Mortality in Psoriatic Arthritis – A Single-center Study from the UK
Bibliographic record
Abstract
OBJECTIVE: To determine whether the mortality in a cohort of patients with psoriatic arthritis (PsA) from a single center in the UK is significantly different from the general UK population. METHODS: Patients who were entered onto the PsA database at the Royal National Hospital for Rheumatic Diseases, Bath, between 1985 and 2007 were included in this study. Information on patient deaths was collected retrospectively. The National Health Service (NHS) Strategic Tracing Service was used to establish which patients were alive and which had died. Date and cause of death were confirmed by death certificates from the Registry of Births, Marriages and Deaths. A standardized mortality ratio (SMR) was calculated by matching the patient data to single-year, 5-year age-banded England and Wales data from the Office of National Statistics. RESULTS: In this cohort of 453 patients with PsA (232 men, 221 women), there were 37 deaths. Sixteen men and 21 women died. The SMR for the men was 67.87% (95% CI 38.79, 110.22), and for the women, 97.01% (95% CI 60.05, 148.92) and the overall SMR for the PsA cohort was 81.82% (95% CI 57.61, 112.78). The leading causes of death in this cohort were cardiovascular disease (38%), diseases of the respiratory system (27%), and malignancy (14%). CONCLUSION: These results suggest that mortality in our single-center PsA cohort is not significantly different from the general UK population. No increased risk of death was observed in this cohort.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".