Evidence map›Paper›PMID 41908282›Full record

SynthesisFrontiers in neurology

Revealing mind-body interaction mechanisms: a network meta-analysis of the effects of traditional Chinese medicine mind-body exercise interventions on stroke rehabilitation.

Zhenhui Zhao, Xianliang Wang

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Zhenhui ZhaoSchool of Physical Education, Shandong University, Jinan, China.
Xianliang WangSchool of Physical Education, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study employed a network meta-analysis to compare the efficacy of different Traditional Chinese Medicine mind-body exercises and determine their relative efficacy rankings in stroke rehabilitation. Methods: A comprehensive search of nine databases was conducted, covering studies from inception to February 2025. Participants included stroke patients (age ≥18 years). Interventions evaluated were four Traditional Chinese movement therapies: Tai Ji, Ba Duan Jin, Yi Jin Jing, and Wu Qin Xi. Primary outcomes included objective measures of upper limb function, lower limb function, balance function, and activities of daily living. Results: A total of 46 randomized controlled trials involving 3,096 stroke patients were included. Network meta-analysis revealed: (1) Upper limb function: Ba Duan Jin ranked highest (SMD = 1.33, 95% CI = 0.80-1.86). (2) Lower limb function: Ba Duan Jin was the most effective (SMD = 1.49, 95% CI = 0.97-2.01). (3) Balance function: Wu Qin Xi demonstrated the best efficacy (SMD = 1.56, 95% CI = 0.45-2.67). (4) Activities of daily living: Wu Qin Xi was the top-ranked intervention (SMD = 2.34, 95% CI = 0.91-3.76). While Tai Ji and Yi Jin Jing were not the optimal choices, they still exhibited significant therapeutic benefits compared to conventional therapies. Conclusion: Traditional Chinese Medicine mind-body exercises significantly improve limb function and activities of daily living in stroke patients. Ba Duan Jin is recommended for upper and lower limb rehabilitation, while Wu Qin Xi is optimal for activities of daily living restoration and balance recovery. These findings provide clinicians with evidence-based guidance for selecting interventions tailored to specific functional deficits. Systematic review registration: PROSPERO, identifier (CRD42025642353).

Indexed as

activities of daily livinglimb functionnetwork meta-analysisstroketraditional Chinese medicine mind-body exercises

Identifiers

PMID41908282
PMCPMC13021452

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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.