Evidence map›Paper›PMID 37385177›Full record

ArticleThe American journal of cardiology2023

Coronary Artery Calcium Scores in Older Adults With Diabetes and Their Association With Diabetes-Specific Risk Enhancers (from the Atherosclerosis Risk in Communities Study).

Olufunmilayo H Obisesan, Olusola A Orimoloye, Frances M Wang, Zeina A Dardari, Elizabeth Selvin, Ellen Boakye, Albert D Osei, Yasuyuki Honda, Omar Dzaye, James Pankow and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The American journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 1 country.

Olufunmilayo H ObisesanDepartment of Internal Medicine, Medstar Union Memorial Hospital, Baltimore, Maryland; Department of Cardiology, Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.
Olusola A OrimoloyeDivision of Medicine, Department of Cardiology, Northwestern University, Chicago, Illinois.
Frances M WangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Zeina A DardariDepartment of Cardiology, Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.
Elizabeth SelvinDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Ellen BoakyeDepartment of Cardiology, Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.
Albert D OseiDepartment of Internal Medicine, Medstar Union Memorial Hospital, Baltimore, Maryland.
Yasuyuki HondaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Omar DzayeDepartment of Cardiology, Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.
James PankowDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Josef CoreshDepartment of Cardiology, Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Candace M Howard-ClaudioDepartment of Radiology, University of Mississippi Medical Center, Jackson, Mississippi.
Khurram NasirDepartment of Cardiology, Houston Methodist Hospital, Houston, Texas.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
Michael J BlahaDepartment of Cardiology, Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland. Electronic address: mblaha1@jhmi.edu.
Johns Hopkins University · USMedStar Union Memorial Hospital · USMethodist Hospital · USNorthwestern University · USUniversity of Mississippi Medical Center · US

Funding

Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI GOMEZ-SANCHEZ, CELSO ENRIQUE · 2016 to 2025
$38.2M
PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
Quantifying cardiovascular calcification at very old age for personalized risk classificationR01HL136592 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BLAHA, MICHAEL J, MATSUSHITA, KUNIHIRO · 2017 to 2021
$3.7M
NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS R01 HL136592NHLBI NIH HHS T32 HL007227NIGMS NIH HHS U54 GM115428
6 · The paper itself

Abstract

Coronary artery calcium (CAC) is a validated marker of atherosclerotic cardiovascular disease (ASCVD) risk; however, it is not routinely incorporated in ASCVD risk prediction in older adults with diabetes. We sought to assess the CAC distribution among this demographic and its association with "diabetes-specific risk enhancers," which are known to be associated with increased ASCVD risk. We used the ARIC (Atherosclerosis Risk in Communities) study data, including adults aged >75 years with diabetes, who had their CAC measured at ARIC visit 7 (2018 to 2019). The demographic characteristics of participants and their CAC distribution were analyzed using descriptive statistics. Multivariable-adjusted logistic regression models were used to estimate the association between diabetes-specific risk enhancers (duration of diabetes, albuminuria, chronic kidney disease, retinopathy, neuropathy, and ankle-brachial index) and elevated CAC, adjusting for age, gender, race, education level, dyslipidemia, hypertension, physical activity, smoking status, and family history of coronary heart disease. The mean age in our sample was 79.9 (SD 3.97) years, with 56.6% women and 62.1% White. The CAC scores were heterogenous, and the median CAC score was higher in participants with a greater number of diabetes risk enhancers, regardless of gender. In the multivariable-adjusted logistic regression models, participants with ≥2 diabetes-specific risk enhancers had greater odds of elevated CAC than those with <2 (odds ratio 2.31, 95% confidence interval 1.34 to 3.98). In conclusion, the distribution of CAC was heterogeneous among older adults with diabetes, with the CAC burden associated with the number of diabetes risk-enhancing factors present. These data may have implications for prognostication in older patients with diabetes and supports the possible incorporation of CAC in the assessment of cardiovascular disease risk in this population.

Indexed as

AtherosclerosisCardiovascular DiseasesCoronary Artery DiseaseDiabetes MellitusVascular CalcificationAgedAged, 80 and overCalciumCoronary VesselsFemaleHumansMaleRisk AssessmentRisk FactorsCalcium

Identifiers

PMID37385177
PMCPMC10526640
OpenAlexW4382197306

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.