Huo Xue Tong Luo capsule, a vasoactive herbal formula prevents progression of asymptomatic osteonecrosis of femoral head: A prospective study
Bibliographic record
Abstract
BACKGROUND/OBJECTIVE: A prospective cohort study aimed to evaluate the clinical efficacy of a specific vasoactive herbal formula, Huo Xue Tong Luo capsule (HXTL capsule), for the treatment of patients with asymptomatic osteonecrosis of femoral head (ONFH). METHODS: We evaluated a clinical trial of 55 patients (59 hips) with asymptomatic ONFH (no joint collapse) evaluated by Steinberg staging system and necrosis range classification criteria. Then, they were given HXTL capsule under specific protocol. Among them, 39 males and 16 females with an average age of 36.4 ± 10.1 years were followed up for an average of 4.38 years during treatment. The aggravation of clinical and imaging results was assessed by initial pain and joint collapse. The clinical and imaging outcomes of these patients were compared with those of a historical control group from the literature under critical inclusion criteria. RESULTS: < 0.001). There was no association between joint collapse and multiple key factors of ONFH. Only the location of type C2 necrotic lesions (hazard ratio, 4.12; 95% confidence interval, 2.64-18.91) and the extent of large necrotic lesions (hazard ratio, 3.39; 95% confidence interval, 1.43-16.21) predicted joint collapse. CONCLUSION: As an agent formulated by vasoactive herbals, HXTL capsule with specific protocol is an effective medicine for relieving hip pain and preventing joint collapse in patients with asymptomatic ONFH. THE TRANSLATIONAL POTENTIAL OF THIS ARTICLE: The translation potential of this prospective cohort study is that the initially officially approved clinical indication for HXTL capsule for treatment of ONFH is due to its possible effect of revascularization on angiogenesis of necrosis. It is has been now proven to be effective for a new clinical application.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".