Evidence map›Paper›PMID 34996388›Full record

ArticleBMC neurology2022

COVID-19 related outcomes among individuals with neurodegenerative diseases: a cohort analysis in the UK biobank.

Yihan Hu, Huazhen Yang, Can Hou, Wenwen Chen, Hanyue Zhang, Zhiye Ying, Yao Hu, Yajing Sun, Yuanyuan Qu, Maria Feychting and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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  12. SARS-CoV-2 and neurodegenerative diseases: what we know and what we don't.Journal of neural transmission (Vienna, Austria : 1996) · 2022
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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

13 authors at 3 institutions in 3 countries.

Yihan HuWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China.
Huazhen YangWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China.
Can HouWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China.
Wenwen ChenDivision of Nephrology, Kidney Research Institute, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
Hanyue ZhangWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China.
Zhiye YingWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China.
Yao HuWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China.
Yajing SunWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China.
Yuanyuan QuWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China.
Maria FeychtingInstitute of Environmental Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
Unnur ValdimarsdottirCenter of Public Health Sciences, Faculty of Medicine, University of Iceland, 101, Reykjavík, Iceland.
Huan SongWest China Biomedical Big Data Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, 610041, China. songhuan@wchscu.cn.ORCID http://orcid.org/0000-0003-3845-8079
Fang FangInstitute of Environmental Medicine, Karolinska Institutet, 171 77, Stockholm, Sweden.
Sichuan University · CNKarolinska Institutet · SEUniversity of Iceland · IS

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University No. Z20201013National Natural Science Foundation of China No. 81971262NordForsk grant 105668Sichuan University Emergency Grant No. 2020scunCoVyingji10002West China Hospital COVID-19 Epidemic Science and Technology Project No. HX-2019-nCoV-014
6 · The paper itself

Abstract

backgroundAn increased susceptibility to COVID-19 has been suggested for individuals with neurodegenerative diseases, but data are scarce from longitudinal studies.

methodsIn this community-based cohort study, we included 96,275 participants of the UK Biobank who had available SARS-CoV-2 test results in Public Health England. Of these, 2617 had a clinical diagnosis of neurodegenerative diseases in the UK Biobank inpatient hospital data before the outbreak of COVID-19 (defined as January 31st, 2020), while the remaining participants constituted the reference group. We then followed both groups from January 31st, 2020 to June 14th, 2021 for ascertainment of COVID-19 outcomes, including any COVID-19, inpatient care for COVID-19, and COVID-19 related death. Logistic regression was applied to estimate the association between neurogenerative disease and risks of COVID-19 outcomes, adjusted for multiple confounders and somatic comorbidities.

resultsWe observed an elevated risk of COVID-19 outcomes among individuals with a neurodegenerative disease compared with the reference group, corresponding to a fully adjusted odds ratio of 2.47 (95%CI 2.25-2.71) for any COVID-19, 2.18 (95%CI 1.94-2.45) for inpatient COVID-19, and 3.67 (95%CI 3.11-4.34) for COVID-19 related death. Among individuals with a positive test result for SARS-CoV-2, individuals with neurodegenerative diseases had also a higher risk of COVID-19 related death than others (fully adjusted odds ratio 2.08; 95%CI 1.71-2.53).

conclusionAmong UK Biobank participants who received at least one test for SARS-CoV-2, a pre-existing diagnosis of neurodegenerative disease was associated with a subsequently increased risk of COVID-19, especially COVID-19 related death.

Indexed as

COVID-19Neurodegenerative DiseasesBiological Specimen BanksCohort StudiesEnglandHumansRisk FactorsSARS-CoV-2Cohort studyCOVID-19Neurodegenerative diseasesUK biobank

Identifiers

PMID34996388
PMCPMC8739517
OpenAlexW4205092009

What OpenQuestion holds

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LicenceCC BY
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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.