Prevalence and clinical correlates of pruritus in patients with systemic sclerosis
Bibliographic record
Abstract
OBJECTIVE: There are no studies of pruritus prevalence or clinical correlates in systemic sclerosis (SSc). The objectives of this study were to document the proportion of SSc patients with pruritus on most days, to determine when in the course of the disease pruritus is most prevalent, and to identify clinical correlates. METHODS: We performed a cross-sectional, multicenter study of 400 SSc patients from the Canadian Scleroderma Research Group Registry > or =1 year after Registry enrollment. Patients indicated whether they experienced pruritus during the past month on most days and underwent clinical histories and medical examinations. Multiple logistic regression was used to assess the association between sociodemographic and clinical variables and pruritus. RESULTS: A total of 179 patients (45%) reported pruritus on most days, including 69% (11 of 16) among patients 1.0-1.9 years from onset of non-Raynaud's symptoms, 41% (38 of 93) for 2.0-4.9 years, 47% (44 of 94) for 5.0-9.9 years, 43% (60 of 140) for 10.0-19.9 years, and 46% (26 of 57) for > or =20 years. In post hoc analysis, patients 1.0-1.9 years from disease onset were significantly more likely to report pruritus (P = 0.049). Patients with pruritus had significantly more skin involvement (P = 0.029), more gastrointestinal (GI) symptoms (P < 0.001), worse breathing problems (P = 0.001), worse Raynaud's symptoms (P = 0.002), and more severe finger ulcers (P = 0.009). Only the number of GI symptoms predicted pruritus in multiple logistic regression analysis (odds ratio 1.25, 95% confidence interval 1.13-1.37; P < 0.001). CONCLUSION: Pruritus is common in SSc and is independently associated with GI symptoms. Focused research on sources of pruritus and its management in SSc is needed.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".