Evidence map›Paper›PMID 42102153›Full record

ArticlePloS one2026

Life lost due to the COVID-19 pandemic: A model-based cohort analysis of mortality displacement in the registered population of England.

Andrew Hughes, Sharmani Barnard, Clarissa Bauer-Staeb, Richard Holleyman, Samantha Dunn, Paul Fryers, John N Newton, Justine Fitzpatrick, Paul Burton, Peter Goldblatt

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Andrew HughesOffice for Health Improvement and Disparities, London, United Kingdom.ORCID https://orcid.org/0009-0002-4065-2815
Sharmani BarnardSchool of Population Health, Curtin University, Bentley, Western Australia, Australia.
Clarissa Bauer-StaebOffice for Health Improvement and Disparities, London, United Kingdom.
Richard HolleymanUK Health Security Agency, UK, Wellington House, London, United Kingdom.
Samantha DunnOffice for Health Improvement and Disparities, London, United Kingdom.
Paul FryersOffice for Health Improvement and Disparities, London, United Kingdom.
John N NewtonEuropean Centre for Environment and Human Health, University of Exeter Medical school, Penryn, Cornwall, United Kingdom.
Justine FitzpatrickOffice for Health Improvement and Disparities, London, United Kingdom.
Paul BurtonPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.
Peter GoldblattUCL Institute of Health Equity, Department of Epidemiology & Public Health, University College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-0491-2077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUncertainty about the prior health status of those dying during the pandemic has fuelled debate about its impact. To date, attempts to quantify life years lost during the pandemic have relied on using life tables without taking into account varying levels of vulnerability among those that died.

methodsUsing retrospective, linked data from March 2020 to September 2022 for the cohort of all individuals in England alive at outset, we quantified the risk of death, associated with a wide variety of comorbidities, using primary care and hospital data, as well as evidence of vaccination and COVID-19 infection. We then simulated the survival of every individual in the population with a positive COVID-19 test, with and without the assumption that COVID-19 affected their survival, taking account of their personal vulnerability. We used the difference between these simulated survival times to estimate mortality displacement (how long those who died would have lived, had they not tested positive). We used the displacement estimates for those aged 65 and older to revise estimates of excess deaths.

resultsWe estimated median mortality displacement of 4.8 (IQR = 1.5 to 16) years for females and 4.4 (IQR = 1.4 to 12.6) years for males at ages 65 and over. We estimate 28% of those dying with COVID-19 aged 65 and over would have survived five years or more without the infection (66% for females aged 65-74).

conclusionsLife expectancy of those who died with COVID-19 was substantial and, based on our analysis of vulnerability, most of those who died at ages 65 and over are unlikely to have been close to death. In future pandemics, real-time modelling of displacement would be helpful in assessing the mortality impact of the pandemic.

Indexed as

COVID-19Life ExpectancyAdolescentAgedAged, 80 and overEnglandFemaleHumansMaleMiddle AgedPandemicsRetrospective StudiesSARS-CoV-2

Identifiers

PMID42102153
PMCPMC13155604

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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.