Evidence map›Paper›PMID 36044988›Full record

SynthesisEuropean heart journal2022

The collateral damage of COVID-19 to cardiovascular services: a meta-analysis.

Ramesh Nadarajah, Jianhua Wu, Ben Hurdus, Samira Asma, Deepak L Bhatt, Giuseppe Biondi-Zoccai, Laxmi S Mehta, C Venkata S Ram, Antonio Luiz P Ribeiro, Harriette G C Van Spall and 4 more

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in European heart journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 2% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Article
  5. Observational
  6. Article
  7. Postpandemic Cardiac Mortality Rates.JAMA network open · 2025
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  19. Cardiovascular Statistics - Brazil 2023.Arquivos brasileiros de cardiologia · 2024
    Article
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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

14 authors at 12 institutions in 8 countries.

Ramesh NadarajahLeeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, 6 Clarendon Way, Leeds LS2 9DA, UK.ORCID 0000-0001-9895-9356
Jianhua WuLeeds Institute of Data Analytics, University of Leeds, Leeds, UK.ORCID 0000-0001-6093-599X
Ben HurdusDepartment of Cardiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.ORCID 0000-0001-8149-3449
Samira AsmaDivision of Data, Analytics and Delivery for Impact, World Health Organization, Geneva, Switzerland.
Deepak L BhattBrigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-1278-6245
Giuseppe Biondi-ZoccaiDepartment of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy.ORCID 0000-0001-6103-8510
Laxmi S MehtaDivision of Cardiology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.ORCID 0000-0003-3493-1930
C Venkata S RamApollo Hospitals and Medical College, Hyderabad, Telangana, India.
Antonio Luiz P RibeiroCardiology Service and Telehealth Center, Hospital das Clínicas, and Department of Internal Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.ORCID 0000-0002-2740-0042
Harriette G C Van SpallDepartment of Medicine and Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.ORCID 0000-0002-8370-4569
John E DeanfieldNational Institute for Cardiovascular Outcomes Research, Barts Health NHS Trust, London, UK.ORCID 0000-0001-8806-6052
Thomas F LüscherImperial College, National Heart and Lung Institute, London, UK.ORCID 0000-0002-5259-538X
Mamas MamasKeele Cardiovascular Research Group, Institute for Prognosis Research, University of Keele, Keele, UK.ORCID 0000-0001-9241-8890
Chris P GaleLeeds Institute for Cardiovascular and Metabolic Medicine, University of Leeds, 6 Clarendon Way, Leeds LS2 9DA, UK.ORCID 0000-0003-4732-382X
University of Leeds · GBApollo Hospitals · INBarts Health NHS Trust · GBBrigham and Women's Hospital · USClinica Mediterranea · ITHarefield Hospital · GBHospital das Clínicas da Universidade Federal de Minas Gerais · BRKeele University · GBLeeds Teaching Hospitals NHS Trust · GBPopulation Health Research Institute · CAThe Ohio State University Wexner Medical Center · USWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

aimsThe effect of the COVID-19 pandemic on care and outcomes across non-COVID-19 cardiovascular (CV) diseases is unknown. A systematic review and meta-analysis was performed to quantify the effect and investigate for variation by CV disease, geographic region, country income classification and the time course of the pandemic. METHODS AND

resultsFrom January 2019 to December 2021, Medline and Embase databases were searched for observational studies comparing a pandemic and pre-pandemic period with relation to CV disease hospitalisations, diagnostic and interventional procedures, outpatient consultations, and mortality. Observational data were synthesised by incidence rate ratios (IRR) and risk ratios (RR) for binary outcomes and weighted mean differences for continuous outcomes with 95% confidence intervals. The study was registered with PROSPERO (CRD42021265930). A total of 158 studies, covering 49 countries and 6 continents, were used for quantitative synthesis. Most studies (80%) reported information for high-income countries (HICs). Across all CV disease and geographies there were fewer hospitalisations, diagnostic and interventional procedures, and outpatient consultations during the pandemic. By meta-regression, in low-middle income countries (LMICs) compared to HICs the decline in ST-segment elevation myocardial infarction (STEMI) hospitalisations (RR 0.79, 95% confidence interval [CI] 0.66-0.94) and revascularisation (RR 0.73, 95% CI 0.62-0.87) was more severe. In LMICs, but not HICs, in-hospital mortality increased for STEMI (RR 1.22, 95% CI 1.10-1.37) and heart failure (RR 1.08, 95% CI 1.04-1.12). The magnitude of decline in hospitalisations for CV diseases did not differ between the first and second wave.

conclusionsThere was substantial global collateral CV damage during the COVID-19 pandemic with disparity in severity by country income classification.

Indexed as

Cardiovascular DiseasesCOVID-19ST Elevation Myocardial InfarctionHospitalizationHospital MortalityHumansPandemicsCardiovascularCOVID-19HospitalizationMortalityTreatment

Identifiers

PMID36044988
PMCPMC9724453
OpenAlexW4226283930

What Socratic holds

Textmetadata
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 Socratic graph.