Evidence map›Paper›PMID 29132074›Full record

ArticleJournal of affective disorders2018

Robust symptom networks in recurrent major depression across different levels of genetic and environmental risk.

H M van Loo, C D Van Borkulo, R E Peterson, E I Fried, S H Aggen, D Borsboom, K S Kendler

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of affective disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 53 citations in OpenAlex.

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  6. Symptom Structure of Depression in Older Adults on the Qinghai-Tibet Plateau: A Network Analysis.International journal of environmental research and public health · 2022
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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

7 authors at 3 institutions in 2 countries.

H M van LooVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen The Netherlands. Electronic address: h.van.loo@umcg.nl.
C D Van BorkuloDepartment of Psychology, University of Amsterdam, The Netherlands.
R E PetersonVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA.
E I FriedDepartment of Psychology, University of Amsterdam, The Netherlands.
S H AggenVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
D BorsboomDepartment of Psychology, University of Amsterdam, The Netherlands.
K S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA; Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA; Department of Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA.
University of Amsterdam · NLVirginia Commonwealth University · USUniversity Medical Center Groningen · NL

Funding

The Molecular Genetics of Recurrent Major Depression in Chinese WomenR01MH100549 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2013 to 2015
$2.0M
NIMH NIH HHS R01 MH100549Wellcome TrustWellcome Trust WT083573/Z/07/ZWellcome Trust WT089269/Z/09/ZWellcome Trust WT090532/Z/09/Z
6 · The paper itself

Abstract

backgroundGenetic risk and environmental adversity-both important risk factors for major depression (MD)-are thought to differentially impact on depressive symptom types and associations. Does heterogeneity in these risk factors result in different depressive symptom networks in patients with MD?

methodsA clinical sample of 5784 Han Chinese women with recurrent MD were interviewed about their depressive symptoms during their lifetime worst episode of MD. The cases were classified into subgroups based on their genetic risk for MD (family history, polygenic risk score, early age at onset) and severe adversity (childhood sexual abuse, stressful life events). Differences in MD symptom network structure were statistically examined for these subgroups using permutation-based network comparison tests.

resultsAlthough significant differences in symptom endorsement rates were seen in 18.8% of group comparisons, associations between depressive symptoms were similar across the different subgroups of genetic and environmental risk. Network comparison tests showed no significant differences in network strength, structure, or specific edges (P-value > 0.05) and correlations between edges were strong (0.60-0.71). LIMITATIONS: This study analyzed depressive symptoms retrospectively reported by severely depressed women using novel statistical methods. Future studies are warranted to investigate whether similar findings hold in prospective longitudinal data, less severely depressed patients, and men.

conclusionsSimilar depressive symptom networks for MD patients with a higher or lower genetic or environmental risk suggest that differences in these etiological influences may produce similar symptom networks downstream for severely depressed women.

Indexed as

EnvironmentAdultAge of OnsetFemaleHumansMajor Depressive DisorderMiddle AgedModels, StatisticalMultifactorial InheritanceRecurrenceRetrospective StudiesRisk FactorsComplex networksDepressive symptomsGenetic riskMajor depressive disorderStressful life events

Identifiers

PMID29132074
PMCPMC5815316
OpenAlexW2765597118

What OpenQuestion holds

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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.