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Record W4200407950 · doi:10.1097/pg9.0000000000000151

Pediatric Acute Liver Failure as Presentation of Autoimmune Hepatitis

2021· article· en· W4200407950 on OpenAlexaff
Lilian Massabki, Natascha Silva Sandy, Adriana María Alves De Tommaso, Maria Angela Bellomo‐Brandão, Gabriel Hessel, Elizete Aparecida Lomazi

Bibliographic record

VenueJPGN Reports · 2021
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsAutoimmune hepatitisLiver failureMedicinePresentation (obstetrics)HepatitisImmunologyPediatricsInternal medicineSurgery

Abstract

fetched live from OpenAlex

Severe acute liver failure (SALF) is a rare condition in children. Up to 50% of the cryptogenic causes of SALF are associated with autoimmune hepatitis (AIH). This report presents a 5-year-old girl with progressive jaundice for 10 days. Her 1999 AIH diagnostic score totaled 11 points, compatible with probable AIH. She fulfilled the SALF criteria and the King's College criteria for liver transplantation, despite treatment with corticosteroids, and underwent the transplant, but died in the immediate postoperative period due to massive bleeding. Subsequently, the liver-kidney microsome type 1 result was 1:80, increasing the AIH score to 13 points. The final diagnosis was probable AIH type 2, associated with SALF. The biopsy of the explanted liver was compatible with fulminant hepatitis. This report highlights the difficult diagnosis of AIH in SALF, limitations of the diagnostic criteria for SALF in indications for emergency transplantation, and the uncertain therapeutic response produced by corticosteroids.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.009
GPT teacher head0.265
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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

Citations0
Published2021
Admission routes1
Has abstractyes

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