Literature DB >> 22865578

Two propensity score-based strategies for a three-decade observational study: investigating psychotropic medications and suicide risk.

Andrew C Leon1, Hakan Demirtas, Chunshan Li, Donald Hedeker.   

Abstract

The US Food and Drug Administration issued separate warnings for suicidality with antidepressants and antiepileptic drugs in the past 5 years. This study describes methods for examining the association of these agents with suicide attempts and suicide deaths in more broadly generalizable samples than examined by the US Food and Drug Administration. An observational study of mood disorders was examined that includes three decades of prospective assessments. Because of sample size differences, two distinct longitudinal implementations of the propensity adjustment are used in separate analyses of antidepressants and antiepileptic drugs. Propensity score quintile-stratified safety analyses were used with the large antidepressant data set; whereas, propensity score matched safety analyses were used with the smaller antiepileptic drug data because stratification was not feasible. In each case, mixed-effects survival models compared the safety of participants when receiving the respective class of medication to periods when they did not receive that medication. When participants were more severely ill, they were significantly more likely to receive either class of psychotropics. Propensity quintile-stratified safety analyses found that risk of suicide attempts or suicides was significantly reduced when participants received antidepressants. In contrast, propensity score matched safety analyses found neither significant risk nor protection from suicidality among participants receiving antiepileptics.
Copyright © 2012 John Wiley & Sons, Ltd.

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Year:  2012        PMID: 22865578     DOI: 10.1002/sim.5339

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

1.  Antiepileptic drugs and suicide: the light at the end of the tunnel.

Authors:  Rochelle Caplan
Journal:  Epilepsy Curr       Date:  2014-05       Impact factor: 7.500

2.  How Strong is the "Fake ID Effect?" An Examination Using Propensity Score Matching in Two Samples.

Authors:  John Stogner; Julia A Martinez; Bryan Lee Miller; Kenneth J Sher
Journal:  Alcohol Clin Exp Res       Date:  2016-10-21       Impact factor: 3.455

3.  Suicidal Behavior and Neurological Illnesses.

Authors:  Steven S Coughlin; Leo Sher
Journal:  J Depress Anxiety       Date:  2013-04-18

4.  Optimal full matching for survival outcomes: a method that merits more widespread use.

Authors:  Peter C Austin; Elizabeth A Stuart
Journal:  Stat Med       Date:  2015-08-06       Impact factor: 2.373

  4 in total

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