Evidence map›Paper›PMID 22198824›Full record

ReviewCurrent psychiatry reports2012

Gene-environment interaction in major depression and antidepressant treatment response.

Robert Keers, Rudolf Uher

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current psychiatry reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
10.8field-weighted citation impact, top 2% of its field
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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Do Sleep Disturbances Improve Following Psychoanalytic Psychotherapy for Adolescent Depression?International journal of environmental research and public health · 2022
    Trial
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  10. Observational
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  19. Review
  20. Interaction of the Psychiatric Risk GeneFrontiers in cellular neuroscience · 2019
    Article
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

2 authors at 1 institution in 1 country.

Robert KeersMRC SGDP Centre, Institute of Psychiatry at King's College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF, England, UK. robert.keers@kcl.ac.uk
Rudolf Uher
King's College London · GB

Funding

Medical Research Council
6 · The paper itself

Abstract

Response to antidepressants is interindividually variable. It has been suggested that this variability is a direct consequence of etiological heterogeneity. Therefore, the same genes, environments, and gene-environment interactions implicated in different etiological pathways to depression may also predict response to treatment. This article reviews the evidence relevant to this hypothesis by first outlining the roles of genes, environments, and gene-environment interplay in the etiology of depression, and then considering the same factors in treatment response. Environmental exposures, such as childhood maltreatment, are potent predictors of both depression and treatment response. Although alone genetic factors have failed to consistently predict either phenotype, several polymorphisms have been shown to moderate the effects of environmental adversity on the development of depression and treatment response. These findings suggest that the dissection of etiological pathways to depression may provide the key to understanding and predicting response to antidepressants.

Indexed as

Gene-Environment InteractionAntidepressive AgentsHumansLife Change EventsMajor Depressive DisorderRisk FactorsStress, PsychologicalTreatment OutcomeAntidepressive Agents

Identifiers

PMID22198824
OpenAlexW2068677608

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.