Evidence map›Paper›PMID 29179144›Full record

ArticleJournal of affective disorders2018

The centrality of DSM and non-DSM depressive symptoms in Han Chinese women with major depression.

Kenneth S Kendler, Steven H Aggen, Jonathan Flint, Denny Borsboom, Eiko I Fried

Abstract read
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 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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

28 citing papers in PubMed.

  1. Article
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  5. Article
  6. Review
  7. Adolescent depression beyond DSM definition: a network analysis.European child & adolescent psychiatry · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Phenotype Network and Brain Structural Covariance Network of Major Depression.Advances in experimental medicine and biology · 2021
    Article
  15. Review
  16. Review
  17. Article
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  20. Review
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

5 authors.

Kenneth S KendlerVirginia Institute of Psychiatric and Behavioral Genetics and the Departments of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA. Electronic address: kenneth.kendler@vcuhealth.org.
Steven H AggenVirginia Institute of Psychiatric and Behavioral Genetics and the Departments of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Jonathan FlintDepartment of Psychiatry, University of California at Los Angeles, Los Angeles, CA, USA.
Denny BorsboomDepartment of Psychological Methods, University of Amsterdam, USA.
Eiko I FriedDepartment of Psychological Methods, University of Amsterdam, USA.

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

introductionWe compared DSM-IV criteria for major depression (MD) with clinically selected non-DSM criteria in their ability to represent clinical features of depression.

methodWe conducted network analyses of 19 DSM and non-DSM symptoms of MD assessed at personal interview in 5952 Han Chinese women meeting DSM-IV criteria for recurrent MD. We estimated an Ising model (the state-of-the-art network model for binary data), compared the centrality (interconnectedness) of DSM-IV and non-DSM symptoms, and investigated the community structure (symptoms strongly clustered together).

resultsThe DSM and non-DSM criteria were intermingled within the same symptom network. In both the DSM-IV and non-DSM criteria sets, some symptoms were central (highly interconnected) while others were more peripheral. The mean centrality of the DSM and non-DSM criteria sets did not significantly differ. In at least two cases, non-DSM criteria were more central than symptomatically related DSM criteria: lowered libido vs. sleep and appetite changes, and hopelessness versus worthlessness. The overall network had three sub-clusters reflecting neurovegetative/mood symptoms, cognitive changes and anxiety/irritability. LIMITATIONS: The sample were severely ill Han Chinese females limiting generalizability.

conclusionsConsistent with prior historical reviews, our results suggest that the DSM-IV criteria for MD reflect one possible sub-set of a larger pool of plausible depressive symptoms and signs. While the DSM criteria on average perform well, they are not unique and may not be optimal in their ability to describe the depressive syndrome.

Indexed as

AdultAnxietyAsian PeopleDepressionDiagnostic and Statistical Manual of Mental DisordersFemaleHumansMaleMiddle AgedDiagnostic and Statistical Manual 3rd EditionMajor depressionNetwork analysis

Identifiers

PMID29179144
PMCPMC5815309

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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.