[Influence of wind, cold and dampness on clinical manifestation of knee osteoarthritis patients based on the stratifications of traditional Chinese medicine constitution].
Bibliographic record
Abstract
OBJECTIVE: To explore influence of external factors of wind, cold and dampness on clinical symptoms in knee osteoarthritis (KOA) patients with different constitutions of traditional Chinese medicine. METHODS: . Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was used to evaluate severity of clinical symptoms. The wind-cold-dampness external factor score was calculated through the questionnaire of wind-cold-dampness syndrome scale to evaluate degree of influence of wind-cold-dampness external factor. Pearson correlation analysis and partial correlation analysis were used to calculate the correlation coefficient between severity of external factors affecting wind, cold and dampness and severity of clinical symptoms in patients with different TCM constitution stratification. RESULTS: =0.007). CONCLUSION: The external factors of wind-cold dampness have different effects on the clinical symptoms of KOA patients with different TCM constitutions. Compared with other constitutions, the rigid symptoms of patients with asthenic biased constitutions are more susceptible to dampness pathogenic factors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.002 | 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".