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Review article: the modern management of autoimmune hepatitis

2010· review· en· W1533676538 on OpenAlexfundno aff
Maria Serena Longhi, Michael A. Heneghan

Bibliographic record

VenueAlimentary Pharmacology & Therapeutics · 2010
Typereview
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
FundersAlberta Innovates - Health Solutions
KeywordsMedicineAutoimmune hepatitisAzathioprineIntensive care medicineLiver transplantationDiseaseCirrhosisTacrolimusHepatocellular carcinomaClinical trialHepatitisTransplantationImmunologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The management of autoimmune hepatitis (AIH) continues to be refined. However, several issues remain unresolved, primarily as a consequence of the low incidence of the disease. This factor has contributed both to a lack of understanding of and a paucity of large scale clinical trials involving therapeutic agents. AIM: To summarize the latest evidence regarding the pathogenesis, diagnosis, therapy and long-term management of AIH with a focus on clinical aspects of the disease. METHOD: We searched PUBMED for articles pertaining to AIH, its pathogenesis, treatment and clinical outcomes, combined with the authors' own knowledge of the literature. RESULTS: Standard therapy (corticosteroids and azathioprine) is effective in more than 80% of patients which renders study of novel agents difficult. Budesonide appears to show equivalence to prednisolone. Available, but limited, data suggest that mycophenolate mofetil, tacrolimus and ciclosporin are all variably effective second line agents. Patients with AIH and cirrhosis are at risk of hepatocellular carcinoma (HCC) and require screening. Patients with end stage liver disease represent excellent candidates for liver transplantation. CONCLUSIONS: Despite ongoing limitations in the understanding of pathogenesis and difficulties in evaluating novel therapies, the management of AIH continues to evolve slowly. Multi-centre collaboration is necessary to obtain sufficient patient numbers to undertake good quality therapeutic studies.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.395
Teacher spread0.331 · 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 designOther design
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

Citations57
Published2010
Admission routes1
Has abstractyes

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