Article in Circulation. Cardiovascular imaging, 2024. 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
–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.
Omar DzayeJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.).ORCID 0000-0001-9483-3510
Alexander C RazaviJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.).ORCID 0000-0002-3213-0876
Zeina A DardariJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.).ORCID 0000-0001-6026-3329
Frances M WangDepartment of Epidemiology (F.M.W., Y.H., J.C., K.M.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Yasuyuki HondaDepartment of Epidemiology (F.M.W., Y.H., J.C., K.M.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-6710-9890
Khurram NasirDivision of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX (K.N.).ORCID 0000-0001-5376-2269
Josef CoreshDepartment of Epidemiology (F.M.W., Y.H., J.C., K.M.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-4598-0669
Candace M Howard-ClaudioDepartment of Radiology, University of Mississippi Medical Center, Jackson, MS (C.M.H.-C.).ORCID 0000-0001-6537-3551
Jin JinDepartment of Biostatistics (J.J., Z.W., N.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0001-8357-8585
Bing YuHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (B.Y., P.S.V.).ORCID 0000-0003-4818-1077
Paul S de VriesHuman Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (B.Y., P.S.V.).ORCID 0000-0003-0964-0111
Lynne WagenknechtDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC (L.W.).ORCID 0000-0002-9980-0889
Aaron R FolsomDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (A.R.F.).ORCID 0000-0003-2635-2699
Ron BlanksteinCardiovascular Imaging Program, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (R.B.).ORCID 0000-0002-8393-6562
Tanika N KellyDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (T.N.K.).
Seamus P WheltonJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.).ORCID 0000-0001-5914-0735
Martin Bødtker MortensenJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.).
Ziqiao WangDepartment of Biostatistics (J.J., Z.W., N.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0003-3383-8670
Nilanjan ChatterjeeDepartment of Biostatistics (J.J., Z.W., N.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-9060-008X
Kunihiro MatsushitaDepartment of Epidemiology (F.M.W., Y.H., J.C., K.M.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.ORCID 0000-0002-7179-718X
Michael J BlahaJohns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.).ORCID 0000-0001-5138-9683
Funding
Tracking and Evaluation CoreU54GM115428 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI HALL, JOHN E · 2016 to 2025
$38.2M
PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2M
Whole-genome sequencing analysis of coronary atherosclerosis and related traitsR01HL146860 · NHLBI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DE VRIES, PAUL STEFAN · 2020 to 2024
$3.9M
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
Enhancing the Interpretability and Applicability of Polygenic Scores through Multi-Omics Integration and Analysis of Family-Based StudiesK99HG013674 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI WANG, ZIQIAO · 2024 to 2025
$164k
Multidimensional Correlates of Atherosclerotic Resilience in Rural CommunitiesF32HL172499 · NHLBI · EMORY UNIVERSITY · PI RAZAVI, ALEXANDER C. · 2024 to 2024
backgroundCoronary artery calcium (CAC) is heterogeneous in older age and is incompletely explained by traditional atherosclerotic cardiovascular disease risk factors. The extremes of subclinical atherosclerosis burden are strongly associated with either a low or high 10-year risk of incident atherosclerotic cardiovascular disease, respectively. However, the genetic underpinnings of differences in arterial aging remain unclear. We sought to determine the independent association of 2 polygenic scores for coronary heart disease (CHD) with CAC in adults ≥75 years of age.
methodsThere were 1865 ARIC (Atherosclerosis Risk in Communities) participants who underwent genetic testing at visit 1 (1987-1989) and CAC scans at visit 7 (2018-2019). In the primary analysis, an externally derived multi-ancestry polygenic CHD risk score was calculated for both White and Black participants. Results were confirmed using a separate ARIC-derived polygenic CHD risk score, including ≥6 million variants computed for White participants. We used multivariable logistic regression models to assess the association of polygenic CHD risk with CAC, after adjusting for baseline, time-averaged lifestyle, traditional risk factors, and local ancestry principal components.
resultsIn the primary analysis, the average age was 80.6 years old, 61.6% were women, and the median CAC score was 246 (189 participants with CAC=0, 364 participants with CAC≥1000). Compared with persons below the 20th percentile of polygenic CHD risk, persons with polygenic-CHD risk above the 80th percentile had 82% lower odds of having CAC=0 (odds ratio, 0.18 [95% CI, 0.09-0.37]) and had >4-fold higher odds of CAC≥1000 (odds ratio, 4.77 [95% CI, 2.88-7.88]). On a continuous scale, each SD increment increase in the polygenic risk score was associated with a 78% higher CAC score. Results were nearly identical using a second confirmatory polygenic CHD risk score in White participants.
conclusionsPolygenic CHD risk is robustly associated with a lower prevalence of CAC=0 and a higher prevalence of CAC≥1000 in adults ≥75 years of age, beyond lifestyle and traditional risk factors. These results suggest a heritable contribution to distinct healthy and unhealthy arterial aging phenotypes that persist throughout the life course.
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.
Polygenic Risk Scores and Extreme Coronary Artery Calcium Phenotypes (CAC=0 and CAC≥1000) in Adults ≥75 Years Old: The ARIC Study. · full record | OpenQuestion