ArticleStatistics in medicine2008
Mixed-effects Poisson regression analysis of adverse event reports: the relationship between antidepressants and suicide.
Article in Statistics in medicine, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- A 20-year FAERS analysis of hypersensitivity reports to chlorhexidine and povidone-iodine (2004-2024).The journal of allergy and clinical immunology. Global · 2026Article
- Telehealth use among pediatric Alabama Medicaid enrollees, March-December 2020: Variations by race/ethnicity & place of residence.PloS one · 2023Observational
- An Overview of Research and Evaluation Designs for Dissemination and Implementation.Annual review of public health · 2017Review
- Differences in Antipsychotic-Related Adverse Events in Adult, Pediatric, and Geriatric Populations.Cureus · 2017Article
- Pharmacy Benefits Management in the Veterans Health Administration Revisited: A Decade of Advancements, 2004-2014.Journal of managed care & specialty pharmacy · 2016Review
- Analysis of Stevens-Johnson syndrome and toxic epidermal necrolysis using the Japanese Adverse Drug Event Report database.Journal of pharmaceutical health care and sciences · 2016Article
- Article
- Data mining of the public version of the FDA Adverse Event Reporting System.International journal of medical sciences · 2013Review
- Should we treat depression with drugs or psychological interventions? A reply to Ioannidis.Philosophy, ethics, and humanities in medicine : PEHM · 2011Article
- Strategies for quantifying the relationship between medications and suicidal behaviour: what has been learned?Drug safety · 2011Review
- Advances in analysis of longitudinal data.Annual review of clinical psychology · 2010Article
- Post-approval drug safety surveillance.Annual review of public health · 2010Review
- Drugs associated with more suicidal ideations are also associated with more suicide attempts.PloS one · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
A new statistical methodology is developed for the analysis of spontaneous adverse event (AE) reports from post-marketing drug surveillance data. The method involves both empirical Bayes (EB) and fully Bayes estimation of rate multipliers for each drug within a class of drugs, for a particular AE, based on a mixed-effects Poisson regression model. Both parametric and semiparametric models for the random-effect distribution are examined. The method is applied to data from Food and Drug Administration (FDA)'s Adverse Event Reporting System (AERS) on the relationship between antidepressants and suicide. We obtain point estimates and 95 per cent confidence (posterior) intervals for the rate multiplier for each drug (e.g. antidepressants), which can be used to determine whether a particular drug has an increased risk of association with a particular AE (e.g. suicide). Confidence (posterior) intervals that do not include 1.0 provide evidence for either significant protective or harmful associations of the drug and the adverse effect. We also examine EB, parametric Bayes, and semiparametric Bayes estimators of the rate multipliers and associated confidence (posterior) intervals. Results of our analysis of the FDA AERS data revealed that newer antidepressants are associated with lower rates of suicide adverse event reports compared with older antidepressants. We recommend improvements to the existing AERS system, which are likely to improve its public health value as an early warning system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.