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Record W2598568535 · doi:10.5946/ce.2017.046

Endoscopic Ultrasound-Guided Pancreatic Duct Intervention

2017· review· en· W2598568535 on OpenAlexaff
Yuto Shimamura, Jeffrey D. Mosko, Christopher Teshima, Gary R. May

Bibliographic record

VenueClinical Endoscopy · 2017
Typereview
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineEndoscopic retrograde cholangiopancreatographyEndoscopic ultrasoundPancreatic ductPercutaneousRadiologyBiliary drainagePancreasBile ductDuct (anatomy)SurgeryGeneral surgeryPancreatitisInternal medicine

Abstract

fetched live from OpenAlex

Endoscopic ultrasound-guided pancreatic duct intervention (EUS-PDI) is an emerging endoscopic approach allowing access and intervention to the pancreatic duct (PD) for patients with failed endoscopic retrograde pancreatography (ERP) or patients with surgically altered anatomy. As opposed to biliary drainage for which percutaneous drainage is an alternative following failed endoscopic retrograde cholangiopancreatography (ERCP), the treatment options after failed ERP are very limited. Therefore, endoscopic ultrasound (EUS)-guided access to the PD and options for subsequent drainage may play an important role as an alternative to surgical intervention. However, this approach is technically demanding with a high risk of complications, and should only be performed by highly experienced endoscopists. In this review, we describe an overview of the current endoscopic approaches, basic technical tips, and outcomes using these procedures.

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)0.001
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.370
GPT teacher head0.578
Teacher spread0.208 · 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

Citations18
Published2017
Admission routes1
Has abstractyes

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