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Record W2623602532 · doi:10.1097/sla.0000000000002327

Characterization and Optimal Management of High-risk Pancreatic Anastomoses During Pancreatoduodenectomy

2017· article· en· W2623602532 on OpenAlexaff
Brett L. Ecker, Matthew T. McMillan, Horacio J. Asbun, Chad G. Ball, Claudio Bassi, Joal D. Beane, Stephen W. Behrman, Adam C. Berger, Euan J. Dickson, Mark Bloomston, Mark P. Callery, John D. Christein, Elijah Dixon, Jeffrey A. Drebin, Carlos Fernández-del Castillo, William E. Fisher, Zhi Ven Fong, Ericka Haverick, Robert H. Hollis, Michael G. House, Steven J. Hughes, Nigel B. Jamieson, Ammar A. Javed, Tara S. Kent, Stacy J. Kowalsky, John W. Kunstman, Giuseppe Malleo, Katherine E. Poruk, Ronald R. Salem, Carl Schmidt, Kevin C. Soares, John Stauffer, Vicente Valero, Lavanniya K. P. Velu, Amarra A. Watkins, Christopher L. Wolfgang, Amer H. Zureikat, Charles M. Vollmer

Bibliographic record

VenueAnnals of Surgery · 2017
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsUniversity of Calgary
FundersPancreatic Cancer UK
KeywordsMedicinePancreatic fistulaPropensity score matchingPancreaticoduodenectomyAnastomosisOctreotideOdds ratioFistulaConfidence intervalSurgeryStentInternal medicineSomatostatinPancreasResection

Abstract

fetched live from OpenAlex

OBJECTIVE: The aim of this study was to identify the optimal fistula mitigation strategy following pancreaticoduodenectomy. BACKGROUND: The utility of technical strategies to prevent clinically relevant postoperative pancreatic fistula (CR-POPF) following pancreatoduodenectomy (PD) may vary by the circumstances of the anastomosis. The Fistula Risk Score (FRS) identifies a distinct high-risk cohort (FRS 7 to 10) that demonstrates substantially worse clinical outcomes. The value of various fistula mitigation strategies in these particular high-stakes cases has not been previously explored. METHODS: This multinational study included 5323 PDs performed by 62 surgeons at 17 institutions. Mitigation strategies, including both technique related (ie, pancreatogastrostomy reconstruction; dunking; tissue patches) and the use of adjuvant strategies (ie, intraperitoneal drains; anastomotic stents; prophylactic octreotide; tissue sealants), were evaluated using multivariable regression analysis and propensity score matching. RESULTS: A total of 522 (9.8%) PDs met high-risk FRS criteria, with an observed CR-POPF rate of 29.1%. Pancreatogastrostomy, prophylactic octreotide, and omission of externalized stents were each associated with an increased rate of CR-POPF (all P < 0.001). In a multivariable model accounting for patient, surgeon, and institutional characteristics, the use of external stents [odds ratio (OR) 0.45, 95% confidence interval (95% CI) 0.25-0.81] and the omission of prophylactic octreotide (OR 0.49, 95% CI 0.30-0.78) were independently associated with decreased CR-POPF occurrence. In the propensity score matched cohort, an "optimal" mitigation strategy (ie, externalized stent and no prophylactic octreotide) was associated with a reduced rate of CR-POPF (13.2% vs 33.5%, P < 0.001). CONCLUSIONS: The scenarios identified by the high-risk FRS zone represent challenging anastomoses associated with markedly elevated rates of fistula. Externalized stents and omission of prophylactic octreotide, in the setting of intraperitoneal drainage and pancreaticojejunostomy reconstruction, provides optimal outcomes.

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 score0.022
Threshold uncertainty score0.427

Codex and Gemma teacher scores by category

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

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 head0.128
GPT teacher head0.366
Teacher spread0.237 · 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

Citations165
Published2017
Admission routes1
Has abstractyes

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