Evidence map›Paper›PMID 40789624›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2025

The Impact of Multiple Exercise Modes on the Quality of Life of Stroke Patients: A Network Meta-Analysis.

Yongtao Fan, Zhikai Qin, Kuiliang Liu, Yingxu Pan, Junsheng Wang

Abstract readNetwork Meta-Analysis
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. The 4Cs of Primary Care, Leveraging Artificial Intelligence, and Improving Clinical Practice.Journal of the American Board of Family Medicine : JABFM · 2025
    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.

Yongtao FanFrom the Capital University of Physical Education and Sports, Beijing 100191, China (YT, ZQ, KL, YX, JS). panyingxu1969@163.com wangjunsheng1110@163.com.
Zhikai QinFrom the Capital University of Physical Education and Sports, Beijing 100191, China (YT, ZQ, KL, YX, JS).
Kuiliang LiuFrom the Capital University of Physical Education and Sports, Beijing 100191, China (YT, ZQ, KL, YX, JS).
Yingxu PanFrom the Capital University of Physical Education and Sports, Beijing 100191, China (YT, ZQ, KL, YX, JS).
Junsheng WangFrom the Capital University of Physical Education and Sports, Beijing 100191, China (YT, ZQ, KL, YX, JS). panyingxu1969@163.com wangjunsheng1110@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to evaluate the impact of 6 exercise therapies on the quality of life of stroke patients.

methodsA systematic search was conducted on PubMed, the Web of Science, PsycINFO, and the Cochrane Library to retrieve peer-reviewed articles written in English. The inclusion criteria consisted of (1) experimental or quasi-experimental studies, (2) utilization of different exercise therapies as experimental interventions, (3) inclusion of stroke patients as the target population, and (4) assessment of quality of life as an outcome measure.

resultsThe analysis included 25 studies involving 1243 subjects aged 18 years or older. The network meta-analysis revealed that among the 6 exercise therapies examined, Virtual Reality Training (82.3%) had the most significant impact on improving the quality of life in stroke patients. This was followed by Resistance Training (77.3%), Mind-Body Training (61%), Underwater Exercise (52%), Aerobic Exercise Training (44.1%), and High-Intensity Interval Training (19.2%).

conclusionsVirtual reality training was found to be highly effective in improving the quality of life in stroke patients. In addition, when combined with other exercise therapies, it enhanced physical function and overall quality of life.

Indexed as

Exercise TherapyQuality of LifeStrokeStroke RehabilitationHumansVirtual RealityExercise TherapyHealth PromotionMovementNetwork Meta-AnalysisQuality of LifeResistance TrainingStroke

Identifiers

PMID40789624
PMCPMC12616808

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.