Changing Patterns in Mortality and Disease Outcomes for Patients with Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: Survival of patients with systemic lupus erythematosus (SLE) has improved significantly, but new morbidities have emerged, leading to altered patterns of outcome in this disease. We examined changes in mortality and other outcomes over time in a large SLE cohort. METHODS: A group of 1241 patients from the University of Toronto Lupus Clinic followed prospectively were divided into 4 entry cohorts - 1: 1970-1978, 2: 1979-1987, 3: 1988-1996, 4: 1997-2005. These cohorts were followed through four 9-year calendar periods defined over the same intervals. Both cohort and calendar effects were assessed for the following outcomes: mortality (standardized mortality ratio; SMR), disease activity over time (adjusted mean SLEDAI; AMS), cumulative damage (Systemic Lupus International Collaborating Clinics Damage Index; SDI), coronary artery disease (CAD), and osteonecrosis (ON). Cox regression models were used to further investigate mortality and the influence on it of the disease-related factors. RESULTS: Over the 36-year period of the study, 211 deaths occurred. The overall SMR in the first and last decades were 12.60 (95% CI: 9.13, 17.39) and 3.46 (95% CI: 2.71, 4.40) respectively. When SMR were stratified by the entry cohort and calendar period, there is evidence of a calendar-period effect but no cohort effect. The AMS decreased over the decades, while SDI, CAD, and ON increased. There were significant detrimental effects for male sex, CAD, AMS, SDI, and use of immunosuppressive drugs and significant protective effects for use of antimalarials and the effect of calendar period on mortality. CONCLUSION: Our study demonstrates improved survival in patients with SLE over a 36-year period. Disease-related variables included in the model are important factors for mortality in this SLE cohort, but could not completely explain the trend of improved survival over calendar period observed.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".