Autoimmune hepatitis and juvenile systemic lupus erythematosus
Bibliographic record
Abstract
Juvenile systemic lupus erythematosus (JSLE) and autoimmune hepatitis (AIH) are both autoimmune disorders that are rare in children and have a widespread clinical manifestation. A few case reports have shown a JSLE-AIH associated disorder. To our knowledge, this is the first study that simultaneously evaluated the prevalence of JSLE-AIH in a large JLSE and AIH population in groups of Hepatology and Rheumatology of a tertiary Paediatric University Hospital. In a 24-year period, 228 patients were diagnosed with JSLE (ACR criteria). In the same period, 252 patients were diagnosed with AIH according to the International Autoimmune Hepatitis Group. In this article, we present the demographic data, clinical features, laboratory exams and treatment of four children with both the diseases. The prevalence was 1.8% in JSLE population and was 1.6% in AIH population. The current median age was 15.5 years and three were females. In three of them, the diagnosis of AIH preceded JSLE. All of them had increased liver enzymes with a characteristic liver biopsy of AIH and responded to the combination of prednisone, azathioprine and antimalarial drugs. In conclusion, the presence of AIH-JSLE associated disorder was rarely observed. The liver biopsy could be necessary in patients with JLSE with a persistent increase of liver enzymes.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".