Evidence map›Paper›PMID 32825060›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Evaluation of the Usefulness of CO-RADS for Chest CT in Patients Suspected of Having COVID-19.

Tomoyuki Fujioka, Marie Takahashi, Mio Mori, Junichi Tsuchiya, Emi Yamaga, Toshihiro Horii, Hirofumi Yamada, Mizuki Kimura, Koichiro Kimura, Yoshio Kitazume and 2 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
5.9field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 2022
    Pooled it
  2. Pooled it
  3. Thoracic imaging tests for the diagnosis of COVID-19.The Cochrane database of systematic reviews · 2021
    Pooled it
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  15. COVIDiagnostics (Basel, Switzerland) · 2022
    Article
  16. Article
  17. Radiological Findings in SARS-CoV-2 Viral Pneumonia Compared to Other Viral Pneumonias: A Single-Centre Study.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2022
    Article
  18. Article
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  20. Observational
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

12 authors at 1 institution in 1 country.

Tomoyuki FujiokaDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.ORCID 0000-0002-7141-8901
Marie TakahashiDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Mio MoriDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.ORCID 0000-0002-6107-4519
Junichi TsuchiyaDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Emi YamagaDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Toshihiro HoriiDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Hirofumi YamadaDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.ORCID 0000-0002-7233-6940
Mizuki KimuraDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Koichiro KimuraDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Yoshio KitazumeDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Mitsuhiro KishinoDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Ukihide TateishiDepartment of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Tokyo Medical and Dental University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to use the Coronavirus Disease 2019 (COVID-19) Reporting and Data System (CO-RADS) to evaluate the chest computed tomography (CT) images of patients suspected of having COVID-19, and to investigate its diagnostic performance and interobserver agreement. The Dutch Radiological Society developed CO-RADS as a diagnostic indicator for assessing suspicion of lung involvement of COVID-19 on a scale of 1 (very low) to 5 (very high). We investigated retrospectively 154 adult patients with clinically suspected COVID-19, between April and June 2020, who underwent chest CT and reverse transcription-polymerase chain reaction (RT-PCR). The patients' average age was 61.3 years (range, 21-93), 101 were male, and 76 were RT-PCR positive. Using CO-RADS, four radiologists evaluated the chest CT images. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated. Interobserver agreement was calculated using the intraclass correlation coefficient (ICC) by comparing the individual reader's score to the median of the remaining three radiologists. The average sensitivity was 87.8% (range, 80.2-93.4%), specificity was 66.4% (range, 51.3-84.5%), and AUC was 0.859 (range, 0.847-0.881); there was no significant difference between the readers (

Indexed as

chest imagingcomputed tomographyCO-RADSCOVID-19pneumoniaradiology

Identifiers

PMID32825060
PMCPMC7555303
OpenAlexW3049281212

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.