ReviewBioMedicine2024
Impact and prevalence of comorbidities and complications on the severity of COVID-19 in association with age, gender, obesity, and pre-existing smoking: A meta-analysis.
Review in BioMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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
4 citing papers in PubMed, 6 citations in OpenAlex.
- Haematological and Biochemical Parameters of COVID-19 Patients Hospitalised at Selected Central Hospitals in Malawi: A Retrospective Study.Health science reports · 2026Article
- Characteristics of COVID-19 cases and factors associated with disease severity in Lao People's Democratic Republic: a nationwide study.BMC infectious diseases · 2026Observational
- Clinical factors associated with hospitalization and mortality from COVID-19 in hypertensive patients in primary care: a multicenter study in Spain.BMC primary care · 2026Observational
- Machine learning models for the prediction of COVID-19 prognosis in the primary health care setting.BMC primary care · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: COVID-19 patients usually present multiple comorbidities and complications associated with severe forms of SARS-CoV-2 infection. This study aimed to assess the risk factors and prevalence of comorbidities and complications contributing to the severity of COVID-19. Methods: This meta-analysis was performed according to PRISMA guidelines. We searched various databases, including PubMed, Google Scholar, and Scopus (between 2020 and 2023), for eligible studies for this meta-analysis. Results: Thirty-three studies were eligible, including 85,812 patients, of which 36 % (30,634/85,812) had severe disease, whereas 64 % (55,178/85,812) had non-severe disease. Severe cases were potentially correlated with the following factors: gender (male) (odd ratio (OR) = 1.52, 95 % CI: 1.34-1.73), advanced age (OR = 3.06, 95 % CI: 2.18-4.40) pre-existing smoking (OR = 1.33, 95 % CI: 1.01-1.75), obesity (OR = 2.11, 95 % CI: 1.47-3.04), diabetes (OR = 1.81, 95 % CI: 1.35-2.43), hypertension (OR = 2.22, 95 % CI: 1.72-2.87), coronary heart disease (OR = 2.17, 95 % CI: 1.42-3.31), CKD (OR = 2.27, 95 % CI: 1.26-4.06), COPD (OR = 1.95, 95 % CI: 1.22-3.09), malignancy (OR = 1.63, 95 % CI: 1.07-2.49) and cerebrovascular disease (OR = 2.76, 95 % CI: 1.63-4.62). All these comorbidities were significantly higher in the severe COVID-19 group compared with the non-severe COVID-19 group. In addition, the most severe complications were associated with shock (OR = 28.08, 95 % CI: 3.49-226.03), ARDS (OR = 13.09, 95 % CI: 5.87-29.18), AKI (OR = 16.91, 95 % CI: 1.87-152.45) and arrhythmia (OR = 7.47, 95 % CI: 2.96-18.83). However, these complications were the most likely to prevent recovery in patients with severe affections compared with non-severe affection groups. Conclusion: All the comorbidities and complications listed above are more likely to cause severe forms of COVID-19 in some patients and hinder recovery. They are therefore risk factors to be controlled to minimize the undesirable effects of the disease.
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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 Socratic graph.