Influence of Psychological Stress on Headache in Patients with Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: To compare the prevalence and disability of headache in patients with systemic lupus erythematosus (SLE) with the general population and to assess the role of chronic psychological stress (CPS) in headache development. METHODS: One hundred seventy patients with SLE and 102 control subjects matched for age, sex, and level of education were included in this multicenter, cross-sectional study. CPS, headache-related disability, and chronic analgesic intake (CAI) were evaluated in all participants. RESULTS: No statistical differences in the prevalence of headache between both groups were observed but headache disability was significantly higher in patients with SLE. In addition, a higher average score in the Cohen Perceived Stress Scale (CPSS) and a higher prevalence of patients with CAI were observed in patients with SLE. In multivariate analysis, CPSS score was positively (OR 1.09; 95% CI: 1.03-1.14; p = 0.001) and CAI negatively (OR 0.43; 95% CI: 0.19-0.99; p = 0.049) associated with headache in patients with SLE. CONCLUSION: Despite the prevalence of headache in patients with SLE and the general population being similar, headache-related disability may be higher in patients with SLE. Moreover, CPS might play a role in the pathogenesis of SLE headache, whereas CAI might have a protective effect against it.
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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 | 0.003 |
| 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 | 0.000 | 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".