Indications for hip and knee replacement in Sweden
Bibliographic record
Abstract
OBJECTIVES: The aim of this paper was to compare selected indication parameters for patients scheduled for hip and knee replacement at orthopaedic units in Sweden. METHODS: Swedish orthopaedic clinics performing joint replacement were invited to enroll in the study. The study time was set to 2 years (from June 2006 to June 2008). The study subjects were patients undergoing hip or knee replacement for osteoarthritis (OA). For data collection, we used a Swedish priority criteria tool based on a translation from a form used in Canada with minor changes. The reliability and validity of the Swedish tool were investigated, with good reproducibility. The questionnaires (one for the doctor and one for the patient) were completed during decision making for surgery. RESULTS: Eleven hospitals enrolled in the study. In total, 2961 patients were included during the study period. Among these, 1662 were hip replacement patients and 1299 were knee replacement patients. The vast majority of patients undergoing hip or knee replacement had findings indicating severe OA, both clinically and radiologically according to the clinical priority tool. Statistically significant self-reported problems with pain at rest, walking and impaired activities of daily living were also observed. There were statistically significant differences in reported indications between the hospitals, both for hip OA patients and for knee OA patients. CONCLUSIONS: A clinical priority criteria tool is a useful means of following changes in indications for certain procedures. It could also contribute to explaining differences in case mix when evaluating clinical outcome and patient satisfaction.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".