Long‐term outcome of early neuropsychiatric events due to active disease in systemic lupus erythematosus
Bibliographic record
Abstract
OBJECTIVE: Neuropsychiatric (NP) manifestations attributable to active disease affect up to 30% of individuals with systemic lupus erythematosus (SLE). The short-term impact of NP events includes increased organ damage, fatigue, and mortality, and lower health-related quality of life. We investigated the impact of NP events attributable to active SLE at presentation on long-term disease activity, organ damage, and health-related quality of life. METHODS: Seventy-two NP cases and 144 matched controls from the University of Toronto Lupus Cohort, enrolled between 1970 and 2005, were included in the study. NP cases had at least 1 NP event attributable to active SLE at the first clinic visit. Controls did not have NP events at the first clinic visit and were matched to cases on age, sex, disease duration, and decade. Paired case-control analyses were performed on measures of disease activity (Systemic Lupus Erythematosus Disease Activity Index 2000), disease damage (Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index), and health-related quality of life (Short Form 36) at 1 year, 3 years, and 5 years after the first clinic visit. RESULTS: NP cases showed greater disease activity than controls at the first clinic visit (P < 0.0001) and greater cumulative organ damage at 1-year followup (P = 0.01). No statistically significant differences were found on 3-year or 5-year outcomes. Mean scores showed a decreasing trend of disease activity, increasing organ damage, and persistently low quality of life for both cases and controls. CONCLUSION: This study shows that early NP events due to active SLE are not major contributors to long-term disease activity, accumulation of damage, or health-related quality of life. The long-term prognosis and patterns of disease in SLE patients with early NP events are similar to those of SLE patients without these events.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".