Evidence map›Paper›PMID 32633678›Full record

ReviewRadiology2020

Review of the Chest CT Differential Diagnosis of Ground-Glass Opacities in the COVID Era.

Maansi Parekh, Achala Donuru, Rashmi Balasubramanya, Sangita Kapur

Abstract readReview
In one paragraph

Review in Radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
–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

66 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

6 more citing papers are in PubMed but not listed here.

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

4 authors.

Maansi ParekhFrom the Department of Radiology, Thomas Jefferson University Hospitals, 132 S 10th St, 1079 Main Building, Philadelphia, PA 19107 (M.P., A.D., R.B.); and Department of Radiology, University of Cincinnati Medical Center, Cincinnati, Ohio (S.K.).ORCID 0000-0003-3308-918X
Achala DonuruFrom the Department of Radiology, Thomas Jefferson University Hospitals, 132 S 10th St, 1079 Main Building, Philadelphia, PA 19107 (M.P., A.D., R.B.); and Department of Radiology, University of Cincinnati Medical Center, Cincinnati, Ohio (S.K.).ORCID 0000-0001-8504-8764
Rashmi BalasubramanyaFrom the Department of Radiology, Thomas Jefferson University Hospitals, 132 S 10th St, 1079 Main Building, Philadelphia, PA 19107 (M.P., A.D., R.B.); and Department of Radiology, University of Cincinnati Medical Center, Cincinnati, Ohio (S.K.).
Sangita KapurFrom the Department of Radiology, Thomas Jefferson University Hospitals, 132 S 10th St, 1079 Main Building, Philadelphia, PA 19107 (M.P., A.D., R.B.); and Department of Radiology, University of Cincinnati Medical Center, Cincinnati, Ohio (S.K.).ORCID 0000-0002-9819-7360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19), a recently emerged lower respiratory tract illness, has quickly become a pandemic. The purpose of this review is to discuss and differentiate typical imaging findings of COVID-19 from those of other diseases, which can appear similar in the first instance. The typical CT findings of COVID-19 are bilateral and peripheral predominant ground-glass opacities. As per the Fleischner Society consensus statement, CT is appropriate in certain scenarios, including for patients who are at risk for and/or develop clinical worsening. The probability that CT findings represent COVID-19, however, depends largely on the pretest probability of infection, which is in turn defined by community prevalence of infection. When the community prevalence of COVID-19 is low, a large gap exists between positive predictive values of chest CT versus those of reverse transcriptase polymerase chain reaction. This implies that with use of chest CT there are a large number of false-positive results. Imaging differentiation is important for management and isolation purposes and for appropriate disposition of patients with false-positive CT findings. Herein the authors discuss differential pathology with close imaging resemblance to typical CT imaging features of COVID-19 and highlight CT features that may help differentiate COVID-19 from other conditions.

Indexed as

BetacoronavirusClinical Laboratory TechniquesCoronavirus InfectionsCOVID-19COVID-19 TestingDiagnosis, DifferentialHumansLungPandemicsPneumonia, ViralSARS-CoV-2Tomography, X-Ray Computed

Identifiers

PMID32633678
PMCPMC7350036

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.