Clinical and radiological changes during psoriatic arthritis disease progression.
Bibliographic record
Abstract
OBJECTIVE: To determine the contribution of radiological findings at the initial visit with respect to classifying patients with psoriatic arthritis (PsA); and to determine the extent to which the clinical disease patterns change over time. METHODS: Patients with PsA were followed prospectively at 6-12 month intervals since 1978; 86 patients were registered within 1 year of diagnosis and were followed for at least 1 year. Based on the clinical information, including the actively inflamed joint count, damaged joint count, and the presence of back disease and arthritis mutilans, a clinical PsA pattern was assigned. A separate radiology pattern based on radiographs alone, and a combined clinical and radiological pattern, was also assigned at each visit. The initial clinical pattern was compared to the initial combined clinical-radiological pattern, and the initial clinical pattern was compared to the clinical pattern at 1 year and 5 years in 35 patients with both 1 and 5 year followup. RESULTS: In 23% of the patients, the radiological assessment in the initial visit showed evidence of patterns not detected clinically; 49% and 77% of the patients showed clinical pattern change within 1 year and 5 years, respectively. A comparison between the group that changed pattern and the one that did not change pattern in 5 years revealed no significant features. CONCLUSION: Radiological assessments add information not gained from clinical assessment alone. Clinical patterns do change over time in the majority of patients. Both elements must be taken into consideration when developing classification criteria for 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 | 0.001 | 0.007 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".