Evidence map›Paper›PMID 34990450›Full record

ArticlePLoS medicine2022

Factors associated with excess all-cause mortality in the first wave of the COVID-19 pandemic in the UK: A time series analysis using the Clinical Practice Research Datalink.

Helen Strongman, Helena Carreira, Bianca L De Stavola, Krishnan Bhaskaran, David A Leon

Abstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Uncovering the toll of the first three COVID-19 waves: excess mortality and social patterns in Belgium.Archives of public health = Archives belges de sante publique · 2024
    Article
  7. Article
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  11. Observational
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  15. SARS-CoV-2 and COVID-19: A Narrative Review.British journal of biomedical science · 2022
    Review
  16. The Global Health Security Index: Another Look.Frontiers in epidemiology · 2022
    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

5 authors.

Helen StrongmanLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-8739-4601
Helena CarreiraLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0003-1538-2526
Bianca L De StavolaLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-7853-0528
Krishnan BhaskaranLondon School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0001-5364-8757
David A LeonLondon School of Hygiene & Tropical Medicine, London, United Kingdom.

Funding

Wellcome TrustWellcome Trust 107731/Z/15/ZWellcome Trust 220283/Z/20/Z
6 · The paper itself

Abstract

backgroundExcess mortality captures the total effect of the Coronavirus Disease 2019 (COVID-19) pandemic on mortality and is not affected by misspecification of cause of death. We aimed to describe how health and demographic factors were associated with excess mortality during, compared to before, the pandemic. METHODS AND

findingsWe analysed a time series dataset including 9,635,613 adults (≥40 years old) registered at United Kingdom general practices contributing to the Clinical Practice Research Datalink. We extracted weekly numbers of deaths and numbers at risk between March 2015 and July 2020, stratified by individual-level factors. Excess mortality during Wave 1 of the UK pandemic (5 March to 27 May 2020) compared to the prepandemic period was estimated using seasonally adjusted negative binomial regression models. Relative rates (RRs) of death for a range of factors were estimated before and during Wave 1 by including interaction terms. We found that all-cause mortality increased by 43% (95% CI 40% to 47%) during Wave 1 compared with prepandemic. Changes to the RR of death associated with most sociodemographic and clinical characteristics were small during Wave 1 compared with prepandemic. However, the mortality RR associated with dementia markedly increased (RR for dementia versus no dementia prepandemic: 3.5, 95% CI 3.4 to 3.5; RR during Wave 1: 5.1, 4.9 to 5.3); a similar pattern was seen for learning disabilities (RR prepandemic: 3.6, 3.4 to 3.5; during Wave 1: 4.8, 4.4 to 5.3), for black or South Asian ethnicity compared to white, and for London compared to other regions. Relative risks for morbidities were stable in multiple sensitivity analyses. However, a limitation of the study is that we cannot assume that the risks observed during Wave 1 would apply to other waves due to changes in population behaviour, virus transmission, and risk perception.

conclusionsThe first wave of the UK COVID-19 pandemic appeared to amplify baseline mortality risk to approximately the same relative degree for most population subgroups. However, disproportionate increases in mortality were seen for those with dementia, learning disabilities, non-white ethnicity, or living in London.

Indexed as

AdultAgedCOVID-19FemaleHumansMaleMiddle AgedModels, StatisticalMortalityPandemicsRisk FactorsSARS-CoV-2Time FactorsUnited Kingdom

Identifiers

PMID34990450
PMCPMC8735664

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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 OpenQuestion graph.