Evidence map›Paper›PMID 39414266›Full record

ArticleBMJ open2024

Impacts of the COVID-19 pandemic on deprivation-level differences in cardiovascular hospitalisations: a comparison of England and Denmark using the OpenSAFELY platform and National Registry Data.

Ruth E Costello, Lars Pedersen, Alasdair D Henderson, John Tazare, Henrik Toft Sorensen, Jan P Vandenbroucke, Kathryn E Mansfield, Viyaasan Mahalingasivam, Bang Zheng, Helena Carreira and 16 more

Abstract readComparative Study
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

26 authors.

Ruth E CostelloLondon School of Hygiene & Tropical Medicine, London, UK ruth.costello@lshtm.ac.uk.ORCID http://orcid.org/0000-0003-2709-6666
Lars PedersenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Alasdair D HendersonSchool of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-8903-4906
John TazareLondon School of Hygiene & Tropical Medicine, London, UK.
Henrik Toft SorensenDepartment of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Jan P VandenbrouckeLeiden University, Leiden, Netherlands.
Kathryn E MansfieldLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-2551-410X
Viyaasan MahalingasivamLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-3157-1127
Bang ZhengLondon School of Hygiene & Tropical Medicine, London, UK.
Helena CarreiraLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0003-1538-2526
Patrick BidulkaLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0001-7644-2030
Dominik Manuel PiehlmaierUniversity of Sussex, Brighton, UK.ORCID http://orcid.org/0000-0003-0229-7007
Angel Yun Sum WongLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-8618-7333
Charlotte Warren-GashLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0003-4524-3180
Joseph F HayesUniversity College London, London, UK.
Jennifer K QuintNHLI, Imperial College London, London, London, UK.ORCID http://orcid.org/0000-0003-0149-4869
Srinivasa Vittal KatikireddiMRC/CSO Social & Public Health Sciences Unit, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0001-6593-9092
Brian MackennaNHS England, Redditch, UK.
Amir MehrkarBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Sebastian BaconBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-6354-3454
Ben GoldacreBennett Institute for Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-5127-4728
Laurie A TomlinsonLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0001-8848-9493
Sinead M LanganLondon School of Hygiene & Tropical Medicine, London, UK.ORCID http://orcid.org/0000-0002-7022-7441
Rohini MathurCentre for Primary Care and Public Health, Queen Mary University of London, London, UK.
The Lh W Ncs Or Convalescence CollaborativeUniversity College London, London, UK.
The OpenSAFELY ConsortiumUniversity of Oxford, Oxford, UK.

Funding

Chief Scientist Office SCAF/15/02Medical Research Council MC_UU_00022/2Medical Research Council MR/W02148X/1
6 · The paper itself

Abstract

objectivesTo examine the impact of the COVID-19 pandemic on deprivation-related inequalities in hospitalisations for cardiovascular disease (CVD) conditions in Denmark and England between March 2018 and December 2021.

designTime-series studies in England and Denmark.

settingWith the approval of National Health Service England, we used English primary care electronic health records, linked to secondary care and death registry data through the OpenSAFELY platform and nationwide Danish health registry data.

participantsWe included adults aged 18 and over without missing age, sex or deprivation information. On 1 March 2020, 16 234 700 people in England and 4 491 336 people in Denmark met the inclusion criteria. PRIMARY OUTCOME MEASURES: Hospital admissions with the primary reason for myocardial infarction (MI), ischaemic or haemorrhagic stroke, heart failure and venous thromboembolism (VTE).

resultsWe saw deprivation gradients in monthly CVD hospitalisations in both countries, with differences more pronounced in Denmark. Based on pre-pandemic trends, in England, there were an estimated 2608 fewer admissions than expected for heart failure in the most deprived quintile during the pandemic compared with an estimated 979 fewer admissions in the least deprived quintile. For all other outcomes, there was little variation by deprivation quintile. In Denmark, there were an estimated 1013 fewer admissions than expected over the pandemic for MI in the most deprived quintile compared with 619 in the least deprived quintile. Similar trends were seen for stroke and VTE, though absolute numbers were smaller. Heart failure admissions were similar to pre-pandemic levels with little variation by deprivation quintile.

conclusionsOverall, we did not find that the pandemic substantially worsened pre-existing deprivation-related differences in CVD hospitalisations, though there were exceptions in both countries.

Indexed as

Cardiovascular DiseasesCOVID-19HospitalizationRegistriesAdolescentAdultAgedAged, 80 and overDenmarkEnglandFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2CardiologyCOVID-19Electronic Health RecordsEPIDEMIOLOGY

Identifiers

PMID39414266
PMCPMC11481132

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.