Evidence map›Paper›PMID 40496125›Full record

SynthesisFrontiers in neurology2025

Effect of three rehabilitation methods combined with transcranial electromagnetic stimulation on post-stroke aphasia: a RCT network meta-analysis.

Xinyu Lin, Haojie Li, Xie Wu, Rui Huang

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. 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

4 authors.

Xinyu Lin *School of Exercise and Health, Shanghai University of Sport, Shanghai, China.
Haojie Li *School of Exercise and Health, Shanghai University of Sport, Shanghai, China.
Xie WuSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.
Rui HuangSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke is a leading cause of death and disability worldwide, particularly in China, where it affects younger populations. Aphasia, a common post-stroke disorder, impairs language skills and occurs in 30-40% of stroke patients. Neuromodulation techniques like transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS) have shown promise in aphasia rehabilitation. Combining these methods with traditional treatments may improve recovery and shorten rehabilitation time. This study examines the effectiveness of these combined therapies in post-stroke aphasia (PSA) to inform clinical practice. Methods: Six databases, including PubMed, Embase, and Web of Science, were systematically searched, and 14 randomized controlled trials (RCTs) with 376 stroke patients were finally included. The outcome indicators were aphasia and quality of life related indicators. Net meta-analysis was performed using Stata 17.0 to assess the relative effectiveness of each combined intervention and to test the consistency of direct and indirect evidence. Results: In this study, a total of 14 randomized controlled trials (RCTs) involving 376 patients with stroke were included. For the primary outcome metrics, SLT was most effective in improving Naming (SMD = 1.09, 95% CI [0.16, 2.02], Conclusion: SLT and CSLT can effectively improve aphasia in stroke patients. It is recommended to prioritize their application in clinical rehabilitation. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42024611829.

Indexed as

aphasiacervical cranial electrical stimulationcombined rehabilitation approachneurological rehabilitationstroke

Identifiers

PMID40496125
PMCPMC12150856

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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.