Ethnic variation in disease patterns and health outcomes in systemic lupus erythematosus.
Bibliographic record
Abstract
OBJECTIVE: In a single-center multiethnic lupus cohort, to investigate the influence of ethnicity on the prevalence of cumulative renal and central nervous system (CNS) lupus disease and damage, overall end-organ damage, and mortality. METHODS: Clinical features, end-organ damage, and mortality were compared by ethnic origin among patients at a lupus clinic followed prospectively in a longitudinal design over a 32-year period. Statistical analysis to compare demographic features, cumulative disease manifestations, and damage included chi-square test as well as linear, logistic, and Poisson regressions adjusting for disease duration, age at diagnosis, and presence of dialysis and hypertension. Kaplan-Meier and proportional hazard analyses were performed to compare survival. RESULTS: There were a total of 1017 patients: 853 Caucasian, 88 African-Canadian, and 76 Chinese-Canadian. Age at diagnosis was younger and disease duration was shorter for Chinese-Canadians compared to Caucasians, but similar between African-Canadians and Caucasians. There was no significant difference in CNS disease, comparing Caucasians to Chinese-Canadians. However, CNS disease was greater in African-Canadians than Chinese-Canadians. There was no significant difference between ethnic groups in CNS damage. Renal disease was more common in African-Canadians than Caucasians, with no significant difference between Caucasian and Chinese-Canadian patients. Renal damage was more common in African-Canadians and Chinese-Canadians than Caucasians. There was no significant difference in mortality among the 3 ethnic groups. CONCLUSION: In this single referral center cohort study, there was no significant difference in CNS damage or mortality among the 3 ethnic groups. African-Canadians had a higher prevalence of renal disease and damage. Further investigation into other determinants such as genetic predisposition, treatment, and cultural perceptions is needed.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 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".