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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".