Predictive factors for symptomatic osteonecrosis in patients with systemic lupus erythematosus.
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To analyze predictive factors for the development of osteonecrosis (ON) in a large cohort of patients with systemic lupus erythematosus (SLE) followed in a single center. METHODS: A nested matched case control design was used. Patients with SLE who developed ON during followup were identified from the University of Toronto Lupus Clinic database. The diagnosis of ON was confirmed by either radiographs, bone scans, tomograms, or magnetic resonance imaging. 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 to the patients with ON. Clinical, laboratory, and therapeutic factors thought to be relevant to the development of ON were compared between the 2 groups. RESULTS: Seventy patients with SLE developed ON in the course of followup at the clinic. In univariate analysis, arthritis was the only clinical feature predictive of the development of ON. Use of glucocorticosteroid therapy, dose and duration, as well as Cushingoid appearance and cytotoxic therapy were also predictive for the development of ON. Multivariate analysis revealed that glucocorticosteroid use, the presence of arthritis, and the use of cytotoxic medications remained significant. CONCLUSION: Glucocorticosteroid therapy, the presence of arthritis, and use of cytotoxic medication are independent risk factors for development of ON in patients with SLE.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it