Evidence map›Paper›PMID 36681150›Full record

ArticleJournal of the Academy of Consultation-Liaison Psychiatry

The Relationship Between Coronary Artery Calcification and Carotid Intima Media Thickness and Hippocampal Volume: An Analysis From the Dallas Heart Study.

Christine Yuan, Jayme M Palka, Anand Rohatgi, Parag Joshi, Jarett Berry, Amit Khera, E Sherwood Brown

Open access · greenAbstract read
In one paragraph

Article in Journal of the Academy of Consultation-Liaison Psychiatry. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 2 institutions in 1 country.

Christine YuanDepartment of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX.
Jayme M PalkaDepartment of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX.
Anand RohatgiDivision of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX.
Parag JoshiDivision of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX.
Jarett BerryDivision of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX.
Amit KheraDivision of Cardiology, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX.
E Sherwood BrownDepartment of Psychiatry, The University of Texas Southwestern Medical Center, Dallas, TX; The Altshuler Center for Education & Research, Metrocare Services, Dallas, TX. Electronic address: sherwood.brown@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USSouthwestern Medical Center · US

Funding

UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
UT Southwestern NORCP30DK127984 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Jeff G McDonald · 2022 to 2026
$7.4M
NCATS NIH HHS UL1 TR001105NIDDK NIH HHS P30 DK127984
6 · The paper itself

Abstract

backgroundHigher rates of dementia are reported in people with a history of coronary artery disease. Smaller hippocampal volume (HV) is a risk factor for the development of dementia.

objectiveThis study assessed whether coronary artery calcification (CAC) and carotid intima media thickness (CIMT) are associated with HV in participants from the Dallas Heart Study, a community-based study of Dallas County, Texas, residents.

methodsData from a total of n = 1821 participants in the Dallas Heart Study with brain magnetic resonance imaging, CAC, and CIMT information were included in the present study, after excluding those with a history of myocardial infarction or stroke. To evaluate the effect of CAC and CIMT on total HV, 4 linear regression analyses were conducted in which the primary predictor was (1) CAC as a continuous metric; (2) CAC as a binary metric (CAC = 0 vs. CAC ≥ 1); (3) CAC as a continuous metric but only for those with CAC >0; and (4) CIMT as a continuous metric. Demographic and cardiovascular disease risk factors, as well as intracranial volume, were entered into the model as covariates.

resultsParticipants were largely women (58.2%) with a mean age of 49.7 ± 10.3 years. Forty-six percent of the sample reported being Black, and approximately 14% reported being Hispanic. All 3 variations of the CAC effect were nonsignificant predictors of total HV (β = -0.013, P = 0.602; β = -0.011, P = 0.650; β = 0.036, P = 0.354, respectively), as was the effect of CIMT (β = 0.009, P = 0.686).

conclusionsCurrent findings suggest nonsignificant relationships between both CAC and CIMT and between CAC and total HV, while controlling for other related factors in a large, diverse, community-based sample of people without a history of myocardial infarction or stroke. In the context of existing evidence that both coronary artery disease and smaller HV are associated with the development of dementia, the present findings suggest that neither marker of the cardiovascular disease examined here is associated with a reduction in HV in the population studied. Longitudinal studies are needed to assess relationships between CAC and CIMT and between CAC and HV over time.

Indexed as

Coronary Artery DiseaseDementiaMyocardial InfarctionStrokeAdultCarotid Intima-Media ThicknessFemaleHumansMiddle Agedcarotid intima media thicknesscoronary artery calcificationcoronary artery diseasedementiahippocampusmagnetic resonance imaging

Identifiers

PMID36681150
PMCPMC10200733
OpenAlexW4317379815

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.