Evidence map›Paper›PMID 41356241›Full record

SynthesisFrontiers in neurology2025

Effectiveness and safety of exercise therapy in patients with myalgic encephalomyelitis/chronic fatigue syndrome: a meta-analysis.

Zhenya Wei, Heying Wu, Chong Cui, Zixu Wang, Huazhong Xiong, Fujia Song, Jixiang Ren

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Zhenya WeiCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Heying WuCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Chong CuiCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Zixu WangCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Huazhong XiongAffiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China.
Fujia SongCollege of Chinese Medicine, Changchun University of Chinese Medicine, Changchun, Jilin, China.
Jixiang RenAffiliated Hospital of Changchun University of Chinese Medicine, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To promote the development of new therapies, we conduct a systematic review to evaluate the effectiveness and safety of exercise therapy for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Methods: PubMed, Web of Science, Embase, and Cochrane were searched for exercise therapy studies on ME/CFS up to March 2024. The literature was updated on June 7, 2025. The meta-analysis was performed using Stata 17.0 and RevMan 5.4. Results: A total of 13 studies with 1,305 patients were analyzed. Exercise therapy improved overall scores on fatigue scale-14 [FS-14; MD = -0.48, 95% CI (-0.77, -0.19), Conclusion: Evidence indicates that exercise therapy alleviates fatigue in ME/CFS patients, with varying effects across intervention types. Conventional aerobic exercise appears more effective for reducing overall fatigue than Qigong. However, Qigong shows greater benefits for reducing mental fatigue. Given the current limitations, the safety of exercise therapy requires further evaluation, and additional high-quality RCTs are warranted to validate these findings.

Indexed as

chronic fatigue syndromeeffectivenessexercise therapymeta-analysisQigong

Identifiers

PMID41356241
PMCPMC12678084

What OpenQuestion holds

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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.