Sex Differences in Moderate to Severe Psoriasis: Analysis of the Psoriasis Longitudinal Assessment and Registry
Bibliographic record
Abstract
Background: Patterns of psoriasis characteristics by sex are not fully understood. Objective: Evaluate patient characteristics by sex at enrollment in the Psoriasis Longitudinal Assessment and Registry (PSOLAR). Methods: Two PSOLAR cohorts were evaluated by sex: patients who were biologic-naïve (n = 3329) and patients who were systemic therapy-naïve (n = 1290) at entry. Baseline demographic and disease characteristics, medical history, social activity, and lifestyle risk factors were collected for all patients and were compared between males and females using an independent samples t-test for continuous variables and chi-square tests for categorical variables. Results: In both cohorts, disease duration was similar for males and females; however, disease severity based on baseline Physician Global Assessment and body surface area of psoriasis was greater in males versus females ( P < .05). Baseline Dermatology Life Quality Index scores were higher for biologic-naïve females than for males ( P = .008). In both cohorts, females were significantly more likely than males to have a history of anxiety, depression, and cancer excluding nonmelanoma skin cancer, to have received systemic steroid therapy, and to have health insurance; males were significantly more likely than females to have a history of cardiovascular disease, smoking, and alcohol consumption, and to work full time. Conclusions: Based on patient data obtained at entry into PSOLAR, significant differences in psoriasis disease characteristics, and medical, family, and social history-related variables were observed between males and females. Among systemic therapy-naïve patients, there was a greater negative impact on quality of life for females compared with males, despite generally lower objective disease severity for females.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".