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Mixed Approach Retrospective Analyses of Suicide and Suicidal Ideation for Brand Compared with Generic Central Nervous System Drugs

Overview of attention for article published in Drug Safety, December 2017
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Title
Mixed Approach Retrospective Analyses of Suicide and Suicidal Ideation for Brand Compared with Generic Central Nervous System Drugs
Published in
Drug Safety, December 2017
DOI 10.1007/s40264-017-0624-0
Pubmed ID
Authors

Ning Cheng, Md. Motiur Rahman, Yasser Alatawi, Jingjing Qian, Peggy L. Peissig, Richard L. Berg, C. David Page, Richard A. Hansen

Abstract

Several different types of drugs acting on the central nervous system (CNS) have previously been associated with an increased risk of suicide and suicidal ideation (broadly referred to as suicide). However, a differential association between brand and generic CNS drugs and suicide has not been reported. This study compares suicide adverse event rates for brand versus generic CNS drugs using multiple sources of data. Selected examples of CNS drugs (sertraline, gabapentin, zolpidem, and methylphenidate) were evaluated via the US FDA Adverse Event Reporting System (FAERS) for a hypothesis-generating study, and then via administrative claims and electronic health record (EHR) data for a more rigorous retrospective cohort study. Disproportionality analyses with reporting odds ratios and 95% confidence intervals (CIs) were used in the FAERS analyses to quantify the association between each drug and reported suicide. For the cohort studies, Cox proportional hazards models were used, controlling for demographic and clinical characteristics as well as the background risk of suicide in the insured population. The FAERS analyses found significantly lower suicide reporting rates for brands compared with generics for all four studied products (Breslow-Day P < 0.05). In the claims- and EHR-based cohort study, the adjusted hazard ratio (HR) was statistically significant only for sertraline (HR 0.58; 95% CI 0.38-0.88). Suicide reporting rates were disproportionately larger for generic than for brand CNS drugs in FAERS and adjusted retrospective cohort analyses remained significant only for sertraline. However, even for sertraline, temporal confounding related to the close proximity of black box warnings and generic availability is possible. Additional analyses in larger data sources with additional drugs are needed.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 12%
Researcher 3 9%
Student > Ph. D. Student 3 9%
Other 2 6%
Student > Bachelor 2 6%
Other 3 9%
Unknown 16 48%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 4 12%
Medicine and Dentistry 3 9%
Computer Science 3 9%
Nursing and Health Professions 3 9%
Business, Management and Accounting 2 6%
Other 2 6%
Unknown 16 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 May 2018.
All research outputs
#14,963,216
of 23,015,156 outputs
Outputs from Drug Safety
#1,386
of 1,704 outputs
Outputs of similar age
#251,606
of 438,158 outputs
Outputs of similar age from Drug Safety
#17
of 21 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,704 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 438,158 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.