Evidence map›Paper›PMID 32687551›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2020

Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort.

Janice L Atkins, Jane A H Masoli, Joao Delgado, Luke C Pilling, Chia-Ling Kuo, George A Kuchel, David Melzer

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 289 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
289citing papers in PubMed, 15 pooled it
11.3field-weighted citation impact, top 1% 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

289 citing papers in PubMed, 15 syntheses or guidelines pooled it, 500 citations in OpenAlex.

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  4. The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
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  7. Dementia is an age-independent risk factor for severity and death in COVID-19 inpatients.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2021
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  15. Meta-Analysis of Atrial Fibrillation in Patients With COVID-19.The American journal of cardiology · 2021
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229 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 2 countries.

Janice L AtkinsEpidemiology and Public Health Group, University of Exeter Medical School, UK.
Jane A H MasoliEpidemiology and Public Health Group, University of Exeter Medical School, UK.
Joao DelgadoEpidemiology and Public Health Group, University of Exeter Medical School, UK.
Luke C PillingEpidemiology and Public Health Group, University of Exeter Medical School, UK.
Chia-Ling KuoCenter on Aging, University of Connecticut Health Center, Farmington.
George A KuchelCenter on Aging, University of Connecticut Health Center, Farmington.
David MelzerEpidemiology and Public Health Group, University of Exeter Medical School, UK.
University of Exeter · GBUConn Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitalized COVID-19 patients tend to be older and frequently have hypertension, diabetes, or coronary heart disease, but whether these comorbidities are true risk factors (ie, more common than in the general older population) is unclear. We estimated associations between preexisting diagnoses and hospitalized COVID-19 alone or with mortality, in a large community cohort.

methodsUK Biobank (England) participants with baseline assessment 2006-2010, followed in hospital discharge records to 2017 and death records to 2020. Demographic and preexisting common diagnoses association tested with hospitalized laboratory-confirmed COVID-19 (March 16 to April 26, 2020), alone or with mortality, in logistic models.

resultsOf 269 070 participants aged older than 65, 507 (0.2%) became COVID-19 hospital inpatients, of which 141 (27.8%) died. Common comorbidities in hospitalized inpatients were hypertension (59.6%), history of fall or fragility fractures (29.4%), coronary heart disease (21.5%), type 2 diabetes (type 2, 19. 9%), and asthma (17.6%). However, in models adjusted for comorbidities, age group, sex, ethnicity, and education, preexisting diagnoses of dementia, type 2 diabetes, chronic obstructive pulmonary disease, pneumonia, depression, atrial fibrillation, and hypertension emerged as independent risk factors for COVID-19 hospitalization, the first 5 remaining statistically significant for related mortality. Chronic kidney disease and asthma were risk factors for COVID-19 hospitalization in women but not men.

conclusionsThere are specific high-risk preexisting comorbidities for COVID-19 hospitalization and related deaths in community-based older men and women. These results do not support simple age-based targeting of the older population to prevent severe COVID-19 infections.

Indexed as

Coronavirus InfectionsMortalityPandemicsPneumonia, ViralAgedAge FactorsBetacoronavirusChronic DiseaseClinical Laboratory TechniquesCohort StudiesComorbidityCOVID-19COVID-19 TestingFemaleHospitalizationHumansCOVID-19EpidemiologyMorbidityMortality

Identifiers

PMID32687551
PMCPMC7454409
OpenAlexW3042206791

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.