Understanding the Psoriasis Phenotype Associated With Psoriatic Arthritis Using the PURE-4 Questionnaire: Insights From Spanish Real-World Settings
Bibliographic record
Abstract
Objective To describe the psoriatic phenotype associated with psoriatic arthritis (PsA). Methods Based on the previously published 4-item Psoriatic Arthritis Uncluttered Screening Evaluation (PURE-4) validation study, this work aims to describe the sociodemographic and clinical characteristics, as well as the PURE-4 questionnaire outcomes, of patients with psoriasis (PsO) who completed the study. It compares those diagnosed with PsA during the study to those with PsO only. The variables compared were age, sex, time since diagnosis of PsO, PsO location, PsO treatment, Psoriasis Area and Severity Index (PASI), and Dermatology Life Quality Index (DLQI). Results The study included 253 patients with PsO, from whom 46 developed PsA (28 [60.9%] male; mean age 48.9 [11.1] years) during the study. At baseline, patients who developed PsA had more involvement of PsO in the neck (13% vs 3.4%, P < 0.01), knees (71.4% vs 50%, P = 0.02), hands (40% vs 17.7%, P < 0.01), and feet (22.9% vs 9.8%, P = 0.03) as well as high-impact areas. PASI (8.7 [SD 5.6] vs 6.8 [SD 5.0], P = 0.03) and DLQI (9.9 [SD 6.9] vs 7.6 [SD 6.7], P = 0.09) values were higher among patients with PsA. Peripheral joint pain with swelling (item 4) was the most prevalent item of PURE-4 among patients with PsA, ranging from 67.6% (vs 47.1%; P = 0.03) in Assessment I to 91.7% (vs 45.4%; P < 0.01) in Assessment II. Conclusion Greater PsO involvement in neck, knees, hands, and feet as well as in high-impact areas of patients who developed PsA provides additional information on the arthritogenic phenotype of PsO in our study population compared to locations generally linked to arthritis risk, such as the nails or scalp.
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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 | 0.002 | 0.005 |
| 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 | 0.001 | 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".