{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["22(1)"],"submitter":["Wang J"],"pubmed_abstract":["<h4>Background</h4>Delayed bleeding is an important adverse event after gastric endoscopic submucosal dissection (ESD). We aimed to externally validate the Bleeding after ESD Trend from Japan (BEST-J) score and subsequently develop a risk prediction model for bleeding in Chinese patients with early gastric cancer (EGC) after ESD.<h4>Methods</h4>The clinical data of patients who underwent ESD for EGC in Beijing Friendship Hospital from June 2013 to December 2019 were collected retrospectively. The BEST-J score was evaluated according to the clinical data. Through univariate and multivariate logistic regression analyses of the clinical data, the factors affecting delayed bleeding were identified, and a new risk prediction model for bleeding was established. Receiver operating characteristic "],"journal":["BMC gastroenterology"],"pagination":["194"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9022319"],"repository":["biostudies-literature"],"pubmed_title":["External validation of the BEST-J score and a new risk prediction model for ESD delayed bleeding in patients with early gastric cancer."],"pmcid":["PMC9022319"],"pubmed_authors":["Xing J","Wu S","Li P","Zhang S","Sun X","Wang J"],"additional_accession":[]},"is_claimable":false,"name":"External validation of the BEST-J score and a new risk prediction model for ESD delayed bleeding in patients with early gastric cancer.","description":"<h4>Background</h4>Delayed bleeding is an important adverse event after gastric endoscopic submucosal dissection (ESD). We aimed to externally validate the Bleeding after ESD Trend from Japan (BEST-J) score and subsequently develop a risk prediction model for bleeding in Chinese patients with early gastric cancer (EGC) after ESD.<h4>Methods</h4>The clinical data of patients who underwent ESD for EGC in Beijing Friendship Hospital from June 2013 to December 2019 were collected retrospectively. The BEST-J score was evaluated according to the clinical data. Through univariate and multivariate logistic regression analyses of the clinical data, the factors affecting delayed bleeding were identified, and a new risk prediction model for bleeding was established. Receiver operating characteristic ","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2025-04-04T12:43:49.908Z","creation":"2024-12-03T16:04:35.349Z"},"accession":"S-EPMC9022319","cross_references":{"pubmed":["35443628"],"doi":["10.1186/s12876-022-02273-2"]}}