This network meta-analysis synthesized data from 34 randomized controlled trials involving patients with stroke to compare various dual-task training modalities. The analysis assessed secondary outcomes including cadence, walking speed, step length, stride, 10-Meter Walk Test, Berg Balance Scale, and Timed Up and Go test. No specific comparator was explicitly defined in the input data, but the analysis identified the most effective intervention relative to others included in the network.
Motor-walking dual-task training was identified as the most effective intervention for improving cadence, with a mean difference of 7.04 (95% CI: 1.95 to 12.12). This same modality showed the greatest improvement for walking speed (standardized mean difference = 0.67; 95% CI: 0.27 to 1.06), step length (standardized mean difference = 0.56; 95% CI: 0.20 to 0.92), and stride (standardized mean difference = 0.76; 95% CI: 0.45 to 1.08). Additionally, it yielded the most effective results for the 10-Meter Walk Test (standardized mean difference = 0.73; 95% CI: 0.05 to 1.12) and the Berg Balance Scale (mean difference = 5.76; 95% CI: 1.38 to 10.14).
For the Timed Up and Go test, cognitive-balance dual-task training showed the greatest improvement, with a mean difference of -4.73 (95% CI: -10.24 to -0.78). Safety, tolerability, adverse events, and discontinuations were not reported in the available data. The certainty of evidence for most outcomes ranged from very low to moderate. These results inform future guidelines and clinical decisions for stroke patients' walking and balance rehabilitation.
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ObjectiveThis study aimed to compare the effects of different dual-task training modalities on walking and balance in stroke patients using network meta-analysis.Data sourcesRandomized controlled trials were searched in PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, and Chinese Biomedical Database from inception to September 2025.Review methodsMethodological quality was assessed using the Cochrane risk-of-bias tool. A frequentist approach was applied for network meta-analysis, and evidence quality was evaluated with confidence in the network meta-analysis framework.ResultsThirty-four trials covering 10 dual-task modalities were included. Network meta-analysis results showed that motor-walking dual-task training was the most effective in improving cadence (mean difference = 7.04, 95%: 1.95 to 12.12), walking speed (standardized mean difference = 0.67, 95%: 0.27 to 1.06), step length (standardized mean difference = 0.56, 95%: 0.20 to 0.92), stride (standardized mean difference = 0.76, 95%: 0.45 to 1.08), 10-Meter Walk Test (standardized mean difference = 0.73, 95%: 0.05 to 1.12) and berg balance scale (mean difference = 5.76, 95%: 1.38 to 10.14). Cognitive-balance dual-task training showed the greatest improvement in Timed Up and Go test (mean difference = -4.73, 95%: -10.24 to -0.78). The certainty of evidence for most outcomes, assessed using the Grading of Recommendations Assessment, Development and Evaluation framework, ranged from very low to high.ConclusionsMotor-walking dual-task training best improved cadence, walking speed, step length, stride, 10-Meter Walk Test, and Berg Balance Scale. Cognitive-balance dual-task training showed the greatest improvement in Timed Up and Go test. These results inform future guidelines and clinical decisions for stroke patients' walking and balance rehabilitation.