Systematic Review and Meta-Analysis on Exercise Effects for Hemodialysis Patients

Jiahao Li published a systematic review and meta-analysis on 2026-04-23. The study synthesizes results from 27 randomized controlled trials involving 1,597 participants to assess the effects of exercise training on depression, anxiety, and physical health-related quality of life in end-stage renal disease patients receiving maintenance hemodialysis. The analysis was conducted using R and Stata software, evaluating standardized mean differences and confidence intervals.

Use Cases

• Assessing the efficacy of exercise interventions on depression in hemodialysis patients based on the meta-analysis results.
• Investigating the influence of patient age on therapy outcomes based on subgroup analyses indicating better results for patients under 60.
• Designing tailored exercise prescriptions based on findings related to intervention duration, exercise type, and weekly volume.
• Evaluating methodological quality and publication bias in clinical trials on this topic based on the described Cochrane and GRADE assessments.

Strengths

• The analysis is based on 27 studies involving 1,597 participants, providing a quantitative synthesis of evidence.
• The methodology is detailed, including sensitivity analysis, publication bias assessment via Egger's test, and quality appraisal using Cochrane and GRADE tools.
• Subgroup analyses provide specific insights, such as better outcomes for patients under 60 and for interventions exceeding 24 weeks.

Limitations

• The primary data file is a DOCX document (773.6 KB); the underlying tabular or statistical data used for the meta-analysis is not directly accessible.
• The description notes high statistical heterogeneity and a small number of included studies for some outcomes, limiting the certainty of conclusions, particularly regarding anxiety.
• Column-level documentation for any underlying data is absent; the dataset's structure and variables must be inferred from the manuscript text.

Provenance

Source

Jiahao Li via figshare.

Collection Method

Systematic literature search across 12 databases, data extraction based on PICOS framework, and meta-analysis using R and Stata software.

Time Range

Literature search covered from database inception to November 14, 2025.

Freshness

Last updated 2026-04-23 05:36:25.