PILS1353^50S(97)00041-0 Determinants of 6-12 Month Postoperative Functional Status and Pain After Elective Total
Bibliographic record
Abstract
Objective. The goal of this pilot project was to quantify outcomes of elective total hip replacement through risk adjust-ment modeling. Design: A retrospective cohort study of patients who underwent elective total hip replacement (THR) during 1991 at the Orthopaedic and Arthritic Hospital in Toronto. Study participant * AD patients undergoing elective total hip replacement with a confirmed diagnosis of osteoarthritis were asked to participate in the study; 193 patients agreed. Outcome measures: Participants were asked to complete the WOMAC Osteoarthritis Index and the RAND 36-ftem Health Survey 6 months to 1 year post-operatively. Pre-operative infor-mation on pain and functional status was obtained from the patients ' medical record. Resuttr. The results indicate that 93 % of patients studied reported at least one significant co-morbidity. The mean pre-operative pain score was 7.5 on a 0-10 scale and average change in pain was 4.8. Regression analyses indicate that increased body mass index is associated with lower post-operative functional status and increased post-operative pain. The amount of pain relief the patient was able to obtain pre-operatfvely using non-surgical interventions was associated with a better outcome. ©
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.183 | 0.032 |
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".