Evidence map›Paper›PMID 39672988›Full record

ArticleSurgical endoscopy2025

Predictive model for pancreatic fistula in minimally invasive surgery for gastric cancer.

Seiji Inoue, Masaya Nakauchi, Masahiro Fujita, Kazumitsu Suzuki, Yusuke Umeki, Akiko Serizawa, Shingo Akimoto, Yusuke Watanabe, Tsuyoshi Tanaka, Susumu Shibasaki and 3 more

Abstract read
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Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Seiji InoueDepartment of Surgery, Fujita Health University, Toyoake, Japan.
Masaya NakauchiDepartment of Advanced Robotic and Endoscopic Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan. naka57ma38@hotmail.com.ORCID 0000-0002-1338-8556
Masahiro FujitaDepartment of Surgery, Fujita Health University, Toyoake, Japan.
Kazumitsu SuzukiDepartment of Surgery, Fujita Health University, Toyoake, Japan.
Yusuke UmekiDepartment of Surgery, Fujita Health University, Toyoake, Japan.
Akiko SerizawaDepartment of Surgery, Fujita Health University, Toyoake, Japan.
Shingo AkimotoDepartment of Advanced Robotic and Endoscopic Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
Yusuke WatanabeDepartment of Advanced Robotic and Endoscopic Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
Tsuyoshi TanakaDepartment of Surgery, Fujita Health University, Toyoake, Japan.
Susumu ShibasakiDepartment of Surgery, Fujita Health University, Toyoake, Japan.
Kazuki InabaDepartment of Advanced Robotic and Endoscopic Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
Ichiro UyamaDepartment of Advanced Robotic and Endoscopic Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
Koichi SudaDepartment of Surgery, Fujita Health University, Toyoake, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPostoperative pancreatic fistula (POPF) is one of the potentially serious complications after gastrectomy for gastric cancer (GC). Drain amylase level is a predictor of POPF in open and laparoscopic gastrectomy, but no study has focused on minimally invasive surgery (MIS), including robotic gastrectomy (RG). This study assesses the effect of drain amylase levels for POPF in MIS and develop a prediction model in the MIS era.

methodsThis single-institutional retrospective study, conducted from January 2011 to December 2021, included 1,353 who underwent standard MIS for GC. We placed a drain in all patients undergoing MIS gastrectomy and measured the drain amylase level on the first postoperative day (D1Amy). The predictive accuracy of D1Amy for POPF was assessed. Additionally, the entire cohort was randomly categorized into the training (1,048 patients) and validation sets (305 patients) to establish the nomogram.

resultsOf the 1353 patients, 530 underwent a robotic approach. POPF and intraabdominal infectious complications of Clavien-Dindo classification grade ≥ II were observed in 80 (5.9%) and 145 (10.7%) patients, respectively. Median D1Amy was 812 U/L. The receiver operating characteristic analysis of D1Amy for POPF revealed an area under the curve (AUC) of 0.888. Multivariate analysis revealed age, tumor location, splenectomy, and D1Amy as significant risk factors for POPF. The AUC of the nomogram was 0.8960, validated with AUC of 0.9259.

conclusionsWe revealed the utility of D1Amy in predicting POPF in MIS gastrectomy. Furthermore, the nomogram, incorporating D1Amy and other clinical factors, was additionally used as a predictive model for POPF.

Indexed as

GastrectomyPancreatic FistulaPostoperative ComplicationsRobotic Surgical ProceduresStomach NeoplasmsAgedAmylasesDrainageFemaleHumansLaparoscopyMaleMiddle AgedNomogramsPredictive Value of TestsRetrospective StudiesAmylasesGastrectomyMinimally invasive surgical proceduresPancreatic fistulaRobotic surgical proceduresStomach neoplasms

Identifiers

PMID39672988

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.