Evidence map›Paper›PMID 42016515›Full record

ArticleInternational journal of cardiology. Heart & vasculature2026

Multi-biomarker approach for predicting cardiac magnetic resonance parameters at 30 days after ST-segment elevation myocardial infarction.

Tim Horbach, Florian A Wenzl, Robert Manka, Lorenz Räber, David Carballo, Till Keller, Samuel Sossalla, Frank Ruschitzka, Arnold von Eckardstein, Barbara E Stähli and 2 more

Abstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2026. 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
–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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

12 authors.

Tim HorbachDepartment of Cardiology, Kerckhoff Heart and Thorax Center, Kerckhoff-Klinik, Bad Nauheim, Germany.
Florian A WenzlNational Disease Registration Service, NHS, 10 South Colonnade, Canary Wharf, London, United Kingdom.
Robert MankaDepartment of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich Switzerland.
Lorenz RäberDepartment of Cardiology, Cardiovascular Center, University Hospital Bern, Bern, Switzerland.
David CarballoDepartment of Cardiology, Geneva University Hospital, Geneva, Switzerland.
Till KellerDepartment of Cardiology, Kerckhoff Heart and Thorax Center, Kerckhoff-Klinik, Bad Nauheim, Germany.
Samuel SossallaDepartment of Cardiology, Kerckhoff Heart and Thorax Center, Kerckhoff-Klinik, Bad Nauheim, Germany.
Frank RuschitzkaDepartment of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich Switzerland.
Arnold von EckardsteinInstitute of Clinical Chemistry, University Hospital Zurich and University of Zurich, Zurich, Switzerland.
Barbara E StähliDepartment of Cardiology, University Heart Center, University Hospital Zurich, University of Zurich, Zurich Switzerland.
Thomas F LüscherNational Disease Registration Service, NHS, 10 South Colonnade, Canary Wharf, London, United Kingdom.
Roland KlingenbergDepartment of Cardiology, Kerckhoff Heart and Thorax Center, Kerckhoff-Klinik, Bad Nauheim, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Established biomarkers are used for risk stratification after STEMI, but their relationship with cardiac magnetic resonance (CMR)-derived infarct characteristics at 30 days remains incompletely understood. Because 30-day CMR reflects an intermediate post-infarction stage between acute myocardial injury and the later chronic infarct state, we evaluated whether baseline high-sensitivity troponin T (hsTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), cellular communication network factor 1 (CCN1), and proprotein convertase subtilisin/kexin type 9 (PCSK9) are associated with 30-day CMR parameters. Methods: In this pre-specified CLEVER-ACS substudy, associations between baseline biomarkers and 30-day CMR parameters were assessed using Spearman correlation. Receiver operating characteristic (ROC) analysis with area under the curve (AUC) was performed for associations after median dichotomization. Exploratory analyses assessed associations with relative CMR changes. Results: 56 STEMI patients were analyzed. hsTnT and NT-proBNP showed the strongest association pattern across functional, structural, volumetric, and microvascular 30-day CMR parameters. CCN1 was associated only with left ventricular ejection fraction (LVEF), and PCSK9 showed no significant associations. hsTnT and NT-proBNP showed relevant discriminatory performance for parameters including LVEF (AUC 0.79, 95% CI 0.67-0.91, and 0.81 [0.69-0.93]), left ventricular scar (0.87 [0.77-0.96] and 0.76 [0.63-0.89]), scar mass (0.84 [0.74-0.95] and 0.79 [0.67-0.91]), and microvascular obstruction (0.72 [0.56-0.87] and 0.71 [0.55-0.86]), respectively. Exploratory analyses linked only hsTnT and NT-proBNP to changes in CMR parameters. Conclusions: Baseline hsTnT and NT-proBNP showed strong associations with 30-day CMR parameters after STEMI, whereas CCN1 and PCSK9 provided no discriminatory value in this intermediate post-infarction stage.

Indexed as

Acute coronary syndromeBiomarkersCardiac magnetic resonanceClinical Trial

Identifiers

PMID42016515
PMCPMC13092474

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.