Evidence map›Paper›PMID 32924175›Full record

SynthesisDiabetic medicine : a journal of the British Diabetic Association2021

Understanding the relationship between type 2 diabetes and depression: lessons from genetically informative study designs.

R S Bergmans, A Rapp, K M Kelly, D Weiss, Briana Mezuk

Abstract readSystematic Review
In one paragraph

Synthesis in Diabetic medicine : a journal of the British Diabetic Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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  15. Glucocorticoid Receptor Signaling in Diabetes.International journal of molecular sciences · 2021
    Review
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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

5 authors.

R S BergmansDepartment of Psychiatry.
A RappDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
K M KellyDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
D WeissDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.
Briana MezukDepartment of Epidemiology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-1798-2285

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Training Geriatric Mental Health Services ResearchersT32MH073553 · NIMH · DARTMOUTH-HITCHCOCK CLINIC · PI BRUCE, MARTHA L · 2005 to 2019
$6.4M
Depression, inflammation, and diabetes: Exploring shared etiopathologyK01MH093642 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI MEZUK, BRIANA · 2012 to 2015
$689k
American Diabetes Association 1-16-ICTS-082NHGRI NIH HHS T32 HG000040NIH HHSNIMH NIH HHS K01 MH093642NIMH NIH HHS T32 MH073553
6 · The paper itself

Abstract

aimsTo conduct a systematic review in order to comprehensively synthesize the findings from a diverse range of genetically informative studies on comorbid depression and type 2 diabetes.

methodsDatabase searches (1 January 2008 to 1 June 2020) in PubMed and EMBASE were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. Eligible reports employed any type of genetically informed design, including twin modelling, Mendelian randomization, genome-wide association studies, polygenetic risk scores, or linkage disequilibrium score regression. Searches generated 451 unique citations, and 16 manuscripts met the inclusion criteria.

resultsThe included studies addressed three aetiological models of the depression-diabetes relationship: uni- or bi-directional phenotypic causation; shared genetic liability; or gene-environment interaction. From these studies, there is modest evidence that type 2 diabetes is causally related to risk of developing depression, but much more limited evidence that depression is causally related to risk of diabetes. There is little evidence of shared genetic liability between depression and diabetes or of gene-environment interaction.

conclusionsFindings from genetically informed studies are mixed but provide some support for the uni- or bi-directional phenotypic model of depression and type 2 diabetes. Future studies should also explore the hypothesis that this relationship may be influenced by shared environmental risk factors. Findings can inform multifaceted approaches to diabetes prevention and care that reflect how psychosocial factors contribute to type 2 diabetes risk and outcomes.

Indexed as

Depressive DisorderDiabetes Mellitus, Type 2Gene-Environment InteractionGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisTwin Studies as Topic

Identifiers

PMID32924175
PMCPMC8990216

What OpenQuestion holds

Textmetadata
LicenceTDM
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.