SynthesisJAMA psychiatry2021
Association Between Mood Disorders and Risk of COVID-19 Infection, Hospitalization, and Death: A Systematic Review and Meta-analysis.
Synthesis in JAMA psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 9 of them syntheses that pooled 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.
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.
Who cites it
115 citing papers in PubMed, 9 syntheses or guidelines pooled it, 206 citations in OpenAlex.
- Prevalence of systemic complications of COVID-19 in critically ill patients: systematic review with meta-analysis.Revista latino-americana de enfermagem · 2025Pooled it
- Association between the COVID-19 pandemic and psychiatric symptoms in people with preexisting obsessive-compulsive, eating, anxiety, and mood disorders: a systematic review and meta-analysis of before-after studies.Psychiatry and clinical neurosciences · 2023Pooled it
- COVID-19 risk, course and outcome in people with mental disorders: a systematic review and meta-analyses.Epidemiology and psychiatric sciences · 2023Pooled it
- The COVID-19 Pandemic and Daily Steps in the General Population: Meta-analysis of Observational Studies.JMIR public health and surveillance · 2023Pooled it
- Risk of SARS-CoV-2 infection, severe COVID-19 illness and COVID-19 mortality in people with pre-existing mental disorders: an umbrella review.BMC psychiatry · 2023Pooled it
- Mental Health Impact of Early Stages of the COVID-19 Pandemic on Individuals with Pre-Existing Mental Disorders: A Systematic Review of Longitudinal Research.International journal of environmental research and public health · 2023Pooled it
- Remote mental health care interventions during the COVID-19 pandemic: An umbrella review.Behaviour research and therapy · 2022Pooled it
- 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.European psychiatry : the journal of the Association of European Psychiatrists · 2022Pooled it
- Immune response to vaccination in adults with mental disorders: A systematic review.Journal of affective disorders · 2022Pooled it
- Systemic Inflammation and Anhedonic Responses to an Inflammatory Challenge in Adults With Major Depressive Disorder: A Randomized Controlled Trial.The American journal of psychiatry · 2025Trial
- Real world research on transcranial magnetic stimulation treatment strategies for neuropsychiatric symptoms with long-COVID in Japan.Asian journal of psychiatry · 2023Trial
- Severity of SARS-CoV-2 infection increases the risk of generalized anxiety disorder, major depressive disorder, and post-traumatic stress disorder in COVID-19 survivors: a prospective longitudinal cohort study.Brain, behavior, & immunity - health · 2026Article
- Trends in depressive episodes in pre-, intra-, and post-COVID-19 pandemic periods among South Korean adults.BMC public health · 2026Article
- Association between iron deficiency anemia and the risk of new-onset tuberculosis infection: a matched cohort analysis.Frontiers in nutrition · 2026Article
- Changes in drug-use behaviors among people who use drugs with comorbid psychiatric disorders across the COVID-19 pandemic: a three-phase longitudinal cohort study.Frontiers in public health · 2026Article
- Acute and long-term effects of COVID-19 on brain and mental health: A narrative review.Brain, behavior, and immunity · 2025Review
- Comorbidity patterns associated with severe COVID-19 outcomes: A cohort study based on the UK Biobank.PloS one · 2025Article
- Association of pre-existing depression and anxiety with Omicron variant infection.Molecular psychiatry · 2024Article
- Is There such a Thing as Post-Viral Depression?: Implications for Precision Medicine.Biomolecules & therapeutics · 2024Review
- Self-reported immune status and COVID-19 associated subjective cognitive functioning in post-COVID-19 syndrome: Examination of an Irish cohort.Brain and behavior · 2024Article
55 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Preexisting noncommunicable diseases (eg, diabetes) increase the risk of COVID-19 infection, hospitalization, and death. Mood disorders are associated with impaired immune function and social determinants that increase the risk of COVID-19. Determining whether preexisting mood disorders represent a risk of COVID-19 would inform public health priorities. Objective: To assess whether preexisting mood disorders are associated with a higher risk of COVID-19 susceptibility, hospitalization, severe complications, and death. Data Sources: Systematic searches were conducted for studies reporting data on COVID-19 outcomes in populations with and without mood disorders on PubMed/MEDLINE, The Cochrane Library, PsycInfo, Embase, Web of Science, Google/Google Scholar, LitCovid, and select reference lists. The search timeline was from database inception to February 1, 2021. Study Selection: Primary research articles that reported quantitative COVID-19 outcome data in persons with mood disorders vs persons without mood disorders of any age, sex, and nationality were selected. Of 1950 articles identified through this search strategy, 21 studies were included in the analysis. Data Extraction and Synthesis: The modified Newcastle-Ottawa Scale was used to assess methodological quality and risk of bias of component studies. Reported adjusted odds ratios (ORs) were pooled with unadjusted ORs calculated from summary data to generate 4 random-effects summary ORs, each corresponding to a primary outcome. Main Outcomes and Measures: The 4 a priori primary outcomes were COVID-19 susceptibility, COVID-19 hospitalization, COVID-19 severe events, and COVID-19 death. The hypothesis was formulated before study search. Outcome measures between individuals with and without mood disorders were compared. Results: This review included 21 studies that involved more than 91 million individuals. Significantly higher odds of COVID-19 hospitalization (OR, 1.31; 95% CI, 1.12-1.53; P = .001; n = 26 554 397) and death (OR, 1.51; 95% CI, 1.34-1.69; P < .001; n = 25 808 660) were found in persons with preexisting mood disorders compared with those without mood disorders. There was no association between mood disorders and COVID-19 susceptibility (OR, 1.27; 95% CI, 0.73-2.19; n = 65 514 469) or severe events (OR, 0.94; 95% CI, 0.87-1.03; n = 83 240). Visual inspection of the composite funnel plot for asymmetry indicated the presence of publication bias; however, the Egger regression intercept test result was not statistically significant. Conclusions and Relevance: The results of this systematic review and meta-analysis examining the association between preexisting mood disorders and COVID-19 outcomes suggest that individuals with preexisting mood disorders are at higher risk of COVID-19 hospitalization and death and should be categorized as an at-risk group on the basis of a preexisting condition.
Indexed as
Identifiers
What OpenQuestion holds
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.