Inflammatory Spinal Disease in Psoriatic Arthritis: A Report from the GRAPPA 2010 Annual Meeting
Bibliographic record
Abstract
Diagnosing axial disease in patients with psoriatic arthritis (PsA) has been largely dependent on identifying inflammatory back pain (IBP), which itself has been difficult to define. We review the criteria used to identify IBP in patients with ankylosing spondylitis (AS) and other forms of spondyloarthritis. Recently, the Ankylosing SpondyloArthritis International Society (ASAS) developed a list of clinical and radiographic criteria for identifying IBP in patients with AS. However, it is more difficult to identify IBP in patients with PsA because generally they have less pain than patients with rheumatoid arthritis or AS. Further, PsA patients may have clinical symptoms of pain but negative radiographs. It may be more useful to identify sacroiliitis or syndesmophytes by magnetic resonance imaging (MRI), since MRI identifies lesions in the sacroiliac joints and the spine much earlier than can be detected on radiographs. In summary, all patients with PsA should be assessed for axial involvement with history, physical examination, and imaging. Patients with psoriasis whose history includes onset of back pain before age 40 years, the presence of night pain, and improvement with exercise but not with rest, or who have limited neck or back mobility, should be referred to a rheumatologist.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".