Evidence map›Paper›PMID 36631210›Full record

ArticleJournal of the American College of Cardiology2023

Improving Risk Stratification for Patients With Type 2 Myocardial Infarction.

Caelan Taggart, Karla Monterrubio-Gómez, Andreas Roos, Jasper Boeddinghaus, Dorien M Kimenai, Erik Kadesjo, Anda Bularga, Ryan Wereski, Amy Ferry, Matthew Lowry and 11 more

Registry-linked trialOpen access · hybridAbstract readMulticenter Study
In one paragraph

Article in Journal of the American College of Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01852123 (High-Sensitivity Troponin in the Evaluation of Patients With Acute Coronary Syndrome), which is not on this map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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.

NCT01852123 nacompletednot on this map

High-Sensitivity Troponin in the Evaluation of Patients With Acute Coronary Syndrome: A Randomized Controlled Trial

TypeinterventionalSponsorUniversity of EdinburghRan2013 to 2017Enrolled48,282ConditionsAcute Coronary Syndrome, Myocardial InfarctionArmsHigh-sensitivity troponin I assay
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Clinical impact and predictors of periprocedural myocardial injury among patients undergoing left bundle branch area pacing.Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing · 2024
    Article
  9. Article
  10. Detectable troponin below the 99International journal of cardiology. Heart & vasculature · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors at 7 institutions in 3 countries.

Caelan TaggartBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Karla Monterrubio-GómezMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom.
Andreas RoosDepartment of Medicine, Clinical Epidemiology Division, Karolinska Institute, Stockholm, Sweden; Department of Emergency and Reparative Medicine, Karolinska University Hospital, Stockholm, Sweden.
Jasper BoeddinghausBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Dorien M KimenaiBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Erik KadesjoDepartment of Medicine, Clinical Epidemiology Division, Karolinska Institute, Stockholm, Sweden; Department of Medicine, Karolinska Institute, Stockholm, Sweden.
Anda BulargaBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Ryan WereskiBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Amy FerryBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Matthew LowryBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Atul AnandBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Kuan Ken LeeBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Dimitrios DoudesisBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Ioanna ManolopoulouDepartment of Statistical Sciences, University College London, London, United Kingdom.
Thomas NestelbergerCardiovascular Research Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland.
Luca KoechlinCardiovascular Research Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland.
Pedro Lopez-AyalaCardiovascular Research Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland.
Christian MuellerCardiovascular Research Institute Basel (CRIB), University Hospital Basel, Basel, Switzerland.
Nicholas L MillsBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom; Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
Catalina A VallejosMRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom; The Alan Turing Institute, London, United Kingdom.
Andrew R ChapmanBHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom. Electronic address: a.r.chapman@ed.ac.uk.
University of Edinburgh · GBUniversity Hospital of Basel · CHInstitute of Genetics and Cancer · GBKarolinska Institutet · SEKarolinska University Hospital · SEThe Alan Turing Institute · GBUniversity College London · GB

Funding

British Heart Foundation BCDSA/100003British Heart Foundation CH/F/21/90010British Heart Foundation FS/CRTF/21/24273British Heart Foundation FS/CRTF/21/2473British Heart Foundation RE/18/5/34216British Heart Foundation RG/20/10/34966British Heart Foundation SP/12/10/29922British Heart Foundation SP/18/2/33800Medical Research Council MR/V007017/1Medical Research Council MR/V007254/1Medical Research Council MR/W000598/1
6 · The paper itself

Abstract

backgroundDespite poor cardiovascular outcomes, there are no dedicated, validated risk stratification tools to guide investigation or treatment in type 2 myocardial infarction.

objectivesThe goal of this study was to derive and validate a risk stratification tool for the prediction of death or future myocardial infarction in patients with type 2 myocardial infarction.

methodsThe T2-risk score was developed in a prospective multicenter cohort of consecutive patients with type 2 myocardial infarction. Cox proportional hazards models were constructed for the primary outcome of myocardial infarction or death at 1 year using variables selected a priori based on clinical importance. Discrimination was assessed by area under the receiving-operating characteristic curve (AUC). Calibration was investigated graphically. The tool was validated in a single-center cohort of consecutive patients and in a multicenter cohort study from sites across Europe.

resultsThere were 1,121, 250, and 253 patients in the derivation, single-center, and multicenter validation cohorts, with the primary outcome occurring in 27% (297 of 1,121), 26% (66 of 250), and 14% (35 of 253) of patients, respectively. The T2-risk score incorporating age, ischemic heart disease, heart failure, diabetes mellitus, myocardial ischemia on electrocardiogram, heart rate, anemia, estimated glomerular filtration rate, and maximal cardiac troponin concentration had good discrimination (AUC: 0.76; 95% CI: 0.73-0.79) for the primary outcome and was well calibrated. Discrimination was similar in the consecutive patient (AUC: 0.83; 95% CI: 0.77-0.88) and multicenter (AUC: 0.74; 95% CI: 0.64-0.83) cohorts. T2-risk provided improved discrimination over the Global Registry of Acute Coronary Events 2.0 risk score in all cohorts.

conclusionsThe T2-risk score performed well in different health care settings and could help clinicians to prognosticate, as well as target investigation and preventative therapies more effectively. (High-Sensitivity Troponin in the Evaluation of Patients With Suspected Acute Coronary Syndrome [High-STEACS]; NCT01852123).

Indexed as

Anterior Wall Myocardial InfarctionDiabetes Mellitus, Type 2Myocardial InfarctionCohort StudiesHumansPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentRisk FactorsTroponin ITroponin Irisk predictiontype 2 myocardial infarction

Identifiers

PMID36631210
PMCPMC9841577
OpenAlexW4313854302

What OpenQuestion holds

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LicenceCC BY
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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.