The Serological Status Affects the Prognostic Role of Salivary Gland Histology in Primary Sjögren Syndrome
Bibliographic record
Abstract
We read with interest the article by Sharma, et al that evaluated a cohort of patients with symptoms of mucosal dryness undergoing diagnostic workup for the suspicion of primary Sjögren syndrome (pSS)1. The assessment also included a minor salivary gland (MSG) biopsy and patients were classified as pSS if fulfilling the histological [focus score (FS) ≥ 1], serological (anti-Ro based on the American College of Rheumatology/European League Against Rheumatism set or either anti-Ro or anti-La based on the American-European Consensus Group set), or both criteria2,3. Among the 229 subjects classified as having pSS, the authors observed a FS = 0 in 51 subjects (22%), between 0 and 1 in 11 subjects (5%), and ≥ 1 in 167 subjects (73%). According to this, patients were divided in 3 groups, and clinical and serological features were compared. In the FS ≥ 1 group, only patients with anti-Ro … Address correspondence to Dr. F. Carubbi, MD, PhD, Rheumatology Unit, Department of Biotechnological and Applied Clinical Science, School of Medicine, University of L’Aquila, L’Aquila, Italy; Department of Medicine, ASL1 Avezzano-Sulmona-L’Aquila, L’Aquila, Italy. Email: francescocarubbi{at}libero.it.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".