Evidence map›Paper›PMID 32252784›Full record

ArticleJournal of translational medicine2020

CT imaging changes of corona virus disease 2019(COVID-19): a multi-center study in Southwest China.

Xiaoming Li, Wenbing Zeng, Xiang Li, Haonan Chen, Linping Shi, Xinghui Li, Hongnian Xiang, Yang Cao, Hui Chen, Chen Liu and 1 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 6 pooled it
20.4field-weighted citation impact, top 1% 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

100 citing papers in PubMed, 6 syntheses or guidelines pooled it, 193 citations in OpenAlex.

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  16. Lung fibrosis: Post-COVID-19 complications and evidences.International immunopharmacology · 2023
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40 more citing papers are in PubMed but not listed here.

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

11 authors at 4 institutions in 1 country.

Xiaoming LiDepartment of Radiology, First Affiliated Hospital to Army Medical University, Chongqing, China.
Wenbing ZengDepartment of Radiology, Three Gorges Central Hospital, Chongqing, China.
Xiang LiDepartment of Radiology, Three Gorges Central Hospital, Chongqing, China.
Haonan ChenDepartment of Radiology, Three Gorges Central Hospital, Chongqing, China.
Linping ShiDepartment of Radiology, Hubei Provincial Corps Hospital Chinese People's Armed Police Forces, Wuhan, Hubei, China.
Xinghui LiDepartment of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Hongnian XiangDepartment of Radiology, Chongqing Wuxi County People's Hospital, Chongqing, China.
Yang CaoDepartment of Radiology, Dianjiang People's Hospital of  Chongqing, Chongqing, China.
Hui ChenDepartment of Radiology, First Affiliated Hospital to Army Medical University, Chongqing, China.
Chen LiuDepartment of Radiology, First Affiliated Hospital to Army Medical University, Chongqing, China. liuchen@aifmri.com.
Jian WangDepartment of Radiology, First Affiliated Hospital to Army Medical University, Chongqing, China. wangjian_811@yahoo.com.
Army Medical University · CNChongqing Three Gorges Central Hospital · CNAffiliated Hospital of North Sichuan Medical College · CNChinese People's Armed Police Force

Funding

Military medical innovation ability improvement plan of medical staff in the First Affiliated Hospital to Army Medical University SWH2018QNWQ-04National Key Research and Development Project 2016YFC0107101Nursery Talents of Army Medical University 2017MPRC-07the research about Chongqing Key technology and application demonstration of medical imaging depth intelligent diagnostic platform cstc2018jszx-cyztzxX0017
6 · The paper itself

Abstract

backgroundSince the first case of a coronavirus disease 2019 (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Southwest China. The aim of this study was to describe the imaging manifestations of hospitalized patients with confirmed COVID-19 infection in southwest China.

methodsIn this retrospective study, data were collected from 131 patients with confirmed coronavirus disease 2019 (COVID-19) from 3 Chinese hospitals. Their common clinical manifestations, as well as characteristics and evolvement features of chest CT images, were analyzed.

resultsA total of 100 (76%) patients had a history of close contact with people living in Wuhan, Hubei. The clinical manifestations of COVID-19 included cough, fever. Most of the lesions identified in chest CT images were multiple lesions of bilateral lungs, lesions were more localized in the peripheral lung, 109 (83%) patients had more than two lobes involved, 20 (15%) patients presented with patchy ground glass opacities, patchy ground glass opacities and consolidation of lesions co-existing in 61 (47%) cases. Complications such as pleural thickening, hydrothorax, pericardial effusion, and enlarged mediastinal lymph nodes were detected but only in rare cases. For the follow-up chest CT examinations (91 cases), We found 66 (73%) cases changed very quickly, with an average of 3.5 days, 25 cases (27%) presented absorbed lesions, progression was observed in 41 cases (46%), 25 (27%) cases showed no significant changes.

conclusionChest CT plays an important role in diagnosing COVID-19. The imaging pattern of multifocal peripheral ground glass or mixed consolidation is highly suspicious of COVID-19, that can quickly change over a short period of time.

Indexed as

BetacoronavirusAdultAgedAged, 80 and overChinaClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingFemaleHumansMaleMiddle AgedPandemicsPneumonia, ViralSARS-CoV-2Computed tomographyCoronavirusEvolvementPneumoniaThe chest

Identifiers

PMID32252784
PMCPMC7132551
OpenAlexW3015058572

What OpenQuestion holds

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LicenceCC BY
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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.