Evidence map›Paper›PMID 37311633›Full record

SynthesisBMJ open2023

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

Junkai Dou, Huan Liu, Yuan Ma, Ying-Ying Wu, Xiu-Bin Tao

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06947681 (Factors Predicting and Assessment of Post Dialysis Fatigue in Patients on Regular Hemodialysis in Assiut University Hospital), which is not on this map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
–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.

NCT06947681 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Factors Predicting and Assessment of Post Dialysis Fatigue in Patients on Regular Hemodialysis in Assiut University Hospital

TypeobservationalSponsorAssiut UniversityRan2025 to 2027Enrolled155ConditionsPost-dialysis Fatigue
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

5 authors.

Junkai DouSchool of Nursing, Anhui University of Traditional Chinese Medicine-East Campus, Hefei, China.ORCID 0000-0002-9811-5468
Huan LiuDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Wuhu, China.
Yuan MaSchool of Nursing, Wannan Medical College, Wuhu, China.
Ying-Ying WuSchool of Nursing, Wannan Medical College, Wuhu, China.
Xiu-Bin TaoDepartment of Nursing, The First Affiliated Hospital of Wannan Medical College, Wuhu, China yjstaoxiubin@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

designSystematic 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 I

resultA 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, I

conclusionsPDF is highly prevalent among HD patients.

Indexed as

FatigueRenal DialysisAsian PeopleChinaCross-Sectional StudiesHumansMiddle AgedPrevalencechronic renal failuredialysisend stage renal failure

Identifiers

PMID37311633
PMCPMC10277119

What OpenQuestion holds

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Registered trials

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 OpenQuestion graph.