Literature DB >> 34686576

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

Ryan William Stidham1,2, Andrew Vickers3, Karandeep Singh4, Akbar K Waljee5,6.   

Abstract

Entities:  

Keywords:  Crohn's disease; clinical decision making; clinical trials; decision analysis; inflammatory bowel disease

Mesh：

Year:  2021        PMID： 34686576      PMCID： PMC9023586          DOI： 10.1136/gutjnl-2021-324712

Source DB:  PubMed          Journal:  Gut        ISSN： 0017-5749            Impact factor:   31.793


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  8 in total

1.  Making Machine Learning Models Clinically Useful.

Authors:  Nigam H Shah; Arnold Milstein; Steven C Bagley PhD
Journal:  JAMA       Date:  2019-10-08       Impact factor: 56.272

Review 2.  Endoscopic scoring indices for evaluation of disease activity in Crohn's disease.

Authors:  Reena Khanna; Sigrid A Nelson; Brian G Feagan; Geert D'Haens; William J Sandborn; G Y Zou; John K MacDonald; Claire E Parker; Vipul Jairath; Barrett G Levesque
Journal:  Cochrane Database Syst Rev       Date:  2016-08-08

3.  Predicting endoscopic remission in Crohn's disease by the modified multiplier SES-CD (MM-SES-CD).

Authors:  Neeraj Narula; Emily C L Wong; Jean-Frederic Colombel; William J Sandborn; John Kenneth Marshall; Marco Daperno; Walter Reinisch; Parambir S Dulai
Journal:  Gut       Date:  2021-03-25       Impact factor: 23.059

Review 4.  Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  BMJ       Date:  2015-01-07

Review 5.  Should We Divide Crohn's Disease Into Ileum-Dominant and Isolated Colonic Diseases?

Authors:  Parambir S Dulai; Siddharth Singh; Niels Vande Casteele; Brigid S Boland; Jesus Rivera-Nieves; Peter B Ernst; Lars Eckmann; Kim E Barrett; John T Chang; William J Sandborn
Journal:  Clin Gastroenterol Hepatol       Date:  2019-04-19       Impact factor: 13.576

6.  Three myths about risk thresholds for prediction models.

Authors:  Laure Wynants; Maarten van Smeden; David J McLernon; Dirk Timmerman; Ewout W Steyerberg; Ben Van Calster
Journal:  BMC Med       Date:  2019-10-25       Impact factor: 8.775

7.  Presenting machine learning model information to clinical end users with model facts labels.

Authors:  Mark P Sendak; Michael Gao; Nathan Brajer; Suresh Balu
Journal:  NPJ Digit Med       Date:  2020-03-23

8.  Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests.

Authors:  Andrew J Vickers; Ben Van Calster; Ewout W Steyerberg
Journal:  BMJ       Date:  2016-01-25
  8 in total

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