Evidence map›Paper›PMID 35487905›Full record

ArticleNature communications2022

Trends and associated factors for Covid-19 hospitalisation and fatality risk in 2.3 million adults in England.

T Beaney, A L Neves, A Alboksmaty, H Ashrafian, K Flott, A Fowler, J R Benger, P Aylin, S Elkin, A Darzi and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Frontiers in immunology · 2026
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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

11 authors at 4 institutions in 1 country.

T BeaneyPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK. thomas.beaney@imperial.ac.uk.ORCID 0000-0001-9709-7264
A L NevesPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.
A AlboksmatyPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.
H AshrafianPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0003-1668-0672
K FlottPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.
A FowlerNHS England and Improvement, London, SE1 6LH, UK.
J R BengerNHS Digital, 7-8 Wellington Place, Leeds, West Yorkshire, LS1 4AP, UK.
P AylinPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.
S ElkinNational Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.
A DarziPatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0001-7815-7989
J ClarkePatient Safety Translational Research Centre, Institute of Global Health Innovation, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0003-1495-7746
NIHR Imperial Biomedical Research Centre · GBImperial College London · GBNHS Digital · GBNHS England

Funding

Department of HealthWellcome Trust 215938/Z/19/Z
6 · The paper itself

Abstract

The Covid-19 mortality rate varies between countries and over time but the extent to which this is explained by the underlying risk in those infected is unclear. Using data on all adults in England with a positive Covid-19 test between 1st October 2020 and 30th April 2021 linked to clinical records, we examined trends and risk factors for hospital admission and mortality. Of 2,311,282 people included in the study, 164,046 (7.1%) were admitted and 53,156 (2.3%) died within 28 days of a positive Covid-19 test. We found significant variation in the case hospitalisation and mortality risk over time, which remained after accounting for the underlying risk of those infected. Older age groups, males, those resident in areas of greater socioeconomic deprivation, and those with obesity had higher odds of admission and death. People with severe mental illness and learning disability had the highest odds of admission and death. Our findings highlight both the role of external factors in Covid-19 admission and mortality risk and the need for more proactive care in the most vulnerable groups.

Indexed as

COVID-19AdultAgedEnglandHospitalizationHumansMaleRisk Factors

Identifiers

PMID35487905
PMCPMC9054846
OpenAlexW4225256923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.