Evidence map›Paper›PMID 36385522›Full record

ArticleEuropean heart journal. Quality of care & clinical outcomes2023

Effects of the COVID-19 pandemic on secondary care for cardiovascular disease in the UK: an electronic health record analysis across three countries.

F Lucy Wright, Kate Cheema, Raph Goldacre, Nick Hall, Naomi Herz, Nazrul Islam, Zainab Karim, David Moreno-Martos, Daniel R Morales, Daniel O'Connell and 15 more

Open access · hybridAbstract read
In one paragraph

Article in European heart journal. Quality of care & clinical outcomes, 2023. 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
1.4field-weighted citation impact, top 17% 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, 13 citations in OpenAlex.

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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

25 authors at 12 institutions in 2 countries.

F Lucy WrightThe Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Kate CheemaBritish Heart Foundation, London NW1 7AW, UK.
Raph GoldacreThe Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Nick HallThe Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Naomi HerzBritish Heart Foundation, London NW1 7AW, UK.
Nazrul IslamThe Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Zainab KarimBritish Heart Foundation, London NW1 7AW, UK.
David Moreno-MartosDivision of Population Health and Genomics, University of Dundee, Dundee DD1 4HN, UK.
Daniel R MoralesDivision of Population Health and Genomics, University of Dundee, Dundee DD1 4HN, UK.
Daniel O'ConnellBritish Heart Foundation, London NW1 7AW, UK.
Enti SpataThe Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Wales, Swansea, SA2 8QA, UK.ORCID 0000-0003-0814-0801
Mark AshworthPrimary Care Research Group, King's College London, London SE1 1UL, UK.
Mark BarberScottish Stroke Care Audit, Public Health Scotland, Glasgow G2 6QE, UK.
Norman BriffaDepartment of Cardiothoracic Surgery, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield S10 2JF, UK.
Dexter CanoyPopulation Health Sciences Institute, University of Newcastle, Newcastle NE2 4AX, UK.
Spiros DenaxasInstitute of Health Informatics, University College London, London NW1 2DA, UK.ORCID 0000-0001-9612-7791
Kamlesh KhuntiLeicester Diabetes Centre, University of Leicester, Leicester LE5 4PW, UK.
Amanj KurdiStrathclyde Institute of Pharmacy and Biomedical Science, University of Strathclyde, Glasgow G4 ORE, UK.ORCID 0000-0001-5036-1988
Mamas MamasKeele Cardiovascular Research Group, Keele University, Stoke on Trent ST5 5BG, UK.ORCID 0000-0001-9241-8890
Rouven PriedonBritish Heart Foundation Data Science Centre, Health Data Research UK, London NW1 2BE, UK.
Cathie SudlowBritish Heart Foundation Data Science Centre, Health Data Research UK, London NW1 2BE, UK.
Eva J A MorrisThe Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Ben LaceyThe Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK.
Amitava BanerjeeInstitute of Health Informatics, University College London, London NW1 2DA, UK.ORCID 0000-0001-8741-3411
British Heart Foundation · GBUniversity of Oxford · GBUniversity of Dundee · GBBarts Health NHS Trust · GBKeele University · GBKing's College London · GBNewcastle University · GBPublic Health Scotland · GBSheffield Teaching Hospitals NHS Foundation Trust · GBSwansea University · GBUniversity of Leicester · GBUniversity of Strathclyde · GB

Funding

British Heart Foundation SP/19/3/34 678Chief Scientist OfficeDepartment of HealthMedical Research Council MC_PC_20030Medical Research Council MC_PC_20051Medical Research Council MC_PC_20059Medical Research Council MR/K006584/1Medical Research Council MR/V028367/1Wellcome Trust
6 · The paper itself

Abstract

backgroundAlthough morbidity and mortality from COVID-19 have been widely reported, the indirect effects of the pandemic beyond 2020 on other major diseases and health service activity have not been well described. METHODS AND

resultsAnalyses used national administrative electronic hospital records in England, Scotland, and Wales for 2016-21. Admissions and procedures during the pandemic (2020-21) related to six major cardiovascular conditions [acute coronary syndrome (ACS), heart failure (HF), stroke/transient ischaemic attack (TIA), peripheral arterial disease (PAD), aortic aneurysm (AA), and venous thromboembolism(VTE)] were compared with the annual average in the pre-pandemic period (2016-19). Differences were assessed by time period and urgency of care.In 2020, there were 31 064 (-6%) fewer hospital admissions [14 506 (-4%) fewer emergencies, 16 560 (-23%) fewer elective admissions] compared with 2016-19 for the six major cardiovascular diseases (CVDs) combined. The proportional reduction in admissions was similar in all three countries. Overall, hospital admissions returned to pre-pandemic levels in 2021. Elective admissions remained substantially below expected levels for almost all conditions in all three countries [-10 996 (-15%) fewer admissions]. However, these reductions were offset by higher than expected total emergency admissions [+25 878 (+6%) higher admissions], notably for HF and stroke in England, and for VTE in all three countries. Analyses for procedures showed similar temporal variations to admissions.

conclusionThe present study highlights increasing emergency cardiovascular admissions during the pandemic, in the context of a substantial and sustained reduction in elective admissions and procedures. This is likely to increase further the demands on cardiovascular services over the coming years.

Indexed as

Cardiovascular DiseasesCOVID-19Heart FailureStrokeVenous ThromboembolismElectronic Health RecordsEnglandHumansPandemicsSecondary Health Care

Identifiers

PMID36385522
PMCPMC10284263
OpenAlexW4309245090

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.