Evidence map›Paper›PMID 35718559›Full record

ArticleAtherosclerosis2022

Sex-and race-specific burden of aortic valve calcification among older adults without overt coronary heart disease: The Atherosclerosis Risk in Communities Study.

Ellen Boakye, Zeina Dardari, Olufunmilayo H Obisesan, Albert D Osei, Frances M Wang, Yasuyuki Honda, Omar Dzaye, Ngozi Osuji, John Jeffery Carr, Candace M Howard-Claudio and 6 more

Open access · greenAbstract read
In one paragraph

Article in Atherosclerosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.6field-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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 1 country.

Ellen BoakyeJohns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA.
Zeina DardariJohns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA.
Olufunmilayo H ObisesanDepartment of Medicine, MedStar Union Memorial Hospital, Baltimore, MD, USA.
Albert D OseiDepartment of Medicine, MedStar Union Memorial Hospital, Baltimore, MD, USA.
Frances M WangDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Yasuyuki HondaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Omar DzayeJohns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA.
Ngozi OsujiJohns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA.
John Jeffery CarrDepartment of Radiology, Vanderbilt University Medical Centre, Nashville, TN, USA.
Candace M Howard-ClaudioDepartment of Radiology, University of Mississippi Medical Centre, Jackson, MS, USA.
Lynne WagenknechtDepartment of Epidemiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Suma KonetyDivision of Cardiology, University of Minnesota Medical School, Minneapolis, MN, USA.
Josef CoreshDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kunihiro MatsushitaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Michael J BlahaJohns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA. Electronic address: mblaha1@jhmi.edu.
Seamus P WheltonJohns Hopkins Ciccarone Centre for the Prevention of Cardiovascular Diseases, Baltimore, MD, USA.
Johns Hopkins University · USMedStar Union Memorial Hospital · USUniversity of Minnesota Medical Center · USUniversity of Mississippi Medical Center · USVanderbilt University Medical Center · USWake Forest University · US

Funding

CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
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
SUBCLINICAL CARDIOVASCULAR DISEASE STUDY-FIELD CENTERN01HC095162 · HC · JOHNS HOPKINS UNIVERSITY · PI SZKLO, MOYSES A · 1999 to 2000
$694k
Modeling Aortic Valve Calcification and Risk of Aortic Valve Events In Asymptomatic Individuals from the Multi-Ethnic Study of AtherosclerosisR21HL150458 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI WHELTON, SEAMUS PAUL · 2020 to 2021
$254k
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 N01 HC095162NHLBI NIH HHS R01 HL136592NHLBI NIH HHS R21 HL150458NHLBI NIH HHS T32 HL007024
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe prevalence of aortic valve calcification (AVC) increases with age. However, the sex-and race-specific burden of AVC and associated cardiovascular risk factors among adults ≥75 years are not well studied.

methodsWe calculated the sex-and race-specific burden of AVC among 2283 older Black and White adults (mean age:80.5 [SD:4.3] years) without overt coronary heart disease from the Atherosclerosis Risk in Communities Study who underwent non-contrast cardiac-gated CT-imaging at visit 7 (2018-2019). Using Poisson regression with robust variance, we calculated the adjusted prevalence ratios (aPR) of the association of AVC with cardiovascular risk factors.

resultsThe overall AVC prevalence was 44.8%, with White males having the highest prevalence at 58.2%. The prevalence was similar for Black males (40.5%), White females (38.9%), and Black females (36.8%). AVC prevalence increased significantly with age among all race-sex groups. The probability of any AVC at age 80 years was 55.4%, 40.0%, 37.3%, and 36.2% for White males, Black males, White females, and Black females, respectively. Among persons with prevalent AVC, White males had the highest median AVC score (100.9 Agatston Units [AU]), followed by Black males (68.5AU), White females (52.3AU), and Black females (46.5AU). After adjusting for cardiovascular risk factors, Black males (aPR:0.53; 95%CI:0.33-0.83), White females (aPR:0.68; 95%CI:0.61-0.77), and Black females (aPR:0.49; 95%CI:0.31-0.77) had lower AVC prevalence compared to White males. In addition, systolic blood pressure, non-HDL-cholesterol, and lipoprotein (a) were independently associated with AVC, with no significant race/sex interactions.

conclusionsAVC, although highly prevalent, was not universally present in this cohort of older adults. White males had ∼50-60% higher prevalence than other race-sex groups. Moreover, cardiovascular risk factors measured in older age showed significant association with AVC.

Indexed as

Aortic Valve StenosisAtherosclerosisCoronary Artery DiseaseAgedAged, 80 and overAortic ValveCalcinosisFemaleHumansLipoprotein(a)MaleRisk FactorsLipoprotein(a)Aortic valve calcificationCardiovascular risk factorsOlder adultsPrevalenceRaceSex

Identifiers

PMID35718559
PMCPMC11309802
OpenAlexW4282843117

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Registered trials

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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.