Tongue Atrophy in Sjögren Syndrome Patients with Mucosa-associated Lymphoid Tissue Lymphoma: Autoimmune Epithelitis beyond the Epithelial Cells of Salivary Glands?
Bibliographic record
Abstract
OBJECTIVE: Primary Sjögren syndrome (pSS), an autoimmune epithelitis, bears the risk of evolving to non-Hodgkin lymphoma and most frequently to the mucosa-associated lymphoid tissue (MALT) subtype. Based on the observation that pSS patients with MALT present a more atrophic and more intensely fissured tongue, we aimed to semiquantify severity of tongue atrophy and clinically assess lingual appearance in pSS patients with and without MALT, and investigate whether tongue atrophy and fissured appearance could serve as clinical indicators/signs of MALT. METHODS: A blinded complete oral examination was performed in pSS patients with and without MALT. Tongue atrophy was scored using a semiquantified atrophy score. Clinical and laboratory variables were recorded for all patients. RESULTS: After excluding pSS patients with oral candidiasis, iron deficiency, and megaloblastic anemia, 19 pSS patients with salivary MALT were matched 1:3 for age, sex, and disease duration with 57 pSS patients without MALT. The pSS-MALT patients had increased prevalence of salivary gland enlargement, lymphadenopathy, monoclonal gammopathy, rheumatoid factor positivity, higher focus and Tarpley scores in the minor salivary gland biopsy, and hyposalivation, compared to the pSS non-MALT patients. A significantly higher prevalence of tongue atrophy (68% vs 30%, p = 0.006) and fissured tongue (89% vs 33%, p < 0.001) was observed in the former group. Multivariate analysis showed that fissured tongue appearance, hyposalivation, and lymphadenopathy associate independently with salivary MALT in pSS. CONCLUSION: These results suggest that pSS patients with lymphoid malignancy exhibit a more atrophic and more fissured tongue. This particular clinical tongue appearance can serve as an additional clinical sign for salivary MALT lymphoma in pSS patients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".