Results of a Nationwide Multicenter Study in Childhood Sjögren Disease
Bibliographic record
Abstract
Objective This nationwide, multicenter study was conducted to assess the demographic and clinical features, treatment regimens, and prognosis of primary Sjögren disease (SjD) in childhood. Methods This retrospective study included a total of 81 patients < 18 years of age from 21 pediatric rheumatology centers. Among these, 51 patients fulfilled the diagnosis of childhood SjD according to the 2016 American College of Rheumatology (ACR)/European Alliance of Associations for Rheumatology (EULAR) classification criteria. The remaining 30 patients—who did not fully meet these criteria but exhibited clinical and laboratory findings suggestive of SjD—were categorized as at risk for childhood SjD to highlight diagnostic challenges and the spectrum of early presentations, based on comprehensive clinical evaluation by experienced pediatric rheumatologists. Results The cohort consisted of 81 patients (85.2% female, 14.8% male) with a median age at symptom onset of 11.4 years and a median follow-up of 24 months. Common clinical manifestations included dry mouth, dry eyes, arthralgia, fatigue, and parotitis. Fifty-one of the 81 patients met the 2016 ACR/EULAR classification criteria, whereas the remaining 30 were classified as an at-risk group. The most common clinical findings in the at-risk group were xerostomia (90%), arthralgia (56.7%), fatigue (50%), and dry eyes (43.3%). Dry mouth and peripheral nervous system involvements were found to be higher in patients categorized as at risk ( P = 0.03 and P = 0.02, respectively). Conclusion The current classification criteria for childhood SjD appear to be inadequate, highlighting the need for pediatric-specific criteria that more accurately reflect the distinct clinical patterns observed in children.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".