Evidence map›Paper›PMID 30948515›Full record

ArticleHeart (British Cardiac Society)2019

Comparative trends in coronary heart disease subgroup hospitalisation rates in England and Australia.

Lee Nedkoff, Raphael Goldacre, Melanie Greenland, Michael J Goldacre, Derrick Lopez, Nick Hall, Matthew Knuiman, Michael Hobbs, Frank M Sanfilippo, F Lucy Wright

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Heart (British Cardiac Society), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

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  9. Invasive Coronary Angiography after Chest Pain Presentations to Emergency Departments.International journal of environmental research and public health · 2020
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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

10 authors at 2 institutions in 2 countries.

Lee NedkoffSchool of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0002-3970-625X
Raphael GoldacreUnit of Health-Care Epidemiology, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, England.
Melanie GreenlandSchool of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.
Michael J GoldacreUnit of Health-Care Epidemiology, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, England.
Derrick LopezSchool of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.
Nick HallUnit of Health-Care Epidemiology, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, England.
Matthew KnuimanSchool of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.
Michael HobbsSchool of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.
Frank M SanfilippoSchool of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia.
F Lucy WrightNuffield Department of Population Health, University of Oxford, Oxford, UK.
The University of Western Australia · AUUniversity of Oxford · GB

Funding

British Heart FoundationMedical Research Council
6 · The paper itself

Abstract

backgroundPopulation-based coronary heart disease (CHD) studies have focused on myocardial infarction (MI) with limited data on trends across the spectrum of CHD. We investigated trends in hospitalisation rates for acute and chronic CHD subgroups in England and Australia from 1996 to 2013.

methodsCHD hospitalisations for individuals aged 35-84 years were identified from electronic hospital data from 1996 to 2013 for England and Australia and from the Oxford Region and Western Australia. CHD subgroups identified were acute coronary syndromes (ACS) (MI and unstable angina) and chronic CHD (stable angina and 'other CHD'). We calculated age-standardised and age-specific rates and estimated annual changes (95% CI) from age-adjusted Poisson regression.

resultsFrom 1996 to 2013, there were 4.9 million CHD hospitalisations in England and 2.6 million in Australia (67% men). From 1996 to 2003, there was between-country variation in the direction of trends in ACS and chronic CHD hospitalisation rates (p<0.001). During 2004-2013, reductions in ACS hospitalisation rates were greater than for chronic CHD hospitalisation rates in both countries, with the largest subgroup declines in unstable angina (England: men: -7.1 %/year, 95% CI -7.2 to -7.0; women: -7.5 %/year, 95% CI -7.7 to -7.3; Australia: men: -8.5 %/year, 95% CI -8.6 to -8.4; women: -8.6 %/year, 95% CI -8.8 to -8.4). Other CHD rates increased in individuals aged 75-84 years in both countries. Chronic CHD comprised half of all CHD admissions, with the majority involving angiography or percutaneous coronary intervention.

conclusionsSince 2004, rates of all CHD subgroups have fallen, with greater declines in acute than chronic presentations. The slower declines and high proportion of chronic CHD admissions undergoing coronary procedures requires greater focus.

Indexed as

Acute Coronary SyndromeAdultAgedAged, 80 and overAge DistributionAngina, StableAngina, UnstableCoronary DiseaseDatabases, FactualEnglandFemaleHealthcare DisparitiesHumansMaleMiddle AgedMyocardial Infarctionacute coronary syndromesacute myocardial infarctionchronic coronary diseaseepidemiology

Identifiers

PMID30948515
PMCPMC6711344
OpenAlexW2934576130

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.