Accepted Manuscript British Journal of General Practice Factors predicting statin prescribing for primary prevention: an historical cohort study Finnikin Samuel; Willis Brian; Ryan Ronan; Evans Tim; Marshall Tom DOI: https://doi.org/10.3399/bjgp20X714065 To access the most recent version of this article, please click the DOI URL in the line above. Received 08 May 2020 Revised 13 August 2020 Accepted 17 August 2020 © 2020 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License (http://creativecommons.org/licenses/by/4.0/). Published by British Journal of General Practice. For editorial process and policies, see: https: https://bjgp.org/authors/bjgp-editorial-process-and-policies When citing this article please include the DOI provided above. Author Accepted Manuscript This is an ‘author accepted manuscript’: a manuscript that has been accepted for publication in British Journal of General Practice, but which has not yet undergone subediting, typesetting, or correction. Errors discovered and corrected during this process may materially alter the content of this manuscript, and the latest published version (the Version of Record) should be used in preference to any preceding versions Factors predicting statin prescribing for primary prevention: an historical cohort study Samuel Finnikin1 MSc, MRCGP, Brian H Willis1 MSc, PhD, MRCP, MRCGP, Ronan Ryan2 MA, MSc, PhD, Tim Evans3 PhD, Tom Marshall1 MSc, PhD, MRCGP, FFPH 1. Institute of Applied Health Research, University of Birmingham, England 2. Devon, UK 3. Public Health England, London, England Corresponding Author Dr Samuel Finnikin bjgp20X714065 – Address: Institute of Applied Health Research, University of Birmingham, Edgbaston, Birmingham, England, B15 2TT Telephone: 0121 414 3344 Email:
[email protected] BJGP Twitter: @sfinnikin – Manuscript Accepted Abstract Background Initiation of statins for the primary prevention of cardiovascular disease (CVD) should be based on CVD risk estimates but their use is sub-optimal.