ArticleFrontiers in psychiatry2025
Arrhythmic events pertinent with antidepressants: a Bayesian disproportional analysis mining the FDA Adverse Event Reporting System database.
Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed.
- Article
- Long-term safety evaluation of mirtazapine: A real-world pharmacovigilance study based on the FAERS database.PloS one · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: The aim of this study was to investigate pharmacovigilance (PV) and make pairwise comparisons on arrhythmic events among antidepressants from the US Food and Drug Administration Adverse Event Reporting System (FAERS). Methods: Records regarding antidepressants treating depression and major depression from the first quarter of 2015 to the third quarter of 2023 documented in the FAERS database were harvested. The primary endpoint of this study was PV for arrhythmic events, including QT prolongation/Torsades de Pointes (TdP), atrial fibrillation (AF), heart block, and ventricular arrhythmia. The secondary endpoints comprised the pairwise comparisons on constituent ratio and severity of outcomes of drugs of interest on the above four diseases. Result: Ultimately, 746,507 records were eligible for analysis. PV for QT interval prolongation/TdP was identified for citalopram [proportional reporting ratio (PRR) = 2.13, 95% confidence interval (CI): 1.89 to 2.40, reporting odds ratio (ROR) = 2.14, 95% CI: 1.90 to 2.40, IC = 0.98, 95% CI: 0.80 to 1.12], escitalopram (ROR = 1.72, 95% CI: 1.52 to 1.96, IC = 0.71, 95% CI: 0.51 to 0.86), fluoxetine (ROR = 1.39, 95% CI: 1.21 to 1.60, IC = 0.43, 95% CI: 0.21 to 0.60), and quetiapine (ROR = 1.58, 95% CI: 1.30 to 1.91, IC = 0.63, 95% CI: 0.31 to 0.85). In terms of AF, PV was detected in citalopram (ROR = 1.82, 95% CI: 1.44 to 2.30, IC = 0.78, 95% CI: 0.41 to 1.05), escitalopram (ROR = 1.34, 95% CI: 1.03 to 1.74), sertraline (ROR = 1.32, 95% CI: 1.07 to 1.64, IC = 0.35, 95% CI: 0.01 to 0.59), and fluoxetine (ROR = 1.68, 95% CI: 1.32 to 2.13, IC = 0.68, 95% CI: 0.29 to 0.95). With regard to heart block, PV was detected in citalopram (ROR = 1.37, 95% CI: 1.05 to 1.80) and mirtazapine (ROR = 1.40, 95% CI: 1.03 to 1.90). Regarding ventricular arrhythmia, PV was detected in citalopram (ROR = 1.55, 95% CI: 1.19 to 2.02, IC = 0.58, 95% CI: 0.15 to 0.88), escitalopram (ROR = 1.51,95% CI: 1.16 to 1.97, IC = 0.54, 95% CI: 0.12 to 0.85), and quetiapine (PRR = 2.39, 95% CI: 1.75 to 3.25, ROR = 2.39, 95% CI: 1.75 to 3.26, IC = 1.17, 95% CI: 0.67 to 1.54). Conclusion: Citalopram and escitalopram [classified as selective serotonin reuptake inhibitors (SSRIs)] exhibited the strongest correlations with arrhythmic occurrences. Quetiapine [classified as a second-generation antipsychotic (SGA)] demonstrated higher risk and worse prognosis on QT prolongation/TdP and ventricular arrhythmic events. Venlafaxine and duloxetine [classified as serotonin-norepinephrine reuptake inhibitors (SNRIs)] did not show any PV of any arrhythmia and had lower risks and a lower degree of adverse events compared with the rest. Certainly, more head-to-head related studies are merited.
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