ReviewJournal of pain research2025
Tuina Combined with Other Treatment Methods for Scapulohumeral Periarthritis (Frozen Shoulder): Bayesian Network Meta-Analysis.
Review in Journal of pain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Progress in the Treatment of Adhesive Capsulitis with External Therapies of Traditional Chinese Medicine: A Comprehensive Review.Journal of pain research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Frozen Shoulder (FS), a debilitating stage of scapulohumeral periarthritis (SP), significantly impairs daily life and working capacity. Compared with pharmacological treatments and surgical interventions, Tuina offers the advantages of being non-invasive and safe. Although substantial clinical evidence supports the efficacy of Tuina in treating FS, most studies involve its combination with other therapeutic modalities. The effectiveness and safety of various Tuina combinations remain unclear. Therefore, a network meta-analysis is warranted to provide a more comprehensive evidence-based foundation for clinical decision-making. Methods: Randomized controlled trials (RCTs) investigating Tuina for Frozen Shoulder were systematically retrieved from PubMed, Web of Science, Embase, Cochrane Library, CNKI, VIP, Wanfang, and SinoMed. The search was conducted up to May 20, 2025. Data analysis was performed using R 4.2.0 and Stata 16.0. Results: A total of 23 RCTs involving 11 intervention measures were included. Network meta-analysis results indicated that the effective rates of Tuina combined with Acupotomy, Tuina combined with external application of traditional Chinese medicine, Tuina combined with acupuncture, and Tuina combined with Leverspin Technique were significantly higher than those of Tuina alone (P < 0.05). The top three rankings based on Surface Under the Cumulative Ranking Area (SUCRA) were as follows: Tuina combined with Leverspin Technique (0.81), Tuina combined with acupuncture (0.75), and Tuina combined with Acupotomy (0.64). Regarding Visual Analog Scale (VAS) scores, Tuina combined with Acupotomy demonstrated superior efficacy compared to Tuina alone (P < 0.05). The top three SUCRA rankings for VAS were: Tuina combined with Acupotomy (0.70), Tuina combined with Fu's subcutaneous needling (0.66), and Tuina combined with acupuncture (0.65). Considering all factors, Tuina combined with acupuncture and Tuina combined with Acupotomy are the optimal intervention strategies for scapulohumeral periarthritis (Frozen Shoulder). Conclusion: Based on the available evidence, Tuina combined with acupuncture and Tuina combined with Acupotomy represent the most effective interventions for scapulohumeral periarthritis (Frozen Shoulder). However, there is the possibility of heterogeneity and publication bias.further high-quality research is required to validate and refine these conclusions.
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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.