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Open Access Original Research Article Issue
Baseline predictors of treatment response to Chinese tuina and manual physical therapy in knee osteoarthritis: a secondary analysis of a randomized controlled trial
Evidence-Based Chinese Medicine and Technology Assessment 2026, 2(2): 9570038
Published: 24 June 2026
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Introduction

Although manual therapy, including traditional Chinese tuina and manual physical therapy, is generally effective for knee osteoarthritis (KOA), individual responses vary considerably. This secondary analysis aimed to identify the quantifiable baseline characteristics that predict treatment response, thereby supporting personalized care.

Methods

Data from a randomized controlled trial comparing tuina and manual physical therapy for KOA were analyzed. At week 4, 59 of 127 patients (46.5%) were responders by Outcome Measures in Rheumatology–Osteoarthritis Research Society International (OMERACT–OARSI) criteria. Candidate variables were screened by univariate analysis (P < 0.25). Multivariate logistic regression identified independent predictors. Internal validation used 1000 bootstrap resamples, with sensitivity analyses including least absolute shrinkage and selection operator (LASSO) and stepwise regression based on Akaike information criterion or Bayesian information criterion.

Results

Univariate analysis identified disease duration, Kellgren-Lawrence grade, prior treatment satisfaction, all Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) subscales, numeric rating scale (NRS) pain score, 12-item short form health survey (SF-12) mental health score, functional tests, and treatment expectations as associated with response (P < 0.25). Multivariate logistic regression revealed two independent predictors: higher baseline WOMAC pain score (odds ratio [OR] = 1.56, 95% confidence interval [CI]: 1.31, 1.87, P < 0.001) and higher baseline SF-12 mental health score (OR = 1.06, 95% CI: 1.01, 1.12, P = 0.023). The model showed good discrimination (apparent area under the curve [AUC] = 0.838). Internal validation yielded an optimism-corrected AUC of 0.763 and Brier score of 0.169. Calibration and decision curve analyses indicated acceptable fit and net benefit.

Conclusion

Patients with more severe baseline pain and better mental health are more likely to respond favorably to either tuina or manual physical therapy. These findings bridge pain and mental health as predictors, providing evidence for precision manual therapy in KOA; external validation in larger cohorts is required.

Registration:

This study was registered with ClinicalTrials.gov (https://clinicaltrials.gov/, NCT03966248).

Open Access Issue
Implementation strategies and optimization paths of process evaluation in acupuncture clinical trials
Acupuncture Research 2025, 50(12): 1463-1472
Published: 24 November 2025
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The root cause of the lagging evidence level in clinical trials of acupuncture lies in the complex system characteristics of acupuncture intervention. Process evaluation can solve the above difficulties through systematically monitoring the implemention of fidelity, verifying causal mechanism, analyzing situational factors and other approaches. In view of the complexity of operation, this study proposes a framework for process evaluation, i.e., constructing “fidelity index” can enable quantitative measurement of differences in technical schools, and can develop “total stimulus dose” to standardize intervention dosage;using “capability matrix” can model the dynamic interaction between clinicians and patients, so as to cope with the uncertainty, and applying “therapeutic alliance scale” to capture the variation of human factors;for background effect visualization, a “resource heatmap” can be created to integrate macro-variables such as medical insurance policy coverage and cultural acceptance;and using the “latent category growth model” can identify heterogeneous trajectories and establish a closed loop of monitoring, optimization and feedback in terms of dynamic tracking of efficacy. By the fidelity index, capability matrix, resource heatmap, and dynamic trajectory model, this framework can transform the abstract complexity into the intervention target, which can significantly improve the validity and extensibility of the experiment. Process evaluation can drive the leap from empirical inheritance to evidence-based medicine in acupuncture research, which will not only provide methodological support for the modernization of traditional medicine, but also can enhance the internationalization trend of acupuncture by optimizing localization adaptation strategies and policy evidence transformation paths.

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