Evidence map›Paper›PMID 33047093›Full record

ArticleEuropean journal of radiology open2020

Evaluation of chest CT and clinical features of COVID-19 patient in Macao.

Chon Man Ieong, Xi Xu, Soi Chau Kong, Liangping Luo

Open access · goldAbstract read
In one paragraph

Article in European journal of radiology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Chon Man IeongRadiology Department, Centro Hospitalar Conde de São Januário, 999078, Macao.
Xi XuDepartment of Medical Imaging Center, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
Soi Chau KongRadiology Department, Centro Hospitalar Conde de São Januário, 999078, Macao.
Liangping LuoDepartment of Medical Imaging Center, the First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
First Affiliated Hospital of Jinan University · CNHospital Conde S. Januário · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCoronavirus disease-19 (COVID-19) was firstly reported in December 2019 in Wuhan, China and soon after, the number of cases increased rapidly worldwide. As of May 2, 2020, more than 3,000,000 confirmed cases have been reported world. In Macao, there were 45 confirmed COVID-19 cases until May 2, 2020. MATERIAL AND

methodsIn this study, we summarized the radiological features of these cases and analyzed relationship between the clinical characteristics and radiological findings. We retrospectively analyzed the imaging manifestations of the 45 cases with COVID-19 in Macao, focusing on identifying and characterizing the most common radiological findings of COVID-19. We retrospectively analyze the relationship between the clinical features and radiological finding of COVID-19 pneumonia.

resultsThis study showed that chest CT manifestations of COVID-19 were multiple ground-glass densities in both lungs. It is dominated by bilateral peripheral subpleural distribution, which may be accompanied by consolidation, interlobular septa thickening, and adjacent pleura thickening. As the disease progresses, it can manifest as consolidation of the lungs in CT scan. We also found the age, smoking and hypertension may be risk factor for predicting the severity of COVID-19 in radiology.

conclusionCOVID-19 should be diagnosed based on the clinical feature, nCoV PCR test and radiological manifestation. The main manifestation of COVID-19 is peripheral ground glass opacity. Age, smoking and hypertension may be used to predict the severity of COVID-19. Chest CT is the important radiological method for screening and detecting COVID-19 patients.

Indexed as

Coronavirus disease 2019COVID-19PneumoniaSARS-CoV-2TomographyX-Ray computed

Identifiers

PMID33047093
PMCPMC7540199
OpenAlexW3092394494

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.