Development and external validation of a clinical prediction model to aid coeliac disease diagnosis in primary care: An observational study

Accepted/In Press date: 21 March 2022

e-pub ahead of print date: 7 April 2022

Published date: 7 April 2022

Additional Information: Funding Information: All authors report funding from the National Institute for Health Research (NIHR) Health Technology Assessment Programme grant (NIHR129020). This publication presents independent research funded by the NIHR. The views expressed in this article are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care. Sue Mallett receives funding from the NIHR UCL/UCLH Biomedical Research Centre. Funding Information: This study will be published as a chapter in the Health Technology Assessment journal series as part of a larger project on improving case finding for CD. We thank Jo Stubbs and Debbie Lane for their feedback from a patient perspective at the study design stage. We would also like to thank James McKernon and Tim Jones for extracting the CPRD data and performing case-control matching. This research was also supported by the National Institute for Health Research (NIHR) Applied Research Collaboration West (NIHR ARC West). Funding Information: National Institute for Health Research Health Technology Assessment Programme (grant number NIHR129020). Funding Information: This study will be published as a chapter in the Health Technology Assessment journal series as part of a larger project on improving case finding for CD. We thank Jo Stubbs and Debbie Lane for their feedback from a patient perspective at the study design stage. We would also like to thank James McKernon and Tim Jones for extracting the CPRD data and performing case-control matching. This research was also supported by the National Institute for Health Research (NIHR) Applied Research Collaboration West (NIHR ARC West). National Institute for Health Research Health Technology Assessment Programme (grant number NIHR129020). PW conceptualised the project and obtained funding together with ME, HE, PG, AH, HJ, DL, SM, GR, JS, and JW. ME drafted and all authors commented on the ISAC protocol. ME, ROD, JW, AH, and HE developed medical code lists. ME, PW, HJ and SM designed the statistical analysis plan. HE, PG, AH, GR, and JW provided clinical perspectives and context. ME performed the analysis supervised by PW, SM, and HJ. ME and JJ verified the underlying data. ME drafted the initial manuscript. All authors reviewed the manuscript, had access to the aggregated data in the study, and accept responsibility to submit for publication. The statistical analysis plan has been published online (osf.io/q5gyc/). The code list for the predictors developed for the analysis are available upon request to the corresponding author. We used anonymised data on individual patients provided by CPRD. Only the authors have had access to the data during the study in accordance with the relevant licence agreements. However, the relevant data can be obtained directly from CPRD (https://www.cprd.com/). Publisher Copyright: © 2022 The Authors

Keywords: CPRD, Clinical prediction rule, Coeliac disease, Prediction model

Local EPrints ID: 467360

URI: http://eprints.soton.ac.uk/id/eprint/467360

DOI: doi:10.1016/j.eclinm.2022.101376

ISSN: 2589-5370

PURE UUID: 149185c2-b763-42c6-8167-0124e91848cf

ORCID for Hazel Everitt: orcid.org/0000-0001-7362-8403

Date deposited: 07 Jul 2022 16:50

Last modified: 23 Mar 2024 02:37