Observational studyEuropean radiology experimental2020
Chest x-ray severity score in COVID-19 patients on emergency department admission: a two-centre study.
Observational study in European radiology experimental, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT04834934 (Artificial Intelligence - SARS-CoV-2 Risk Evaluation), which is not on this map. Cited by 31 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.
Artificial Intelligence - SARS-CoV-2 Risk Evaluation
Who cites it
31 citing papers in PubMed, 64 citations in OpenAlex.
- Oxidative stress, antioxidant depletion, and DNA damage in post-COVID-19 patients: evidence of a disrupted redox network and loss of age-dependent antioxidant compensation.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Early chest x-ray severity assessed by the MBrixia score is associated with mortality in hospitalized patients with COVID-19 pneumonia.Scientific reports · 2026Article
- Predictive validity of the simplified Radiographic Assessment of Lung Edema score for mortality in critically ill patients with COVID-19.Frontiers in medicine · 2026Article
- TIPE2 suppresses ferroptosis and pro-inflammatory polarization in macrophages triggered by SARS-CoV-2 spike protein.Scientific reports · 2025Article
- The Use of the Modified Brixia Score for Predicting Mortality and Acute Respiratory Distress Syndrome in Patients with COVID-19 Pneumonia: What Have We Learned?Diagnostics (Basel, Switzerland) · 2025Article
- The Linear Association of Chest Radiograph Opacification With Both Respiratory Physiology and Systemic Inflammation in Hospital In-Patients With Covid-19 Infection.The clinical respiratory journal · 2025Article
- Article
- Comparison of the Discrimination Performance of AI Scoring and the Brixia Score in Predicting COVID-19 Severity on Chest X-Ray Imaging: Diagnostic Accuracy Study.JMIR formative research · 2024Article
- Health-related quality of life and radiological and functional lung changes of patients with COVID-19 Pneumonia 3 and 10 months after discharge.BMC pulmonary medicine · 2023Observational
- Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality.Scientific reports · 2023Article
- Multidimensional Machine Learning for Assessing Parameters Associated With COVID-19 in Vietnam: Validation Study.JMIR formative research · 2023Article
- Diagnostic performance of artificial intelligence algorithms for detection of pulmonary involvement by COVID-19 based on portable radiography.Medicina clinica (English ed.) · 2023Article
- A radiographic, deep transfer learning framework, adapted to estimate lung opacities from chest x-rays.Bioelectronic medicine · 2023Article
- Differential Radiographic Chest Findings in COVID-19 Positive Patients with and Without Comorbidities.Advanced biomedical research · 2023Article
- Article
- Brixia and qSOFA Scores, Coagulation Factors and Blood Values in Spring versus Autumn 2021 Infection in Pregnant Critical COVID-19 Patients: A Preliminary Study.Healthcare (Basel, Switzerland) · 2022Article
- Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning.BMC infectious diseases · 2022Article
- Article
- Chest Radiograph Scoring Alone or Combined with Other Risk Scores for Predicting Outcomes in COVID-19.Radiology · 2022Observational
- Abdominal obesity phenotype is associated with COVID-19 chest X-ray severity score better than BMI-based obesity.Eating and weight disorders : EWD · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIntegration of imaging and clinical parameters could improve the stratification of COVID-19 patients on emergency department (ED) admission. We aimed to assess the extent of COVID-19 pulmonary abnormalities on chest x-ray (CXR) using a semiquantitative severity score, correlating it with clinical data and testing its interobserver agreement.
methodsFrom February 22 to April 8, 2020, 926 consecutive patients referring to ED of two institutions in Northern Italy for suspected SARS-CoV-2 infection were reviewed. Patients with reverse transcriptase-polymerase chain reaction positive for SARS-CoV-2 and CXR images on ED admission were included (295 patients, median age 69 years, 199 males). Five readers independently and blindly reviewed all CXRs, rating pulmonary parenchymal involvement using a 0-3 semiquantitative score in 1-point increments on 6 lung zones (range 0-18). Interobserver agreement was assessed with weighted Cohen's κ, correlations between median CXR score and clinical data with Spearman's ρ, and the Mann-Whitney U test.
resultsMedian score showed negative correlation with SpO
conclusionsProposed CXR pulmonary severity score in COVID-19 showed moderate to almost perfect interobserver agreement and significant but weak correlations with clinical parameters, potentially furthering CXR integration in patients' stratification.
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