Need for Improvement in Current Treatment of Psoriatic Arthritis: Study of an Outpatient Clinic Population
Bibliographic record
Abstract
OBJECTIVE: To explore the burden of skin, joint, and entheses manifestations in a representative psoriatic arthritis (PsA) outpatient cohort in the biologic treatment era. METHODS: This was a cross-sectional study of 141 PsA outpatients fulfilling the ClASsification for Psoriatic ARthritis (CASPAR) criteria and examined between January 2013 and May 2014. Selected disease activity measures were explored including Disease Activity index for PSoriatic Arthritis (DAPSA), Composite Psoriatic Disease Activity Index (CPDAI), Psoriatic Arthritis Disease Activity Score (PASDAS), Disease Activity Score for 28 joints (DAS28), Simplified Disease Activity Index (SDAI), and Psoriasis Area Severity Index (PASI). Dermatology Life Quality Index (DLQI), minimal disease activity (MDA), and remission criteria were assessed. RESULTS: Median (range) DAPSA was 14.5 (0.1-76.4), CPDAI 5 (1-11), PASDAS 3.1 (2.1-4.2), DAS28-erythrocyte sedimentation rate (ESR) 3.2 (0.6-6.4), SDAI 8.6 (0.1-39.5), PASI 1.2 (0.0-19.7), and DLQI 2.0 (0-17). The MDA criteria were fulfilled by 22.9% of the patients. DAPSA ≤ 4, CPDAI ≤ 2, PASDAS < 2.4, DAS28-ESR < 2.4, SDAI < 3.3, and Boolean's remission criteria were fulfilled by 12.1, 9.3, 7.8, 26.2, 21.3, and 5.7% of patients, respectively. The number of satisfied patients was similar regardless of whether the group was treated with tumor necrosis factor inhibitors. CONCLUSION: Our real-life data indicate that there is still a need for improvement in today's treatment of PsA. Musculoskeletal inflammatory involvement was more prominent than psoriatic skin involvement. Only a few patients fulfilled the DAPSA, PASDAS, and CPDAI remission criteria, and about a quarter fulfilled the MDA criteria. Considerably fewer patients fulfilled PsA-specific remission criteria versus non-PsA specific remission criteria. Still, patient satisfaction was good and PASI and DLQI were low.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".