Axial Articular Manifestations in Primary Sjögren Syndrome: Have We Been Missing Spondyloarthritis for All This Time?
Bibliographic record
Abstract
Jarrot and colleagues1 present a retrospective evaluation of 148 patients with primary Sjögren syndrome (SS) who fulfilled the American College of Rheumatology/European League Against Rheumatism criteria for SS, and also fulfilled the criteria for spondyloarthritis (SpA). The patients were largely from Marseille, France, and were followed over a prolonged time period. The authors found symptoms suggestive of axial articular manifestation (AAM) in 29 patients (20% of all women in their SS cohort) in the cohort. Among the 29 patients that were chosen as AAM, 74% were found to have coexistent psoriatic arthritis and 26% ankylosing spondylitis (AS). These diagnoses were not immediately verified at the time of the initial diagnosis of SS. However, with longer follow-up and the persistence of back pain, the diagnosis of SpA was confirmed. Radiologic sacroiliitis was reported in 65% of the patients and HLA-B27 in 13% of the patients. Many (61%) of these patients with SS required biologic therapies with a good clinical response and no adverse effects on their SS. The Jarrot, et al 1 study started from their observation of 3 patients in … Address correspondence to Dr. R. Fox, Division of Rheumatology, 9850 Genesee Ave, #910, Scripps Memorial Hospital and Research Institute, La Jolla, CA 92037, USA. Email: robertfoxmd{at}icloud.com.
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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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| 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".