Evidence map›Paper›PMID 32921574›Full record

SynthesisJournal of diabetes and its complications2020

Depression and cardiovascular disease events among patients with type 2 diabetes: A systematic review and meta-analysis with bias analysis.

Kosuke Inoue, James Beekley, Atsushi Goto, Christie Y Jeon, Beate R Ritz

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Journal of diabetes and its complications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 5 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

30 citing papers in PubMed, 5 syntheses or guidelines 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

5 authors.

Kosuke InoueDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, United States; Division of Nephrology and Endocrinology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.. Electronic address: koinoue@ucla.edu.
James BeekleyDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, United States.
Atsushi GotoMetabolic Epidemiology Section, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Christie Y JeonSamuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States.
Beate R RitzDepartment of Epidemiology, UCLA Fielding School of Public Health, Los Angeles, CA, United States; Department of Environmental Health Sciences, UCLA Fielding School of Public Health, Los Angeles, CA, United States; Department of Neurology, UCLA David Geffen School of Medicine, Los Angeles, CA, United States.

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
Effects of Chronic Kidney Disease on Cardiovascular Disease and Dementia Among People with Diabetes: Causal Modeling with Machine Learning ApproachF99DK126119 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI INOUE, KOSUKE · 2020 to 2020
$34k
NICHD NIH HHS P2C HD041022NIDDK NIH HHS F99 DK126119
6 · The paper itself

Abstract

aimsTo provide updated systematic and quantitative summary of the association between depression and the risk of CVD events among individuals with type 2 diabetes. We also aimed to examine the sensitivity of the association to uncontrolled confounding.

methodsData sources included Medline, Embase, and PsycInfo through September 2019. Two independent reviewers selected cohort studies that evaluated the association between depression and fatal or non-fatal CVD events among individuals with type 2 diabetes. Bias analysis was performed using the bias formula approach.

resultsOf 2527 citations screened, 17 eligible studies with a total of 1,033,131 participants were identified. Based on random-effects meta-analysis, depression was associated with higher risks of non-fatal CVD events (relative risk 1.35, 95% confidence interval [CI] 1.20 to 1.53) and fatal CVD event (relative risk 1.47, 95% CI 1.21 to 1.77). Bias analysis indicated that unmeasured confounders alone may not explain the observed association between depression and CVD events among individuals with type 2 diabetes.

conclusionsDepression was associated with a higher risk of non-fatal and fatal CVD events among individuals with type 2 diabetes. Our findings provide updated and robust evidence about the association between depression and CVD events among individuals with type 2 diabetes.

Indexed as

Cardiovascular DiseasesDepressionDiabetes Mellitus, Type 2HumansBias analysisCardiovascular disease eventsDepressionMeta-analysisType 2 diabetes

Identifiers

PMID32921574
PMCPMC7467011

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.