MétaCan
Menu
Back to cohort

Spatulated end‐to‐end bile duct reconstruction in orthotopic liver transplantation

2007· article· en· W2016797560 on OpenAlexaff
Andrzej K. Buczkowski, David F. Schaeffer, Peter T. W. Kim, Stephen Ho, Eric M. Yoshida, Urs P. Steinbrecher, Siegfried R. Erb, Stephen W. Chung, Charles H. Scudamore

Bibliographic record

VenueClinical Transplantation · 2007
Typearticle
Languageen
FieldMedicine
TopicOrgan Transplantation Techniques and Outcomes
Canadian institutionsVancouver Native Health SocietyUniversity of British Columbia
Fundersnot available
KeywordsMedicineEndoscopic retrograde cholangiopancreatographyBile ductLiver transplantationGastroenterologySurgeryTransplantationInternal medicinePancreatitis

Abstract

fetched live from OpenAlex

Biliary complications continue to be a major source of morbidity following orthotopic liver transplantation. The aim of this study was to analyze the incidence and management of biliary complications related to the technique of bile duct reconstruction. The patients were stratified into two groups: group I (n = 39) had bile duct reconstruction performed by an end-to-end single interrupted suture choledochocholedochostomy (EE-CDCD) and group II (n = 38) had a spatulated end-to-end CDCD (spEE-CDCD) reconstruction; both groups had an intraductal stent. The groups were similar in age, gender, liver transplant indications and Pugh score. Ten biliary complications (26%), including five bile leaks (13%) and five biliary strictures (13%), were observed in the EE-CDCD group, while one biliary stricture (2.6%) occurred in the spEE-CDCD group (p < 0.05). Subsequent imaging studies and endoscopic retrograde cholangiopancreatography were performed less often in patients undergoing spEE-CDCD reconstruction (p < 0.05). The technique of a spatulated end-to-end bile duct reconstruction provides a significant improvement in lowering biliary complication rates in liver transplant patients. Despite the modest number of cases in this study this technique shows promise and has become the technique of choice in our institution.

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)0.000
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 score0.160
Threshold uncertainty score0.921

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.044
GPT teacher head0.369
Teacher spread0.326 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueClinical TransplantationSame topicOrgan Transplantation Techniques and OutcomesFrench-language works237,207