The weighted cumulative exposure method and its application to pharmacoepidemiology: A narrative review.

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Author(s): Kelly TL;Kelly TL; Salter A; Salter A; Pratt NL; Pratt NL
  • Source:
    Pharmacoepidemiology and drug safety [Pharmacoepidemiol Drug Saf] 2024 Jan; Vol. 33 (1), pp. e5701. Date of Electronic Publication: 2023 Sep 25.
  • Publication Type:
    Journal Article; Review; Research Support, Non-U.S. Gov't
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: Wiley Country of Publication: England NLM ID: 9208369 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1099-1557 (Electronic) Linking ISSN: 10538569 NLM ISO Abbreviation: Pharmacoepidemiol Drug Saf Subsets: MEDLINE
    • Publication Information:
      Original Publication: Chichester, West Sussex : Wiley, 1992-
    • Subject Terms:
    • Abstract:
      Purpose: The weighted cumulative exposure (WCE) method has been used in a number of fields including pharmacoepidemiology where it can account for intensity, duration and timing of exposures on the risk of an outcome. The method uses a data driven approach with flexible cubic B-splines to assign weights to past doses and select an aetiologically appropriate time window. Predictions of risk are possible for common exposure patterns encountered in real-world studies. The purpose of this study was to describe applications of the WCE method to pharmacoepidemiology and assess the strengths and limitations of the method.
      Method: A literature search was undertaken to find studies applying the WCE method to the study of medicines. Articles published in PubMed using the search term 'weighted cumulative exposure' and articles citing Sylvestre et al. (2009) in Google Scholar or Scopus up to March 2023 were subsequently reviewed. Articles were selected based on title and review of abstracts.
      Results: Seventeen clinical applications using the data-driven WCE method with flexible cubic splines were identified in the review. These included 3 case-control studies and 14 cohort studies, of which 12 were analysed with Cox proportional hazards models and 2 with logistic regression. Thirteen studies used time windows of 1 year or longer. Of 11 studies which compared conventional models with the WCE method, 10 (91%) studies found a better fit with WCE models while one had an equivalent fit. The freely available 'WCE' software package has facilitated the applications of the WCE method with flexible cubic splines.
      Conclusions: The WCE method allows additional insights into the effect of cumulative exposure on outcomes, including the timing and intensity (dose) of the exposure on the risk. The flexibility of the method is particularly well suited to studies with long-term exposures that vary over time or where the current risk of an event is affected by how far the exposure is in the past, which is difficult to model with conventional definitions of exposure. Interpretation of the results can be more complex than for conventional models and would be facilitated by a standardised reporting framework.
      (© 2023 The Authors. Pharmacoepidemiology and Drug Safety published by John Wiley & Sons Ltd.)
    • References:
      Am J Epidemiol. 2019 Oct 1;188(10):1794-1800. (PMID: 31269196)
      Stat Med. 1997 Mar 15;16(5):505-13. (PMID: 9089959)
      Pharmacoepidemiol Drug Saf. 2024 Jan;33(1):e5701. (PMID: 37749615)
      Rheumatology (Oxford). 2013 Jan;52(1):68-75. (PMID: 23192907)
      Stud Health Technol Inform. 2022 May 25;294:83-87. (PMID: 35612021)
      Annu Rev Public Health. 1988;9:451-82. (PMID: 3288239)
      BMC Med Res Methodol. 2022 Jun 8;22(1):166. (PMID: 35676635)
      Stat Med. 2012 May 20;31(11-12):1014-30. (PMID: 22095719)
      Stat Methods Med Res. 2022 Jun;31(6):1013-1030. (PMID: 35138206)
      Rheumatology (Oxford). 2018 Sep 1;57(9):1563-1573. (PMID: 29796624)
      BMC Med Res Methodol. 2005 Jan 25;5(1):5. (PMID: 15670334)
      Biometrics. 2000 Dec;56(4):1105-8. (PMID: 11129467)
      J Antimicrob Chemother. 2020 Aug 1;75(8):2326-2333. (PMID: 32407492)
      JAMA Neurol. 2021 Nov 1;78(11):1367-1374. (PMID: 34605857)
      Am J Epidemiol. 2022 Mar 24;191(4):626-635. (PMID: 34893792)
      BMC Med Res Methodol. 2021 Nov 27;21(1):266. (PMID: 34837966)
      Diabetes Obes Metab. 2018 Nov;20(11):2653-2660. (PMID: 29934961)
      Drug Saf. 2017 Nov;40(11):1119-1129. (PMID: 28664355)
      Arthritis Res Ther. 2015 Aug 03;17:197. (PMID: 26235697)
      Ann Rheum Dis. 2011 Jun;70(6):990-5. (PMID: 21367762)
      Stat Methods Med Res. 2019 Jan;28(1):248-262. (PMID: 28882094)
      J Rheumatol. 2021 May;48(5):648-655. (PMID: 32801134)
      Stat Methods Med Res. 2020 Sep;29(9):2554-2568. (PMID: 32020828)
      Pharmacoepidemiol Drug Saf. 2018 Jan;27(1):69-77. (PMID: 29171096)
      Mult Scler. 2021 Oct;27(11):1760-1770. (PMID: 33403937)
      Arthritis Rheumatol. 2016 May;68(5):1089-98. (PMID: 26663814)
      BMC Med Res Methodol. 2021 Jan 9;21(1):14. (PMID: 33422006)
      Int Psychogeriatr. 2012 Apr;24(4):577-86. (PMID: 22059800)
      Am J Ind Med. 1999 Mar;35(3):246-56. (PMID: 9987557)
      Respir Res. 2022 Apr 5;23(1):80. (PMID: 35382818)
      RMD Open. 2022 May;8(1):. (PMID: 35534053)
      J Clin Epidemiol. 2017 Apr;84:150-160. (PMID: 28017849)
      Stat Med. 2009 Nov 30;28(27):3437-53. (PMID: 19708037)
      Ann Rheum Dis. 2012 Jul;71(7):1128-33. (PMID: 22241902)
      J Clin Epidemiol. 2006 Apr;59(4):393-403. (PMID: 16549262)
      Pharmacoepidemiol Drug Saf. 2018 Feb;27(2):148-160. (PMID: 29285840)
    • Grant Information:
      APP1040938 National Health and Medical Research Council; GNT1157506 National Health and Medical Research Council
    • Contributed Indexing:
      Keywords: cumulative exposure; pharmacoepidemiology; time-varying exposure; weighted cumulative exposure
    • Publication Date:
      Date Created: 20230925 Date Completed: 20240122 Latest Revision: 20240514
    • Publication Date:
      20240514
    • Accession Number:
      PMC10952599
    • Accession Number:
      10.1002/pds.5701
    • Accession Number:
      37749615