Evidence map›Paper›PMID 39196201›Full record

ArticleNature cardiovascular research2024

Markers of imminent myocardial infarction.

Stefan Gustafsson, Erik Lampa, Karin Jensevik Eriksson, Adam S Butterworth, Sölve Elmståhl, Gunnar Engström, Kristian Hveem, Mattias Johansson, Arnulf Langhammer, Lars Lind and 15 more

Abstract readMulticenter Study
In one paragraph

Article in Nature cardiovascular research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Stefan Gustafsson *Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Erik Lampa *Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Karin Jensevik ErikssonUppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.ORCID 0000-0003-1946-7068
Adam S ButterworthBHF Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-6915-9015
Sölve ElmståhlDepartment of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden.
Gunnar EngströmDepartment of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden.
Kristian HveemK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Mattias JohanssonGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Arnulf LanghammerK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Lars LindDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Kristi LällEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Giovanna MasalaClinical Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.
Andres MetspaluEstonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Conchi Moreno-IribasNavarra Public Health Institute, Pamplona, Spain.
Peter M NilssonDepartment of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden.
Markus PerolaFinnish Institute for Health and Welfare, Helsinki, Finland.
Birgit SimellFinnish Institute for Health and Welfare, Helsinki, Finland.
Hemmo SipsmaLifelines Cohort Study, Groningen, Netherlands.
Bjørn Olav ÅsvoldK.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
Erik IngelssonDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Ulf HammarDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Andrea GannaInstitute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland.
Bodil SvennbladUppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Tove FallDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Johan SundströmDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden. johan.sundstrom@uu.se.ORCID 0000-0003-2247-8454

Funding

AFA Försäkring (AFA Insurance Foundation) 160266Hjärt-Lungfonden (Swedish Heart-Lung Foundation) 20160734Medical Research Council G1000143Vetenskapsrådet (Swedish Research Council) 2016-01065World Health Organization 001
6 · The paper itself

Abstract

Myocardial infarction is a leading cause of death globally but is notoriously difficult to predict. We aimed to identify biomarkers of an imminent first myocardial infarction and design relevant prediction models. Here, we constructed a new case-cohort consortium of 2,018 persons without prior cardiovascular disease from six European cohorts, among whom 420 developed a first myocardial infarction within 6 months after the baseline blood draw. We analyzed 817 proteins and 1,025 metabolites in biobanked blood and 16 clinical variables. Forty-eight proteins, 43 metabolites, age, sex and systolic blood pressure were associated with the risk of an imminent first myocardial infarction. Brain natriuretic peptide was most consistently associated with the risk of imminent myocardial infarction. Using clinically readily available variables, we devised a prediction model for an imminent first myocardial infarction for clinical use in the general population, with good discriminatory performance and potential for motivating primary prevention efforts.

Indexed as

BiomarkersMyocardial InfarctionAdultAgedBlood PressureEuropeFemaleHumansMaleMiddle AgedNatriuretic Peptide, BrainPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsTime FactorsBiomarkersNatriuretic Peptide, Brain

Identifiers

PMID39196201
PMCPMC11357982

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.