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The Value of Risk Scores to Predict Clinical Outcomes in Patients with Variceal and Non-Variceal Upper Gastrointestinal Bleeding.

作者信息

Lau James Yun-Wong

机构信息

Department of Surgery, The Chinese University of Hong Kong, Shatin, Hong Kong.

出版信息

Clin Endosc. 2021 Mar;54(2):145-146. doi: 10.5946/ce.2021.077. Epub 2021 Mar 25.

DOI:10.5946/ce.2021.077
PMID:33765375
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8039734/
Abstract
摘要

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本文引用的文献

1
Prospective Comparison of the AIMS65 Score, Glasgow-Blatchford Score, and Rockall Score for Predicting Clinical Outcomes in Patients with Variceal and Nonvariceal Upper Gastrointestinal Bleeding.AIMS65评分、格拉斯哥-布拉奇福德评分和罗卡尔评分对静脉曲张性和非静脉曲张性上消化道出血患者临床结局预测的前瞻性比较
Clin Endosc. 2021 Mar;54(2):211-221. doi: 10.5946/ce.2020.068. Epub 2020 Jul 16.
2
British Society of Gastroenterology (BSG)-led multisociety consensus care bundle for the early clinical management of acute upper gastrointestinal bleeding.由英国胃肠病学会（BSG）牵头的多学会急性上消化道出血早期临床管理共识治疗包。
Frontline Gastroenterol. 2020 Mar 27;11(4):311-323. doi: 10.1136/flgastro-2019-101395. eCollection 2020.
3
Management of Nonvariceal Upper Gastrointestinal Bleeding: Guideline Recommendations From the International Consensus Group.非静脉曲张性上消化道出血的管理：国际共识组的指南推荐。
Ann Intern Med. 2019 Dec 3;171(11):805-822. doi: 10.7326/M19-1795. Epub 2019 Oct 22.
4
Validation of a Machine Learning Model That Outperforms Clinical Risk Scoring Systems for Upper Gastrointestinal Bleeding.机器学习模型对上消化道出血的预测能力优于临床风险评分系统的验证。
Gastroenterology. 2020 Jan;158(1):160-167. doi: 10.1053/j.gastro.2019.09.009. Epub 2019 Sep 25.
5
Comparison of risk scoring systems for patients presenting with upper gastrointestinal bleeding: international multicentre prospective study.上消化道出血患者风险评分系统的比较：国际多中心前瞻性研究
BMJ. 2017 Jan 4;356:i6432. doi: 10.1136/bmj.i6432.
6
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.透明报告个体预后或诊断的多变量预测模型（TRIPOD）：解释和说明。
Ann Intern Med. 2015 Jan 6;162(1):W1-73. doi: 10.7326/M14-0698.