Evidence map›Paper›PMID 40071563›Full record

ArticlePsychological medicine2025

Sociodemographic, clinical, and genetic factors associated with self-reported antidepressant response outcomes in the UK Biobank.

Michelle Kamp, Chris Wai Hang Lo, Grigorios Kokkinidis, Mimansa Chauhan, Alexandra C Gillett, AMBER Research Team, Andrew M McIntosh, Oliver Pain, Cathryn M Lewis

Abstract read
In one paragraph

Article in Psychological medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

9 authors.

Michelle KampSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-4334-6883
Chris Wai Hang LoSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-3219-8942
Grigorios KokkinidisSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-6320-3222
Mimansa ChauhanSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Alexandra C GillettSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-5069-3197
AMBER Research Team
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Edinburgh, UK.ORCID https://orcid.org/0000-0002-0198-4588
Oliver PainDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0001-5680-3281
Cathryn M LewisSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-8249-8476

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn major depressive disorder (MDD), only ~35% achieve remission after first-line antidepressant therapy. Using UK Biobank data, we identify sociodemographic, clinical, and genetic predictors of antidepressant response through self-reported outcomes, aiming to inform personalized treatment strategies.

methodsIn UK Biobank Mental Health Questionnaire 2, participants with MDD reported whether specific antidepressants helped them. We tested whether retrospective lifetime response to four selective serotonin reuptake inhibitors (SSRIs) (

results71%-77% of participants reported positive responses to SSRIs. Non-response was significantly associated with alcohol and illicit drug use (OR = 1.59,

conclusionsSelf-reported antidepressant response in the UK Biobank is influenced by sociodemographic, clinical, and genetic factors, mirroring clinical response measures. While positive outcomes are more frequent than remission reported in clinical trials, these self-reports replicate known treatment associations, suggesting they capture meaningful aspects of antidepressant effectiveness from the patient's perspective.

Indexed as

Antidepressive AgentsCytochrome P-450 CYP2C19Major Depressive DisorderSelective Serotonin Reuptake InhibitorsAdultAgedBiological Specimen BanksCitalopramFemaleFluoxetineGenetic Predisposition to DiseaseHumansMaleMiddle AgedParoxetineRetrospective StudiesAntidepressive AgentsCitalopramCYP2C19 protein, humanCytochrome P-450 CYP2C19FluoxetineParoxetineSelective Serotonin Reuptake InhibitorsSertralineantidepressant responseCYP2C19 metabolizer statusmajor depressive disorder (MDD)polygenic scoresselective serotonin reuptake inhibitors (SSRIs)

Identifiers

PMID40071563
PMCPMC12080641

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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.