Psoriatic Arthritis Spondylitis Radiology Index: A Modified Index for Radiologic Assessment of Axial Involvement in Psoriatic Arthritis
Bibliographic record
Abstract
OBJECTIVE: To develop and validate a modified index for assessing the radiologic axial involvement in psoriatic arthritis (PsA) in a group of patients with established disease. METHODS: Patients were included on clinical and/or radiologic criteria. The modified index combined features of existing radiologic indices for ankylosing spondylitis (AS) with the addition of scores for the facet joints of the cervical and lumbar regions. Scores for the BathAS Radiology Index (BASRI), the modified Stoke AS Scoring System (mSASSS), and the new index were obtained from current radiographs. The construct validity of the new index was assessed by examining the correlation with patient reported outcomes, such as the Revised Leeds Disability Questionnaire (RLDQ) and BathAS Functional Index (BASFI), and anthropometric measures. RESULTS: Radiographs were available for 73 patients (54 men, 19 women, mean age 49.4 +/- 11.0 yrs, mean disease duration 14.0 +/- 7.9 yrs). Due to difficulty in visualizing and interpreting the lumbar facet joints, only the cervical facet joints were included in the new score, called the PsA Spondylitis Radiology Index (PASRI). Overall, the PASRI resulted in less missing data than the mSASSS, but had less complete data than the BASRI. The PASRI also had fewer zero scores than the mSASSS and the score range for the PASRI exceeded that of the mSASSS and the BASRI. Correlation with anthropometric and patient reported outcomes was good for both the PASRI and BASRI, with both these measures outscoring the mSASSS. CONCLUSION: The PASRI encompasses a greater range of the spinal radiologic features of PsA, provides a greater score range and fewer zero scores, and correlates well with anthropometric and patient reported measures.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 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".