). doi: 10.1111/hdi.12918

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Marchesan M, Nunes VGdS, Rombaldi AJ. Physical training improves physical fitness and the quality of life of patients on hemodialysis. Rev Bras Cineantropometria Desempenho Hum. (2014) 16:334–44. doi: 10.5007/1980-0037.2014v16n3p334

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Esteve V, Carneiro J, Moreno F, Fulquet M, Garriga S, Pou M, et al. The effect of neuromuscular electrical stimulation on muscle strength, functional capacity and body composition in haemodialysis patients. Nefrologia. (2017) 37:68–77. doi: 10.1016/j.nefroe.2017.01.011

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Tao Haiyan LY, Chen Yi. Effect of low-intensity aerobic rehabilitation exercise on dialysis effect of lipid metabolism and dialysis-related fatigue in patients with chronic renal insufficiency hemodialysis. Shanxi Med J. (2017) 46:857–9. doi: 10.3969/j.jssn.0253-9926

CrossRef Full Text

71. Dongxing T. Effect of dynamic anti-resistance exercise training on improving quality of life in patients with chronic heart failure and end-stage renal disease. Shandong Med. (2015) 55:46–8. doi: 10.3969/j.issn.1002-266X.2015.31.018

CrossRef Full Text

72. Hui W. Effects of low-intensity aerobic training combined with health education on complication rate and quality of life in patients with maintenance hemodialysis. Nurs Pract Res. (2017) 14:31–3. doi: 10.3969/j.issn.1672-9676.2017.19.013

CrossRef Full Text

73. Huang Liu HY, Jianying L, Yanjuan T. Effect of aerobic exercise on lower limb motor function and fatigue in patients on maintenance hemodialysis. Guangxi Med J. (2015) 37:476–8, 484. doi: 10.11675/j.issn.0253-4304.2015.04.13

CrossRef Full Text

74. Yu Xintao CS, Xiaojing J, Mei C, Jun X. Effect of exercise intervention in dialysis on patients on maintenance hemodialysis. J Nurs. (2021) 36:5–8. doi: 10.3870/j.issn.1001-4152.2021.17.005

CrossRef Full Text

75. Ye Xiaoshuang JL, Chenxia J, Juanjuan J, Yan C. Effects of aerobic-impedance exercise on physiological function and quality of life of elderly patients on hemodialysis. Chin J Gerontol. (2022) 42:1399–402. doi: 10.3969/j.issn.1005-9202.2022.06.036

PubMed Abstract | CrossRef Full Text

76. Wang Tingting CX, Yanjuan L. Effects of low-intensity aerobic rehabilitation exercise on psychological state and lower limb motor function of uremia hemodialysis patients. Jilin M. (2022) 43:565–6. doi: 10.3969/j.issn.1004-0412.2022.02.109

CrossRef Full Text

77. Li P, Wang D. Effects of aerobic exercise on 6-minute walk distance and serum level of omentin-1 in hemodialysis patients. Tianjin Med J. (2016) 44:1014–7. doi: 10.11958/20150248

CrossRef Full Text | Google Scholar

78. Liao Li SG. Effect of low-intensity aerobic training on the quality of life of maintenance hemodialysis patients. Renowned Doctor. (2020) 11:270–1.

79. Huang M, Lv A, Wang J, Zhang B, Xu N, Zhai Z, et al. The effect of intradialytic combined exercise on hemodialysis efficiency in end-stage renal disease patients: a randomized-controlled trial. Int Urol Nephrol. (2020) 52:969–76. doi: 10.1007/s11255-020-02459-1

PubMed Abstract | CrossRef Full Text | Google Scholar

80. de Campos RM, de Matos GC, Moreira PR, Figueiró MF, de Rosso Krug R, Keller KD. Efeitos de um treinamento fisioterapêutico baseado em exercícios aeróbios e resistidos sobre a força e resistência muscular pacientes em hemodiálise. Arq Catarinenses Med. (2021) 50:15–27.

