Hepatic Manifestations in Juvenile Systemic Lupus Erythematosus
Bibliographic record
Abstract
Juvenile systemic lupus erythematosus (JSLE) is a chronic autoimmune disease characterized by multisystem involvement and diverse clinical and serological manifestations. Clinically significant hepatic disease is generally regarded as unusual in JSLE, but many studies have showed that hepatic disease may be more common in SLE than was usually thought. Hepatic disease does not cause significant morbidity and mortality, but subclinical liver involvement is common. One of the hepatic disorders associated with JSLE is autoimmune hepatitis (AIH). The precise etiology of AIH and JSLE remains unknown, however both AIH and JSLE are associated with antinuclear antibody (ANA) and multisystem disease manifestations. A shared immunologic response and genetic predisposition were suggested. Recently, new approaches for treatment of SLE and recent patents that could develop into novel therapeutic agents in clinical management of SLE have been proposed. An array of promising new therapies is currently emerging or being developed including B-cell depletion therapies, agents targeting B-cell survival factors, blockade of T-cell co-stimulation and present review, we will also report the case of a 12-year old girl who developed JSLE four years after her preliminary diagnosis with AIH.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".