Evidence map›Paper›PMID 32241244›Full record

ReviewEmerging microbes & infections2020

Diagnostic value and key features of computed tomography in Coronavirus Disease 2019.

Bingjie Li, Xin Li, Yaxuan Wang, Yikai Han, Yidi Wang, Chen Wang, Guorui Zhang, Jianjun Jin, Hongxia Jia, Feifei Fan and 3 more

Abstract readReview
In one paragraph

Review in Emerging microbes & infections, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Artificial intelligence algorithms based approach in evaluating COVID-19 patients and management.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2025
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  18. Chest Radiological Findings and Clinical Characteristics of Laboratory-Confirmed COVID-19 Patients from Saudi Arabia.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  19. Review
  20. 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

13 authors.

Bingjie LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Xin LiDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Yaxuan WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Yikai HanDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Yidi WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Chen WangDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Guorui ZhangDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Jianjun JinDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Hongxia JiaDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Feifei FanDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Wang MaDepartment of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Hong LiuDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.
Yue ZhouDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On 31 December 2019, a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, Hubei province, China, and caused the outbreak of the Coronavirus Disease 2019 (COVID-19). To date, computed tomography (CT) findings have been recommended as major evidence for the clinical diagnosis of COVID-19 in Hubei, China. This review focuses on the imaging characteristics and changes throughout the disease course in patients with COVID-19 in order to provide some help for clinicians. Typical CT findings included bilateral ground-glass opacity, pulmonary consolidation, and prominent distribution in the posterior and peripheral parts of the lungs. This review also provides a comparison between COVID-19 and other diseases that have similar CT findings. Since most patients with COVID-19 infection share typical imaging features, radiological examinations have an irreplaceable role in screening, diagnosis and monitoring treatment effects in clinical practice.

Indexed as

LungTomography, X-Ray ComputedBetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingDiagnosis, DifferentialDisease ProgressionHumansNucleic Acid Amplification TechniquesPandemicsPneumonia, ViralRadiography, ThoracicSARS-CoV-2Severe Acute Respiratory Syndromecomputed tomographyCoronavirus Disease 2019diagnosisground-glass opacitySARS-CoV-2

Identifiers

PMID32241244
PMCPMC7191895

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.