Clinical Features and Patient Outcomes of Hidradenitis Suppurativa
Bibliographic record
Abstract
BACKGROUND: Despite the high burden of disease associated with hidradenitis suppurativa (HS), epidemiologic data are scarce. OBJECTIVE: The objective was to review demographic features and clinical findings in 80 HS patients from 2 referral centres in Ontario, Canada, from October 2013 to September 2014, and to assess for factors that are associated with more advanced disease. METHODS: Multicentre cross-sectional study. The data on demographic and clinical features were obtained by questionnaires and chart review. RESULTS: Of a total of 80 patients (67.5% females), percentages of patients in Hurley stages I, II, and III were 15.4%, 55.8%, and 28.9%, respectively. Most patients were not diagnosed for more than 1 year (70.1%). Patients with more severe disease were more likely to be females and to have a greater number of lesions and were less likely to be diagnosed initially by a dermatologist. CONCLUSIONS: This study documents the common demographic and clinical features of HS to optimize resource allocation and patient outcomes.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".