Evidence map›Paper›PMID 41810242›Full record

ReviewFrontiers in medicine2026

Global prevalence of poor sleep quality in hemodialysis patients: a systematic review and meta-analysis.

Gui-Fen Shi, Xu-Hua Zhou, Lin Chen, Ying-Jun Zhang, Wen-Wen Yu, Jiao Zhang, Li He, Si-Kai Tang

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gui-Fen ShiDepartment of Nephrology, Hemodialysis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xu-Hua ZhouDepartment of Nephrology, Hemodialysis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lin ChenDepartment of Nephrology, Hemodialysis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ying-Jun ZhangDepartment of Nephrology, Hemodialysis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Wen-Wen YuDepartment of Nephrology, Hemodialysis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiao ZhangDepartment of Nephrology, Hemodialysis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Li HeDepartment of Nephrology, Hemodialysis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Si-Kai TangDepartment of Nephrology, Hemodialysis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Poor sleep quality is associated with various adverse outcomes among hemodialysis (HD) patients. Although poor sleep quality is a widely recognized health issue in HD patients, the reported prevalence in the current literature are remarkably inconsistent. This study aimed to determine the global prevalence of poor sleep quality in HD patients. Methods: A comprehensive literature search was conducted across seven electronic databases (PubMed, Web of Science, Scopus, Embase, Cochrane Library, CINAHL, PsycINFO) from their inception to October 20, 2025. Data extraction was performed using a standardized form, and the methodological quality of included studies was evaluated with the Joanna Briggs Institute (JBI) critical appraisal checklist for prevalence studies. A random-effects model was applied to calculate the pooled prevalence of poor sleep quality, and the heterogeneity was quantified using the I Results: A total of 69 studies involving 14,998 HD patients were included in the meta-analysis. The pooled global prevalence of poor sleep quality was 64.2% (95% CI: 60.5-67.8%). Based on the JBI critical appraisal tool, 55 studies were rated as having a low risk of bias, while 14 were considered to have a moderate risk of bias. Subgroup analysis revealed that the pooled prevalence varied significantly by the cut-off values. Meta-regression results indicated that prevalence was not significantly associated with sample size, mean age, dialysis duration, and proportion of females. Conclusion: Our findings demonstrate a high prevalence of poor sleep quality among HD patients. To mitigate the adverse effects of poor sleep quality on HD patients, healthcare providers should routinely conduct screenings and deliver evidence-based interventions.

Indexed as

epidemiologyhemodialysismeta-analysispoor sleep qualityprevalence

Identifiers

PMID41810242
PMCPMC12967946

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.