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Record W4310812853 · doi:10.14740/jocmr4826

Primary Recurrent Common Bile Duct Stones: Timing of Surgical Intervention

2022· review· en· W4310812853 on OpenAlexvenueno aff
Subhi Mansour, Yoram Kluger, Safi Khuri

Bibliographic record

VenueJournal of Clinical Medicine Research · 2022
Typereview
Languageen
FieldMedicine
TopicGallbladder and Bile Duct Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCommon bile ductGallstonesEndoscopic retrograde cholangiopancreatographyBile ductCholecystectomyGeneral surgerySurgeryPancreatitis

Abstract

fetched live from OpenAlex

Cholelithiasis (gallstones) is a very common medical problem worldwide, with 5-30% of patients demonstrating a combined condition of cholelithiasis and choledocholithiasis (common bile duct stones (CBDS)). CBDS are usually classified as primary or secondary stones. Primary CBDS are defined as stones detected 2 years or more following cholecystectomy, while secondary stones, the most common type, usually migrate from the gallbladder to the bile ducts. Recurrent CBDS are defined as stones detected 6 months or more following endoscopic retrograde cholangiopancreatography (ERCP) with complete duct clearance. Although ERCP with endoscopic sphincterotomy has emerged as the main therapeutic option for CBDS, with up to 95% bile duct clearance rate, up to 25% of said patients develop recurrent bile duct stones. Thus far, several issues related to recurrent CBDS are still unclear and questions regarding this specific pathology have no precise answers: how many trials of ERCP and endoscopic sphincterotomy should be attempted before referring the patient for surgical management? Is there an association between risk factors and early surgical intervention? Thus, currently, there is no worldwide scientific-based consensus regarding the best management of this specific group of patients. The main issue for this article is to review the relevant English literature and find out the main high risk factors for recurrent CBDS, and form a diagnostic and treatment plan, hence, identifying the subgroup of patients that will benefit from early surgical management, preventing further ERCP-associated complications.

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)0.030
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.940
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.007
Insufficient payload (model declined to judge)0.0050.000

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 head0.542
GPT teacher head0.629
Teacher spread0.087 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

Explore more

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