Evidence map›Paper›PMID 32185669›Full record

ArticleJapanese journal of radiology2020

COVID-19 pneumonia: infection control protocol inside computed tomography suites.

Kento Nakajima, Hideaki Kato, Tsuneo Yamashiro, Toshiharu Izumi, Ichiro Takeuchi, Hideaki Nakajima, Daisuke Utsunomiya

Abstract read
In one paragraph

Article in Japanese journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
  2. Guideline
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Imaging of COVID-19: An update of current evidences.Diagnostic and interventional imaging · 2021
    Review
  14. Article
  15. Imaging of COVID-19: CT, MRI, and PET.Seminars in nuclear medicine · 2021
    Review
  16. Review
  17. Article
  18. Article
  19. Does CT help in reducing RT-PCR false negative rate for COVID-19?The Indian journal of radiology & imaging · 2021
    Article
  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Kento NakajimaAdvanced Critical Care Medicine, Yokohama City University Hospital, Yokohama, Japan.
Hideaki KatoInfection Prevention and Control Department, Yokohama City University Hospital, Yokohama, Japan.
Tsuneo YamashiroDiagnostic Radiology, Yokohama City University Hospital, 3-9, Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan.
Toshiharu IzumiCentral Radiology, Yokohama City University Hospital, Yokohama, Japan.
Ichiro TakeuchiAdvanced Critical Care Medicine, Yokohama City University Hospital, Yokohama, Japan.
Hideaki NakajimaHematology and Clinical Immunology, Yokohama City University Hospital, Yokohama, Japan.
Daisuke UtsunomiyaDiagnostic Radiology, Yokohama City University Hospital, 3-9, Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan. d.utsunomiya@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel coronavirus (severe acute respiratory syndrome coronavirus 2) causes a cluster of pneumonia cases in Wuhan, China. It spread rapidly and globally. CT imaging is helpful for the evaluation of the novel coronavirus disease 2019 (COVID-19) pneumonia. Infection control inside the CT suites is also important to prevent hospital-related transmission of COVID-19. We present our experience with infection control protocol for COVID-19 inside the CT suites.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19HumansInfection ControlInfectious Disease Transmission, Patient-to-ProfessionalPandemicsPersonal Protective EquipmentPneumonia, ViralRadiology Department, HospitalSARS-CoV-2Tomography, X-Ray ComputedComputed tomographyCOVID-19InfectionPneumonia

Identifiers

PMID32185669
PMCPMC7089199

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.