Ultrasonography of the Salivary Gland in Primary Sjögren Syndrome: Usefulness to Phenotype the Patients
Bibliographic record
Abstract
Major salivary gland ultrasonography (SGUS) is widely used to diagnose primary Sjögren syndrome (pSS) in a large majority of individuals as well as in specific situations, such as when lymphoma is suspected1,2,3. It is a powerful and noninvasive procedure that provides a global image of the parenchymal lesions of the major salivary gland and clearly reflects the effect of the disease on the target tissue4. Some different scoring systems exist, all of which are based on parenchymal inhomogeneity of the parotid and submandibular glands. In this issue of The Journal of Rheumatology , Mossel, et al included consecutive primary Sjögren syndrome (pSS) outpatients in a registry of patients called the RESULT cohort; they described a phenotype associated with an elevated US parenchymal score5. Based on the Hocevar scoring system, an elevated US score was associated with more severe disease, higher European League Against Rheumatism (EULAR) Sjögren’s Syndrome Disease Activity Index (ESSDAI) score, higher levels of IgG and … Address correspondence to Dr. V. Devauchelle-Pensec, Service de rhumatologie, CHRU Cavale Blanche, Boulevard Tanguy Prigent, 29200, Brest, France. Email: valerie.devauchelle-pensec{at}chu-brest.fr.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".