Evidence map›Paper›PMID 41731144›Full record

ArticleSurgical endoscopy2026

Prediction of delayed bleeding after endoscopic submucosal dissection in early gastric cancer and precancerous lesions by BEST-C score.

Kaier Gu, Tianer Gu, Wei Xie, Han Bu, Tianhao Weng, Juzeng Zheng, Sisi Jin, Yang Liu

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Article in Surgical endoscopy, 2026. 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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5 · Who and what money

Authors and funding

8 authors.

Kaier GuDepartment of Internal Medicine, Shaoxing Maternity and Child Health Care Hospital, Shaoxing, Zhejiang, China.
Tianer GuSecond Sanatorium of Air Force Healthcare Center for Special Services, Hangzhou, Zhejiang, China.
Wei XieDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Han BuDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Tianhao WengDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Juzeng ZhengDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Sisi JinDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China.
Yang LiuDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. liuyangmd@163.com.ORCID http://orcid.org/0009-0002-7923-5584

Funding

Wenzhou Municipal Science and Technology Bureau Y20220365
6 · The paper itself

Abstract

backgroundDelayed bleeding is a serious complication after endoscopic submucosal dissection (ESD) for early gastric cancer and precancerous lesions. Existing prediction models predominantly rely on pre-procedural factors, such as antithrombotic therapy (ATT), and overlook critical intraoperative variables. This study aimed to develop and validate a novel, procedure-centered risk model that integrates these intraoperative variables to improve predictive performance.

methodsIn this retrospective, single-center study, we enrolled 1523 patients undergoing gastric ESD (January 2018 to September 2025). The primary outcome was delayed post-ESD bleeding. We focused on variables available before or immediately after ESD. Independent risk factors were identified via multivariate logistic regression to construct the Bleeding after ESD Trend from China (BEST-C) score. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration, and decision curve analysis, with internal validation via bootstrapping. Its discriminative ability was directly compared with two established models (BEST-J and BEST-FH).

resultsDelayed bleeding occurred in 52 patients (3.4%). Multivariate analysis revealed that dual-ATT interruption, intraoperative bleeding, and the interaction between intraoperative bleeding and muscular layer injury were independent risk factors, whereas the use of hemostatic clips was identified as a protective factor. The BEST-C model demonstrated excellent discrimination (AUC = 0.868) and calibration, significantly outperforming the BEST-J and BEST-FH scores (AUC difference 0.321, P < 0.001). The derived integer score effectively stratified patients into low- (bleeding rate 1.0%), intermediate- (11.6%), and high-risk (88.2%) groups.

conclusionThe BEST-C score, which uniquely incorporates critical intraoperative variables, most notably a key interaction term, provides a robust tool, centered on intraoperative factors, for immediate post-ESD risk stratification of delayed bleeding after gastric ESD. It demonstrates superior predictive performance to existing models and shows promising clinical utility.

Indexed as

Endoscopic Mucosal ResectionPostoperative HemorrhagePrecancerous ConditionsStomach NeoplasmsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsDelayed bleedingEndoscopic submucosal dissectionGastric precancerous lesionsHemostatic clipsIntraoperative bleedingPrediction model

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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.