WOMAC Meaningful Within-patient Change: Results From 3 Studies of Tanezumab in Patients With Moderate-to-severe Osteoarthritis of the Hip or Knee
Bibliographic record
Abstract
OBJECTIVE: To define meaningful within-patient change (MWPC) in the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). METHODS: Data were analyzed separately from 3 phase III clinical trials (ClinicalTrials.gov: NCT02697773, NCT02709486, NCT02528188) of tanezumab, a novel treatment intended for the relief of signs and symptoms of moderate-to-severe osteoarthritis (OA), administered subcutaneously every 8 weeks. Patients with moderate-to-severe OA of the hip or knee completed the WOMAC and patient global assessment of OA (PGA-OA) at regular timepoints. A repeated measures longitudinal model with change in WOMAC Pain, Physical Function, or Stiffness domain score as the outcome and change in PGA-OA as the anchor was used to establish MWPC for WOMAC domains. RESULTS: In the 3 studies, there were 688, 844, and 2948 subjects available for analyses, respectively. Analysis showed that a linear relationship between changes in WOMAC domains and changes in PGA-OA was supported and justified. Moreover, the relationships between these changes were very similar for 2 trials and close for the third. The estimated MWPC for the 3 WOMAC domains were from 0.84-1.16 (0-10 numerical rating scale) and from 12.50-16.23%, depending on study and domain, that corresponded to a 1-category change on PGA-OA. For a 2-category change those values were from 1.68-2.31 and from 25.01-32.46%, respectively. CONCLUSION: These results establish MWPCs for WOMAC domains, at the individual patient level, for patients with moderate-to-severe OA of the hip or knee. [ClinicalTrials.gov: NCT02697773, NCT02709486, and NCT02528188].
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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 | 0.034 | 0.047 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.009 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".