Effects of the efficacy of the Yi Shen Tiao Gan formula on aromatase inhibitor associated musculoskeletal syndrome: a randomized controlled trial
Bibliographic record
Abstract
Background: Aromatase inhibitor-induced musculoskeletal syndrome (AIMSS) has emerged as a major cause of treatment discontinuation in hormone receptor-positive patients treated with aromatase inhibitors. There are currently no standardized guidelines or universally accepted treatments for AIMSS. Therefore, this exploratory study aimed to preliminarily evaluate the efficacy and safety of Yi Shen Tiao Gan formula in AIMSS patients. Methods: A total of 136 patients with AIMSS were included in this single-center, randomized, controlled, single-blind trial and were randomised into the treatment and control groups at a ratio of 1:1. All patients were routinely given Caltrate D. Patients in the treatment group took Breast surgery formula combined with Yi Shen Tiao Gan formula and control group took Breast surgery formula twice a day. The treatment period of Chinese medicine was 3 months as one course of treatment. The clinical efficacy of two courses of treatment was observed in this study. The study observed and compared the following indicators between the two groups: the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores, Traditional Chinese Medicine symptom and sign scores, bone mineral density, bone metabolism biochemical indicators, bone metabolism-related hormones and safety assessments. Results: > 0.05), but the decrease in β-CTX was slightly slower in the treatment group of the AI + OFS population compared to the control group. After applying Bonferroni correction for multiple testing, these associations did not reach statistical significance. No serious adverse events were observed in either group. Conclusion: The YSTG formula significantly reduced WOMAC scores, improving pain, stiffness, physical function in patients with AIMSS, and alleviating the traditional Chinese medicine symptoms and signs of liver and kidney deficiency, thereby enhancing the overall quality of life for patients. Clinical Trial Registration: http://www.chictr.org.cn, identifer ChiCTR2200057785.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".