Evidence map›Paper›PMID 35149868›Full record

ArticleEuropean heart journal. Acute cardiovascular care2022

A 0/1h-algorithm using cardiac myosin-binding protein C for early diagnosis of myocardial infarction.

Thomas E Kaier, Raphael Twerenbold, Pedro Lopez-Ayala, Thomas Nestelberger, Jasper Boeddinghaus, Bashir Alaour, Iris-Martina Huber, Yuan Zhi, Luca Koechlin, Desiree Wussler and 12 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in European heart journal. Acute cardiovascular care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00470587 (Advantageous Predictors of Acute Coronary Syndromes Evaluation), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 10% 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.

NCT00470587 completednot on this map

Advantageous Predictors of Acute Coronary Syndromes Evaluation (APACE) Study

TypeobservationalSponsorUniversity Hospital, Basel, SwitzerlandRan2006 to 2025Enrolled10,000ConditionsMyocardial Infarction, Angina, Unstable
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 15 citations in OpenAlex.

  1. Occlusion myocardial infarction in type I NSTEMI: prevalence, characteristics, management, and long-term outcome.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  2. Review
  3. Cardiac myosin-binding protein C in ST-elevation myocardial infarction.European heart journal. Acute cardiovascular care · 2026
    Article
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  5. Article
  6. Review
  7. Article
  8. Article
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  10. Article
  11. Observational
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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

22 authors at 6 institutions in 6 countries.

Thomas E KaierKing's College London BHF Centre, The Rayne Institute, St Thomas' Hospital, London, UK.ORCID 0000-0002-4669-2095
Raphael TwerenboldDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.ORCID 0000-0003-3814-6542
Pedro Lopez-AyalaDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.ORCID 0000-0002-7787-0640
Thomas NestelbergerDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.ORCID 0000-0003-2173-5738
Jasper BoeddinghausDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Bashir AlaourKing's College London BHF Centre, The Rayne Institute, St Thomas' Hospital, London, UK.ORCID 0000-0001-5604-1096
Iris-Martina HuberDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Yuan ZhiDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Luca KoechlinDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.ORCID 0000-0002-2929-8600
Desiree WusslerDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.ORCID 0000-0002-1793-5297
Karin WildiDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Samyut ShresthaDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Ivo StrebelDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Oscar MiroDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Javier F Martín-SánchezDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Michael ChristGREAT Network.
Damien KaweckiDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.
Dagmar I KellerEmergency Department, University Hospital Zurich, Zurich, Switzerland.
Maria Rubini GimenezDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.ORCID 0000-0003-2384-8250
Michael MarberKing's College London BHF Centre, The Rayne Institute, St Thomas' Hospital, London, UK.
Christian MuellerDepartment of Cardiology, Cardiovascular Research Institute Basel (CRIB), University Hospital Basel, University of Basel, Petersgraben 4, CH-4031 Basel, Switzerland.ORCID 0000-0002-1120-6405
APACE Investigators
University of Basel · CHSt Thomas' Hospital · GBLuzerner Kantonsspital · CHThe University of Queensland · AUUniversity Hospital of Zurich · CHUniversity of British Columbia · CA

Funding

British Heart Foundation FS/15/13/31320British Heart Foundation TG/15/1/31518, FS/15/13/31320Medical Research Council G1000737Swiss National Science Foundation
6 · The paper itself

Abstract

aimsCardiac myosin-binding protein C (cMyC) demonstrated high diagnostic accuracy for the early detection of non-ST-elevation myocardial infarction (NSTEMI). Its dynamic release kinetics may enable a 0/1h-decision algorithm that is even more effective than the ESC hs-cTnT/I 0/1 h rule-in/rule-out algorithm. METHODS AND

resultsIn a prospective international diagnostic study enrolling patients presenting with suspected NSTEMI to the emergency department, cMyC was measured at presentation and after 1 h in a blinded fashion. Modelled on the ESC hs-cTnT/I 0/1h-algorithms, we derived a 0/1h-cMyC-algorithm. Final diagnosis of NSTEMI was centrally adjudicated according to the 4th Universal Definition of Myocardial Infarction. Among 1495 patients, the prevalence of NSTEMI was 17%. The optimal derived 0/1h-algorithm ruled-out NSTEMI with cMyC 0 h concentration below 10 ng/L (irrespective of chest pain onset) or 0 h cMyC concentrations below 18 ng/L and 0/1 h increase <4 ng/L. Rule-in occurred with 0 h cMyC concentrations of at least 140 ng/L or 0/1 h increase ≥15 ng/L. In the validation cohort (n = 663), the 0/1h-cMyC-algorithm classified 347 patients (52.3%) as 'rule-out', 122 (18.4%) as 'rule-in', and 194 (29.3%) as 'observe'. Negative predictive value for NSTEMI was 99.6% [95% confidence interval (CI) 98.9-100%]; positive predictive value 71.1% (95% CI 63.1-79%). Direct comparison with the ESC hs-cTnT/I 0/1h-algorithms demonstrated comparable safety and even higher triage efficacy using the 0h-sample alone (48.1% vs. 21.2% for ESC hs-cTnT-0/1 h and 29.9% for ESC hs-cTnI-0/1 h; P < 0.001).

conclusionThe cMyC 0/1h-algorithm provided excellent safety and identified a greater proportion of patients suitable for direct rule-out or rule-in based on a single measurement than the ESC 0/1h-algorithm using hs-cTnT/I.

trial registrationClinicalTrials.gov number, NCT00470587.

Indexed as

Myocardial InfarctionNon-ST Elevated Myocardial InfarctionAlgorithmsBiomarkersCarrier ProteinsEarly DiagnosisHumansMyosin Binding Protein CProspective StudiesTroponin TBiomarkersCarrier ProteinsMyosin Binding Protein CTroponin TAPACECardiac myosin-binding protein CcMyCMyocardial infarctionTroponin ITroponin T

Identifiers

PMID35149868
PMCPMC9173679
OpenAlexW4210528009

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Registered trials

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.