Google Scholar

81. Oliveros MS, Avendaño M, Bunout D, Hirsch S, De La Maza MP, Pedreros C, et al. Estudio piloto sobre entrenamiento físico durante hemodiálisis. Rev Méd Chile. (2011) 139:1046–53. doi: 10.4067/S0034-98872011000800010

PubMed Abstract | CrossRef Full Text | Google Scholar

82. van Vilsteren MC, de Greef MH, Huisman RM. The effects of a low-to-moderate intensity pre-conditioning exercise programme linked with exercise counselling for sedentary haemodialysis patients in The Netherlands: results of a randomized clinical trial. Nephrol Dial Transplant. (2005) 20:141–6. doi: 10.1093/ndt/gfh560

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Petraki M, Kouidi E, Grekas D, Deligiannis A. Effects of exercise training during hemodialysis on cardiac baroreflex sensitivity. Clin Nephrol. (2008) 70:210–9. doi: 10.5414/CNP70210

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Koufaki P, Mercer TH, Naish PF. Effects of exercise training on aerobic and functional capacity of end-stage renal disease patients. Clin Physiol Funct Imaging. (2002) 22:115–24. doi: 10.1046/j.1365-2281.2002.00405.x

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Konstantinidou E, Koukouvou G, Kouidi E, Deligiannis A, Tourkantonis A. Exercise training in patients with end-stage renal disease on hemodialysis: comparison of three rehabilitation programs. J Rehabil Med. (2002) 34:40–5. doi: 10.1080/165019702317242695

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Mustata S, Groeneveld S, Davidson W, Ford G, Kiland K, Manns B. Effects of exercise training on physical impairment, arterial stiffness and health-related quality of life in patients with chronic kidney disease: a pilot study. Int Urol Nephrol. (2011) 43:1133–41. doi: 10.1007/s11255-010-9823-7

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Tsuyuki K, Kimura Y, Chiashi K, Matsushita C, Ninomiya K, Choh K, et al. Oxygen uptake efficiency slope as monitoring tool for physical training in chronic hemodialysis patients. Ther Apher Dial. (2003) 7:461–7. doi: 10.1046/j.1526-0968.2003.00084.x

PubMed Abstract | CrossRef Full Text | Google Scholar

88. McGregor G, Ennis S, Powell R, Hamborg T, Raymond NT, Owen W, et al. Feasibility and effects of intra-dialytic low-frequency electrical muscle stimulation and cycle training: a pilot randomized controlled trial. PLoS ONE. (2018) 13:e0200354. doi: 10.1371/journal.pone.0200354

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Kouidi EJ, Grekas DM, Deligiannis AP. Effects of exercise training on noninvasive cardiac measures in patients undergoing long-term hemodialysis: a randomized controlled trial. Am J Kidney Dis. (2009) 54:511–21. doi: 10.1053/j.ajkd.2009.03.009

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Ouzouni S, Kouidi E, Sioulis A, Grekas D, Deligiannis A. Effects of intradialytic exercise training on health-related quality of life indices in haemodialysis patients. Clin Rehabil. (2009) 23:53–63. doi: 10.1177/0269215508096760

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Carmack CL, Amaral-Melendez M, Boudreaux E, Brantley PJ, Jones GN, Franks BD, et al. Exercise as a component of the physical and psychological rehabilitation of hemodialysis patients. Int J Rehabil Health. (1995) 1:13–23. doi: 10.1007/BF02214958

CrossRef Full Text | Google Scholar

92. Andrade FP, Borba GC, da Silva KC, Ferreira TS, de Oliveira SG, Antunes VVH, et al. Intradialytic periodized exercise improves cardiopulmonary fitness and respiratory function: a randomized controlled trial. Semin Dial. (2022) 35:181–9. doi: 10.1111/sdi.13020

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Greenwood SA, Koufaki P, Mercer TH, MacLaughlin HL, Rush R, Lindup H, et al. Effect of exercise training on estimated GFR, vascular health, and cardiorespiratory fitness in patients with CKD: a pilot randomized controlled trial. Am J Kidney Dis. (2015) 65:425–34. doi: 10.1053/j.ajkd.2014.07.015

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Storer TW, Casaburi R, Sawelson S, Kopple JD. Endurance exercise training during haemodialysis improves strength, power, fatigability and physical performance in maintenance haemodialysis patients. Nephrol Dial Transplant. (2005) 20:1429–37. doi: 10.1093/ndt/gfh784

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Cai Shanshan SX. Observation of the effect of incremental aerobic resistance exercise in patients with MHD. J Shandong Med Coll. (2020) 42:384–5. doi: 10.3969/j.issn.1674-0947.2020.05.034

CrossRef Full Text

96. Kouidi E, Karagiannis V, Grekas D, Iakovides A, Kaprinis G, Tourkantonis A, et al. Depression, heart rate variability, and exercise training in dialysis patients. Eur J Cardiovasc Prev Rehabil. (2010) 17:160–7. doi: 10.1097/HJR.0b013e32833188c4

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Reboredo MM, Neder JA, Pinheiro BV, Henrique DM, Faria RS, Paula RB. Constant work-rate test to assess the effects of intradialytic aerobic training in mildly impaired patients with end-stage renal disease: a randomized controlled trial. Arch Phys Med Rehabil. (2011) 92:2018–24. doi: 10.1016/j.apmr.2011.07.190

