Psoriatic Arthritis and Onycholysis — Results from the Cross-sectional Reykjavik Psoriatic Arthritis Study
Bibliographic record
Abstract
OBJECTIVE: To measure the associations between subtypes of nail changes and psoriatic arthritis (PsA) among patients with psoriasis. METHODS: Patients age 18 years and older with active psoriasis were examined for skin and nail changes and asked if they had been diagnosed with PsA. Patients with arthritis were invited for a separate study 1-6 years after their initial visit. Univariate and multivariate analyses were used to test the strength of associations between subtypes of nail changes and arthritis. RESULTS: Of 1116 patients with psoriasis, 37% (95% CI 34%-40%) had nail changes. Age, any nail change, onycholysis, and pitting were each associated with PsA on univariate analysis. Multivariate analysis showed that onycholysis was the only type of nail change independently associated with PsA (OR 2.05, p < 0.001). Nail changes persisted and had increased in prevalence at the followup examination at a mean of 3.8 (median 4 yrs, interquartile range 3-4) years later. Previously reported associations between psoriasis location and arthritis were not seen in this dataset. CONCLUSION: PsA is associated with onycholysis. Associations with pitting and subungual hyperkeratosis were not statistically significant. Subtypes of nail changes should be analyzed separately in future studies of 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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".