Evidence map›Paper›PMID 35971656›Full record

SynthesisEuropean psychiatry : the journal of the Association of European Psychiatrists2022

Joint European policy on the COVID-19 risks for people with mental disorders: An umbrella review and evidence- and consensus-based recommendations for mental and public health.

Benedetta Vai, Mario Gennaro Mazza, Casanova Dias Marisa, Julian Beezhold, Hilkka Kärkkäinen, John Saunders, Jerzy Samochowiec, Francesco Benedetti, Marion Leboyer, Paolo Fusar-Poli and 1 more

Registry-linked trialAbstract readSystematic ReviewConsensus Statement
In one paragraph

Synthesis in European psychiatry : the journal of the Association of European Psychiatrists, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06945627 (Profiling Vulnerability and Resilience for Mental Illness Following Viral Infections), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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.

NCT06945627 active not recruitingnot on this mapstarted 2024, after this paper: background citation

Profiling Vulnerability and Resilience for Mental Illness Following Viral Infections: Translating Epidemiology to Deep-phenotyping

TypeobservationalSponsorSara PolettiRan2024 to 2027Enrolled408,551ConditionsSevere Mental Illness, Inflammation, Viral Infections, Mood DisordersArmsThis research doesn't involve any kind of intervention on the study participants
3 · Its place in the literature

Who cites it

7 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

11 authors.

Benedetta VaiPsychiatry & Clinical Psychology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-0748-4656
Mario Gennaro MazzaPsychiatry & Clinical Psychology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0001-6613-2477
Casanova Dias MarisaSection of Women's Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.ORCID 0000-0002-2606-7372
Julian BeezholdNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0001-9857-1669
Hilkka KärkkäinenPresident of GAMIAN-Europe, Ixelles, Belgium.
John SaundersExecutive Director EUFAMI, Leuven, Belgium.
Jerzy SamochowiecDepartment of Psychiatry, Pomeranian Medical University, Szczecin, Poland.ORCID 0000-0003-1438-583X
Francesco BenedettiPsychiatry & Clinical Psychology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Marion LeboyerUniversité Paris Est Créteil, INSERM U955, Laboratoire Neuro-Psychiatrie Translationnelle, Fondation FondaMental, Creteil, France.
Paolo Fusar-PoliDepartment of Psychosis Studies, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom.
Livia De PickerUniversity Psychiatric Hospital Campus Duffel, Duffel, Belgium.ORCID 0000-0002-6883-0559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As COVID-19 becomes endemic, identifying vulnerable population groups for severe infection outcomes and defining rapid and effective preventive and therapeutic strategies remains a public health priority. We performed an umbrella review, including comprehensive studies (meta-analyses and systematic reviews) investigating COVID-19 risk for infection, hospitalization, intensive care unit (ICU) admission, and mortality in people with psychiatric disorders, and outlined evidence- and consensus-based recommendations for overcoming potential barriers that psychiatric patients may experience in preventing and managing COVID-19, and defining optimal therapeutic options and current research priorities in psychiatry. We searched Web of Science, PubMed, and Ovid/PsycINFO databases up to 17 January 2022 for the umbrella review. We synthesized evidence, extracting when available pooled odd ratio estimates for the categories "any mental disorder" and "severe mental disorders." The quality of each study was assessed using the AMSTAR-2 approach and ranking evidence quality. We identified four systematic review/meta-analysis combinations, one meta-analysis, and three systematic reviews, each including up to 28 original studies. Although we rated the quality of studies from moderate to low and the evidence ranged from highly suggestive to non-significant, we found consistent evidence that people with mental illness are at increased risk of COVID-19 infection, hospitalization, and most importantly mortality, but not of ICU admission. The risk and the burden of COVID-19 in people with mental disorders, in particular those with severe mental illness, can no longer be ignored but demands urgent targeted and persistent action. Twenty-two recommendations are proposed to facilitate this process.

Indexed as

COVID-19Mental DisordersHumansPolicyPublic HealthCOVID-19mental healthpsychiatryrecommendationsumbrella review

Identifiers

PMID35971656
PMCPMC9486830

What OpenQuestion holds

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Registered trials

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.