The Self-Administered Psoriasis and Arthritis Screening Questionnaire (PASQ): A Sensitive and Specific Tool for the Diagnosis of Early and Established Psoriatic Arthritis
Bibliographic record
Abstract
Background Psoriatic arthritis is a serious chronic inflammatory arthritis that can lead to significant joint damage and often is associated with comorbidities. Early detection and effective management of psoriatic arthritis may prevent the development of such complications. Most patients develop psoriatic arthritis years after onset of psoriasis, and most patients with psoriasis alone are managed by dermatologists or general practitioners. These clinicians are thus in an excellent position to screen for psoriatic arthritis early in the disease course. Objective The objective of this study was to evaluate the sensitivity and specificity of the Psoriasis and Arthritis Screening Questionnaire (PASQ) in detecting patients with psoriatic arthritis. Methods Two groups of patients were screened: patients with established disease and patients referred for evaluation of possible (i.e., early) psoriatic arthritis. Results In patients with established disease, analysis of the PASQ score yielded an optimal cutoff point of 9 with 86.27% sensitivity and 88.89% specificity. In patients with early disease, the PASQ indicated an optimal score of 7 with 92.86% sensitivity and 75% specificity. Conclusion The PASQ is an effective screening tool in psoriatic arthritis patients with a long history of disease as well as in those with short disease duration.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".