Evidence map›Paper›PMID 32696734›Full record

ArticleBJPsych open2020

Associations between psychiatric disorders, COVID-19 testing probability and COVID-19 testing results: findings from a population-based study.

Dennis van der Meer, Justo Pinzón-Espinosa, Bochao D Lin, Joeri K Tijdink, Christiaan H Vinkers, Sinan Guloksuz, Jurjen J Luykx

Erratum issuedAbstract read
In one paragraph

Article in BJPsych open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Schizophrenia during the COVID-19 pandemic.Current opinion in psychiatry · 2021
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Dennis van der MeerNORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Norway; and School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, the Netherlands.
Justo Pinzón-EspinosaBarcelona Clínic Schizophrenia Unit, Department of Psychiatry and Psychology, Institute of Neuroscience, Hospital Clínic of Barcelona; Department of Medicine, School of Medicine, University of Barcelona; August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Spain; Department of Clinical Psychiatry, School of Medicine, University of Panama, Panama.ORCID https://orcid.org/0000-0002-3084-7793
Bochao D LinDepartment of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University; and Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University, the Netherlands.
Joeri K TijdinkDepartment of Medical Humanities, Amsterdam University Medical Center; and Department of Philosophy, Vrije Universiteit, the Netherlands.
Christiaan H VinkersDepartment of Psychiatry, Amsterdam University Medical Center; and Department of Anatomy and Neurosciences, Amsterdam University Medical Center, the Netherlands.
Sinan GuloksuzDepartment of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University Medical Center, the Netherlands; and Department of Psychiatry, Yale University School of Medicine, USA.
Jurjen J LuykxDepartment of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University; Department of Translational Neuroscience, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht University; and Outpatient Second Opinion Clinic, GGNet Mental Health, the Netherlands.ORCID https://orcid.org/0000-0002-6439-2774

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany psychiatrists are worried their patients, at increased risk for COVID-19 complications, are precluded from receiving appropriate testing. There is a lack of epidemiological data on the associations between psychiatric disorders and COVID-19 testing rates and testing outcomes.

aimsTo compare COVID-19 testing probability and results among individuals with psychiatric disorders with those without such diagnoses, and to examine the associations between testing probability and results and psychiatric diagnoses.

methodThis is a population-based study to perform association analyses of psychiatric disorder diagnoses with COVID-19 testing probability and such test results, by using two-sided Fisher exact tests and logistic regression. The population were UK Biobank participants who had undergone COVID-19 testing. The main outcomes were COVID-19 testing probability and COVID-19 test results.

resultsIndividuals with psychiatric disorders were overrepresented among the 1474 UK Biobank participants with test data: 23% of the COVID-19 test sample had a psychiatric diagnosis compared with 10% in the full cohort (P < 0.0001). This overrepresentation persisted for each of the specific psychiatric disorders tested. Furthermore, individuals with a psychiatric disorder (P = 0.01), particularly substance use disorder (P < 0.005), had negative test results significantly more often than individuals without psychiatric disorders. Sensitivity analyses confirmed our results.

conclusionsIn contrast with our hypotheses, UK Biobank participants with psychiatric disorders have been tested for COVID-19 more frequently than individuals without a psychiatric history. Among those tested, test outcomes were more frequently negative for registry participants with psychiatric disorders than in others, countering arguments that people with psychiatric disorders are particularly prone to contract the virus.

Indexed as

COVID-19Epidemiologyoutcome studiesservice usersstigma and discrimination

Identifiers

PMID32696734
PMCPMC7417998

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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.