Evidence map›Paper›PMID 30474691›Full record

ArticleSocial psychiatry and psychiatric epidemiology2019

The association between antidepressant use and deaths from road traffic accidents: a case-crossover study.

Bo Ram Yang, Kyoung-Eun Kwon, Ye-Jee Kim, Nam-Kyong Choi, Mi-Sook Kim, Sun-Young Jung, Ju-Young Shin, Yong Min Ahn, Byung-Joo Park, Joongyub Lee

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Article in Social psychiatry and psychiatric epidemiology, 2019. 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
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1 · What the graph read from it

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.

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.

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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

10 authors.

Bo Ram YangMedical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea.
Kyoung-Eun KwonDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Ye-Jee KimDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, Seoul, Republic of Korea.
Nam-Kyong ChoiDepartment of Health Convergence, Ewha Womans University, Seoul, Republic of Korea.
Mi-Sook KimMedical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea.
Sun-Young JungCollege of Pharmacy, Chung-Ang University, Seoul, Republic of Korea.
Ju-Young ShinSchool of Pharmacy, Sungkyunkwan University, Suwon, Republic of Korea.
Yong Min AhnDepartment of Psychiatry, Seoul National University Hospital, Seoul, Republic of Korea.
Byung-Joo ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Joongyub LeeSchool of Medicine, Inha University, Incheon, Republic of Korea. tp240@naver.com.ORCID http://orcid.org/0000-0003-2784-3772

Funding

Ministry of Land, Infrastructure and Transport in Korea 14TLRP-B085437-01
6 · The paper itself

Abstract

purposeAntidepressants are some of the most commonly used psychiatric medications, but little information is available about the effects of antidepressant treatment on the risk of traffic accidents across classes of antidepressants or associated with each substance individually. To investigate the relationship between exposure to antidepressants and risk of fatality in road traffic accidents.

methodsWe used a Korean national road traffic authority database linked with a national health insurance database between January 1, 2010 and December 31, 2014 and applied a case-crossover design. The study subjects were drivers in South Korea who died from traffic accidents and who had prescriptions for antidepressants within 1 year prior to the date of the accident. We compared the status of prescription for antidepressants with the hazard period and four matched control periods using conditional logistic regression, adjusting for other drug use. The trends of antidepressant utilization were described in terms of the number of prescriptions. A case-case-time-control design was applied to drugs with an increasing trend in use and a significant case-crossover odds ratio (OR).

resultsA total of 1250 antidepressant-using drivers were included, and an increased risk was observed during the 30-day hazard period (adjusted OR 1.30; 95% CI 1.03-1.63). Selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) showed significant risks, but tricyclic antidepressants did not. However, the associations of all antidepressants, SSRIs, SNRIs, escitalopram, and duloxetine did not remain significant after adjusting for trends in utilization. Paroxetine and milnacipran were associated with increased risks, with no obvious increase in their utilization, but the possibility of confounding by indication could have affected the results for milnacipran.

conclusionConsidering the trends of antidepressant prescription and utilization, the use of paroxetine increased the risk of fatal traffic accidents.

Indexed as

Accidents, TrafficAdultAgedAntidepressive AgentsCase-Control StudiesCross-Over StudiesDatabases, FactualDrug PrescriptionsFemaleHumansMaleMiddle AgedRepublic of KoreaAntidepressive AgentsAntidepressantsCase-crossover designPharmacoepidemiologyTraffic accidents

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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.