Psoriasis Symptom Inventory (PSI) as a patient-reported outcome in mild psoriasis: Real life data from a large psoriatic arthritis registry
Bibliographic record
Abstract
OBJECTIVE: Our aim is to test the validity of the Psoriasis Symptom Inventory (PSI), a patient-reported outcome, to assess the psoriasis severity within the scope of rheumatology. METHODS: Within the PsA international database (PSART-ID), 571 patients had PSI, while 322 of these also showed body surface area (BSA). Correlations between PSI, BSA, and other patient- and physician-reported outcomes were investigated. RESULTS: There was a good correlation between PSI and BSA (r=0.546, p<0.001), which was even higher for mild psoriasis (BSA<3 (n=164): r=0.608, p<0.001). PSI significantly correlated with fatigue, pain, and patient and physician global parameters (p<0.001). CONCLUSION: PSI has a good correlation with other patient- and physician-reported outcomes, and our findings support its use in rheumatology practice.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".