Clinical Profiling of Psoriatic Arthritis: An Observational Cross-sectional Study from Karnataka Psoriatic Arthritis Cohort
Bibliographic record
Abstract
Background: Clinical patterns and disease activity burden of psoriatic arthritis (PsA) varies in different parts of the world.There are limited studies from the Indian subcontinent.Aims: To study the cutaneous and articular profile of PsA and describe their disease activity with validated outcome measures.Methods: Karnataka psoriatic arthritis cohort study is a multicenter, prospective, cross-sectional, observational study which included all consecutive PsA patients defined by Classification criteria for psoriatic arthritis (CASPAR) from 18 rheumatology centers.Results: A total of 549 PsA patients (M: F: 6:5), mean age 38.4 (±14) years were included.PsA preceded psoriasis in 81 (14.7%) while simultaneous onset was noted in 117 (21.5%).Plaque lesions (330 [78.8%]) and scalp (210 [49.2%]) were the most common type and site.Mild, moderate, and severe skin disease was noted in 480 (80%), 50 (9.3%),and 57 (10.6%) patients, respectively.Mean disease activity in PsA (DAPSA) was 18.8 (16.6); 100 (19.9%) were in remission.Low, moderate, and high joint disease activity was found in 145 (28.8%), 137 (27.2%), and 123 (24.5%), respectively.There was no correlation between skin and joint disease.Polyarthritis (216 [40.7%]) and oligoarthritis (202 [38.1%]) were the most frequent PsA subtypes.Those with a higher DAPSA (>28) were older (P = 0.02), had a shorter duration of psoriasis (P = 0.02) and higher psoriatic area and severity index scores (P = 0.0001).Conclusions: We report high articular disease activity in half while cutaneous disease activity was minimal in majority.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".