Sm antibodies increase risk of death in systemic lupus erythematosus
Bibliographic record
Abstract
The importance of ethnicity, socioeconomic status (SES), and autoantibodies as prognostic indicators in lupus were evaluated in a Canadian cohort. A retrospective review of 330 lupus patients identified demographic features including age and self reported ethnicity, SES, lupus features, antibodies to extractable nuclear antigens (ENAs), organ damage (SDI score), and mortality. ENA (Sm, RNP, Ro, La) associations with lupus features, predictors of final visit SDI score and the contributions of ethnicity, autoantibodies and SES on overall mortality were determined. Three ethnic groups [Caucasians (C), Asian-Orientals (AO), Native American First Nations (FN)] differed in disease severity and SES. FN and AO patients had similarly severe lupus, developing lupus at an earlier age, with more renal and neurological involvement, greater SDI scores at last visit, and more frequently had Sm or RNP antibodies than C. FN had the highest mortality and lowest SES. Sm and RNP antibodies were associated with renal and neurologic involvement. RNP, education and duration of follow-up predicted SDI score. Sm increased risk of death. In conclusion, RNP and lower SES are associated with lupus related organ damage and the presence of Sm is a predictor of mortality in lupus, independent of ethnicity, renal involvement or socioeconomic status.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".