Evidence map›Paper›PMID 39375499›Full record

SynthesisScientific reports2024

Comparative study for fatigue prevalence in subjects with diseases: a systematic review and meta-analysis.

Na-Hyun Park, Ye-Eun Kang, Ji-Hae Yoon, Yo-Chan Ahn, Eun-Jung Lee, Byung-Jin Park, Chang-Gue Son

Abstract readSystematic ReviewMeta-AnalysisComparative Study
In one paragraph

Synthesis in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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.

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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  4. Article
  5. Article
  6. Article
  7. Article
  8. Urinary metabolites and fatigue in a population-based metabolomics study: an exploratory analysis.Metabolomics : Official journal of the Metabolomic Society · 2026
    Article
  9. Article
  10. Review
  11. Fatigue after pulmonary embolism-prevalence and predictors.Frontiers in cardiovascular medicine · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
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

7 authors.

Na-Hyun ParkKorean Medical College of Daejeon University, 62, Daehak-ro, Dong-gu, Daejeon, Republic of Korea.
Ye-Eun KangKorean Medical College of Daejeon University, 62, Daehak-ro, Dong-gu, Daejeon, Republic of Korea.
Ji-Hae YoonKorean Medical College of Daejeon University, 62, Daehak-ro, Dong-gu, Daejeon, Republic of Korea.
Yo-Chan AhnDepartment of Health Service Management, Daejeon University, 96-3 Yongun-dong, Dong-gu, Daejeon, 300-716, Republic of Korea.
Eun-Jung LeeDepartment of Korean Rehabilitation Medicine, College of Korean Medicine, Daejeon University, Daedeok-daero 176, Seo-gu, Daejeon, 35235, Republic of Korea.
Byung-Jin ParkKorean Medical College of Daejeon University, 62, Daehak-ro, Dong-gu, Daejeon, Republic of Korea.
Chang-Gue SonResearch Center for CFS/ME, Daejeon Oriental Hospital of Daejeon University, 176 Daedeok-daero, Seo-gu, Daejeon, 35235, Republic of Korea. ckson@dju.ac.kr.

Funding

National Research Foundation of Korea ICT & Future Planning (NRF-2018R1A6A1A03025221)
6 · The paper itself

Abstract

Fatigue is one of the common symptoms in individuals with diseases or disorders, significantly affecting quality of life (QoL) and the prognosis of diseases. This study aimed to comprehensively compare the features of fatigue across a wide range of diseases. We systematically searched the PubMed and Cochrane Library databases from inception to March 31st, 2021, and conducted a meta-analysis to generate precise estimates. The analyses were stratified by classification of diseases, gender, and severity of fatigue (moderate and severe), and study quality was assessed using the Newcastle-Ottawa Scale (NOS). In total, 214 articles (233 prevalence data) met our eligibility criteria, covering 102,024 participants (mean 438 ± 1,421) across 88 diseases. Among these, seventy-eight data sets (52,082 participants) and thirty-nine data sets (10,389 participants) reported gender- and severity-related fatigue prevalence. The overall prevalence among subjects with 88 diseases was 49.4% [95% CI 46.9-52.1]. According to the International Classification of Diseases-10 (ICD-10) classification, the highest prevalence of fatigue (65.9% [95% CI 54.9-79.6]) was observed in patients with mental/behavioral diseases, whereas the lowest prevalence (34.7% [95% CI 24.5-49.2]) was found among those with circulatory system diseases. A slight female dominance (43.5% vs. 49.8%) was observed in the total data, with the most notable female predominance (1.8-fold) seen in patients with low back pain. The top disease groups with a moderate to severe level of fatigue included gastroparesis (92.3%), pulmonary hypertension (90.0%), chronic obstructive pulmonary disease (COPD, 83.2%), and multiple sclerosis (80.0%). These results are the first to comprehensively show the comparative features of fatigue prevalence among subjects across 88 diseases. Our findings provide valuable reference data for future research on fatigue and for the management of patients with fatigue.Prospero registration number: CRD42021270494.

Indexed as

FatigueQuality of LifeFemaleHumansMalePrevalenceClassification of diseasesFatigueMeta-analysisPrevalenceSystematic review

Identifiers

PMID39375499
PMCPMC11458619

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.