Patient‐reported outcomes one year after primary hip replacement in a European Collaborative Cohort
Bibliographic record
Abstract
OBJECTIVE: To identify whether patients have symptomatic improvement 12 months following total hip replacement (THR) surgery. METHODS: The European Collaborative Database of Cost and Practice Patterns of Total Hip Replacement study consists of 1,327 patients receiving primary THR for osteoarthritis (OA) across 20 European orthopedic centers. The primary outcome was the difference in Western Ontario and McMaster Universities OA Index (WOMAC) score between preoperative and 12-month postoperative measurements. To classify whether patients responded to THR at 12 months, we used return to normal, Outcome Measures in Rheumatology Clinical Trials (OMERACT)-OA Research Society International (OARSI) criteria, minimum important difference (MID), and minimum clinically important difference. Exposures were age, sex, obesity, employment, educational attainment, American Society of Anesthesiologists status, and radiographs. RESULTS: On average, there was a large improvement in WOMAC scores 12 months after surgery, but whereas some patients improved, others got worse. The OMERACT-OARSI method classified 85.7% of patients as responders, MID 70.1%, and return to normal 64.1%. In general, each approach classified the same groups of patients as responding to THR. Based on total WOMAC score, patients who were younger, morbidly obese, employed, and better educated were more likely to respond to THR, but the effects were attenuated after adjustment for confounding, with only the effect of education remaining important. CONCLUSION: The overall average response to THR was good, but approximately 14-36% of patients did not improve, or were worse, 12 months postsurgery. Although the OMERACT-OARSI criteria were originally designed for use in clinical drug trials, they performed well in classifying patient response 12 months post-THR. Further research is required to understand the determinants of patient outcomes following THR.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".