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Hepatic Manifestations in Juvenile Systemic Lupus Erythematosus

2014· review· en· W2069668917 on OpenAlexfundno aff
Mortada El‐Shabrawi, Mona Issa Farrag

Bibliographic record

VenueRecent Patents on Inflammation & Allergy Drug Discovery · 2014
Typereview
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
FundersAlberta Innovates - Health Solutions
KeywordsJuvenileMedicineDermatologyPathologyBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.898
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.031
GPT teacher head0.295
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations10
Published2014
Admission routes1
Has abstractyes

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