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Record W2767268527 · doi:10.2147/ceg.s105872

Primary sclerosing cholangitis: diagnostic and management challenges

2017· review· en· W2767268527 on OpenAlexaff
Sanjeev Sirpal, Natasha Chandok

Bibliographic record

VenueClinical and Experimental Gastroenterology · 2017
Typereview
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsWestern UniversityCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMedicinePrimary sclerosing cholangitisLiver transplantationAsymptomaticCholestasisInflammatory bowel diseaseDiseaseObeticholic acidGastroenterologyInternal medicineTransplantation

Abstract

fetched live from OpenAlex

Primary sclerosing cholangitis (PSC) is a chronic immune-mediated disease affecting intra- and extrahepatic bile ducts, primarily the large biliary ducts. Clinical manifestations are broad, and the spectrum encompasses asymptomatic cholestasis, icteric cholangitis with pruritis, cirrhosis, and cholangiocarcinoma. Though rare, PSC has a propensity to affect young to middle-aged males and is strongly associated with inflammatory bowel disease. There is an unmet need for effective medical treatments for PSC, and to date, the only curative therapy is liver transplantation reserved for those with end-stage liver disease. This article addresses the diagnostic and management challenges of PSC, with a succinct analysis of existing therapies, their limitations, and a glimpse into the future of the management of this multifaceted pathologic entity.

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)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.003
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 head0.222
GPT teacher head0.439
Teacher spread0.217 · 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
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

Citations51
Published2017
Admission routes1
Has abstractyes

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