Evidence map›Paper›PMID 35167587›Full record

ArticlePLoS medicine2022

Excess years of life lost to COVID-19 and other causes of death by sex, neighbourhood deprivation, and region in England and Wales during 2020: A registry-based study.

Evangelos Kontopantelis, Mamas A Mamas, Roger T Webb, Ana Castro, Martin K Rutter, Chris P Gale, Darren M Ashcroft, Matthias Pierce, Kathryn M Abel, Gareth Price and 7 more

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 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  16. Has COVID-19 increased inequality in mortality by income in the Netherlands?Journal of epidemiology and community health · 2023
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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

17 authors.

Evangelos KontopantelisDivision of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, England.ORCID 0000-0001-6450-5815
Mamas A MamasDivision of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, England.ORCID 0000-0001-9241-8890
Roger T WebbCentre for Mental Health & Safety, Division of Psychology & Mental Health, University of Manchester and Manchester Academic Health Sciences Centre (MAHSC), England.
Ana CastroDepartment of Health Sciences, University of York, England.ORCID 0000-0003-4475-4325
Martin K RutterDivision of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, England.ORCID 0000-0001-6380-539X
Chris P GaleLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, England.
Darren M AshcroftNIHR School for Primary Care Research, University of Oxford, Oxford, England.ORCID 0000-0002-2958-915X
Matthias PierceCentre for Women's Mental Health, Division of Psychology and Mental Health, University of Manchester, Manchester, England.ORCID 0000-0003-2182-0369
Kathryn M AbelCentre for Women's Mental Health, Division of Psychology and Mental Health, University of Manchester, Manchester, England.
Gareth PriceManchester Cancer Research Centre, The Christie NHS Foundation Trust, University of Manchester, Manchester, England.
Corinne Faivre-FinnManchester Cancer Research Centre, The Christie NHS Foundation Trust, University of Manchester, Manchester, England.ORCID 0000-0001-5617-9781
Harriette G C Van SpallDepartment of Medicine and Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.
Michelle M GrahamDivision of Cardiology, University of Alberta and Mazankowski Alberta Heart Institute, Edmonton, Alberta, Canada.ORCID 0000-0003-0708-7957
Marcello MorcianoNIHR School for Primary Care Research, University of Oxford, Oxford, England.ORCID 0000-0002-0009-5201
Glen P MartinDivision of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, England.
Matt SuttonNIHR School for Primary Care Research, University of Oxford, Oxford, England.ORCID 0000-0002-6635-2127
Tim DoranDepartment of Health Sciences, University of York, England.ORCID 0000-0001-7857-3704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeaths in the first year of the Coronavirus Disease 2019 (COVID-19) pandemic in England and Wales were unevenly distributed socioeconomically and geographically. However, the full scale of inequalities may have been underestimated to date, as most measures of excess mortality do not adequately account for varying age profiles of deaths between social groups. We measured years of life lost (YLL) attributable to the pandemic, directly or indirectly, comparing mortality across geographic and socioeconomic groups. METHODS AND

findingsWe used national mortality registers in England and Wales, from 27 December 2014 until 25 December 2020, covering 3,265,937 deaths. YLLs (main outcome) were calculated using 2019 single year sex-specific life tables for England and Wales. Interrupted time-series analyses, with panel time-series models, were used to estimate expected YLL by sex, geographical region, and deprivation quintile between 7 March 2020 and 25 December 2020 by cause: direct deaths (COVID-19 and other respiratory diseases), cardiovascular disease and diabetes, cancer, and other indirect deaths (all other causes). Excess YLL during the pandemic period were calculated by subtracting observed from expected values. Additional analyses focused on excess deaths for region and deprivation strata, by age-group. Between 7 March 2020 and 25 December 2020, there were an estimated 763,550 (95% CI: 696,826 to 830,273) excess YLL in England and Wales, equivalent to a 15% (95% CI: 14 to 16) increase in YLL compared to the equivalent time period in 2019. There was a strong deprivation gradient in all-cause excess YLL, with rates per 100,000 population ranging from 916 (95% CI: 820 to 1,012) for the least deprived quintile to 1,645 (95% CI: 1,472 to 1,819) for the most deprived. The differences in excess YLL between deprivation quintiles were greatest in younger age groups; for all-cause deaths, a mean of 9.1 years per death (95% CI: 8.2 to 10.0) were lost in the least deprived quintile, compared to 10.8 (95% CI: 10.0 to 11.6) in the most deprived; for COVID-19 and other respiratory deaths, a mean of 8.9 years per death (95% CI: 8.7 to 9.1) were lost in the least deprived quintile, compared to 11.2 (95% CI: 11.0 to 11.5) in the most deprived. For all-cause mortality, estimated deaths in the most deprived compared to the most affluent areas were much higher in younger age groups, but similar for those aged 85 or over. There was marked variability in both all-cause and direct excess YLL by region, with the highest rates in the North West. Limitations include the quasi-experimental nature of the research design and the requirement for accurate and timely recording.

conclusionsIn this study, we observed strong socioeconomic and geographical health inequalities in YLL, during the first calendar year of the COVID-19 pandemic. These were in line with long-standing existing inequalities in England and Wales, with the most deprived areas reporting the largest numbers in potential YLL.

Indexed as

AdultAgedCardiovascular DiseasesCause of DeathCOVID-19Diabetes MellitusEnglandFemaleHealth Status DisparitiesHumansInterrupted Time Series AnalysisLife ExpectancyMaleMiddle AgedNeoplasmsResidence Characteristics

Identifiers

PMID35167587
PMCPMC8846534

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.