SynthesisFrontiers in neurology2025
Acupuncture and stroke motor rehabilitation: a decade of evidence synthesis via systematic mapping (2015-2024).
Synthesis in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Clinical and neurophysiological effects of manual acupuncture for upper-limb motor dysfunction after ischemic stroke: a three-arm randomized controlled trial.Frontiers in neurology · 2026Trial
- Acupuncture for post-stroke recovery: a retrospective cohort study on motor function and quality of life.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Acupuncture has shown efficacy in the treatment of post-stroke motor impairment, for which it has newfound renown on the world stage. However, the knowledge base has not yet been reviewed in terms of international clinical trial design. This study systematically reviews the distribution and status of clinical research on acupuncture for treating post-stroke motor dysfunction within the last 10 years. Methods: We conducted a comprehensive search of four Chinese and three English databases from 1 January 2015 to 8 August 2024. We included randomised control trials (RCTs) with a control group. The study participants were diagnosed with post-stroke motor dysfunction according to clear diagnostic criteria regardless of nationality, race, sex, age, disease duration, or condition. The interventions included acupuncture administered alone or in combination with other acupuncture or non-acupuncture interventions. We included studies comparing different acupuncture therapies; acupuncture with sham treatments; acupuncture with other therapies; and compound effects. No restrictions were set on the type of outcome. Data were synthesised and visually analysed using Excel (2003), Office (2009), CiteSpace, SPSS Modeller 18.0, Hiplot, BioRender, and ChiPlot. Scientometric and visualisation analyses of the keywords were performed using CiteSpace. The Apriori algorithm in SPSS Modeller 18.0 was used to conduct an association analysis between acupoints and acupuncture therapies. Risk of bias assessments were performed using Cochrane RoB 2.0. Results: A total of 3,645 RCTs were included in the final review. Most studies were concentrated in China. Significant heterogeneity was observed in participants characteristics, intervention protocols, control groups, and clinical design. The RCTs showed a potentially high risk of bias owing to a lack of concealment methods and/or blinding. Conclusion: This study highlights evidence supporting the applicability of acupuncture as an effective and safe treatment for post-stroke motor dysfunction. The findings provide a useful reference for informing the design of future experimental and clinical studies, as well as guidance for clinical diagnosis and management.
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Registered trials
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.