Gender and ethnic origin have no effect on long-term outcome of childhood-onset systemic lupus erythematosus.
Why this work is in the frame
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Bibliographic record
Abstract
Abstract \nOBJECTIVE: \n \nTo investigate the associations of gender and ethnic origin with longterm outcome in childhood-onset systemic lupus erythematosus (SLE). \nMETHODS: \n \nThe study cohort consisted of 51 patients (13 males and 38 females) with childhood-onset SLE followed for > or = 5 years at the British Columbia Children's Hospital in Vancouver. Fifteen patients were Caucasian, 14 Chinese, 9 East Indian, and 13 patients were of other ethnic backgrounds: none was African-American or Hispanic. Outcome measures assessed retrospectively included Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index score (SDI), SLE-related death, need for dialysis or renal transplantation, and use of intensive immunosuppressive therapy. A SDI > or = 2 was assigned as poor outcome. \nRESULTS: \n \nThe median age at diagnosis was 10.8 years and the median duration of followup was 7.2 years. Five-year survival was 100%; 10-year survival was 85.7% (12/14 patients). The median SDI score at last followup was 2.0 (range 0-9); 2.0 for male, 1.5 for female; 2.0 for Caucasian and 2.03 for non-Caucasian patients. Twenty-six out of 51 patients (51%) had poor outcome (SDI score > 2). Three female patients required dialysis: 2 had subsequent renal transplants. Thirty patients received intensive immunosuppressive therapy. The SDI scores, mortality, and need for intensive immunosuppressive therapy were not influenced by either gender or ethnic origin. \nCONCLUSION: \n \nThe median SDI score was high for this cohort with childhood-onset SLE. In contrast to other published data, no association of male gender and/or non-Caucasian ethnicity with poor outcome was found in our study cohort.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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