Early symptoms of systemic lupus erythematosus (SLE) recalled by 339 SLE patients
Bibliographic record
Abstract
Objective The European League Against Rheumatism and the American College of Rheumatology jointly embarked on a new classification criteria for systemic lupus erythematosus (SLE) project. Its first phase involved generation of a broad set of items potentially useful for classification of SLE. This study was undertaken to add the patient perspective to an expert Delphi approach and an early patient cohort study. Methods A national cross-sectional study was conducted. A self-report questionnaire was published in the "Schmetterling" (Butterfly), the quarterly journal of the German SLE patient association. Individuals with SLE were asked to anonymously complete the questionnaire, which asked for demographic details, organ manifestations, autoantibodies and symptoms. Results A total of 339 completed questionnaires out of 2498 were returned, a response rate of 13.6%; 83.2% reported they were ANA positive and 81.7% reported joint, 66.1% skin and 33.0% renal involvement. For the time before and in the first year after their SLE diagnosis, the majority reported fatigue (89.4%), joint pain (86.7%), photosensitivity (79.4%) and myalgia (76.1%). Of interest, more than half of the patients reported fever as an early symptom (53.7%). Conclusion For a Caucasian European SLE patient population, the overall characteristics suggest meaningful representation. While many symptoms were reported as expected, the high percentage of patients reporting fever and the significant number of patients with unexpected gastrointestinal complaints are of particular interest. These data add to the information on early SLE symptoms informing the development process of new SLE classification criteria.
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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 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".