Overall and Cause‐Specific Mortality in Patients With Systemic Lupus Erythematosus: A Meta‐Analysis of Observational Studies
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Bibliographic record
Abstract
OBJECTIVE: To determine the magnitude of risk from all-cause and cause-specific mortality in patients with systemic lupus erythematosus (SLE) compared to the general population through a meta-analysis of observational studies. METHODS: We searched the Medline and Embase databases from their inception to October 2011. Observational studies that met the following criteria were assessed: 1) a prespecified SLE definition; 2) overall and/or cause-specific deaths, including cardiovascular disease (CVD), infections, malignancy, and renal disease; and 3) reported standardized mortality ratios (SMRs) and 95% confidence intervals (95% CIs). We calculated weighted-pooled summary estimates of SMRs (meta-SMRs) for all-cause and cause-specific mortality using the random-effects model and tested for heterogeneity using the I(2) statistic by using Stata/IC statistical software. RESULTS: We identified 12 studies comprising 27,123 patients with SLE (4,993 observed deaths) that met the inclusion criteria. Overall, there was a 3-fold increased risk of death in patients with SLE (meta-SMR 2.98, 95% CI 2.32-3.83) when compared with the general population. The risks of death due to CVD (meta-SMR 2.72, 95% CI 1.83-4.04), infection (meta-SMR 4.98, 95% CI 3.92-6.32), and renal disease (SMR 7.90, 95% CI 5.50-11.00) were significantly increased. Mortality due to malignancy was the only cause-specific entity not increased in SLE (meta-SMR 1.19, 95% CI 0.89-1.59). CONCLUSION: The published data indicated a 3-fold increase in all-cause mortality in patients with SLE compared to the general population. Additionally, all cause-specific mortality rates were increased except for malignancy, with renal disease having the highest mortality risk.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 it