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Record W3005159857 · doi:10.1002/9781119532637.ch13

Recurrent Autoimmune Liver Disease and Its Impact on Clinical Practice

2020· other· en· W3005159857 on OpenAlexaff
Carlos Moctezuma‐Velázquez, Aldo J. Montaño‐Loza

Bibliographic record

Venuenot available
Typeother
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsUniversity of Alberta HospitalAlberta Hospital Edmonton
Fundersnot available
KeywordsMedicineAutoimmune hepatitisPrimary sclerosing cholangitisLiver transplantationAutoantibodyGastroenterologyInternal medicineHepatitisDiseaseAntibodyPathologyImmunologyTransplantation

Abstract

fetched live from OpenAlex

Autoimmune liver diseases (ALIDs) primary biliary cholangitis (PBC), primary sclerosing cholangitis (PSC) and autoimmune hepatitis (AIH) recur after liver transplantation (LT). This chapter reviews indications for LT in patients with AILD, and the frequency and clinical impact of recurrent AILD after LT. Recurrent PBC is diagnosed on the basis of liver histology and may be seen with normal liver tests; antimitochondrial antibodies recur irrespective of histologic recurrence. Recurrent PSC is usually diagnosed on the basis of the demonstration of multiple nonanastomotic strictures in the absence of other risk factors. Recurrent AIH may occur and is diagnosed on the basis of characteristic autoantibodies and liver histology. Recurrence of AILDs reduces odds of graft and patient survival, and management strategies are needed to prevent AILD recurrence or reduce its negative effects.

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)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.057
GPT teacher head0.410
Teacher spread0.353 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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