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Thompson S, Klarenbach S, Molzahn A, Lloyd A, Gabrys I, Haykowsky M, et al. Randomised factorial mixed method pilot study of aerobic and resistance exercise in haemodialysis patients: DIALY-SIZE! BMJ Open. (2016) 6:e012085. doi: 10.1136/bmjopen-2016-012085

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Suzuki T, Ikeda M, Minami M, Matayoshi Y, Nakao M, Nakamura T, et al. Beneficial effect of intradialytic electrical muscle stimulation in hemodialysis patients: a randomized controlled trial. Artif Organs. (2018) 42:899–910. doi: 10.1111/aor.13161

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Molsted S, Eidemak I, Sorensen HT, Kristensen JH. Five months of physical exercise in hemodialysis patients: effects on aerobic capacity, physical function and self-rated health. Nephron Clin Pract. (2004) 96:c76–81. doi: 10.1159/000076744

PubMed Abstract | CrossRef Full Text | Google Scholar

101. Deligiannis A, Kouidi E, Tassoulas E, Gigis P, Tourkantonis A, Coats A. Cardiac effects of exercise rehabilitation in hemodialysis patients. Int J Cardiol. (1999) 70:253–66. doi: 10.1016/S0167-5273(99)00090-X

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Cooke AB, Ta V, Iqbal S, Gomez YH, Mavrakanas T, Barré P, et al. The impact of intradialytic pedaling exercise on arterial stiffness: a pilot randomized controlled trial in a hemodialysis population. Am J Hypertens. (2018) 31:458–66. doi: 10.1093/ajh/hpx191

PubMed Abstract | CrossRef Full Text | Google Scholar

103. Jeong JH, Biruete A, Tomayko EJ, Wu PT, Fitschen P, Chung HR, et al. Results from the randomized controlled IHOPE trial suggest no effects of oral protein supplementation and exercise training on physical function in hemodialysis patients. Kidney Int. (2019) 96:777–86. doi: 10.1016/j.kint.2019.03.018

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Soliman HMM. Effect of intradialytic exercise on fatigue, electrolytes level and blood pressure in hemodialysis patients: a randomized controlled trial. J Nurs Educ Pract. (2015) 5:16–28. doi: 10.5430/jnep.v5n11p16

CrossRef Full Text | Google Scholar

105. Wilund KR, Tomayko EJ, Wu PT, Ryong Chung H, Vallurupalli S, Lakshminarayanan B, et al. Intradialytic exercise training reduces oxidative stress and epicardial fat: a pilot study. Nephrol Dial Transplant. (2010) 25:2695–701. doi: 10.1093/ndt/gfq106

PubMed Abstract | CrossRef Full Text | Google Scholar

106. Desai M, Mohamed A, Davenport A. A pilot study investigating the effect of pedalling exercise during dialysis on 6-min walking test and hand grip and pinch strength. Int J Artif Organs. (2019) 42:161–6. doi: 10.1177/0391398818823761

PubMed Abstract | CrossRef Full Text | Google Scholar

107. Toussaint ND, Polkinghorne KR, Kerr PG. Impact of intradialytic exercise on arterial compliance and B-type natriuretic peptide levels in hemodialysis patients. Hemodial Int. (2008) 12:254–63. doi: 10.1111/j.1542-4758.2008.00262.x

PubMed Abstract | CrossRef Full Text | Google Scholar

108. Zhang Hongmei FR, Liyang C, Jianfang Z, Fenxia L, Xinghua H. Effects of Taijiquan exercise on physical fitness and fatigue in hemodialysis patients. Chin J Integr Nephrol. (2015) 16:807–10.

109. Luo Xianglian HY, Chunlian S, Junmin X, Ting Z, Yanchun F. Effect of smile yoga on physiological index and emotion of hemodialysis patients. Shanghai Nurs. (2021) 21:17–22.

110. Jia Xijiao ZG, Panke Z, Zengchang L, Rui L, Ping Z, Fang Z. Hypotensive effect of exercise therapy Baduanjin on patients with hemodialytic hypertension. Int Herald Med Health. (2020) 26:905–8. doi: 10.3969/j.issn.1009-8399.2021.10.005

CrossRef Full Text

111. Whyte JJ, Laughlin MH. The effects of acute and chronic exercise on the vasculature. Acta Physiol. (2010) 199:441–50. doi: 10.1111/j.1748-1716.2010.02127.x

PubMed Abstract | CrossRef Full Text | Google Scholar

112. Miki K, Yoshimoto M. Exercise-induced modulation of baroreflex control of sympathetic nerve activity. Front Neurosci. (2018) 12:493. doi: 10.3389/fnins.2018.00493

