Evidence map›Paper›PMID 42810790›Full record

ArticleBMJ open2026

Effectiveness of non-pharmacological therapies for poststroke aphasia: a protocol of a systematic review and network meta-analysis.

Mengjiao Huang, Xinrui Huang, Feilin Ni, Luyi Huang, Xiaoye Shen

Abstract read
In one paragraph

Article in BMJ open, 2026. 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

5 authors.

Mengjiao HuangHospital of Zhejiang People's Armed Police, Hangzhou, People's Republic of China.
Xinrui HuangNursing, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China Alina3h@163.com.ORCID http://orcid.org/0000-0001-8615-5537
Feilin NiThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Luyi HuangThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xiaoye ShenThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPoststroke aphasia is a common disabling complication following stroke, severely affecting patients' communication abilities and quality of life. Currently, various non-pharmacological therapies (eg, speech and language therapy, transcranial magnetic stimulation, computer-assisted therapy, etc) have been applied in clinical practice and show potential. However, the relative effectiveness and superiority among these interventions remain unclear. This study aims to systematically compare the effectiveness of different non-pharmacological therapies in improving language function in poststroke aphasia through a network meta-analysis and to rank their efficacy, thereby providing the best evidence for clinical decision-making. METHODS AND ANALYSIS: The protocol will be reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) guidelines. The subsequent completed systematic review and network meta-analysis will be reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for network meta-analyses (an extension of the PRISMA 2020 statement) guidelines. We will systematically search PubMed, EMBASE, Cochrane Central Register of Controlled Trials, Web of Science and China National Knowledge Infrastructure for randomised controlled trials on non-pharmacological therapies for poststroke aphasia published from inception to March 2026. Two researchers will independently conduct literature screening, data extraction and risk of bias (RoB) assessment using the Cochrane RoB tool. The primary outcome is overall language function; secondary outcomes include specific language domains and quality of life. We will employ a frequentist framework for network meta-analysis using random-effects models. The node-splitting model will assess inconsistency, and surface under the cumulative ranking curve will evaluate treatment ranking probabilities. ETHICS AND DISSEMINATION: As this review will use only published aggregated data, ethical approval is not required. Findings will be disseminated through a peer-reviewed publication and presentations at relevant conferences. PROSPERO REGISTRATION NUMBER: CRD420261297981.

Indexed as

AphasiaStrokeStroke RehabilitationHumansLanguage TherapyNetwork Meta-Analysis as TopicQuality of LifeResearch DesignSpeech TherapySystematic Reviews as TopicTranscranial Magnetic StimulationCerebral HemorrhageNursing CareREHABILITATION MEDICINEStroke medicine

Identifiers

PMID42810790
PMCPMC13630070

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.