SynthesisClinical imaging2021
Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies.
Synthesis in Clinical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Differences in chest imaging between Omicron and non-Omicron coronavirus disease 2019 (COVID-19) patients: a systematic review and meta-analysis.BMC infectious diseases · 2025Pooled it
- Quantitative spectral computed tomography detects different patterns of airway wall thickening and contrast enhancement in infective lung disease: a feasibility study.European radiology · 2025Article
- Statistical plots in oncologic imaging, a primer for neuroradiologists.The neuroradiology journal · 2024Review
- A simple risk score for mortality including the PCR Ct value upon admission in patients hospitalized due to COVID-19.Infection · 2022Article
- Computed tomography findings and prognosis in older COVID-19 patients.BMC geriatrics · 2022Article
- Risk factors associated with mortality in ıntensive care COVID-19 patients: the importance of chest CT score and intubation timing as risk factorsTurkish journal of medical sciences · 2021Observational
- Imaging diagnosis of bronchogenic carcinoma (the forgotten disease) during times of COVID-19 pandemic: Current and future perspectives.World journal of clinical oncology · 2021Review
- Mediastinal lymph node enlargement in COVID-19: Relationships with mortality and CT findings.Heart & lung : the journal of critical careArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIt remains unclear whether a specific chest CT characteristic is associated with the clinical severity of COVID-19. This meta-analysis was performed to assess the relationship between different chest CT features and severity of clinical presentation in COVID-19.
methodsPubMed, Embase, Scopus, web of science databases (WOS), Cochrane library, and Google scholar were searched up to May 19, 2020 for observational studies that assessed the relationship of different chest CT manifestations and the severity of clinical presentation in COVID-19 infection. Risk of bias assessment was evaluated applying the Newcastle-Ottawa Scale. A random-effects model or fixed-effects model, as appropriately, were used to pool results. Heterogeneity was assessed using Forest plot, Cochran's Q test, and I2. Publication bias was assessed applying Egger's test.
resultsA total of 18 studies involving 3323 patients were included. Bronchial wall thickening (OR 11.64, 95% CI 1.81-74.66) was more likely to be associated with severe cases of COVID-19 infection, followed by crazy paving (OR 7.60, 95% CI 3.82-15.14), linear opacity (OR 3.27, 95% CI 1.10-9.70), and GGO (OR 1.37, 95% CI 1.08-1.73). However, there was no significant association between the presence of consolidation and severity of clinical presentation (OR 2.33, 95% CI 0.85-6.36). Considering the lesion distribution bilateral lung involvement was more frequently associated with severe clinical presentation (OR 3.44, 95% CI 1.74-6.79).
conclusionsOur meta-analysis of observational studies indicates some specific chest CT features are associated with clinical severity of COVID-19.
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