Evidence map›Paper›PMID 32335426›Full record

ReviewEuropean journal of radiology2020

Imaging of coronavirus disease 2019: A Chinese expert consensus statement.

Qi Yang, Qiang Liu, Haibo Xu, Hong Lu, Shiyuan Liu, Hongjun Li

Abstract readReviewConsensus Statement
In one paragraph

Review in European journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
–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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Diaphragm and Phrenic Nerve Ultrasound in COVID-19 Patients and Beyond: Imaging Technique, Findings, and Clinical Applications.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2022
    Review
  12. Article
  13. Article
  14. Chest Computed Tomography (CT) as a Predictor of Clinical Course in Coronavirus Disease.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  15. Article
  16. Article
  17. Does CT help in reducing RT-PCR false negative rate for COVID-19?The Indian journal of radiology & imaging · 2021
    Article
  18. Article
  19. Article
  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

6 authors.

Qi YangDepartment of Radiology, Beijing Chao Yang Hospital, Capital Medical University, Beijing, 100020, China.
Qiang LiuDepartment of Radiology, Shandong Medical Imaging Reaserch Institute, Shandong University, Jinan, 250021, China.
Haibo XuDepartment of Radiology, Zhongnan Hospital, Wuhan University, Wuhan, 430071, China.
Hong LuDepartment of Radiology, The Seventh People's Hospital, Chongqing, 400054, China.
Shiyuan LiuDepartment of Radiology, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China. Electronic address: cjr.liushiyuan@vip.163.com.
Hongjun LiDepartment of Radiology, Beijing You'an Hospital, Capital Medical University, Beijing, 100069, China. Electronic address: lihongjun00113@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is highly contagious, mainly causing inflammatory lesions in the lungs, and can also cause damage to the intestine and liver. The rapid spread of the virus that causes coronavirus disease 2019 (COVID-19) pneumonia has posed complex challenges to global public health. Early detection, isolation, diagnosis, and treatment are the most effective means of prevention and control. At present, the epidemic situation of new coronavirus infection has tended to be controlled in China, and it is still in a period of rapid rise in much of the world. The current gold standard for the diagnosis of COVID-19 is the detection of coronavirus nucleic acids, but imaging has an important role in the detection of lung lesions, stratification, evaluation of treatment strategies, and differentiation of mixed infections. This Chinese expert consensus statement summarizes the imaging features of COVID-19 pneumonia and may help radiologists across the world to understand this disease better.

Indexed as

Artificial IntelligenceBetacoronavirusChinaConsensusCoronavirus InfectionsCOVID-19Diagnosis, DifferentialEarly DiagnosisHumansPandemicsPneumonia, ViralRadiography, ThoracicRadiologistsSARS-CoV-2Computed tomographyCOVID-19 pneumoniaImaging features

Identifiers

PMID32335426
PMCPMC7165105

What OpenQuestion holds

Textmetadata
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.