ReviewClinical imaging2020
Coronavirus Disease 2019 (COVID-19) diagnostic technologies: A country-based retrospective analysis of screening and containment procedures during the first wave of the pandemic.
Review in Clinical imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021Pooled it
- COVID-19 in pregnancy: a systematic review of chest CT findings and associated clinical features in 427 patients.Clinical imaging · 2021Pooled it
- Prediction of COVID-19 Hospitalization and Mortality Using Artificial Intelligence.Healthcare (Basel, Switzerland) · 2024Article
- A Literature Review on the Relative Diagnostic Accuracy of Chest CT Scans versus RT-PCR Testing for COVID-19 Diagnosis.Tomography (Ann Arbor, Mich.) · 2024Review
- Understanding contextual and practical factors to inform WHO recommendations on using chest imaging to monitor COVID-19 pulmonary sequelae: a qualitative study exploring stakeholders' perspective.Health research policy and systems · 2024Article
- Country-based modelling of COVID-19 case fatality rate: A multiple regression analysis.World journal of virology · 2024Article
- Repurposing phone booths into COVID-19 sampling stations: medical operator experiences.International journal for equity in health · 2024Article
- Data-driven classification and explainable-AI in the field of lung imaging.Frontiers in big data · 2024Review
- Effectiveness of SARS-CoV-2 testing strategies: A scoping review.Cochrane evidence synthesis and methods · 2023Review
- A Global Review of the Impacts of the Coronavirus (COVID-19) Pandemic on Radiology Practice, Finances, and Operations.Life (Basel, Switzerland) · 2023Review
- Determination of scattered radiation dose for radiological staff during portable chest examinations of COVID-19 patients.Radiological physics and technology · 2023Article
- Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease.European physical journal plus · 2023Review
- The Clinical Outcomes of COVID-19 in Patients with Behçet's Disease: A Series of 7 Cases and Brief Review of the Literature.The Eurasian journal of medicine · 2022Article
- Glycan-Based Flow-Through Device for the Detection of SARS-COV-2.ACS sensors · 2021Article
- Imaging of COVID-19: CT, MRI, and PET.Seminars in nuclear medicine · 2021Review
- Imaging diagnosis of bronchogenic carcinoma (the forgotten disease) during times of COVID-19 pandemic: Current and future perspectives.World journal of clinical oncology · 2021Review
- Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection.Clinical microbiology reviews · 2021Review
- Declining interest in clinical imaging during the COVID-19 pandemic: An analysis of Google Trends data.Clinical imaging · 2021Article
- Coronavirus disease 2019 (COVID-19) in patients with systemic autoimmune diseases or vasculitis: radiologic presentation.Journal of thrombosis and thrombolysis · 2021Review
- Mortality due to COVID-19 infection: A comparison of first and second waves.Journal of community hospital internal medicine perspectives · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since first report of a novel coronavirus in December of 2019, the Coronavirus Disease 2019 (COVID-19) pandemic has crippled healthcare systems around the world. While many initial screening protocols centered around laboratory detection of the virus, early testing assays were thought to be poorly sensitive in comparison to chest computed tomography, especially in asymptomatic disease. Coupled with shortages of reverse transcription polymerase chain reaction (RT-PCR) testing kits in many parts of the world, these regions instead turned to the use of advanced imaging as a first-line screening modality. However, in contrast to previous Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome coronavirus epidemics, chest X-ray has not demonstrated optimal sensitivity to be of much utility in first-line screening protocols. Though current national and international guidelines recommend for the use of RT-PCR as the primary screening tool for suspected cases of COVID-19, institutional and regional protocols must consider local availability of resources when issuing universal recommendations. Successful containment and social mitigation strategies worldwide have been thus far predicated on unified governmental responses, though the underlying ideologies of these practices may not be widely applicable in many Western nations. As the strain on the radiology workforce continues to mount, early results indicate a promising role for the use of machine-learning algorithms as risk stratification schema in the months to come.
Indexed as
Identifiers
What OpenQuestion holds
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.