Evidence map›Paper›PMID 38358949›Full record

ArticlePLoS medicine2024

Health outcomes after myocardial infarction: A population study of 56 million people in England.

Marlous Hall, Lesley Smith, Jianhua Wu, Chris Hayward, Jonathan A Batty, Paul C Lambert, Harry Hemingway, Chris P Gale

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
10.5field-weighted citation impact, top 1% 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

19 citing papers in PubMed, 26 citations in OpenAlex.

  1. A systematic review and meta-analyses of glucagon-like peptide-1 receptor agonists in acute myocardial infarction.The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology · 2026
    Review
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  19. Interactive deep learning for myocardial scar segmentation using cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Article
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

8 authors at 3 institutions in 3 countries.

Marlous HallLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.ORCID 0000-0003-1246-2627
Lesley SmithLeeds Institute for Health Sciences, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-4280-6323
Jianhua WuLeeds Institute for Data Analytics, University of Leeds, Leeds, United Kingdom.ORCID 0000-0001-6093-599X
Chris HaywardLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
Jonathan A BattyLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.ORCID 0000-0003-4102-5418
Paul C LambertBiostatistics Research Group, Department of Population Health Sciences, University of Leicester, Leicester, United Kingdom.
Harry HemingwayInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0003-2279-0624
Chris P GaleLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom.
University of Leeds · GBUCL Biomedical Research Centre · GBUniversity of Leicester · GB

Funding

British Heart Foundation PG/19/54/34511British Heart Foundation- BHF-TURING-19/02/1022Sir Henry Wellcome Postdoctoral Fellowship 206470/Z/17/ZWellcome TrustWellcome Trust 227498/Z/23/Z
6 · The paper itself

Abstract

backgroundThe occurrence of a range of health outcomes following myocardial infarction (MI) is unknown. Therefore, this study aimed to determine the long-term risk of major health outcomes following MI and generate sociodemographic stratified risk charts in order to inform care recommendations in the post-MI period and underpin shared decision making. METHODS AND

findingsThis nationwide cohort study includes all individuals aged ≥18 years admitted to one of 229 National Health Service (NHS) Trusts in England between 1 January 2008 and 31 January 2017 (final follow-up 27 March 2017). We analysed 11 non-fatal health outcomes (subsequent MI and first hospitalisation for heart failure, atrial fibrillation, cerebrovascular disease, peripheral arterial disease, severe bleeding, renal failure, diabetes mellitus, dementia, depression, and cancer) and all-cause mortality. Of the 55,619,430 population of England, 34,116,257 individuals contributing to 145,912,852 hospitalisations were included (mean age 41.7 years (standard deviation [SD 26.1]); n = 14,747,198 (44.2%) male). There were 433,361 individuals with MI (mean age 67.4 years [SD 14.4)]; n = 283,742 (65.5%) male). Following MI, all-cause mortality was the most frequent event (adjusted cumulative incidence at 9 years 37.8% (95% confidence interval [CI] [37.6,37.9]), followed by heart failure (29.6%; 95% CI [29.4,29.7]), renal failure (27.2%; 95% CI [27.0,27.4]), atrial fibrillation (22.3%; 95% CI [22.2,22.5]), severe bleeding (19.0%; 95% CI [18.8,19.1]), diabetes (17.0%; 95% CI [16.9,17.1]), cancer (13.5%; 95% CI [13.3,13.6]), cerebrovascular disease (12.5%; 95% CI [12.4,12.7]), depression (8.9%; 95% CI [8.7,9.0]), dementia (7.8%; 95% CI [7.7,7.9]), subsequent MI (7.1%; 95% CI [7.0,7.2]), and peripheral arterial disease (6.5%; 95% CI [6.4,6.6]). Compared with a risk-set matched population of 2,001,310 individuals, first hospitalisation of all non-fatal health outcomes were increased after MI, except for dementia (adjusted hazard ratio [aHR] 1.01; 95% CI [0.99,1.02];p = 0.468) and cancer (aHR 0.56; 95% CI [0.56,0.57];p < 0.001). The study includes data from secondary care only-as such diagnoses made outside of secondary care may have been missed leading to the potential underestimation of the total burden of disease following MI.

conclusionsIn this study, up to a third of patients with MI developed heart failure or renal failure, 7% had another MI, and 38% died within 9 years (compared with 35% deaths among matched individuals). The incidence of all health outcomes, except dementia and cancer, was higher than expected during the normal life course without MI following adjustment for age, sex, year, and socioeconomic deprivation. Efforts targeted to prevent or limit the accrual of chronic, multisystem disease states following MI are needed and should be guided by the demographic-specific risk charts derived in this study.

Indexed as

Atrial FibrillationCerebrovascular DisordersDementiaDiabetes MellitusHeart FailureMyocardial InfarctionNeoplasmsRenal InsufficiencyAdolescentAdultAgedCohort StudiesFemaleHumansMaleOutcome Assessment, Health Care

Identifiers

PMID38358949
PMCPMC10868847
OpenAlexW4391847007

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.