Disease course patterns in systemic lupus erythematosus
Bibliographic record
Abstract
BACKGROUND: Disease activity in systemic lupus erythematosus follows three different courses: long quiescent, relapsing remitting and persistently active. However, the patterns of disease course since diagnosis are not known. This study aimed to assess the prevalence and characteristics of such patterns over 10 years. PATIENTS AND METHODS: The inception cohort of the Toronto Lupus Clinic (≥10 year follow up, between visit interval ≤18 months) was investigated. Prolonged remission was defined as a clinical Systemic Lupus Erythematosus Disease Activity Index 2000 = 0 achieved within 5 years of enrolment and maintained for ≥10 years. The relapsing-remitting pattern was defined based on ≥2 remission periods (clinical Systemic Lupus Erythematosus Disease Activity Index 2000 = 0 for two consecutive visits). Patients with no remission were categorized as persistently active. Groups were compared for baseline characteristics, cumulative damage, flare rate, mortality and certain co-morbidities. RESULTS: Of 267 patients, 27 (10.1%) achieved prolonged remission, 180 (67.4%) relapsing-remitting and 25 (9.4%) persistently active. In total, 35 (13.1%) had only one remission period (hybrid). At enrollment, there were no differences regarding clinical and immunological variables. At 10 years, persistently active patients had accumulated significantly more damage than the prolonged remission and relapsing-remitting patients. Being of Black race and higher adjusted mean Systemic Lupus Erythematosus Disease Activity Index 2000 over the first 2 years were associated with a more severe disease course. Relapsing-remitting and persistently active patients had an increased flare rate and accrued more osteoporosis, osteonecrosis and cardiovascular events. CONCLUSIONS: Approximately 70% of systemic lupus erythematosus patients followed a relapsing-remitting course, whereas 10% displayed prolonged remission and another 10% a persistently active course. Early response to treatment was associated with a less severe course and better prognosis.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".