The Effect of Age on Mortality in Patients With COVID-19: A Meta-Analysis With 611,583 Subjects
Open accessAbstract
Objectives Initial data on COVID-19 infection has pointed out a special vulnerability of older adults. Design We performed a meta-analysis with available national reports on May 7, 2020 from China, Italy, Spain, United Kingdom, and New York State. Analyses were performed by a random effects model, and sensitivity analyses were performed for the identification of potential sources of heterogeneity. Setting and participants COVID-19-positive patients reported in literature and national reports. Measures All-cause mortality by age. Results A total of 611,1583 subjects were analyzed and 141,745 (23.2%) were aged ≥80 years. The percentage of octogenarians was different in the 5 registries, the lowest being in China (3.2%) and the highest in the United Kingdom and New York State. The overall mortality rate was 12.10% and it varied widely between countries, the lowest being in China (3.1%) and the highest in the United Kingdom (20.8%) and New York State (20.99%). Mortality was <1.1% in patients aged <50 years and it increased exponentially after that age in the 5 national registries. As expected, the highest mortality rate was observed in patients aged ≥80 years. All age groups had significantly higher mortality compared with the immediately younger age group. The largest increase in mortality risk was observed in patients aged 60 to 69 years compared with those aged 50 to 59 years (odds ratio 3.13, 95% confidence interval 2.61-3.76). Conclusions and implications This meta-analysis with more than half million of COVID-19 patients from different countries highlights the determinant effect of age on mortality with the relevant thresholds on age >50 years and, especially, >60 years. Older adult patients should be prioritized in the implementation of preventive measures.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the Bonanad et al. meta-analysis, mortality was 6 times higher in COVID-19 patients over 80 years old than in younger patients.
“In the Bonanad et al.66 metanalysis, mortality was 6 times higher in COVID-19 patients over 80 years old than in younger patients.”
From Portal-splenic-mesenteric venous thrombosis in COVID-19 patients: a systematic review (2025) · cites this paper as Bonanad et al.66
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 15 · Cited by 730
Research works printed but not linked: 10
- [2]Wu Z. McGoogan J.M. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention JAMA 2020 Feb 24 [Epub ahead of print] 32091533
- [3]Zhou F. Yu T. Du R. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: A retrospective cohort study Lancet 395 2020 1054 1062 32171076 PMC7270627
- [4]The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team Vital Surveillances: The Epidemiological Characteristics of an Outbreak of 2019 Novel Coronavirus Diseases (COVID-19)—China, 2020 2020 China CDC Weekly China 2 PMC8392929 34594836
- [7]Yang J. Zheng Y. Gou X. Prevalence of comorbidities in the novel Wuhan coronavirus (COVID-19) infection: A systematic review and meta-analysis Int J Infect Dis 94 2020 91 95 32173574 PMC7194638
- [9]Chen T. Wu D. Chen H. Clinical characteristics of 113 deceased patients with coronavirus disease 2019: Retrospective study BMJ 368 2020 m1091 32217556 PMC7190011
- [15]Porcheddu R. Serra C. Kelvin D. Similarity in case fatality rates (CFR) of COVID-19/SARS-COV-2 in Italy and China J Infect Dev Ctries 14 2020 125 128 32146445
- [16]Huang C. Wang Y. Li X. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China Lancet 395 2020 497 506 31986264 PMC7159299
- [17]Bonanad C. García-Blas S. Tarazona-Santabalbina F.J. Coronavirus: The Geriatric Emergency of 2020. Joint Document of the Geriatric Cardiology Section of the Spanish Society of Cardiology and the Spanish Society of Geriatrics and Gerontology [In Spanish] Rev Esp Cardiol 73 2020 569 576 PMC7205723 32446793
- [18]AlGhatrif M. Cingolani O. Lakatta E.G. The dilemma of coronavirus disease 2019, aging, and cardiovascular disease: Insights from cardiovascular aging science JAMA Cardiol 2020 Apr 3 [Epub ahead of print] PMC10089230 32242886
- [19]Livingston E. Bucher K. Coronavirus disease 2019 (COVID-19) in Italy JAMA 2020 Mar 17 [Epub ahead of print] 32181795
- Authors
- Bonanad, C., García-Blas, S., Tarazona-Santabalbina, F., Sanchis, J., Bertomeu-González, V., Fácila, L., Ariza, A., Núñez, J., & Cordero, A.
- Affiliations
- Hospital Clínico Universitario de Valencia (ES)
- Hospital General Universitario De Valencia (ES)
- Bellvitge University Hospital (ES)
- Hospital Universitari Sant Joan D'Alacant (ES)
- Corresponding author
- Cordero, Alberto
- Venue
- Journal of the American Medical Directors Association
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 21
- Issue
- 7
- Pages
- 915-918
- ISSN
- 1525-8610 (ISSN-L)
- PMC
- PMC7247470
- OpenAlex
- W3030328305
- Cited by
- 730
- References
- 15
- Citations by year
- 2026: 29 · 2025: 57 · 2024: 78 · 2023: 128 · 2022: 203 · 2021: 192 · 2020: 43
- FWCI
- 18.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American Medical Directors Association (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Repository of Digital Objects for Teaching Research and Culture (University of Valencia) (submittedVersion, other-oa)
- Funders
- Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CB16/11/00226-CB16/11/00420)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Keywords
- COVID-19 pandemic, age, all-cause mortality, older adults, octogenarians, age limits
- MeSH terms
- COVID-19, Aged, Aged, 80 and over, China, Female, United Kingdom, Humans, Italy, Male, Middle Aged, Mortality, New York, Pneumonia, Viral, Spain, Age Distribution, Coronavirus Infections, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review