Evidence map›Paper›PMID 40802817›Full record

ArticlePloS one2025

Safety of antidepressants commonly used in 6-17-year-old children and adolescents: A disproportionality analysis from 2014-2023 on the basis of the FAERS database.

Yan Zhou, Yun Lu, Yu Wu, Wenqiang Kong, Lu Zhou, Xirui Guo, Hua Wei, Hongju Wang, Fangqing Xie, Shihao Yan and 6 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yan ZhouDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Yun LuDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Yu WuDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Wenqiang KongDepartment of Pharmacy, Zigong First People's Hospital, Zigong, Sichuan, China.
Lu ZhouDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Xirui GuoDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Hua WeiDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Hongju WangDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Fangqing XieDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Shihao YanDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Fang YangDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Chun LiuDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Qinchuan LiDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.
Na LiDepartment of Pharmacy, Central People' s Hospital of Zhanjiang, Zhanjiang, Guangdong, China.
Ya ZouDepartment of Pharmacy, Chengdu Second People' s Hospital, Chengdu, Sichuan, China.ORCID https://orcid.org/0009-0003-4560-8810
Jia ChenDepartment of Pharmacy, Chengdu Jinniu District People's Hospital, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a common mental disorder in children and adolescents, and antidepressants are widely used for treatment. This study aimed to explore and analyze adverse events (AEs) associated with antidepressant use in this population, providing insights for safety assessment.

methodsThis study extracted AE reports from the US FDA Adverse Event Reporting System (FAERS) for children and adolescents aged 6-17 years from 2014-2023, with fluoxetine, escitalopram, and sertraline as the primary suspected drugs. The study used the International Dictionary of Medical Terminology (MedDRA) to encode and classify AEs, and employed the reporting odds ratio (ROR) and proportional reporting ratio (PRR) methods for data mining.

resultsThe FAERS database included 9,845 AE reports involving fluoxetine, escitalopram, and sertraline among children and adolescents aged 6-17 years. After removing duplicates, the analysis yielded 1,604, 352, and 571 AEs for fluoxetine, escitalopram, and sertraline, respectively. The study population demonstrated a sex distribution with approximately twice as many female patients as male patients, with most patients aged 12-17 years. At the system organ class (SOC) level, the AEs predominantly involved psychiatric disorders and nervous system disorders. Within the psychiatric disorders category at the high level group term (HLGT) level, the most frequently reported AE signals across all three medications were suicidal and self-injurious behaviors (not elsewhere classified, hereinafter referred to as NEC) and anxiety disorders and symptoms; For nervous system disorders, the predominant AE signals were neurological disorders (NEC) and movement disorders (including parkinsonism). At the Preferred Term (PT) level, the three antidepressants demonstrated similar AEs, including various suicidal and self-injurious behaviors, intentional overdose, neurological disorders (including serotonin syndrome, extravertebral reactions, etc) and prolonged QT. The typical AEs of fluoxetine included decreased appetite, insomnia, and urinary retention. Escitalopram was associated with additional AEs of sexual dysfunction and toxic epidermal necrolysis, whereas sertraline demonstrated unique associations with headache and rhabdomyolysis.

conclusionThis study may offer further evidence regarding AEs associated with commonly prescribed antidepressants in children and adolescents. Overall, the findings are mostly consistent with the AEs recorded in the packaging instructions and previous reports. However, the study also identified previously unreported AEs and highlighted variations in the AE profiles across different demographic groups. As the causal relationships between these medications and the observed AEs remain to be fully elucidated, additional research is warranted to confirm these findings.

Indexed as

Adverse Drug Reaction Reporting SystemsAntidepressive AgentsDepressionAdolescentChildDatabases, FactualEscitalopramFemaleFluoxetineHumansMaleSertralineUnited StatesAntidepressive AgentsEscitalopramFluoxetineSertraline

Identifiers

PMID40802817
PMCPMC12349705

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Registered trials

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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.