Evidence map›Paper›PMID 35322285›Full record

ArticleSocial psychiatry and psychiatric epidemiology2022

Role of medical comorbidity in the association between psychiatric disorders and mortality among patients with COVID-19.

Gonzalo Martínez-Alés, Eduardo Fernández-Jiménez, Roberto Mediavilla, Manuel Quintana-Díaz, Iker Louzao, Susana Cebolla, Ainoa Muñoz-Sanjosé, Carmen Bayón, Ezra S Susser, María Fe Bravo-Ortiz and 1 more

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. Article
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.

Gonzalo Martínez-AlésHarvard University T.H. Chan School of Public Health, Boston, MA, USA. gmartinezales@hsph.harvard.edu.ORCID http://orcid.org/0000-0002-1902-4067
Eduardo Fernández-JiménezHospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Roberto MediavillaMental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain.
Manuel Quintana-DíazLa Paz University Hospital, Madrid, Spain.
Iker LouzaoLa Paz University Hospital, Madrid, Spain.
Susana CebollaLa Paz University Hospital, Madrid, Spain.
Ainoa Muñoz-SanjoséHospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Carmen BayónHospital La Paz Institute for Health Research (IdiPAZ), Madrid, Spain.
Ezra S SusserColumbia University Mailman School of Public Health, New York, NY, USA.
María Fe Bravo-OrtizMental Health Network Biomedical Research Center (CIBERSAM), Madrid, Spain.
COVID@HULP group of investigators

Funding

h2020 european research council 101016127instituto de salud carlos iii COV20/00988
6 · The paper itself

Abstract

We examined whether excess chronic medical comorbidity mediated excess COVID-19 inpatient mortality among people with mental disorders in the early phase of the pandemic, a question with important implications for public health and clinical decision-making. Using records of 2599 COVID-19 hospitalized patients, we conducted a formal causal mediation analysis to estimate the extent to which chronic comorbidity mediates the association between mental disorders and COVID-19 mortality. The Odds Ratio (95% CI) for Natural Indirect Effect and Controlled Direct Effect were 1.07(1.02, 1.14) and 1.40 (1.00, 1.95), respectively, suggesting that a large proportion of excess COVID-19 mortality among people with mental disorders may be explained by factors other than comorbidity.

Indexed as

COVID-19Mental DisordersComorbidityHumansPandemicsSARS-CoV-2Causal inferenceCausal mediation analysisCOVID-19Mental disorders

Identifiers

PMID35322285
PMCPMC8942759

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.