Evidence map›Paper›PMID 33136488›Full record

ArticleRadiographics : a review publication of the Radiological Society of North America, Inc

Multisystem Imaging Manifestations of COVID-19, Part 2: From Cardiac Complications to Pediatric Manifestations.

Margarita V Revzin, Sarah Raza, Neil C Srivastava, Robin Warshawsky, Catherine D'Agostino, Ajay Malhotra, Anna S Bader, Ritesh D Patel, Kan Chen, Christopher Kyriakakos and 1 more

Abstract read
In one paragraph

Article in Radiographics : a review publication of the Radiological Society of North America, Inc. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 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

54 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. [A case of COVID-19 associated ischemic colitis].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2024
    Article
  8. Advance in the mechanism and clinical research of myalgia in long COVID.American journal of clinical and experimental immunology · 2024
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Coronavirus Disease: Subacute to Chronic Neuroimaging Findings.Neuroimaging clinics of North America · 2023
    Review
  14. COVID-19: Has the Liver Been Spared?International journal of molecular sciences · 2023
    Review
  15. Review
  16. Article
  17. Facial myonecrosis following COVID-19.Radiology case reports · 2022
    Article
  18. Article
  19. Review
  20. 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

11 authors.

Margarita V RevzinFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0002-4118-2475
Sarah RazaFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0002-2794-1113
Neil C SrivastavaFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).
Robin WarshawskyFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0001-5949-6774
Catherine D'AgostinoFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0002-8087-8619
Ajay MalhotraFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0001-9223-6640
Anna S BaderFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0002-3807-0261
Ritesh D PatelFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0003-3095-3235
Kan ChenFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0002-5007-0205
Christopher KyriakakosFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).
John S PelleritoFrom the Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 333 Cedar St, PO Box 208042, Room TE-2, New Haven, CT 06520 (M.V.R., A.M., A.S.B.); Department of Radiology, Zucker School of Medicine at Hofstra/Northwell, Northwell Health System, Manhasset, NY (S.R., R.W., C.D., R.D.P., K.C., C.K., J.S.P.); and Department of Diagnostic Radiology, Danbury Radiological Associates, PC, Danbury, Conn (N.C.S.).ORCID 0000-0002-6573-4684

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Infection with severe acute respiratory syndrome coronavirus 2 results in coronavirus disease 2019 (COVID-19), which was declared an official pandemic by the World Health Organization on March 11, 2020. COVID-19 has been reported in most countries, and as of August 15, 2020, there have been over 21 million cases of COVID-19 reported worldwide, with over 800 000 COVID-19-associated deaths. Although COVID-19 predominantly affects the respiratory system, it has become apparent that many other organ systems can also be involved. Imaging plays an essential role in the diagnosis of all manifestations of the disease and its related complications, and proper utilization and interpretation of imaging examinations is crucial. A comprehensive understanding of the diagnostic imaging hallmarks, imaging features, multisystem involvement, and evolution of imaging findings is essential for effective patient management and treatment. In part 1 of this article, the authors described the viral pathogenesis, diagnostic imaging hallmarks, and manifestations of the pulmonary and peripheral and central vascular systems of COVID-19. In part 2 of this article, the authors focus on the key imaging features of the varied pathologic manifestations of COVID-19, involving the cardiac, neurologic, abdominal, dermatologic and ocular, and musculoskeletal systems, as well as the pediatric and pregnancy-related manifestations of the virus.

Indexed as

AdolescentAdultAgedAsymptomatic DiseasesBetacoronavirusBrainCardiovascular SystemChildCoronavirus InfectionsCOVID-19FemaleGastrointestinal TractHumansInfant, NewbornLungMagnetic Resonance Imaging

Identifiers

PMID33136488
PMCPMC7646410

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.