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From clinical trials to clinical practice: how should we design and evaluate prediction models in the care of IBD?从临床试验到临床实践：在炎症性肠病的治疗中，我们应如何设计和评估预测模型？
Gut. 2022 Jun;71(6):1046-1047. doi: 10.1136/gutjnl-2021-324712. Epub 2021 Oct 22.
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Review of Saccharomyces boulardii as a treatment option in IBD.布拉氏酵母菌在炎症性肠病治疗中的应用评价。
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Use of antibiotics in the treatment of inflammatory bowel disease.抗生素在炎症性肠病治疗中的应用。
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Finger clubbing in inflammatory bowel disease: association with upper small bowel lesions and need of surgery in Crohn's disease.炎症性肠病中的杵状指：与克罗恩病的上小肠病变和手术需求相关。
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Inflammatory bowel disease.炎症性肠病
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[Inflammatory bowel disease: an overview].[炎症性肠病：概述]
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United European Gastroenterol J. 2023 Sep;11(7):642-653. doi: 10.1002/ueg2.12369. Epub 2023 Aug 7.

本文引用的文献

1
Predicting endoscopic remission in Crohn's disease by the modified multiplier SES-CD (MM-SES-CD).通过改良的乘数SES-CD（MM-SES-CD）预测克罗恩病的内镜缓解情况。
Gut. 2022 Jun;71(6):1078-1087. doi: 10.1136/gutjnl-2020-323799. Epub 2021 Mar 25.
2
Presenting machine learning model information to clinical end users with model facts labels.通过模型事实标签向临床终端用户展示机器学习模型信息。
NPJ Digit Med. 2020 Mar 23;3:41. doi: 10.1038/s41746-020-0253-3. eCollection 2020.
3
Three myths about risk thresholds for prediction models.关于预测模型风险阈值的三个误区。
BMC Med. 2019 Oct 25;17(1):192. doi: 10.1186/s12916-019-1425-3.
4
Making Machine Learning Models Clinically Useful.让机器学习模型在临床上发挥作用。
JAMA. 2019 Oct 8;322(14):1351-1352. doi: 10.1001/jama.2019.10306.
5
Should We Divide Crohn's Disease Into Ileum-Dominant and Isolated Colonic Diseases?我们应该将克罗恩病分为以回肠为主型和孤立性结肠疾病吗？
Clin Gastroenterol Hepatol. 2019 Dec;17(13):2634-2643. doi: 10.1016/j.cgh.2019.04.040. Epub 2019 Apr 19.
6
Endoscopic scoring indices for evaluation of disease activity in Crohn's disease.用于评估克罗恩病疾病活动度的内镜评分指标。
Cochrane Database Syst Rev. 2016 Aug 8;2016(8):CD010642. doi: 10.1002/14651858.CD010642.pub2.
7
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests.用于评估预测模型、分子标志物和诊断测试的净效益方法。
BMJ. 2016 Jan 25;352:i6. doi: 10.1136/bmj.i6.
8
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.透明报告个体预后或诊断的多变量预测模型（TRIPOD）：TRIPOD 声明。
BMJ. 2015 Jan 7;350:g7594. doi: 10.1136/bmj.g7594.

From clinical trials to clinical practice: how should we design and evaluate prediction models in the care of IBD?

作者信息

Stidham Ryan William, Vickers Andrew, Singh Karandeep, Waljee Akbar K

机构信息

Division of Gastroenterology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.

Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA.

出版信息

Gut. 2022 Jun;71(6):1046-1047. doi: 10.1136/gutjnl-2021-324712. Epub 2021 Oct 22.

DOI:10.1136/gutjnl-2021-324712
PMID:34686576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9023586/
Abstract
摘要