Improved survival in psoriatic arthritis with calendar time
Bibliographic record
Abstract
OBJECTIVE: To determine whether there has been a change in mortality rates over the last 3 decades in patients with psoriatic arthritis (PsA) whose cases were followed prospectively. METHODS: Patients receiving followup care according to a standard protocol at the University of Toronto PsA Clinic between 1978 and 2004 were included. Information on patient deaths was collected prospectively. Mortality data for the general population of Ontario, Canada, stratified by 5-year age bands, sex, and calendar year from 1978 to 2004, were used to calculate the reference rates. Standardized mortality ratios (SMRs) were calculated through use of Poisson regression models for the number of observed deaths. Time trend analyses were performed through the use of 10-year "rolling-average" SMRs and followup period-specific SMRs stratified by the period of entry into clinic. RESULTS: Of 680 patients with PsA, 106 (15.6%) (55 women and 51 men) have died. Major causes of death were disease of the circulatory system, neoplasms, diseases of the respiratory system, diseases of the gastrointestinal system, injuries/poisoning, and unknown. The overall SMR for the period 1978-2004 was 1.36 (95% confidence interval 1.12, 1.64). The estimated number of life-years lost by the PsA patient cohort overall was 2.99 years (95% confidence interval 1.14, 4.77). For patients who entered the cohort during the years 1978-1986, the SMRs were 1.89, 1.83, and 1.21 for followup periods 1978-1986, 1987-1995, and 1996-2004, respectively. For patients who entered the cohort during the years 1987-1995, the SMRs were 0.55 and 0.82, while the SMR for those who entered during 1996-2004 was 0.56. CONCLUSION: The drop in SMRs in this PsA clinic population suggests that the mortality risk has improved over time. This improved survival may reflect disease severity at presentation in the earlier cohort as well as earlier diagnosis and more aggressive treatment in the more recent followup period.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".