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Prevalence of post-dialysis fatigue: a systematic review and meta-analysis.


ABSTRACT:

Objectives

The purpose of this study was to synthesise data on the prevalence of post-dialysis fatigue (PDF) among haemodialysis (HD) patients.

Design

Systematic review and meta-analysis.

Data sources

China National Knowledge Infrastructure, Wanfang, Chinese Biological Medical Database, PubMed, EMBASE and Web of Science were searched from their inception to 1 April 2022.

Eligibility criteria

We selected patients who must receive HD treatment for at least 3 months. Cross-sectional or cohort studies published in Chinese or English were eligible for inclusion. The main search terms used in the abstract were: "renal dialysis", "hemodialysis" and "post-dialysis", in combination with the word "fatigue".

Data extraction and synthesis

Two investigators independently performed data extraction and quality assessment. Data were pooled to estimate the overall prevalence of PDF among HD patients using the random-effects model. Cochran's Q and I2 statistics were adopted to evaluate heterogeneity.

Result

A total of 12 studies were included, with 2152 HD patients, of which 1215 were defined as having PDF. The overall prevalence of PDF in HD patients was 61.0% (95% CI: 53.6% to 68.3%, p<0.001, I2=90.0%). Subgroup analysis failed to explain the source of heterogeneity, but univariable meta-regression showed that a mean age of ≥50 years might be the source of heterogeneity. Egger's test revealed no publication bias among the studies (p=0.144).

Conclusions

PDF is highly prevalent among HD patients.

SUBMITTER: Dou J 

PROVIDER: S-EPMC10277119 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Publications

Prevalence of post-dialysis fatigue: a systematic review and meta-analysis.

Dou Junkai J   Liu Huan H   Ma Yuan Y   Wu Ying-Ying YY   Tao Xiu-Bin XB  

BMJ open 20230613 6


<h4>Objectives</h4>The purpose of this study was to synthesise data on the prevalence of post-dialysis fatigue (PDF) among haemodialysis (HD) patients.<h4>Design</h4>Systematic review and meta-analysis.<h4>Data sources</h4>China National Knowledge Infrastructure, Wanfang, Chinese Biological Medical Database, PubMed, EMBASE and Web of Science were searched from their inception to 1 April 2022.<h4>Eligibility criteria</h4>We selected patients who must receive HD treatment for at least 3 months. Cr  ...[more]

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