Evidence map›Paper›PMID 33560192›Full record

ReviewRadiology2021

COVID-19 Imaging: What We Know Now and What Remains Unknown.

Jeffrey P Kanne, Harrison Bai, Adam Bernheim, Michael Chung, Linda B Haramati, David F Kallmes, Brent P Little, Geoffrey D Rubin, Nicola Sverzellati

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05216523 ("Review of Barotrauma in Admitted Covid-19 Cases - A Single Center Retrospective Study From March 2020 Till April 2021."), which is not on this map. Cited by 70 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 2 pooled it
18.9field-weighted citation impact, top 1% 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.

NCT05216523 completednot on this map

"Review of Barotrauma in Admitted Covid-19 Cases - A Single Center Retrospective Study From March 2020 Till April 2021."

TypeobservationalSponsorSultan Qaboos UniversityRan2021 to 2021Enrolled251ConditionsBarotrauma, COVID-19
3 · Its place in the literature

Who cites it

70 citing papers in PubMed, 2 syntheses or guidelines pooled it, 149 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. LinkingLearning health systems · 2025
    Article
  9. Article
  10. Observational
  11. Article
  12. Observational
  13. Review
  14. Article
  15. Article
  16. Review
  17. CovC-ReDRNet: A Deep Learning Model for COVID-19 Classification.Machine learning and knowledge extraction · 2023
    Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Jeffrey P KanneFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).ORCID 0000-0002-4224-8536
Harrison BaiFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).ORCID 0000-0002-7460-8866
Adam BernheimFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).
Michael ChungFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).ORCID 0000-0002-0976-4088
Linda B HaramatiFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).ORCID 0000-0003-0365-7422
David F KallmesFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).ORCID 0000-0002-8495-0040
Brent P LittleFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).ORCID 0000-0001-6657-8241
Geoffrey D RubinFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).ORCID 0000-0002-3820-2500
Nicola SverzellatiFrom the Department of Radiology, School of Medicine and Public Health, University of Wisconsin, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Diagnostic Imaging, Rhode Island Hospital, and Warren Alpert Medical School, Brown University, Providence, RI (H.B.); Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (A.B., M.C.); Departments of Radiology and Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY (L.B.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (D.F.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Medical Imaging, College of Medicine, University of Arizona, Tucson, Ariz (G.R.); and Department of Medicine and Surgery, Scienze Radiologiche, University of Parma, Parma, Italy (N.S.).ORCID 0000-0002-4820-3785
Brown University · USAlbert Einstein College of Medicine · USUniversity of Parma · ITUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection with SARS-CoV-2 ranges from an asymptomatic condition to a severe and sometimes fatal disease, with mortality most frequently being the result of acute lung injury. The role of imaging has evolved during the pandemic, with CT initially being an alternative and possibly superior testing method compared with reverse transcriptase-polymerase chain reaction (RT-PCR) testing and evolving to having a more limited role based on specific indications. Several classification and reporting schemes were developed for chest imaging early during the pandemic for patients suspected of having COVID-19 to aid in triage when the availability of RT-PCR testing was limited and its level of performance was unclear. Interobserver agreement for categories with findings typical of COVID-19 and those suggesting an alternative diagnosis is high across multiple studies. Furthermore, some studies looking at the extent of lung involvement on chest radiographs and CT images showed correlations with critical illness and a need for mechanical ventilation. In addition to pulmonary manifestations, cardiovascular complications such as thromboembolism and myocarditis have been ascribed to COVID-19, sometimes contributing to neurologic and abdominal manifestations. Finally, artificial intelligence has shown promise for use in determining both the diagnosis and prognosis of COVID-19 pneumonia with respect to both radiography and CT.

Indexed as

COVID-19HumansLungSARS-CoV-2Sensitivity and SpecificityTomography, X-Ray Computed

Identifiers

PMID33560192
PMCPMC7879709
OpenAlexW3127784112

What OpenQuestion holds

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Registered trials

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.