The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Diabetes as a risk factor for greater COVID-19 severity and in-hospital death: A meta-analysis of observational studies
Open accessAbstract
Aims To estimate the prevalence of established diabetes and its association with the clinical severity and in-hospital mortality associated with COVID-19. Data synthesis We systematically searched PubMed, Scopus and Web of Science, from 1st January 2020 to 15th May 2020, for observational studies of patients admitted to hospital with COVID-19. Meta-analysis was performed using random-effects modeling. A total of 83 eligible studies with 78,874 hospitalized patients with laboratory-confirmed COVID-19 were included. The pooled prevalence of established diabetes was 14.34% (95% CI 12.62–16.06%). However, the prevalence of diabetes was higher in non-Asian vs. Asian countries (23.34% [95% CI 16.40–30.28] vs. 11.06% [95% CI 9.73–12.39]), and in patients aged ≥60 years vs. those aged <60 years (23.30% [95% CI 19.65–26.94] vs. 8.79% [95% CI 7.56–10.02]). Pre-existing diabetes was associated with an approximate twofold higher risk of having severe/critical COVID-19 illness (n = 22 studies; random-effects odds ratio 2.10, 95% CI 1.71–2.57; I2 = 41.5%) and ~threefold increased risk of in-hospital mortality (n = 15 studies; random-effects odds ratio 2.68, 95% CI 2.09–3.44; I2 = 46.7%). Funnel plots and Egger's tests did not reveal any significant publication bias. Conclusions Pre-existing diabetes is significantly associated with greater risk of severe/critical illness and in-hospital mortality in patients admitted to hospital with COVID-19.
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A Re-Evaluation of Random-Effects Meta-Analysis
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“8 random-effects model, as this methodology takes into account any differences 156 between studies even if there is no statistically significant heterogeneity [8,11].”
Meta-analysis: Principles and procedures
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Cited by
Acute Pulmonary Embolism Associated with COVID-19 Pneumonia Detected with Pulmonary CT Angiography
Grillet, F., Behr, J., Calame, P., Aubry, S., & Delabrousse, E. (2020) · Radiology · doi:10.1148/radiol.2020201544 · Cited by 553
Lustig, Y., Sapir, E., Regev-Yochay, G., Cohen, C., Fluss, R., Olmer, L., Indenbaum, V., Mandelboim, M., Doolman, R., Amit, S., et al. (2021) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(21)00220-4 · Cited by 342
Anti-inflammatory properties of antidiabetic drugs: a “promised land” in the COVID-19 era?
Katsiki, N., & Ferrannini, E. (2020) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2020.107723 · Cited by 91
Lustig, Y., Sapir, E., Regev-Yochay, G., Cohen, C., Fluss, R., Olmer, L., Indenbaum, V., Mandelboim, M., Doolman, R., Amit, S., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3790408 · Cited by 4
Metadata
- Authors
- Mantovani, A., Byrne, C. D., Zheng, M.-H., & Targher, G.
- Venue
- Nutrition, Metabolism and Cardiovascular Diseases
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 30
- Issue
- 8
- Pages
- 1236-1248
- ISSN
- 0939-4753 (ISSN-L)
- OpenAlex
- W3031835167
- Cited by
- 271
- References
- 21
- FWCI
- 3.31
- Type
- journal article
- Language
- en
- Open access
- bronze
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