PubMed Abstract | CrossRef Full Text | Google Scholar

113. Zouhal H, Jacob C, Delamarche P, Gratas-Delamarche A. Catecholamines and the effects of exercise, training and gender. Sports Med. (2008) 38:401–23. doi: 10.2165/00007256-200838050-00004

PubMed Abstract | CrossRef Full Text | Google Scholar

114. Kruk J, Kotarska K, Aboul-Enein BH. Physical exercise and catecholamines response: benefits and health risk: possible mechanisms. Free Radic Res. (2020) 54:105–25. doi: 10.1080/10715762.2020.1726343

PubMed Abstract | CrossRef Full Text | Google Scholar

115. Harber VJ, Sutton JR. Endorphins and exercise. Sports Med. (1984) 1:154–71. doi: 10.2165/00007256-198401020-00004

PubMed Abstract | CrossRef Full Text | Google Scholar

116. Thorén P, Floras JS, Hoffmann P, Seals DR. Endorphins and exercise: physiological mechanisms and clinical implications. Med Sci Sports Exerc. (1990) 22:417–28. doi: 10.1249/00005768-199008000-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

117. Jones AM, Carter H. The effect of endurance training on parameters of aerobic fitness. Sports Med. (2000) 29:373–86. doi: 10.2165/00007256-200029060-00001

PubMed Abstract | CrossRef Full Text | Google Scholar

118. Loe H, Nes BM, Wisløff U. Predicting VO2peak from submaximal- and peak exercise models: the HUNT 3 Fitness Study, Norway. PLoS ONE. (2016) 11:e0144873. doi: 10.1371/journal.pone.0144873

PubMed Abstract | CrossRef Full Text | Google Scholar

119. Drüeke TB, Massy ZA. Atherosclerosis in CKD: differences from the general population. Nat Rev Nephrol. (2010) 6:723–35. doi: 10.1038/nrneph.2010.143

PubMed Abstract | CrossRef Full Text | Google Scholar

120. Scapini KB, Bohlke M, Moraes OA, Rodrigues CG, Inácio JF, Sbruzzi G, et al. Combined training is the most effective training modality to improve aerobic capacity and blood pressure control in people requiring haemodialysis for end-stage renal disease: systematic review and network meta-analysis. J Physiother. (2019) 65:4–15. doi: 10.1016/j.jphys.2018.11.008

PubMed Abstract | CrossRef Full Text | Google Scholar

121. Farese S, Budmiger R, Aregger F, Bergmann I, Frey FJ, Uehlinger DE. Effect of transcutaneous electrical muscle stimulation and passive cycling movements on blood pressure and removal of urea and phosphate during hemodialysis. Am J Kidney Dis. (2008) 52:745–52. doi: 10.1053/j.ajkd.2008.03.017

PubMed Abstract | CrossRef Full Text | Google Scholar

122. Wilson JM, Marin PJ, Rhea MR, Wilson SM, Loenneke JP, Anderson JC. Concurrent training: a meta-analysis examining interference of aerobic and resistance exercises. J Strength Cond Res. (2012) 26:2293–307. doi: 10.1519/JSC.0b013e31823a3e2d

PubMed Abstract | CrossRef Full Text | Google Scholar

123. Davis WJ, Wood DT, Andrews RG, Elkind LM, Davis WB. Concurrent training enhances athletes' strength, muscle endurance, and other measures. J Strength Cond Res. (2008) 22:1487–502. doi: 10.1519/JSC.0b013e3181739f08

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: chronic kidney failure, renal dialysis, exercise, cardiopulmonary function, Bayesian network meta-analysis

Citation: Zang W, Fang M, He H, Mu L, Zheng X, Shu H, Ge N and Wang S (2022) Comparative efficacy of exercise modalities for cardiopulmonary function in hemodialysis patients: A systematic review and network meta-analysis. Front. Public Health 10:1040704. doi: 10.3389/fpubh.2022.1040704

Received: 09 September 2022; Accepted: 14 November 2022;
Published: 01 December 2022.

Edited by:

I-Shiang Tzeng, National Taipei University, Taiwan

Reviewed by:

Kripalini Patel, Regional Medical Research Center (ICMR), India
Yang Jiao, Hubei Provincial Hospital of Traditional Chinese Medicine, China
Chengwei Fu, Guangzhou University of Chinese Medicine, China, in collaboration with reviewer YJ

Copyright © 2022 Zang, Fang, He, Mu, Zheng, Shu, Ge and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Su Wang, wangsu@hrbipe.edu.cn

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.