IDEAS home Printed from https://ideas.repec.org/a/sae/medema/v29y2009i1p91-103.html
   My bibliography  Save this article

Controlling for Drug Dose in Systematic Review and Meta-Analysis: A Case Study of the Effect of Antidepressant Dose

Author

Listed:
  • Richard A. Hansen

    (University of North Carolina-School of Pharmacy, Chapel Hill, rahansen@unc.edu)

  • Charity G. Moore

    (University of Pittsburgh-School of Medicine)

  • Stacie B. Dusetzina

    (University of North Carolina-School of Pharmacy, Chapel Hill)

  • Brian I. Leinwand

    (University of North Carolina-School of Pharmacy, Chapel Hill)

  • Gerald Gartlehner

    (Department for Clinical Epidemiology and Evidence-based Medicine, Danube University, Krems, Austria)

  • Bradley N. Gaynes

    (University of North Carolina-School of Medicine, Chapel Hill)

Abstract

Purpose . To describe a method for quantitatively dealing with drug dose in comparative effectiveness reviews. Second-generation antidepressants are used as an example to illustrate this method and to determine whether dose influences conclusions on comparative effectiveness. Methods . Studies previously identified in a systematic review of second-generation antidepressants were included if data on drug dose were available. The usual dosing range for each drug was defined and then used to create 2- and 3-level dose categories. Placebo-controlled data were used to calculate overall effect sizes for the drug class and effect sizes stratified by drug dose. Meta-regression tested the impact of dose on effect size. Weighted mean differences and risk ratios were calculated for comparative studies, stratifying by whether compared doses were equivalent. Results . The dose classification method was able to identify dose-response trends in the context of meta-analysis. Compared to low-dose studies, medium- and high-dose studies had a 1- to 2-point greater differential in mean Hamilton Depression Rating Scale (HAM-D) change ( P

Suggested Citation

  • Richard A. Hansen & Charity G. Moore & Stacie B. Dusetzina & Brian I. Leinwand & Gerald Gartlehner & Bradley N. Gaynes, 2009. "Controlling for Drug Dose in Systematic Review and Meta-Analysis: A Case Study of the Effect of Antidepressant Dose," Medical Decision Making, , vol. 29(1), pages 91-103, January.
    • Handle: RePEc:sae:medema:v:29:y:2009:i:1:p:91-103
    DOI: 10.1177/0272989X08323298
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0272989X08323298
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0272989X08323298?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:medema:v:29:y:2009:i:1:p:91-103. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.