Evidence map›Paper›PMID 41816189›Full record

ArticleEClinicalMedicine2026

Optimal exercise modalities for enhancing motor function recovery after stroke: a Bayesian systematic review with pairwise and network meta-analyses.

Liqun Jiang, Huimin Ding, Hyun Seo, Buongo Chun

Abstract read
In one paragraph

Article in EClinicalMedicine, 2026. 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. Review
  2. 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

4 authors.

Liqun JiangGraduate School of Physical Education, Myongji University, Yongin, 17058, Republic of Korea.
Huimin DingGraduate School of Physical Education, Myongji University, Yongin, 17058, Republic of Korea.
Hyun SeoDepartment of Sport and Leisure Studies, Graduate School, Korea University, Sejong, 02841, Republic of Korea.
Buongo ChunGraduate School of Physical Education, Myongji University, Yongin, 17058, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to compare the effectiveness of different exercise interventions in improving motor function recovery after stroke and to identify optimal rehabilitation strategies. Methods: A comprehensive search of five databases was conducted for randomized controlled trials (RCTs) up to March 13, 2025. Primary outcomes included the 6-min walk test (6MWT), 10-m walk test (10MWT), Berg Balance Scale (BBS), and FMA (total, UE, LE). Pairwise and Bayesian network meta-analyses were performed to compare the relative effects of different exercise modalities. Risk of bias was assessed using the RoB 2 tool, and evidence certainty was rated using CINeMA. This systematic review was prospectively registered in PROSPERO (CRD420251091242). Findings: A total of 317 RCTs involving 14,464 stroke patients were included. Network meta-analysis showed that, compared with routine care, electrical stimulation plus exercise (ESX) was associated with the largest improvement in walking endurance (MD = 53.4 m, 95% CI 14.27-92.58, p < 0.05, I Interpretation: Several structured exercise interventions were associated with improved motor outcomes after stroke. High heterogeneity was observed in some comparisons; however, meta-regression analyses suggested several potential sources of variability, and global network assessments indicated generally acceptable heterogeneity. These findings should therefore be interpreted cautiously, particularly for outcomes with substantial between-study variation. Funding: This study received no specific funding.

Indexed as

Balance performanceExercise interventionGait speedMotor function recoveryNetwork meta-analysisStrokeWalking endurance

Identifiers

PMID41816189
PMCPMC12972736

What Socratic holds

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LicenceCC BY
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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 Socratic graph.