Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
**What are the chances for personalized treatment with antidepressants?** Introduction Finding subgroups of patients who especially benefit from pharmacological depression treatment is important, given the small treatment effects of antidepressants (AD) observed in randomized placebo controlled trials (RCT), and the relevance of personalized medicine. However, such research efforts can only be fruitful if there really are certain patients who respond particularly well to AD. The aim of this paper was to test this critical assumption. Methods Variance ratios (VR) and coefficients of variance ratios (CVR) calculated from a large, systematic review of RCT were meta-analytically combined. This included 163 studies and 51,137 patients. The analysis was repeated for classes of AD and specific AD. Results Variance ratios (VR = 1.01, CI 0.99-1.02) and coefficient of variance ratios (CVR = 0.82, CI 0.80-0.84) of the AD-treatment arms were comparable or smaller than in placebo-arms. Similar results were observed for classes of AD and for specific AD. Discussion/Conclusion The lacking increase of treatment outcome in the AD versus placebo groups in RCTs indicates that no specific subgroup of patients responds considerably better to AD. Thus, the quest for personalized treatment with AD is likely unsuccessful. However, our findings are no final proof and data using other research designs are needed.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.