Changes in Quality of Life in the First 5 Years of Disease in a Multicenter Cohort of Patients With Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: The Medical Outcomes Study Short Form 36 (SF-36) is recommended to assess quality of life (QOL) in systemic lupus erythematosus (SLE). The aim of the current study was to assess QOL over time in the first 5 years of a multicenter inception cohort of patients with SLE. METHODS: An inception SLE cohort was assembled according to a standardized protocol between 2000 and 2012. In addition to clinical and laboratory assessments, patients completed the SF-36 at yearly intervals. Only patients who had ≥5 completed QOL questionnaires were included in these analyses. Generalized estimating equation models were run separately for each of the 8 subscales and for the physical and mental component summary scores, adjusting for repeated measures by patients. RESULTS: A total of 495 patients were included. The mean ± SD disease duration at the first visit was 5.3 ± 4.1 months. The mean ± SD age at enrollment was 35.8 ± 13.2 years. All 8 subscales and the 2 summary scores showed improvement in the first 2 years from enrollment. Between years 2 and 5, none of the subscales or summary scores showed any change. Minimum clinically important improvement was achieved by 35-56% of the patients and was influenced by demographic and disease factors. CONCLUSION: Unlike late-stage lupus, where QOL is stable over time, in patients with early disease, all subscales improve in early followup up to 2 years. Therefore, the SF-36 may be a sensitive outcome measure in early disease in patients with SLE.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".