Adult Celiac Disease Followed by Onset of Systemic Lupus Erythematosus
Bibliographic record
Abstract
BACKGROUND: Celiac disease has been associated with autoimmune disease (eg, autoimmune thyroiditis) and the appearance of different autoantibodies (eg, antidouble-stranded DNA). Conversely, tissue transglutaminase antibodies have been detected in autoimmune disorders, including systemic lupus erythematosus (SLE), but cases of celiac disease with SLE have been only rarely recorded. METHODS: In this study, 246 patients with biopsy-defined celiac disease were evaluated for a prior diagnosis of SLE on the basis of American Rheumatological Association-defined clinical and serologic parameters. RESULTS: There were 6 patients with celiac disease and SLE, or 2.4%, including 4 females and 2 males. Their mean age at diagnosis of celiac disease was 44.7 years and SLE 50 years. In all patients, the diagnosis of SLE was established from 2 years to more than 10 years after the diagnosis of celiac disease, with a mean of 5.3 years. The celiac disease in all 6 patients responded to a gluten-free diet with histologic normalization of the small intestinal biopsies. Despite this small bowel biopsy response, SLE appeared later in the clinical course of the celiac disease. CONCLUSIONS: This study suggests that SLE occurs far more frequently in biopsy-defined celiac disease than is currently appreciated, and detection may be more likely if the period of clinical follow-up of the celiac disease is prolonged.
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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 | 0.000 | 0.002 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".