Disease characterization of systemic lupus erythematosus (SLE) patients in Quebec
Bibliographic record
Abstract
Objective Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by an array of organ manifestations that can appear during flares and disappear during remissions. The objectives of this study were: (i) to examine SLE manifestation groups longitudinally in an SLE cohort; and (ii) to assess the association between early antimalarial treatment and renal manifestations. Methods Seven SLE manifestation groups-cutaneous, hematologic, lung, musculoskeletal, neuropsychiatric, serositis, renal-were tracked using Kaplan-Meier survival curves in an incident SLE cohort from Quebec health administrative data ( n = 2010). A subgroup with provincial drug insurance coverage was followed over time to examine the association between early antimalarial treatment (within three months after SLE diagnosis) and renal manifestations using a Cox proportional hazards survival model. Results Cutaneous manifestations was the most common manifestation at SLE diagnosis (30.0%, 95% CI: 27.7-32.2%). About two-thirds (66.2%, 95% CI: 63.4-68.9%) of patients had evidence of at least one SLE manifestation at diagnosis, which increased to 87.2% (95% CI: 84.2-90.3%) by the end of follow-up. After adjusting for age, sex, early concomitant systemic steroid therapy, Charlson comorbidity index, primary care visits in the year prior and other SLE manifestations at baseline, no statistically significant association was established between antimalarial therapy and renal manifestations. Conclusion This study provides insight regarding organ manifestations within a population-based sample. Most patients identified with SLE had other diagnostic evidence that supports an underlying diagnosis of SLE. No protective effects for antimalarial agents against renal manifestations could be established in this population-based cohort.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".