Evidence map›Paper›PMID 35969276›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2023

One-year results from the vaccination campaign against COVID-19 infection in 47 million individuals with severe mental disorders and other chronic diseases.

Guillaume Fond, Dong Keon Yon, Laurent Boyer

Abstract read
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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

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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

5 citing papers in PubMed.

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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

3 authors.

Guillaume FondAP-HM, Aix-Marseille University, CEReSS-Health Service Research and Quality of Life Center, 27 Boulevard Jean Moulin, 13005, Marseille, France. guillaume.fond@ap-hm.fr.ORCID http://orcid.org/0000-0003-3249-2030
Dong Keon YonMedical Science Research Institute, Kyung Hee University College of Medicine, Seoul, South Korea.
Laurent BoyerAP-HM, Aix-Marseille University, CEReSS-Health Service Research and Quality of Life Center, 27 Boulevard Jean Moulin, 13005, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe mental disorders have been associated with increased COVID-19 mortality. The aim of this study was to evaluate the results of the vaccination campaign against COVID-19 after 1 year using exhaustive population-based data. In this nationwide population-based study, we used data from the French national medico-administrative database (SNDS) and the COVID Vaccine teleservice from January 4, 2021 (date of activation of the teleservice) to January 30th, 2022. As of January 30th, 2022, the rate of first injection in France was 80.2% (54 million people) and the rate of booster vaccination was 78.3% (52.7 million people). Except for opioid use disorder, all individuals with chronic illnesses or risk factors for poor COVID-19 outcome (e.g., smoking and obesity) had higher rates of vaccination than the general population (from 83.4 to 94.5% vs. 78.3%). However, the four diseases ranking last for both initial and booster vaccinations were mental disorders: alcohol use disorders (86 and 84.3%), neurodevelopmental psychiatric disorders (85.3 and 83.7%), schizophrenia-spectrum disorder (85 and 83.4%) and opioid use disorders (72.9 and 69.4%). Except for opioid disorders, all patients with mental disorders had higher rates of vaccination compared to the general population. However, these rates were lower than other chronic diseases at risk of severe COVID-19 outcomes. Vaccination campaigns must redouble their efforts to improve vaccination penetration in patients with mental disorders.

Indexed as

AlcoholismCOVID-19Opioid-Related DisordersChronic DiseaseCOVID-19 VaccinesHumansImmunization ProgramsCOVID-19 VaccinesCOVID-19Depressive disordersMental healthMood disordersPsychiatrySchizophrenia

Identifiers

PMID35969276
PMCPMC9377302

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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.