Evidence map›Paper›PMID 37191882›Full record

ArticleJournal of cardiovascular translational research2023

Evaluation of a New Aptamer-Based Array for Soluble Suppressor of Tumorgenicity (ST2) and N-terminal Pro-B-Type Natriuretic Peptide (NTproBNP) in Heart Failure Patients.

Joseph Debbs, Bashar Hannawi, Edward Peterson, Hongsheng Gui, Nicole Zeld, Jasmine A Luzum, Hani N Sabbah, James Snider, Yigal M Pinto, L Keoki Williams and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cardiovascular translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

11 authors at 4 institutions in 2 countries.

Joseph DebbsCenter for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Bashar HannawiHeart and Vascular Institute, Henry Ford Hospital, Detroit, MI, USA.
Edward PetersonDepartment of Public Health Sciences, Henry Ford Hospital, Detroit, MI, USA.
Hongsheng GuiCenter for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Nicole ZeldCenter for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Jasmine A LuzumCenter for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
Hani N SabbahHeart and Vascular Institute, Henry Ford Hospital, Detroit, MI, USA.
James SniderCritical Diagnostics Inc, San Diego, CA, USA.
Yigal M PintoDepartment of Cardiology, University of Amsterdam, Amsterdam, the Netherlands.
L Keoki WilliamsCenter for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
David E LanfearCenter for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA. dlanfea1@hfhs.org.ORCID 0000-0001-6471-1483
Henry Ford Hospital · USCritical Innovations (United States) · USUniversity of Amsterdam · NLUniversity of Michigan · US

Funding

ACHIEVE P3 - CHDP50MD017351 · NIMHD · WAYNE STATE UNIVERSITY · PI BADR, M.SAFWAN · 2021 to 2025
$21.1M
Precision Medicine for Heart Failure: The Role of Genomics in the Efficacy and Racial Disparity of Cornerstone PharmacotherapyK08HL146990 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUZUM, JASMINE A · 2019 to 2023
$772k
NHLBI NIH HHS K08 HL146990NIMHD NIH HHS P50 MD017351
6 · The paper itself

Abstract

backgroundRecent advances in multi-marker platforms offer faster data generation, but the fidelity of these methods compared to the ELISA is not established. We tested the correlation and predictive performance of SOMAscan vs. ELISA methods for NTproBNP and ST2.

methodsPatients ≥ 18 years with heart failure and ejection fraction < 50% were enrolled. We tested the correlation between SOMA and ELISA for each biomarker and their association with outcomes.

resultsThere was good correlation of SOMA vs. ELISA for ST2 (ρ = 0.71) and excellent correlation for NTproBNP (ρ = 0.94). The two versions of both markers were not significantly different regarding survival association. The two ST2 assays and NTproBNP assays were similarly associated with all-cause mortality and cardiovascular mortality. These associations remained statistically significant when adjusted for MAGGIC risk score (all p < 0.05).

conclusionSOMAscan quantifications of ST2 and NTproBNP correlate to ELISA versions and carry similar prognosis.

Indexed as

Heart FailureNatriuretic Peptide, BrainBiomarkersHumansInterleukin-1 Receptor-Like 1 ProteinPeptide FragmentsPrognosisBiomarkersInterleukin-1 Receptor-Like 1 ProteinNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)BiomarkersELISAHeart failurePrognosisProteomics

Identifiers

PMID37191882
PMCPMC10651796
OpenAlexW4376640771

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.