Evidence map›Paper›PMID 37066117›Full record

ArticleGeneral psychiatry2023

Causal associations between major depressive disorder and COVID-19.

Ancha Baranova, Yi Zhao, Hongbao Cao, Fuquan Zhang

Abstract read
In one paragraph

Article in General psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Opposite causal effects of type 2 diabetes and metformin on Alzheimer's disease.The journal of prevention of Alzheimer's disease · 2025
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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

4 authors.

Ancha BaranovaSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Yi ZhaoDepartment of Psychiatry, Nanjing Medical University Affiliated Brain Hospital, Nanjing, Jiangsu, China.
Hongbao CaoSchool of Systems Biology, George Mason University, Fairfax, Virginia, USA.
Fuquan ZhangDepartment of Psychiatry, Nanjing Medical University Affiliated Brain Hospital, Nanjing, Jiangsu, China.ORCID 0000-0003-3204-8191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to evaluate whether major depressive disorder (MDD) could aggravate the outcomes of coronavirus disease 2019 (COVID-19) or whether the genetic liability to COVID-19 could trigger MDD. Aims: We aimed to assess bidirectional causal associations between MDD and COVID-19. Methods: We performed genetic correlation and Mendelian randomisation (MR) analyses to assess potential associations between MDD and three COVID-19 outcomes. Literature-based network analysis was conducted to construct molecular pathways connecting MDD and COVID-19. Results: We found that MDD has positive genetic correlations with COVID-19 outcomes (r Conclusions: Our study suggests that MDD may increase the susceptibility to COVID-19. Our findings emphasise the need to increase social support and improve mental health intervention networks for people with mood disorders during the pandemic.

Indexed as

COVID-19depressiondepressive disorder, majorgenetics, behavioralMendelian randomization analysis

Identifiers

PMID37066117
PMCPMC10083530

What OpenQuestion holds

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LicenceCC BY-NC
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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.