Frederick Torlot, Chang-Yang Yew, Jennifer R. Reilly, Michael Phillips, Dieter G. Weber, Tomas B. Corcoran, Kwok M. Ho, Andrew J. Toner
{"title":"预测术后30天死亡率的四项风险评分的外部效度","authors":"Frederick Torlot, Chang-Yang Yew, Jennifer R. Reilly, Michael Phillips, Dieter G. Weber, Tomas B. Corcoran, Kwok M. Ho, Andrew J. Toner","doi":"10.1101/2022.03.15.22272450","DOIUrl":null,"url":null,"abstract":"<strong>Background</strong> Surgical risk prediction tools can facilitate shared-decision-making and efficient allocation of perioperative resources. Such tools should be externally validated in target populations prior to implementation.","PeriodicalId":501303,"journal":{"name":"medRxiv - Anesthesia","volume":"37 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The external validity of four risk scores predicting 30-day mortality after surgery\",\"authors\":\"Frederick Torlot, Chang-Yang Yew, Jennifer R. Reilly, Michael Phillips, Dieter G. Weber, Tomas B. Corcoran, Kwok M. Ho, Andrew J. Toner\",\"doi\":\"10.1101/2022.03.15.22272450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Background</strong> Surgical risk prediction tools can facilitate shared-decision-making and efficient allocation of perioperative resources. Such tools should be externally validated in target populations prior to implementation.\",\"PeriodicalId\":501303,\"journal\":{\"name\":\"medRxiv - Anesthesia\",\"volume\":\"37 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Anesthesia\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2022.03.15.22272450\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Anesthesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2022.03.15.22272450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The external validity of four risk scores predicting 30-day mortality after surgery
Background Surgical risk prediction tools can facilitate shared-decision-making and efficient allocation of perioperative resources. Such tools should be externally validated in target populations prior to implementation.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
