Sensitivity and Specificity of Composite Indices of Remission in Male and Female Patients With Psoriatic Arthritis: A Multicenter Cross-Sectional Study of Longitudinal Cohorts
Bibliographic record
Abstract
OBJECTIVE: The aim was to evaluate the sex differences in sensitivity, specificity, positive and negative predictive values, and likelihood ratio of the outcome indices minimal disease activity (MDA), Disease Activity Score for Psoriatic Arthritis (DAPSA), and Psoriatic Arthritis Impact of Disease (PsAID) with respect to clinical remission, evaluated from both the physician and patient perspective, in a multicenter cohort of patients with PsA. METHODS: In this cross-sectional analysis of 2 longitudinal cohorts, all patients with PsA consecutively attending our rheumatology units were considered potentially eligible for the study. In all patients, a complete clinical examination was carried out. The DAPSA was calculated for each patient (DAPSA values ≤ 4 were considered as remission) and MDA was also evaluated. Patient and physician global assessment values ≤ 1 were considered as a surrogate of remission from the patient and physician perspective, respectively. RESULTS: Two hundred seventy-two patients with PsA were enrolled (mean age 55.7 [SD 12.4]; 141 male, 131 female). In both sexes, MDA had good sensitivity and specificity toward remission as assessed by the rheumatologist. Remission according to DAPSA had excellent values of specificity but lacks sensitivity in both sexes. PsAID ≤ 4 had excellent values of sensitivity but lacked specificity in both sexes. Remission defined by DAPSA values was found to be more sensitive and specific in female patients (45.4% and 100%, respectively) than in male patients (33.3% and 84.2%, respectively) with respect to physician-judged remission. CONCLUSION: The results of this study demonstrate for the first time, to our knowledge, that some differences between the 2 sexes on the different outcome indices are possible. This could be important in the clinical management of patients with PsA.
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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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".