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Record W4415820121 · doi:10.3390/curroncol32110608

Endoscopic Stenting for Unresectable Malignant Hilar Biliary Obstruction: Where Do We Stand Today? A Narrative Review

2025· review· en· W4415820121 on OpenAlexvenueno aff
Tadahisa Inoue, Itaru Naitoh, Michihiro Yoshida, Fumihiro Okumura

Bibliographic record

VenueCurrent Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsEndoscopic stentingStentNarrative reviewBiliary drainageReview articlePalliative careBiliary stent

Abstract

fetched live from OpenAlex

Malignant hilar biliary obstruction (MHBO) is a complex clinical condition commonly observed in individuals with advanced cholangiocarcinoma and other hepatobiliary malignancies. Endoscopic stenting remains the primary palliative intervention for unresectable cases; however, the optimal strategy has not been clearly defined owing to the anatomical intricacies of the hilar region and the heterogeneity of disease presentation. This narrative review summarizes current evidence and ongoing debates on functional liver volume-based drainage, unilateral versus bilateral stenting, stent type selection, and above-the-papilla approaches. In addition, we highlight recent progress in endoscopic ultrasound-guided biliary drainage as a promising alternative or complementary approach when conventional transpapillary drainage proves inadequate. With recent advances in systemic therapies, including immunotherapy, patient survival has improved, underscoring the need for durable, reintervention-friendly stent strategies. Although uncovered metal stents have long been regarded as the standard for unresectable cases, their limitations in reintervention have prompted renewed consideration of both stent type and drainage technique. Robust prospective studies remain essential to establish standardized, evidence-based guidelines that optimize patient benefit and improve long-term outcomes in unresectable MHBO.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.105
GPT teacher head0.435
Teacher spread0.330 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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