Evidence map›Paper›PMID 32926842›Full record

ArticleClinica chimica acta; international journal of clinical chemistry2020

Suppression tumorigenicity 2 (ST2) turbidimetric immunoassay compared to enzyme-linked immunosorbent assay in predicting survival in heart failure patients with reduced ejection fraction.

Lindsey Aurora, Edward Peterson, Hongsheng Gui, Nicole Zeld, James McCord, Yigal Pinto, Bernard Cook, Hani N Sabbah, L Keoki Williams, James Snider and 1 more

Open access · greenAbstract read
In one paragraph

Article in Clinica chimica acta; international journal of clinical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Cardiac Biomarkers in Chronic Kidney Disease: Signal or Noise?Clinical journal of the American Society of Nephrology : CJASN · 2026
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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.

Lindsey AuroraHeart and Vascular Institute, Henry Ford Health System, 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.
James McCordHeart and Vascular Institute, Henry Ford Health System, Detroit, MI, USA.
Yigal PintoDepartment of Cardiology, University of Amsterdam, Amsterdam, the Netherlands.
Bernard CookDepartment of Laboratory Medicine, Henry Ford Hospital, Detroit, MI, USA.
Hani N SabbahHeart and Vascular Institute, Henry Ford Health System, Detroit, MI, USA.
L Keoki WilliamsCenter for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA.
James SniderCritical Diagnostics Inc., San Diego, CA, USA.
David E LanfearHeart and Vascular Institute, Henry Ford Health System, Detroit, MI, USA; Center for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Hospital, Detroit, MI, USA. Electronic address: dlanfea1@hfhs.org.
Henry Ford Hospital · USHenry Ford Health System · USCritical Innovations (United States) · USUniversity of Amsterdam · NL

Funding

Substrate Selection and Oxidative Stress in Heart FailureP01HL074237 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI STANLEY, WILLIAM C · 2003 to 2013
$19.9M
PHARMACOGENOMICS OF INHALED CORTICOSTEROID RESPONSIVENESS IN PATIENTS WITH ASTHMAR01AI079139 · NIAID · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2009 to 2013
$3.9M
Impact of Race and Genetic Factors on Beta-blocker Effectiveness in Heart FailureR01HL103871 · NHLBI · HENRY FORD HEALTH SYSTEM · PI LANFEAR, DAVID E · 2011 to 2015
$3.5M
Leveraging electronic medical records to perform large-scale diabetes pharmacogenomics among ancestrally diverse patient populationsR01DK113003 · NIDDK · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2017 to 2021
$3.2M
Plasma Metabolomics and Myocardial Energetics in Heart FailureR01HL132154 · NHLBI · HENRY FORD HEALTH SYSTEM · PI LANFEAR, DAVID E, SABBAH, HANI N · 2017 to 2020
$3.1M
Poly-omic Study of Asthma Exacerbations in Diverse PopulationsR01HL141845 · NHLBI · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2019 to 2022
$3.0M
Combined Transcriptomics and Genomics to Find Asthma Genes in Admixed PopulationsR01HL118267 · NHLBI · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2014 to 2017
$2.9M
VALIDATION OF ADHERENCE DATA--USE IN CLINICAL PRACTICER01DK064695 · NIDDK · HENRY FORD HEALTH SYSTEM · PI WILLIAMS, KEOKI · 2003 to 2010
$2.7M
NHLBI NIH HHS P01 HL074237NHLBI NIH HHS R01 HL103871NHLBI NIH HHS R01 HL118267NHLBI NIH HHS R01 HL132154NHLBI NIH HHS R01 HL141845NIAID NIH HHS R01 AI079139NIDDK NIH HHS R01 DK064695NIDDK NIH HHS R01 DK113003
6 · The paper itself

Abstract

backgroundSuppressor of tumorigenicity 2 (ST2) is a powerful marker of prognosis and treatment response in heart failure (HF), however, it is an enzyme-linked immunosorbent assay (ELISA) which may be cumbersome and costly. A turbidimetric immunoassay (TIA) that can run on common chemistry analyzers could overcome this. We studied a novel TIA for ST2, comparing it to commercial ST2 (ELISA).

methodsPatients age ≥ 18 years meeting Framingham definition for HF were enrolled in a prospective registry (Oct 2007 - March 2015) at Henry Ford Hospital and donated blood samples. Participants with reduced ejection fraction (<50%) and available plasma samples were included and valid ST2 measurements were obtained on the same sample using both TIA and ELISA (N = 721). The primary endpoint was all cause death. Correlation between the methods was quantified. The association with survival was tested using unadjusted and adjusted (for MAGGIC score and NTproBNP) Cox models and comparing the Area Under the Curve (AUC).

resultsThe inter-assay Spearman correlation coefficient was 0.77. Nonparametric regression showed no significant proportional difference (slope = 0.97) and a very small systematic difference (3.2 ng/mL). In univariate analyses, both TIA and ELISA ST2 were significant associates of survival with similar effect sizes (HR 4.46 and 3.50, respectively, both p < 0.001). In models adjusted for MAGGIC score, both ST2 remained significant in Cox models and incrementally improved AUC vs. MAGGIC alone (MAGGIC AUC = 0.757; TIA + MAGGIC AUC = 0.786, p = 0.025; ELISA + MAGGIC AUC = 0.793, p = 0.033). In models with both MAGGIC and NTproBNP included, both ST2 still remained significant but did not improve AUC.

conclusionsA novel TIA method for ST2 quantification correlates highly with ELISA and offers similarly powerful risk-stratification.

Indexed as

Heart FailureImmunoturbidimetryAdolescentBiomarkersEnzyme-Linked Immunosorbent AssayHumansInterleukin-1 Receptor-Like 1 ProteinPrognosisStroke VolumeBiomarkersInterleukin-1 Receptor-Like 1 ProteinELISAHeart failureSoluble ST2ST2TIA

Identifiers

PMID32926842
PMCPMC7572613
OpenAlexW3086447954

What OpenQuestion holds

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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.