Psoriatic Arthritis Mutilans: Characteristics and Natural Radiographic History
Bibliographic record
Abstract
OBJECTIVE: (1) To compare clinical characteristics of patients with psoriatic arthritis (PsA) with PsA mutilans (PAM) and without PAM, and (2) to determine the rate of PAM radiographic progression. METHODS: A retrospective cohort study was conducted of all patients with PsA attending a teaching hospital. The most recent hand and feet radiographs were screened for PAM. Serial radiographs (earliest to most recent) were quantitatively scored for osteolysis, erosion, joint space narrowing, and osteoproliferation. RESULTS: Out of the 610 cases, 36 PsA cases had PAM (5.9%). PAM cases were younger at diagnosis of PsA than non-PAM cases (p = 0.04), had more prevalent psoriatic nail dystrophy (OR 5.43, p < 0.001), and worse health assessment questionnaire score (1.25 vs 0.63, p < 0.04). Radiographic axial disease (OR 2.31, adjusted p = 0.03) and especially radiographic sacroiliitis (OR 2.99, adjusted p = 0.01) were more prevalent in PAM. PAM were more likely than non-PAM cases to have used a disease-modifying antirheumatic drug (DMARD; OR 16.36, p < 0.001). Out of 33 cases, 29 PAM cases had initiated a synthetic DMARD and 4/13 had initiated anti-tumor necrosis factor (anti-TNF) prior to first demonstration of PAM. A median 5 radiographs were scored for each PAM case (interquartile range 3-7). PAM progressed from monoarticular (60%) to polyarticular (80%) involvement. Osteolysis was initially rapid and progressive in the hands and feet, tapering later during disease course. Nail dystrophy predicted more severe osteolysis (p = 0.03). CONCLUSION: Compared with non-PAM cases, PAM cases have earlier age at PsA diagnosis, poorer function, more prevalent nail dystrophy, and more radiographic axial disease/sacroiliitis. The rate of osteolysis is higher in earlier disease, and more severe in those with nail dystrophy. DMARD and anti-TNF therapy appear not to prevent PAM occurrence.
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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 | 0.002 |
| 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 | 0.001 |
| 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".