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Record W4318000908 · doi:10.33590/emjhepatol/10166227

Holistic Patient Care in Primary Biliary Cholangitis: Managing Both the Disease and the Symptoms

2022· article· en· W4318000908 on OpenAlexaboutno aff
Eleanor Roberts

Bibliographic record

VenueEMJ Hepatology · 2022
Typearticle
Languageen
FieldMedicine
TopicLiver Diseases and Immunity
Canadian institutionsnot available
FundersIpsenIntercept PharmaceuticalsNational Institute for Health and Care ExcellenceGlaxoSmithKline
KeywordsMedicineNewcastle upon tyneUrsodeoxycholic acidPrimary biliary cirrhosisInternal medicineQuality of life (healthcare)Liver diseaseDiseaseGastroenterologyNursing

Abstract

fetched live from OpenAlex

In the progressive, immune-mediated liver disease primary biliary cholangitis (PBC), the intrahepatic bile ducts are gradually destroyed over several years. The primary biochemical means to diagnose PBC, and assess progression and treatment response, is serum alkaline phosphatase (ALP). Further diagnostic criteria depend on antimitochondrial antibody (AMA) and specific antinuclear antibody status, and histological confirmation in some patients. First-line therapy for PBC is ursodeoxycholic acid (UDCA), which has been shown to improve biochemical indices of PBC and slow disease progression. However, major quality of life (QoL)-impacting symptoms of PBC, including pruritus and fatigue, are demonstrated to be independent of disease severity. There is evidence confirming that these symptoms negatively impact a number of aspects, including emotional status, ability to work, and social life, for some patients. In a symposium as part of the European Association for the Study of the Liver (EASL) International Liver Congress™ (ILC) 2022, Gideon Hirschfield, Toronto Centre for Liver Disease, University of Toronto, Ontario, Canada; Ana Lleo, Humanitas University and Humanitas Clinical and Research Centre, Milan, Italy; and David Jones, Newcastle University and Newcastle-upon-Tyne Hospitals NHS Foundation Trust, UK, discussed the holistic treatment of patients with PBC and whether goals of such should be more or equally dependent on biochemical status or impact on QoL. This discussion was expanded on in a session moderated by Jessica K. Dyson, Newcastle University and Newcastle-upon-Tyne Hospitals NHS Foundation Trust, UK.

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)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0030.004
Open science0.0010.007
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0030.001

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 head0.234
Teacher spread0.225 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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