Evidence map›Paper›PMID 41472476›Full record

ArticlePharmacoepidemiology and drug safety2026

Population-Based Case-Control Study of Antidepressants in Early and Average-Age Onset Colorectal Cancer: The Impact of Exposure Window, Class, Dose, and Intensity.

Vicki Cheng, Eric C Sayre, Vienna Cheng, Jonathan M Loree, Sharlene Gill, Rachel A Murphy, Mary A De Vera

Abstract read
In one paragraph

Article in Pharmacoepidemiology and drug safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Vicki ChengFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Eric C SayreBritish Columbia Centre on Substance Use, Vancouver, British Columbia, Canada.
Vienna ChengFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Jonathan M LoreeCancer Control Research, BC Cancer, Vancouver, British Columbia, Canada.
Sharlene GillCancer Control Research, BC Cancer, Vancouver, British Columbia, Canada.
Rachel A MurphyCancer Control Research, BC Cancer, Vancouver, British Columbia, Canada.
Mary A De VeraFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

CIHR PJT-159467Tier 2 Canada Research Chair
6 · The paper itself

Abstract

backgroundGiven inconsistent findings from previous epidemiologic studies on the association between antidepressant exposure and colorectal cancer (CRC), our study provides a rigorous investigation to clarify the temporality of this association, including early-age onset (EAO) and average-age onset (AAO) CRC.

methodsWe conducted a population-based case-control study using administrative health databases from British Columbia, Canada. We included CRC cases and controls, matched (1:10) on age, sex, and index date (i.e., CRC diagnosis date/matched date). Antidepressant exposures were ascertained by duration (i.e., varying windows from 15 to 1 year before CRC diagnosis), drug classes (tricyclic antidepressants (TCAs), selective serotonin reuptake inhibiters (SSRIs), other), cumulative dose and treatment intensity. We used multivariable conditional logistic regression models and interpreted odds ratios as relative risks.

resultsAmong 10,171 CRC cases (688 EAO-CRC; 9483 AAO-CRC) and 90 928 controls, antidepressants exposure in the 15-year window was associated with a lower risk of CRC overall (adjusted relative risk [aRR] 0.84; 95% CI 0.80, 0.89), EAO-CRC (aRR 0.54; 95% CI 0.44, 0.66), and AAO-CRC (aRR 0.87; 95% CI 0.83, 0.92). Across narrowing exposure windows, associations persisted up to 7 years before CRC diagnosis, then weakened. Inverse associations were also observed for TCAs (aRR 0.83; 95% CI 0.77, 0.89) and SSRIs (aRR 0.86; 95% CI 0.81, 0.91) and CRC. Cumulative dose and treatment intensity showed no associations.

conclusionsAcross all age groups, antidepressant exposure in the earlier exposure windows (15-7 years) was associated with a lower CRC risk, with the strongest effect at the 15-year window.

Indexed as

Antidepressive AgentsColorectal NeoplasmsAdultAgedAge of OnsetBritish ColumbiaCase-Control StudiesDatabases, FactualDose-Response Relationship, DrugFemaleHumansMaleRisk FactorsSelective Serotonin Reuptake InhibitorsAntidepressive AgentsSelective Serotonin Reuptake Inhibitorsantidepressantsaverage‐age onset colorectal cancercolorectal cancerearly‐age onset colorectal cancer

Identifiers

PMID41472476
PMCPMC12754579

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LicenceCC BY-NC-ND
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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.