Evidence map›Paper›PMID 32524785›Full record

ReviewKorean journal of radiology2020

Infection Control and Management Strategy for COVID-19 in the Radiology Department: Focusing on Experiences from China.

Qian Chen, Zi Yue Zu, Meng Di Jiang, Lingquan Lu, Guang Ming Lu, Long Jiang Zhang

Open access · hybridAbstract 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Radiologists' Solutions for COVID-19 in Korea.Korean journal of radiology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Qian Chen *Department of Medical Imaging, Jinling Hospital, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-5874-1317
Zi Yue Zu *Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.ORCID 0000-0002-5546-6823
Meng Di JiangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Lingquan LuDepartment of Radiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Guang Ming LuDepartment of Medical Imaging, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Long Jiang ZhangDepartment of Medical Imaging, Jinling Hospital, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-6664-7224
Nanjing General Hospital of Nanjing Military Command · CNNanjing Medical University · CN

Funding

National Key Research and Development Program of China 2017YFC0113400
6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19) is a new infectious disease rapidly spreading around the world, raising global public health concerns. Radiological examinations play a crucial role in the early diagnosis and follow-up of COVID-19. Cross infection among patients and radiographers can occur in radiology departments due to the close and frequent contact of radiographers with confirmed or potentially infected patients in a relatively confined room during radiological workflow. This article outlines our experience in the emergency management procedure and infection control of the radiology department during the COVID-19 outbreak.

Indexed as

BetacoronavirusChinaCoronavirus InfectionsCOVID-19Cross InfectionEmergency Service, HospitalHumansInfection ControlOccupational ExposurePandemicsPneumonia, ViralRadiographyRadiology Department, HospitalRiskSARS-CoV-2COVID-19Infection controlRadiographerRadiology department

Identifiers

PMID32524785
PMCPMC7289699
OpenAlexW3025319005

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.