SynthesisMedicine2026
Impact of acupuncture on lower limb motor function recovery after stroke: A systematic review and meta-analysis.
Synthesis in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundLower-extremity motor impairment after stroke is a major determinant of mobility limitation and persistent disability. Acupuncture is frequently used as an adjunct to conventional rehabilitation, but the magnitude and consistency of its effects on lower-limb recovery remain uncertain.
methodsThis systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. PubMed, Embase, Web of Science, and the Cochrane Library were searched from inception to December 31, 2025, without language restrictions. Randomized controlled trials evaluating needle-based acupuncture for poststroke lower-limb recovery were included. Risk of bias was assessed using the Cochrane Risk of Bias tool for randomized trials version 2.0, and the certainty of evidence for the main outcomes was evaluated using the Grading of Recommendations Assessment, Development and Evaluation approach. Meta-analyses were conducted in Stata 18.0 using random-effects models, and treatment effects for continuous outcomes were pooled as standardized mean differences (SMDs) with Hedges g correction and 95% confidence intervals (CIs). Because fewer than 10 studies contributed to each outcome, formal funnel-plot asymmetry tests, including Egger test, were not performed; publication bias was considered qualitatively.
resultsSix trials met the inclusion criteria. Acupuncture was associated with improved lower-extremity motor function, as measured by the Fugl-Meyer Assessment Lower Extremity (SMD = 0.51, 95% CI = 0.32-0.71; I2 = 53.9%; low certainty). Balance assessed by the Berg Balance Scale also favored acupuncture but showed substantial heterogeneity (SMD = 0.96, 95% CI = 0.35-1.56; I2 = 91.5%; very low certainty). The Modified Barthel Index did not demonstrate a statistically significant benefit (SMD = 0.26, 95% CI = 0.16-0.68; I2 = 86.3%; very low certainty). The high heterogeneity for Berg Balance Scale and Modified Barthel Index indicates that these pooled estimates should be interpreted cautiously.
conclusionAcupuncture may provide low-certainty incremental improvements in poststroke lower-extremity motor impairment. Evidence for balance and activities of daily living remains very uncertain because of substantial heterogeneity, limited sample size, and variability in acupuncture protocols and control conditions. Larger, prospectively registered, methodologically rigorous trials with standardized protocols, comparable rehabilitation dose, and clinically interpretable outcome reporting are needed.
Indexed as
Identifiers
What OpenQuestion holds
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.