Evidence map›Paper›PMID 33778660›Full record

ArticleRadiology. Cardiothoracic imaging2021

Diagnostic Performance of CO-RADS and the RSNA Classification System in Evaluating COVID-19 at Chest CT: A Meta-Analysis.

Robert M Kwee, Hugo J A Adams, Thomas C Kwee

Abstract read
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
  2. Pooled it
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  4. Article
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  7. Article
  8. Article
  9. Article
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  12. Article
  13. COVID-19 in the Radiology Literature: A Look Back.Radiology. Cardiothoracic imaging · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Imaging of COVID-19: An update of current evidences.Diagnostic and interventional imaging · 2021
    Review
  18. Emerging Pulmonary Infections in Clinical Practice.Advances in clinical radiology · 2021
    Review
  19. Article
  20. Diagnostic performance of the RSNA-proposed classification for COVID-19 pneumonia versus pre-pandemic controls.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

3 authors.

Robert M KweeDepartment of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands. (H.J.A.A.); Department of Radiology, Nuclear Medicine and Molecular Imaging University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (T.C.K.).ORCID https://orcid.org/0000-0001-7760-867X
Hugo J A AdamsDepartment of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands. (H.J.A.A.); Department of Radiology, Nuclear Medicine and Molecular Imaging University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (T.C.K.).ORCID https://orcid.org/0000-0003-1049-7607
Thomas C KweeDepartment of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands (R.M.K.); Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands. (H.J.A.A.); Department of Radiology, Nuclear Medicine and Molecular Imaging University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (T.C.K.).ORCID https://orcid.org/0000-0001-9005-8529

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the diagnostic performance of the COVID-19 Reporting and Data System (CO-RADS) and the Radiological Society of North America (RSNA) categorizations in patients with clinically suspected coronavirus disease 2019 (COVID-19) infection. MATERIALS AND

methodsIn this meta-analysis, studies from 2020, up to August 24, 2020 were assessed for inclusion criteria of studies that used CO-RADS or the RSNA categories for scoring chest CT in patients with suspected COVID-19. A total of 186 studies were identified. After review of abstracts and text, a total of nine studies were included in this study. Patient information (

resultsNine studies (3283 patients) were included. Overall study quality was good, except for risk of non-performance of repeated reverse transcriptase polymerase chain reaction (RT-PCR) after negative initial RT-PCR and persistent clinical suspicion in four studies. Pooled COVID-19 frequencies in CO-RADS categories were: 1, 8.8%; 2, 11.1%; 3, 24.6%; 4, 61.9%; and 5, 89.6%. Pooled COVID-19 frequencies in RSNA classification categories were: negative 14.4%; atypical, 5.7%; indeterminate, 44.9%; and typical, 92.5%. Pooled pairs of sensitivity and specificity using CO-RADS thresholds were the following: at least 3, 92.5% (95% CI: 87.1, 95.7) and 69.2% (95%: CI: 60.8, 76.4); at least 4, 85.8% (95% CI: 78.7, 90.9) and 84.6% (95% CI: 79.5, 88.5); and 5, 70.4% (95% CI: 60.2, 78.9) and 93.1% (95% CI: 87.7, 96.2). Pooled pairs of sensitivity and specificity using RSNA classification thresholds for indeterminate were 90.2% (95% CI: 87.5, 92.3) and 75.1% (95% CI: 68.9, 80.4) and for typical were 65.2% (95% CI: 37.0, 85.7) and 94.9% (95% CI: 86.4, 98.2).

conclusionCOVID-19 infection frequency was higher in patients categorized with higher CORADS and RSNA classification categories.

Identifiers

PMID33778660
PMCPMC7808356

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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.