Evidence map›Paper›PMID 31047008›Full record

ArticleJournal of the American College of Cardiology2019

Accelerating Biomarker Discovery Through Electronic Health Records, Automated Biobanking, and Proteomics.

Quinn S Wells, Deepak K Gupta, J Gustav Smith, Sean P Collins, Alan B Storrow, Jane Ferguson, Maya Landenhed Smith, Jill M Pulley, Sarah Collier, Xiaoming Wang and 3 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of the American College of Cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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  7. The Role of Thrombospondin-2 in Myocardial Fibrosis.Drug design, development and therapy · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 2 countries.

Quinn S WellsVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, Tennessee; Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Deepak K GuptaVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, Tennessee; Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee. Electronic address: d.gupta@vanderbilt.edu.
J Gustav SmithDepartment of Cardiology, Clinical Sciences, Lund University and Skane University Hospital, Lund, Sweden.
Sean P CollinsDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Alan B StorrowDepartment of Emergency Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Jane FergusonVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, Tennessee; Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Maya Landenhed SmithDepartment of Cardiothoracic Surgery, Clinical Sciences, Lund University and Skane University Hospital, Lund, Sweden.
Jill M PulleyVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee.
Sarah CollierVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee.
Xiaoming WangVanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, Tennessee.
Dan M RodenDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee; Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
Robert E GersztenDivision of Cardiovascular Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
Thomas J WangVanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, Tennessee; Division of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Vanderbilt University Medical Center · USLund University · SEBeth Israel Deaconess Medical Center · US

Funding

Proteomics of Cardiometabolic and Renal Traits in African AmericansR01HL133870 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI ROBERT E GERSZTEN · 2017 to 2026
$6.7M
The Vanderbilt Emergency Medicine Research Training Program (VEMRT)K12HL109019 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COLLINS, SEAN PATRICK, STORROW, ALAN B · 2011 to 2015
$3.7M
Proteomic Pathway Discovery in Cardiovascular DiseaseR01HL132320 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GERSZTEN, ROBERT E, RAMACHANDRAN, VASAN S · 2016 to 2019
$3.4M
Genomic and Phenomic Architecture of Heart FailureR01HL140074 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WELLS, QUINN STANTON · 2018 to 2022
$2.0M
The natriuretic peptide system in African-AmericansK23HL128928 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GUPTA, DEEPAK · 2016 to 2019
$737k
BioVU Plasma Storage EquipmentS10OD017985 · OD · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2014 to 2014
$239k
NHLBI NIH HHS K12 HL109019NHLBI NIH HHS K23 HL128928NHLBI NIH HHS R01 HL132320NHLBI NIH HHS R01 HL133870NHLBI NIH HHS R01 HL140074NIH HHS S10 OD017985
6 · The paper itself

Abstract

backgroundCirculating biomarkers can facilitate diagnosis and risk stratification for complex conditions such as heart failure (HF). Newer molecular platforms can accelerate biomarker discovery, but they require significant resources for data and sample acquisition.

objectivesThe purpose of this study was to test a pragmatic biomarker discovery strategy integrating automated clinical biobanking with proteomics.

methodsUsing the electronic health record, the authors identified patients with and without HF, retrieved their discarded plasma samples, and screened these specimens using a DNA aptamer-based proteomic platform (1,129 proteins). Candidate biomarkers were validated in 3 different prospective cohorts.

resultsIn an automated manner, plasma samples from 1,315 patients (31% with HF) were collected. Proteomic analysis of a 96-patient subset identified 9 candidate biomarkers (p < 4.42 × 10

conclusionsA novel strategy integrating electronic health records, discarded clinical specimens, and proteomics identified 2 biomarkers that robustly predict HF across diverse clinical settings. This approach could accelerate biomarker discovery for many diseases.

Indexed as

Academic Medical CentersAccelerationAgedAutomationBiological Specimen BanksBiomarkersCohort StudiesElectronic Health RecordsFemaleHeart FailureHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesProteomicsBiomarkersThrombospondin 2Thrombospondinsbiomarkerselectronic health recordsheart failureproteomics

Identifiers

PMID31047008
PMCPMC6501811
OpenAlexW2942868820

What OpenQuestion holds

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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.