<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>22(1)</volume><submitter>Wang J</submitter><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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 </pubmed_abstract><journal>BMC gastroenterology</journal><pagination>194</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9022319</full_dataset_link><repository>biostudies-literature</repository><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.</pubmed_title><pmcid>PMC9022319</pmcid><pubmed_authors>Xing J</pubmed_authors><pubmed_authors>Wu S</pubmed_authors><pubmed_authors>Li P</pubmed_authors><pubmed_authors>Zhang S</pubmed_authors><pubmed_authors>Sun X</pubmed_authors><pubmed_authors>Wang J</pubmed_authors></additional><is_claimable>false</is_claimable><name>External validation of the BEST-J score and a new risk prediction model for ESD delayed bleeding in patients with early gastric cancer.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Methods&lt;/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 </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Apr</publication><modification>2025-04-04T12:43:49.908Z</modification><creation>2024-12-03T16:04:35.349Z</creation></dates><accession>S-EPMC9022319</accession><cross_references><pubmed>35443628</pubmed><doi>10.1186/s12876-022-02273-2</doi></cross_references></HashMap>