Evidence map›Paper›PMID 33521769›Full record

ArticleThe lancet. Healthy longevity2020

Pre-pandemic psychiatric disorders and risk of COVID-19: a UK Biobank cohort analysis.

Huazhen Yang, Wenwen Chen, Yao Hu, Yilong Chen, Yu Zeng, Yajing Sun, Zhiye Ying, Junhui He, Yuanyuan Qu, Donghao Lu and 3 more

Abstract read
In one paragraph

Article in The lancet. Healthy longevity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 5 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

74 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  20. Antipsychotics, COVID-19, and Secondary Healthcare Databases: Revisiting the Pandemic.The international journal of neuropsychopharmacology · 2024
    Article

14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Huazhen YangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Wenwen ChenDivision of Nephrology, Kidney Research Institute, State Key Laboratory of Biotherapy and Cancer Centre, West China Hospital, Sichuan University, Chengdu, China.
Yao HuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Yilong ChenWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Yu ZengWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Yajing SunWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Zhiye YingWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Junhui HeDepartment of Anaesthesiology, West China Hospital, Sichuan University and the Research Units of West China, Chinese Academy of Medical Sciences, Chengdu, China.
Yuanyuan QuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Donghao LuClinical Research Centre for Breast Diseases, West China Hospital, Sichuan University, Chengdu, China.
Fang FangInstitute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.
Unnur A ValdimarsdóttirDepartment of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden.
Huan SongWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsychiatric morbidities have been associated with a risk of severe infections through compromised immunity, health behaviours, or both. However, data are scarce on the association between multiple types of pre-pandemic psychiatric disorders and COVID-19. We aimed to assess the association between pre-pandemic psychiatric disorders and the subsequent risk of COVID-19 using UK Biobank.

methodsFor this cohort analysis, we included participants from UK Biobank who were registered in England and excluded individuals who died before Jan 31, 2020, (the start of the COVID-19 outbreak in the UK) or had withdrawn from UK Biobank. Participants diagnosed with a psychiatric disorder before Jan 31 were included in the group of individuals with pre-pandemic psychiatric disorders, whereas participants without a diagnosis before the outbreak were included in the group of individuals without pre-pandemic psychiatric disorders. We used the Public Health England dataset, UK Biobank hospital data, and death registers to collect data on COVID-19 cases. To examine the relationship between pre-pandemic psychiatric disorders and susceptibility to COVID-19, we used logistic regression models to estimate odds ratios (ORs), controlling for multiple confounders and somatic comorbidities. Key outcomes were all COVID-19, COVID-19 specifically diagnosed in inpatient care, and COVID-19-related deaths. ORs were also estimated separately for each psychiatric disorder and on the basis of the number of pre-pandemic psychiatric disorders. As a positive disease control, we repeated analyses for hospitalisation for other infections.

findingsWe included 421 014 UK Biobank participants in our study and assessed their COVID-19 status between Jan 31 and July 26, 2020. 50 809 participants were diagnosed with psychiatric disorders before the outbreak, while 370 205 participants had no psychiatric disorders. The mean age at outbreak was 67·80 years (SD 8·12). We observed an elevated risk of COVID-19 among individuals with pre-pandemic psychiatric disorders compared with that of individuals without such conditions. The fully adjusted ORs were 1·44 (95% CI 1·28-1·62) for All COVID-19 cases, 1·55 (1·34-1·78) for Inpatient COVID-19 cases, and 2·03 (1·59-2·59) for COVID-19-related deaths. We observed excess risk, defined as risk that increased with the number of pre-pandemic psychiatric disorders, across all diagnostic categories of pre-pandemic psychiatric disorders. We also observed an association between psychiatric disorders and elevated risk of hospitalisation due to other infections (OR 1·74, 95% CI 1·58-1·93).

interpretationOur findings suggest that pre-existing psychiatric disorders are associated with an increased risk of COVID-19. These findings underscore the need for surveillance of and care for populations with pre-existing psychiatric disorders during the COVID-19 pandemic.

fundingNational Natural Science Foundation of China.

Indexed as

COVID-19PandemicsBiological Specimen BanksCohort StudiesEnglandHumans

Identifiers

PMID33521769
PMCPMC7832159

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.