Evidence map›Paper›PMID 29298497›Full record

ArticleBiological research for nursing2018

Effects of Gender-Specific Differences, Inflammatory Response, and Genetic Variation on the Associations Among Depressive Symptoms and the Risk of Major Adverse Coronary Events in Patients With Acute Coronary Syndrome.

Jennifer Sanner, Megan L Grove, Erica Yu, F Gerard Moeller, Stanley G Cron, Eric Boerwinkle, Alanna C Morrison, Lorraine Frazier

Open access · greenAbstract read
In one paragraph

Article in Biological research for nursing, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Jennifer Sanner1 The University of Texas Health Science Center at Houston, Cizik School of Nursing, Houston, TX, USA.
Megan L Grove2 Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Erica Yu1 The University of Texas Health Science Center at Houston, Cizik School of Nursing, Houston, TX, USA.
F Gerard Moeller3 The Virginia Commonwealth University, Richmond, VA, USA.
Stanley G Cron4 Center for Nursing Research, The University of Texas Health Science Center at Houston, Cizik School of Nursing, Houston, TX, USA.
Eric Boerwinkle2 Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Alanna C Morrison2 Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Lorraine Frazier1 The University of Texas Health Science Center at Houston, Cizik School of Nursing, Houston, TX, USA.
The University of Texas Health Science Center at Houston · USVirginia Commonwealth University · US

Funding

Center for Clinical and Translational Sciences (CCTS)UL1TR000371 · NCATS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MCPHERSON, DAVID D · 2012 to 2016
$13.4M
Interactions among Depressive Symptoms and Genetic Influences on Cardiac OutcomesR01NR010235 · NINR · UNIV OF ARKANSAS FOR MED SCIS · PI FRAZIER, LORRAINE Q. · 2007 to 2011
$2.6M
NCATS NIH HHS UL1 TR000371NINR NIH HHS R01 NR010235
6 · The paper itself

Abstract

Depressive symptoms independently contribute to major adverse coronary events (MACEs), with the biological immune response to depression being a likely mediator of this relationship. To determine whether genetic- and/or gender-specific phenotypic differences contribute to associations among depressive symptoms, inflammatory response, and risk of MACE in patients with acute coronary syndrome (ACS), we conducted a prospective study of 1,117 ACS patients to test a gender-specific model in which depressive symptoms (Beck Depression Inventory-II [BDI-II]) are associated with risk of MACE. Cox proportional hazards models were used to model time to incident MACE and determine whether single-nucleotide polymorphisms (SNPs) in specific inflammatory protein-coding genes and depressive symptoms interact to influence levels of inflammatory proteins or risk of MACE. Females had significantly higher high-sensitivity C-reactive protein and monocyte chemoattractant protein-1 levels. Depression status differed by gender (29.9% of females and 21.1% of males had BDI-II scores indicative of depression [ p = .0014]). Depressive symptoms were associated with MACE; however, the interaction between these symptoms and gender was not significant. SNPs and depressive symptoms did not interact to influence inflammation or MACE. More females than males had BDI-II scores indicative of depression, yet the association between positive depressive symptom status and MACE did not vary by gender. Nor did the SNPs interact with depressive symptoms to influence inflammation or MACE. It remains of interest to identify a high-risk subgroup of ACS patients with genetic polymorphisms that result in immunoinflammatory dysregulation in the presence of depressive symptoms.

Indexed as

Sex FactorsAcute Coronary SyndromeAgedDepressionFemaleGenetic VariationHumansInflammationMaleMiddle AgedProspective StudiesRisk Assessmentdepressiongendergeneticsinflammationmajor adverse coronary events

Identifiers

PMID29298497
PMCPMC5942525
OpenAlexW2791683084

What OpenQuestion holds

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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.