Outcomes of symptomatic osteonecrosis in 95 patients with systemic lupus erythematosus.
Bibliographic record
Abstract
OBJECTIVE: To describe the frequency and type of symptomatic osteonecrosis (ON) in a large cohort of patients with systemic lupus erythematosus (SLE) followed in a single center and to describe the outcome in terms of mortality and disability compared to SLE patients without ON. METHODS: Patients with ON were identified from the University of Toronto Lupus Clinic Database. The diagnosis of ON was confirmed by radiographs, bone scans, tomograms, or magnetic resonance images. A comparison group of patients with SLE without ON was selected from the same database, matched by year of birth, sex, and year of entry to the clinic. Mortality, disability, and health related quality of life were compared between patients with and without ON. RESULTS: Ninety-nine patients with ON were identified with 217 affected joints, the majority hips and knees, often in a bilateral distribution. There was no increase in mortality. Patients with ON had higher Health Assessment Questionnaire scores and lower SF-20 scores of physical functioning, suggesting increased disability. Hip joints that underwent surgery were more likely to have higher grades of ON at diagnosis. CONCLUSION: Symptomatic ON occurred in 12.8% of 744 patients with SLE and often involved multiple joints. ON was not associated with increased mortality but was associated with physical disability. Radiological class of the hip jointsat diagnosis of ON was predictive of subsequent surgery.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".