Relationship between patient acceptable symptom state and disease scores in psoriasis
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Bibliographic record
Abstract
Patient acceptable symptom state (PASS) is a patient-reported outcome that reflects patients' perspective well. The relationship between the PASS and disease scores in psoriasis has not been described. The aim of the present study was to investigate the association of PASS with Psoriasis Area and Severity Index (PASI) and body surface area (BSA) affected by lesions in patients with psoriasis. A sectional study was conducted. PASS was evaluated by a binary question on the patient's feeling that they have about their symptoms. Clinical data including PASI, BSA, and other patient characteristics were collected. Logistic regression was used to investigate the associations. Receiver-operator curve (ROC) analysis was utilized to determine the PASI/BSA thresholds for PASS. A total of 198 participants (27.8% female, mean age 41.9 ± 12.6 years, mean disease duration 10.2 ± 8.6 years) completed this study. Of patients with mild psoriasis, 71.4% based on PASI and 76.3% based on BSA considered their symptom state acceptable. Female sex (adjusted odds ratio [OR] = 0.47; 95% confidence interval [CI = 0.42-0.92) and patients with exposed skin involved (adjusted OR = 0.38; 95% CI = 0.19-0.76) were less likely to report acceptable symptom state. The threshold for differentiating psoriasis patients in PASS was 3.85 (area under the curve [AUC], 0.67; sensitivity, 0.67; specificity, 0.60) for PASI and 2.85% (AUC, 0.66; sensitivity, 0.79; specificity, 0.54) for BSA, respectively. These results showed that mild psoriasis based on PASI/BSA score align well with PASS status. Female and exposed skin involved are risk factors for acceptable status. Both PASI and BSA have limited capability in differentiating acceptable symptom state in psoriasis.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it