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Record W4412045416 · doi:10.14740/gr2046

Endoscopic Biliary Drainage in Malignant Biliary Strictures: A Prospective Analysis Based on Real-World Data

2025· article· en· W4412045416 on OpenAlexvenueno aff
Julio Zúñiga Cisneros, A. K. McKenzie, I Corro Ramos, Eric Ortiz, Orlando Quiros, Calixto Duarte-Chang, Carlos Tunon

Bibliographic record

VenueGastroenterology Research · 2025
Typearticle
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBiliary drainageProspective cohort studyBiliary tractGastroenterologyInternal medicineRadiologyGeneral surgery

Abstract

fetched live from OpenAlex

Background: Endoscopic biliary drainage has emerged as the standard treatment for palliative drainage in malignant biliary strictures (MBS). Methods: This prospective study aimed to investigate the outcomes of patients diagnosed with MBS who underwent biliary drainage through endoscopic retrograde cholangiopancreatography (ERCP) at Complejo Hospitalario Metropolitano. The primary goals were to evaluate the stent dysfunction (SD) and mortality over a 12-month follow-up period. We evaluated the technical and functional deployment success rates according to the stricture location and type of stent used. Results: Out of 191 patients screened, 147 were eligible for inclusion. Distal strictures exhibited significantly higher technical (96.3%) and functional (75.8%) success deployment rates compared to hilar strictures (32.4% technical, 58.8% functional). The overall incidence of SD reached 46.9%, while mortality was 43.5%. Notably, complications varied by stricture type, with bacteremia predominating in hilar stricture cases. Conclusion: The findings from our prospective study affirm a commendably high rate of successful endoscopic stenting interventions along with a lower incidence of adverse events in patients suffering from MBS. Conversely, it is imperative to acknowledge that the endoscopic management of malignant hilar strictures necessitates a more individualized approach due to the elevated complication rates and increased likelihood of SD observed in our study.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.391
Teacher spread0.338 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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