Evidence map›Paper›PMID 32767867›Full record

ReviewKorean journal of radiology2020

Current Status of Etiology, Epidemiology, Clinical Manifestations and Imagings for COVID-19.

Meng Di Jiang, Zi Yue Zu, U Joseph Schoepf, Rock H Savage, Xiao Lei Zhang, Guang Ming Lu, Long Jiang Zhang

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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

7 authors.

Meng Di Jiang *Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0002-3601-4696
Zi Yue Zu *Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0002-5546-6823
U Joseph SchoepfDivision of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0002-6164-5641
Rock H SavageDivision of Cardiovascular Imaging, Department of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0001-6167-4939
Xiao Lei ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0002-4272-9356
Guang Ming LuDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0003-4913-2314
Long Jiang ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China. kevinzhlj@163.com.ORCID 0000-0002-6664-7224

Funding

NSFC 2017YFC0113400
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a transmissible respiratory disease that was initially reported in Wuhan, China in December 2019. With the alarming levels of COVID-19 spread worldwide, the World Health Organization characterized COVID-19 as a pandemic. Over the past several months, chest CT has played a vital role in early identification, disease severity assessment, and dynamic disease course monitoring of COVID-19. The published data has enriched our knowledge on the etiology, epidemiology, clinical manifestations, and pathologic findings of COVID-19. Additionally, as the imaging spectrum of the disease continues to be defined, extrapulmonary infections or other complications will require further attention. This review aims to provide an updated framework and essential knowledge with which radiologists can better understand COVID-19.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralSARS-CoV-2Tomography, X-Ray ComputedWorld Health OrganizationCoronavirusInfectionsPandemicRadiology

Identifiers

PMID32767867
PMCPMC7458862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.