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Record W4416149870 · doi:10.1001/jamasurg.2025.4941

International Reference Values for Surgical Outcomes of Total Pancreatectomy

2025· article· en· W4416149870 on OpenAlexaff
Philip C. Müller, Caroline Berchtold, Christoph Kuemmerli, Eva Breuer, Zhihao Li, Alessia Vallorani, Carsten Palnæs Hansen, Cristiano Guidetti, Janina Eden, Brady A. Campbell, Pengfei Wu, Hallbera Gudmundsdottir, Michael L. Kendrick, Patrick Starlinger, Nicolò Pecorelli, Giovanni Guarneri, Waqas Farooqui, Christoph Tschuor, Stefan Kobbelgaard Burgdorf, Julia Mühlhäusser, Jörn‐Markus Gass, Brian K. P. Goh, Ye-Xin Koh, Artur Rebelo, Jörg Kleeff, Tomas Seip, Martín de Santibañes, Letizia Todeschini, Giovanni Marchegiani, Nadiya Belfil, Mickaël Lesurtel, Marcel Autran C. Machado, Ugo Boggi, Emanuele F. Kauffmann, Marie Cappelle, Bas Groot Koerkamp, Fabrizio Di Benedetto, Keith Roberts, Avinoam Nevler, Harish Lavu, Philipp Dutkowski, Felix Nickel, Thilo Hackert, Jing He, Massimo Falconi, Mark J. Truty, Adrian T. Billeter, Beat P. Müller‐Stich, James Halle‐Smith, Valentina Valle, Pier Cristoforo Giulianotti, Fabio Giannone, Patrick Pessaux, Patricia Sánchez‐Velázquez, Prabin Thapa, Dhiresh Kumar Maharjan, Orlando Jorge Martins Torres, Matta Kuzman, Sanjay Pandanaboyana

Bibliographic record

VenueJAMA Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPancreas Centre (Canada)
Fundersnot available
KeywordsPerioperativeTotal pancreatectomyReference valuesPancreatectomyMEDLINERetrospective cohort study

Abstract

fetched live from OpenAlex

Importance: Total pancreatectomy (TP) is indicated for advanced pancreatic cancer or multifocal tumors. Furthermore, TP may be performed to avoid the risk of pancreatic fistula in selected patients to improve the perioperative risk profile. Objective: To define reference values for TP based on a low-risk cohort treated at expert centers. Design, Setting, and Participants: This multicenter study analyzed outcomes from patients undergoing primary TP for malignant or benign lesions from 25 international expert centers from January 2017 to November 2023. Low-risk patients undergoing TP (LR-TP) were without vascular resections or significant comorbidities. Exposures: TP. Main Outcomes and Measures: Twenty reference values were derived from the 75th or the 25th percentile of the median values of all centers. Outcomes of LR-TP were compared with a cohort of TP with vascular resection, TP due to high-risk pancreatic anastomosis, and the benchmark values for low-risk pancreatoduodenectomy. Results: Of 994 patients, 333 (33.5%; median [IQR] age, 66 [58-72] years; 171 male [51.4%]) qualified as the LR-TP cohort. Reference values included blood loss (≤1000 mL), major complications (≤37%), 3-month postoperative mortality (<6%), and retrieved lymph nodes (≥29). Compared with TP with vascular resections, reference cutoffs were not met for major complications (51% vs LR-TP ≤37%) and 90-day mortality (11% vs LR-TP ≤6%). For TP due to high-risk anastomosis, failure to rescue rate (38% vs ≤6%) and 90-day mortality (11% vs LR-TP ≤6%) were not met. Compared with pancreatoduodenectomy, reference values for postoperative mortality were 3 times higher for LR-TP (≤2% vs ≤6%) and less for resected lymph nodes (≥16 vs ≥29). Conclusions and Relevance: This case-control study provided global reference values for TP, indicating significantly higher postoperative morbidity and mortality compared with pancreatoduodenectomy. Perioperative morbidity of TP was especially increased in patients with vascular resections. These reference values can serve for quality control of pancreatic surgery.

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)0.008
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.005
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.054
GPT teacher head0.388
Teacher spread0.334 · 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 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".

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Citations5
Published2025
Admission routes1
Has abstractyes

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