SynthesisJournal of medical virology2021
Meta-analysis of chest CT features of patients with COVID-19 pneumonia.
Synthesis in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 3 of them syntheses that pooled it.
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Who cites it
52 citing papers in PubMed, 3 syntheses or guidelines pooled it, 120 citations in OpenAlex.
- Meta-analysis of chest CT features of patients with COVID-19 pneumonia.Journal of medical virology · 2021Pooled it
- Chest CT abnormalities in COVID-19: a systematic review.International journal of medical sciences · 2021Pooled it
- Chemoprophylaxis, diagnosis, treatments, and discharge management of COVID-19: An evidence-based clinical practice guideline (updated version).Military Medical Research · 2020Guideline
- Integrated assessment of total airway count and pneumonia volume on chest computed tomography as a prognostic biomarker for coronavirus disease.European radiology · 2026Article
- Pulmonary Cavitation as a Late and Self-Limited Complication of COVID-19 Pneumonia: A Case Report.Cureus · 2025Article
- The post-COVID-19 pulmonary sequelae: manifestations, mechanisms and treatment strategies.Journal of thoracic disease · 2025Review
- Prognostic value of functional CT imaging in COVID-ARDS: a two-centre prospective observational study.Respiratory research · 2025Observational
- A Nomogram for Predicting Survival in Patients with SARS-CoV-2 Omicron Variant Pneumonia Based on Admission Data.Infection and drug resistance · 2025Article
- Assessment of the Severity of COVID-19 on the Basis of Examination and Laboratory Diagnostics in Relation to Computed Tomography Imagery of Patients Hospitalised Due to COVID-19-Single-Centre Study.Healthcare (Basel, Switzerland) · 2024Article
- Association of clinical and imaging characteristics with pulmonary function testing in patients with Long-COVID.Heliyon · 2024Article
- Uncommon Causes of Interlobular Septal Thickening on CT Images and Their Distinguishing Features.Tomography (Ann Arbor, Mich.) · 2024Review
- Imaging in pulmonary infections of immunocompetent adult patients.Breathe (Sheffield, England) · 2024Review
- Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia.Diagnostics (Basel, Switzerland) · 2024Article
- COVID-19 associated lung cavitary lesions: A case series.Caspian journal of internal medicine · 2024Article
- Epidemiological and clinical features of COVID-19 inpatients in Changsha, China: A retrospective study from 2020 to 2022.Heliyon · 2023Article
- Article
- Comparing machine learning algorithms to predict COVID‑19 mortality using a dataset including chest computed tomography severity score data.Scientific reports · 2023Article
- Respiratory Syncytial Virus: A Systematic Review and Meta-Analysis of Tomographic Findings (2000-2022).Children (Basel, Switzerland) · 2023Review
- Comparison of Computed Tomography Scoring Systems in Patients with COVID-19 and Hematological Malignancies.Cancers · 2023Article
- Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
The objective of this paper is to perform a meta-analysis regarding the chest computed tomography (CT) manifestations of coronavirus disease-2019 (COVID-19) pneumonia patients. PubMed, Embase, and Cochrane Library databases were searched from 1 December 2019 to 1 May 2020 using the keywords of "COVID-19 virus," "the 2019 novel coronavirus," "novel coronavirus," and "COVID-19." Studies that evaluated the CT manifestations of common and severe COVID-19 pneumonia were included. Among the 9736 searched results, 15 articles describing 1453 common patients and 697 severe patients met the inclusion criteria. Based on the CT images, the common patients were less frequent to exhibit consolidation (odds ratio [OR] = 0.31), pleural effusion (OR = 0.19), lymphadenopathy (OR = 0.17), crazy-paving pattern (OR = 0.22), interlobular septal thickening (OR = 0.27), reticulation (OR = 0.20), traction bronchiectasis (OR = 0.40) with over two lobes involved (OR = 0.07) and central distribution (OR = 0.18) while more frequent to bear unilateral pneumonia (OR = 4.65) involving one lobe (OR = 13.84) or two lobes (OR = 6.95) when compared with severe patients. Other CT features including ground-glass opacities (P = .404), air bronchogram (P = .070), nodule (P = .093), bronchial wall thickening (P = .15), subpleural band (P = .983), vascular enlargement (P = .207), and peripheral distribution (P = .668) did not have a significant association with the severity of the disease. No publication bias among the selected studies was suggested (Harbord's tests, P > .05 for all.) We obtained reliable estimates of the chest CT manifestations of COVID-19 pneumonia patients, which might provide an important clue for the diagnosis and classification of COVID-19 pneumonia.
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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 OpenQuestion graph.