MétaCan
Menu
Back to cohort
Record W2767426571 · doi:10.1111/hepr.12998

Clinical features of pediatric autoimmune hepatitis in Japan: A nationwide survey

2017· article· en· W2767426571 on OpenAlexfundno aff
Tsuyoshi Sogo, Atsushi Takahashi, Ayano Inui, Tomoo Fujisawa, Hiromasa Ohira, Hajime Takikawa

Bibliographic record

VenueHepatology Research · 2017
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
FundersMinistry of Health, Labour and WelfareAlberta Innovates - Health Solutions
KeywordsMedicineAutoimmune hepatitisHepatitisInternal medicineJaundicePediatricsCirrhosisFulminant hepatitisGastroenterology

Abstract

fetched live from OpenAlex

AIM: The purpose of this study was to determine the characteristics of children with autoimmune hepatitis (AIH) in Japan. METHODS: Questionnaires that asked about patients newly diagnosed with AIH from 2009 to 2013 were sent to hospitals certified as training facilities for pediatrics in January 2015. RESULTS: A total of 35 patients were enrolled. The median age at diagnosis was 10 years (range, 3 months-15 years), and the male-to-female ratio was 2:3. Female patients were more prevalent among those older than 10 years and male patients were more prevalent in those younger than 10 years. Fifteen patients had jaundice as a subjective symptom, and 5 had hepatic coma grade II. Liver histology classified 20 as chronic hepatitis, 8 as acute hepatitis, and 4 as cirrhosis. Liver histology was not described in 4 patients. Among the 35 patients, 32 were treated with corticosteroids and 29 were initially treated with methylprednisolone pulse therapy. Corticosteroid therapy was effective in 27 patients and ineffective in 1 patient. Plasma exchange with continuous i.v. infusion of cyclosporine A was given to 7 patients with acute hepatitis. Of these, 4 patients presented with fulminant hepatitis and received high-flow, continuous hemodiafiltration. CONCLUSIONS: This survey clarified that the clinical profile of pediatric AIH in Japan is not only different from that of adult AIH in Japan but is also different from that of pediatric AIH in other countries.

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)0.004
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.192
GPT teacher head0.485
Teacher spread0.294 · 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 designObservational
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

Citations15
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueHepatology ResearchSame topicLiver Diseases and ImmunityFrench-language works237,207