Evaluation of the Efficacy of the Traditional Chinese Medicine Formulation Ru-Yi-Jin-Huang-Saan on Colles Fracture After Surgery: Protocol for a Randomized, Double-Blind, Placebo-Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Colles fracture, a common wrist injury, often requires surgical intervention. After surgery, patients may experience persistent pain and reduced wrist function, potentially resulting in long-term disability. In clinical practice, traditional Chinese medicine practitioners frequently use Ru-Yi-Jin-Huang-Saan (RYJHS) to treat such patients in Taiwan. RYJHS is a traditional Chinese herbal formula with a history spanning centuries, primarily used topically for the treatment of bone fractures and the promotion of healing. However, there is currently a lack of substantial clinical evidence supporting its efficacy in the management of postsurgical Colles fractures. To the best of our knowledge, there are no studies evaluating the clinical effectiveness of RYJHS. OBJECTIVE: This study aims to investigate the therapeutic potential of RYJHS in postsurgical Colles fracture cases. An additional objective is to provide an alternative treatment option for postoperative patients unable to take anti-inflammatory and pain relief medications. METHODS: This is a protocol for a randomized, double-blind, placebo-controlled trial. A total of 100 postoperative patients with Colles fracture, aged 20-80 years, will be recruited for this study. They will be randomly assigned to either the experimental or control group in a 1:1 allocation ratio. Both groups will receive standard postoperative Colles fracture treatment. The primary outcome measure will assess wrist functional recovery using the Patient-Rated Wrist Evaluation score. Secondary outcomes will include C-reactive protein levels and ultrasound measurements of wrist swelling. All of these examinations will be assessed at baseline, 3 days after surgery, and 6 days after surgery. In addition, the Dyshidrotic Eczema Area and Severity Index will be used to monitor for adverse skin reactions. RESULTS: This protocol was registered at ClinicalTrials.gov on December 6, 2022. It was performed in accordance with the approved guidelines and regulations of the participating institutions. Recruitment began in May 2023, with data collection expected to conclude in May 2025. Study completion is expected in December 2025. CONCLUSIONS: This is the first protocol discussing the assessment of the therapeutic efficacy and safety of topical traditional Chinese medicine in patients after fracture surgery. The protocol will establish an integrated care model combining both traditional Chinese medicine and Western medicine for postsurgical fracture cases. TRIAL REGISTRATION: ClinicalTrials.gov NCT05638360; https://clinicaltrials.gov/ct2/show/NCT05638360. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56849.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.020 |
| Meta-epidemiology (narrow) | 0.007 | 0.003 |
| Meta-epidemiology (broad) | 0.014 | 0.005 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.009 | 0.007 |
| Insufficient payload (model declined to judge) | 0.041 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".