Living with lupus: a prospective pan-Canadian study.
Bibliographic record
Abstract
OBJECTIVE: To portray life with lupus for women affected by this disease and to identify predictors of fatigue, a common symptom that compromises patients' quality of life. METHODS: A sample of 120 female patients (mean age 42.5 yrs) with systemic lupus erythematosus (SLE) from 9 rheumatology clinics across Canada were followed prospectively for 15 months. Assessments of psychosocial functioning took place at baseline, and at 3, 9, and 15 months. Physician examinations were conducted at baseline and 15 months. RESULTS: Significant time effects were found for: global psychological distress (p < 0.001), stress (p < 0.01), emotion-oriented coping (p < 0.001), physical health status (p < 0.001), and fatigue (p < 0.001), indicating that patients improved from baseline to 15 months. Disease activity worsened for 40.3%, improved for 50.8%, and remained the same for 8.8% of the patients from baseline to 15 months. Controlling for baseline disease activity and fatigue, and considering sleep problems, decreases in stress and depression predicted less fatigue at 15 months (p < 0.001; adjusted R2 = 0.43). CONCLUSION: Despite fluctuations in disease activity, patients with SLE, as a group, cope adequately with their disease over time. There is, nonetheless, a subset of patients (about 40%) who remain distressed and who may benefit from psychosocial interventions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".