Evidence map›Paper›PMID 33548184›Full record

ReviewThe lancet. Psychiatry2021

COVID-19 vaccination for people with severe mental illness: why, what, and how?

Victor Mazereel, Kristof Van Assche, Johan Detraux, Marc De Hert

Open access · bronzeAbstract readReview
In one paragraph

Review in The lancet. Psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 5 pooled it
21.4field-weighted citation impact, top 1% 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

103 citing papers in PubMed, 5 syntheses or guidelines pooled it, 166 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Trial
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Victor MazereelCenter for Clinical Psychiatry, KU Leuven, Leuven, Belgium; Department of Neurosciences, and University Psychiatric Center, KU Leuven, Leuven, Belgium.
Kristof Van AsscheResearch Group Personal Rights and Property Rights, Faculty of Law, University of Antwerp, Antwerp, Belgium.
Johan DetrauxPublic Health Psychiatry, KU Leuven, Leuven, Belgium; Department of Neurosciences, and University Psychiatric Center, KU Leuven, Leuven, Belgium.
Marc De HertCenter for Clinical Psychiatry, KU Leuven, Leuven, Belgium; Department of Neurosciences, and University Psychiatric Center, KU Leuven, Leuven, Belgium; Antwerp Health Law and Ethics Chair, University of Antwerp, Antwerp, Belgium. Electronic address: marc.dehert@upckuleuven.be.
KU Leuven · BEUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric disorders, and especially severe mental illness, are associated with an increased risk of severe acute respiratory syndrome coronavirus 2 infection and COVID-19-related morbidity and mortality. People with severe mental illness should therefore be prioritised in vaccine allocation strategies. Here, we discuss the risk for worse COVID-19 outcomes in this vulnerable group, the effect of severe mental illness and psychotropic medications on vaccination response, the attitudes of people with severe mental illness towards vaccination, and, the potential barriers to, and possible solutions for, an efficient vaccination programme in this population.

Indexed as

COVID-19Immunization ProgramsHumansMental DisordersRisk AssessmentSARS-CoV-2Vaccination CoverageVulnerable Populations

Identifiers

PMID33548184
PMCPMC7906686
OpenAlexW3126893156

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.