Evidence map›Paper›PMID 38837010›Full record

ArticleDrugs - real world outcomes2024

The Association Between Antidepressant Use and Drug-Induced Liver Injury: A Nationwide, Population-Based Case-Control Study in Taiwan.

Ching-Ya Huang, Ying-Shu You, Jian-Ming Lai, Cheng-Li Lin, Hsing-Yu Hsu, Yow-Wen Hsieh

Abstract read
In one paragraph

Article in Drugs - real world outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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4 · The record

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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

6 authors.

Ching-Ya HuangDepartment of Pharmacy, Asia University Hospital, Taichung, Taiwan.
Ying-Shu YouDepartment of Pharmacy, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404327, Taiwan.ORCID http://orcid.org/0009-0001-7802-6097
Jian-Ming LaiDepartment of Pharmacy, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404327, Taiwan.
Cheng-Li LinManagement Office for Health Data, China Medical University Hospital, Taichung, Taiwan.
Hsing-Yu HsuDepartment of Pharmacy, China Medical University Hospital, 2 Yuh-Der Road, Taichung, 404327, Taiwan.ORCID http://orcid.org/0000-0003-4424-9476
Yow-Wen HsiehSchool of Pharmacy, China Medical University, Taichung, Taiwan. yowenhsieh@gmail.com.ORCID http://orcid.org/0000-0002-0523-3482

Funding

Taiwan Ministry of Health and Welfare Clinical Trial Center MOHW110-TDU-B-212-124004
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe complex risk factors of liver injury have prevented the establishment of causal relationships. This study aimed to explore the effects of antidepressant class, cumulative days of medication exposure, presence of comorbidities, and the use of confounding drugs on the risk of antidepressant-induced liver injury.

methodsThe population-based case-control study sample included individuals registered on the Taiwan National Health Insurance Database between 2000 and 2018. Hospitalized patients with suspected drug-induced liver injury were considered as cases, while control subjects were matched 1:1 by age, gender, and index date (the first observed diagnosis of liver injury). Multivariable regression models were performed to evaluate the association between antidepressants and liver injury.

resultsThe findings showed that antidepressant users exhibited a higher risk of liver injury (adjusted odds ratio [aOR] 1.16, 95% confidence interval [CI] 1.12-1.20), particularly those prescribed non-selective serotonin reuptake inhibitors (NSRIs; aOR 1.05; 95% CI 1.01-1.10), selective serotonin reuptake inhibitors (SSRIs; aOR 1.22; 95% CI 1.16-1.29), serotonin-norepinephrine reuptake inhibitors (SNRIs; aOR 1.18; 95% CI 1.13-1.24), and others (aOR 1.27; 95% CI 1.14-1.42). Moreover, cases exhibited a more significant proportion of antidepressant usage and longer durations of treatment compared with controls. The risk of liver injury was higher in the first 30 days of use across all classes of antidepressants (aOR 1.24; 95% CI 1.18-1.29).

conclusionSSRIs or SNRIs are commonly used to treat depression and other psychological disorders, and consideration of their potential effects on the liver is essential.

Identifiers

PMID38837010
PMCPMC11365879

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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.