Evidence map›Paper›PMID 40078193›Full record

SynthesisFrontiers in oncology2025

Which specific modes of exercise training are most effective for breast related cancer fatigue? Network meta-analysis.

Ying Li, Jianhua Zhang, Di Hu, Lei Gao, Ting Huang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. 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

5 authors.

Ying LiCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Jianhua ZhangCollege of Sports Science, Jishou University, Jishou, Hunan, China.
Di HuDepartment of Neurology, Zhongshan Hospital Affiliated to Dalian University, Dalian, Liaoning, China.
Lei GaoSchool of Nursing, Dalian University, Dalian, Liaoning, China.
Ting HuangEarly Intervention Ward, The Third People's Hospital of Ganzhou, Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study was to examine the impact of various exercise modalities on Cancer-Related Fatigue (CRF) among breast cancer patients. Methods: A computerized search was conducted on databases including PubMed, Embase, Cochrane Library, Web of Science, CNKI, VIP, and Wanfang Database up to October 2023. Selection criteria were applied to include or exclude studies, resulting in the inclusion of 65 articles for comparison of the effects of 12 distinct exercise interventions on individuals with breast cancer. Results: The 65 studies used 12 different measures of exercise. Network meta results show that Compared with Other exercise (OE), Baduanjin exercise (BE), Qigong (QG), Control group (CG), Tai Chi (TC) improved significantly in CFR. The effect of Yoga (YG) on improving sleep quality is better than Control group (CG) and Baduanjin exercise (BE). Compared with Control group (CG), Tai Chi (TC) and Yoga (YG) are more beneficial to improve the quality of life of breast cancer patients. Tai Chi (TC) is better than Multimodal exercise (ME), Other exercise (OE), Baduanjin exercise (BE), Pilates exercise (PE), Yoga (YG), Qigong (QG), Dance exercise (DE), Qigong (QG) in improving depression in breast cancer patients. Conclusion: The study revealed that Tai Chi demonstrates positive effects in ameliorating CRF, enhancing quality of life, and alleviating depressive symptoms among breast cancer patients. Moreover, yoga exhibits favorable effects in improving sleep quality in this patient group. Nevertheless, additional randomized controlled trials (RCTs) are warranted in the future to delve deeper into the effectiveness and underlying mechanisms of these exercise interventions.

Indexed as

breast cancercancerCFRmeta - analysisnetwork meta-analysis

Identifiers

PMID40078193
PMCPMC11897559

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.