{"title":"Preoperative gastric retention in endoscopic retrograde cholangiopancreatography patients: Assessing risks and optimizing outcomes.","authors":"Nuo-Ya Zhou, Bing Hu","doi":"10.4240/wjgs.v16.i12.3655","DOIUrl":null,"url":null,"abstract":"<p><p>This article is a comment on the article by Jia <i>et al</i>, aiming at establishing a predictive model to predict the occurrence of preoperative gastric retention in endoscopic retrograde cholangiopancreatography preparation. We share our perspectives on this predictive model. First, further differentiation in predicting the severity of gastric retention could enhance clinical outcomes. Second, we ponder whether this predictive model can be generalized to predictions of gastric retention before various endoscopic procedures. Third, large datasets and prospective clinical validation are needed to improve the prediction model.</p>","PeriodicalId":23759,"journal":{"name":"World Journal of Gastrointestinal Surgery","volume":"16 12","pages":"3655-3657"},"PeriodicalIF":1.8000,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11650241/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Journal of Gastrointestinal Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.4240/wjgs.v16.i12.3655","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/27 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This article is a comment on the article by Jia et al, aiming at establishing a predictive model to predict the occurrence of preoperative gastric retention in endoscopic retrograde cholangiopancreatography preparation. We share our perspectives on this predictive model. First, further differentiation in predicting the severity of gastric retention could enhance clinical outcomes. Second, we ponder whether this predictive model can be generalized to predictions of gastric retention before various endoscopic procedures. Third, large datasets and prospective clinical validation are needed to improve the prediction model.