SynthesisClinical imaging2021
Systematic review and meta-analysis of chest radiograph (CXR) findings in COVID-19.
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 20 papers.
What it found
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Who cites it
20 citing papers in PubMed, 43 citations in OpenAlex.
- The impact of technical factors on the chest radiographic findings in COVID-19 pneumonia.Journal of the colleges of medicine of South Africa · 2026Article
- Article
- Early association between respiratory mechanics and radiological changes in mechanically ventilated critically ill patients with COVID-19.Internal and emergency medicine · 2024Article
- COVID-19 in immunocompromised patients after hematopoietic stem cell transplantation: a pilot study.Blood science (Baltimore, Md.) · 2024Article
- Texture analysis of chest X-ray images for the diagnosis of COVID-19 pneumonia.Polish journal of radiology · 2024Article
- Gastrointestinal symptoms among COVID-19 patients presenting to a primary health care center of Nepal: A cross-sectional study.Health science reports · 2023Article
- Digital tomosynthesis improves chest radiograph accuracy and reduces microbiological false negatives in COVID-19 diagnosis.Emergency radiology · 2023Article
- Article
- Automated prediction of COVID-19 severity upon admission by chest X-ray images and clinical metadata aiming at accuracy and explainability.Scientific reports · 2023Article
- Current and Emerging Knowledge in COVID-19.Radiology · 2023Review
- Analysis of an Individualised Stepwise Approach to Non-Pharmacological Therapy in COVID-19.Respiration; international review of thoracic diseases · 2023Article
- Comparative analysis of chest radiography and lung ultrasound to predict intra-hospital prognosis of patients admitted for acute SARS-CoV-2 pneumonia (COVID-19).Medicina clinica · 2022Article
- Comparative analysis of chest radiography and lung ultrasound to predict intra-hospital prognosis of patients admitted for acute SARS-CoV-2 pneumonia (COVID-19).Medicina clinica (English ed.) · 2022Article
- COVID-19 pneumonia: lessons learned, challenges, and preparing for the future.Diagnostic and interventional radiology (Ankara, Turkey) · 2022Article
- Molecular imaging as a tool for evaluation of COVID-19 sequelae - A review of literature.World journal of radiology · 2022Review
- Clinical update on COVID-19 for the emergency clinician: Presentation and evaluation.The American journal of emergency medicine · 2022Review
- Post-infectious ST elevation myocardial infarction following a COVID-19 infection: A case report.Biomedical reports · 2022Article
- Multireader evaluation of radiologist performance for COVID-19 detection on emergency department chest radiographs.Clinical imaging · 2022Article
- Still a role for the chest radiograph - humble but helpful!African journal of thoracic and critical care medicine · 2022Article
- The role of chest imaging in the diagnosis, management, and monitoring of coronavirus disease 2019 (COVID-19).Insights into imaging · 2021Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chest radiography (CXR) is most likely to be the utilized modality for diagnosing COVID-19 and following up on any lung-associated abnormalities. This review provides a meta-analysis of the current literature on CXR imaging findings to determine the most common appearances of lung abnormalities in COVID-19 patients in order to equip medical researchers and healthcare professionals in their efforts to combat this pandemic. Twelve studies met the inclusion criteria and were analyzed. The inclusion criteria consisted of: (1) published in English literature; (2) original research study; (3) sample size of at least 5 patients; (4) reporting clinical characteristics of COVID-19 patients as well as CXR imaging features; and (5) noting the number of patients with each corresponding imaging feature. A total of 1948 patients were included in this study. To perform the meta-analysis, a random-effects model calculated the pooled prevalence and 95% confidence intervals of abnormal CXR imaging findings. Seventy-four percent (74%) (95% CI: 51-92%) of patients with COVID-19 had an abnormal CXR at the initial time of diagnosis or sometime during the disease course. While there was no single feature on CXR that was diagnostic of COVID-19 viral pneumonia, a characteristic set of findings were obvious. The most common abnormalities were consolidation (28%, 95% CI: 8-54%) and ground-glass opacities (29%, 95% CI: 10-53%). The distribution was most frequently bilateral (43%, 95% CI: 27-60%), peripheral (51%, 95% CI: 36-66%), and basal zone (56%, 95% CI: 37-74%) predominant. Contrary to parenchymal abnormalities, pneumothorax (1%, 95% CI: 0-3%) and pleural effusions (6%, 95% CI: 1-16%) were rare.
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