Evidence map›Paper›PMID 42502846›Full record

ReviewSage open pathology

Autoimmune Biliary Diseases: From Fragmented Pathways to Precision Diagnosis.

Anthony Bedran, Karim Hoyek, Doha Houcheimy, Joanna Kreidi, Angelo Chami, Serena Nabhan, Karam Karam, Khalil Bedran

Abstract readReview
In one paragraph

Review in Sage open pathology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anthony BedranDepartment of Internal Medicine, University of Balamand, Beirut, Lebanon.
Karim HoyekDepartment of Internal Medicine, Saint Joseph University, Beirut, Lebanon.
Doha HoucheimyDepartment of Internal Medicine, University of Balamand, Beirut, Lebanon.
Joanna KreidiDepartment of Internal Medicine, University of Balamand, Beirut, Lebanon.
Angelo ChamiDepartment of Internal Medicine, University of Balamand, Beirut, Lebanon.
Serena NabhanDepartment of Internal Medicine, University of Balamand, Beirut, Lebanon.
Karam KaramDepartment of Gastroenterology and Hepatology, University of Balamand, Beirut, Lebanon.ORCID https://orcid.org/0009-0001-1914-320X
Khalil BedranDepartment of Gastroenterology and Hepatology, Saint George University Medical Center, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and significance: Autoimmune biliary diseases, such as primary sclerosing cholangitis (PSC), Primary biliary cholangitis (PBC) and IgG4-related sclerosing cholangitis (IgG4-SC) are recognized as contributors to chronic cholestatic liver disease. Time-to-diagnosis remains prolonged, despite the presence of high resolution MRCP, expanded autoantibody panels and improved endoscopic tissue acquisition. This is due to the fragmented disease-specific pathways, variable marker sensitivity, overlap syndromes, malignant mimickers and in some cases early/small-duct imaging limitations. Objectives: Critically evaluate and synthesize current diagnostic modalities and propose an integrated, precision-layered, phenotype-defined, and tissue-informed diagnostic pathway that standardizes evaluation across autoimmune and immune-mediated cholangiopathies. Methods: Major society guidelines such as AASLD/EASL, key reviews and pivotal studies were used in order to extract evidence regarding autoimmune serologies, MRCP and advanced MRCP techniques, elastography/MRE for fibrosis staging and targeted endoscopic-tissue diagnostics, emphasizing on overlap phenotypes, intermediate strictures and malignancy exclusion. Results: Seronegative/atypical PBC, limited sensitivity of MRCP in early or small-duct PSC, as well as frequent misclassification of IgG4-SC as PSC; are remarkable contributors of diagnostic delay. Iterative resolution, achieved through sequential escalation from serology to non-invasive ductal mapping, selective tissue clarification and investigational molecular and AI-assisted tools such as radiomics-enhanced MRCP, molecular cytology and liquid biopsy when conventional modalities fail, all aimed to improve discrimination of overlaps and support risk-stratified surveillance. Conclusion: Diagnostic uncertainty and disease misclassification may be reduced by implementing a precision-layered, phenotype-defined, and tissue-informed diagnostic pathway. This will standardize evaluation across autoimmune biliary diseases. It is important to note that these emerging tools remain investigational and require prospective validation prior to routine clinical integration.

Indexed as

autoimmune cholestasischolangiocarcinomadiagnostic pathwayIgG4-related sclerosing cholangitisMRCPoverlap syndromeprecision diagnosisprimary biliary cholangitisprimary sclerosing cholangitisseronegative PBC

Identifiers

PMID42502846
PMCPMC13400941

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.