2015
DOI: 10.1248/bpb.b15-00243
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Association between Selective Serotonin Reuptake Inhibitor Therapy and Suicidality: Analysis of U.S. Food and Drug Administration Adverse Event Reporting System Data

Abstract: Selective serotonin reuptake inhibitors (SSRIs) are prescribed for the treatment of depression worldwide. SSRIs are suspected to increase the risk of suicidal ideation and behavior (suicidality) in children, adolescents, and young adults. We examined the association between SSRI therapy and suicidality by applying a logistic regression model to age-stratified data from the Food and Drug Administration (FDA) Adverse Event Reporting System database. We attempted to mitigate the effect of patient-related factors … Show more

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Cited by 32 publications
(21 citation statements)
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“…22,23 The data subsetting strategy may help mitigate indication bias on signal detection by limiting the analysis to a population of patients that are thought to share common risk factors and diseases. [24][25][26][27] We defined a patient subset with anticancer therapies from the whole JADER data and evaluated the intra-class RORs of this subset. We extracted the purpose of administration from the cases that were administered ICIs as listed in the "drug" table of the JADER database.…”
Section: Rormentioning
confidence: 99%
“…22,23 The data subsetting strategy may help mitigate indication bias on signal detection by limiting the analysis to a population of patients that are thought to share common risk factors and diseases. [24][25][26][27] We defined a patient subset with anticancer therapies from the whole JADER data and evaluated the intra-class RORs of this subset. We extracted the purpose of administration from the cases that were administered ICIs as listed in the "drug" table of the JADER database.…”
Section: Rormentioning
confidence: 99%
“…Pharmacovigilance indexes, such as the ROR, have been developed to detect drug‐associated adverse events in the SRS, but these cannot be applied to evaluate the comparative strength of causalities (Bates & Evans, ). The ROR is a clear and easily applicable technique that allows for the control of covariates through logistic regression analysis (Abe et al., ; Suzuki et al., ; Ueda et al., ; Umetsu et al., ). An additional advantage of using the ROR is that non‐selective underreporting of a drug or adverse events has no influence on the value of the ROR compared with the population of patients experiencing an adverse event (Van der Heijden, van Puijenbroek, van Buuren, & van der Hofstede, ).…”
Section: Discussionmentioning
confidence: 99%
“…The FAERS database is subject to various biases such as under-reporting, over-reporting, exclusion of healthy individuals, and confounding by comorbidities [ 18 ]. The data subsetting strategy may help to mitigate the effect of confounding factors and bias on signal detection by limiting the analysis to a population of patients that are thought to share common risk factors and diseases [ 15 , 16 , 34 36 ].…”
Section: Discussionmentioning
confidence: 99%