Evidence map›Paper›PMID 30006491›Full record

ArticleJournal of the American Heart Association2018

Protein Biomarkers of Cardiovascular Disease and Mortality in the Community.

Jennifer E Ho, Asya Lyass, Paul Courchesne, George Chen, Chunyu Liu, Xiaoyan Yin, Shih-Jen Hwang, Joseph M Massaro, Martin G Larson, Daniel Levy

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
165citing papers in PubMed, 6 pooled it
19.0field-weighted citation impact, top 1% 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

165 citing papers in PubMed, 6 syntheses or guidelines pooled it, 266 citations in OpenAlex.

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105 more citing papers are in PubMed but not listed here.

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

10 authors at 5 institutions in 1 country.

Jennifer E HoDivision of Cardiology, Department of Medicine and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA jho1@mgh.harvard.edu.
Asya LyassDepartment of Mathematics and Statistics, Boston University, Boston, MA.
Paul CourchesneNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
George ChenNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Chunyu LiuNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Xiaoyan YinNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Shih-Jen HwangNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Joseph M MassaroNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
Martin G LarsonDepartment of Mathematics and Statistics, Boston University, Boston, MA.
Daniel LevyNational Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, MA.
National Heart Lung and Blood Institute · USBoston University · USFramingham Heart Study · USMassachusetts General Hospital · USNaval Research Laboratory Information Technology Division

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
Eicosanoid Profiles as Determinants of HFpEFR01HL140224 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HO, JENNIFER E · 2018 to 2021
$3.1M
The Role of Galectin-3 in Cardiac Remodeling and Heart FailureK23HL116780 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HO, JENNIFER E · 2013 to 2017
$832k
NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS K23 HL116780NHLBI NIH HHS R01 HL140224
6 · The paper itself

Abstract

backgroundThe discovery of novel and highly predictive biomarkers of cardiovascular disease (CVD) has the potential to improve risk-stratification methods and may be informative regarding biological pathways contributing to disease. METHODS AND

resultsWe used a discovery proteomic platform that targeted high-value proteins for CVD to ascertain 85 circulating protein biomarkers in 3523 Framingham Heart Study participants (mean age, 62 years; 53% women). Using multivariable-adjusted Cox models to account for clinical variables, we found 8 biomarkers associated with incident atherosclerotic CVD, 18 with incident heart failure, 38 with all-cause mortality, and 35 with CVD death (false discovery rate, q<0.05 for all;

conclusionsWe identified numerous protein biomarkers that predicted cardiovascular outcomes and all-cause mortality, including biomarkers representing regulators of metabolic homeostasis and inflammatory pathways. Further studies are needed to validate our findings and define clinical utility, with the ultimate goal of improving strategies for CVD prevention.

Indexed as

ProteomicsAgedAtherosclerosisBiomarkersCardiovascular DiseasesCause of DeathFemaleHeart FailureHumansIncidenceIndependent LivingLongitudinal StudiesMaleMiddle AgedMortalityProportional Hazards ModelsBiomarkerscardiovascular disease risk factorsepidemiologyproteomics

Identifiers

PMID30006491
PMCPMC6064847
OpenAlexW2883061610

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.