Evidence map›Paper›PMID 33510853›Full record

ReviewWorld journal of radiology2020

COVID-19 or non-COVID viral pneumonia: How to differentiate based on the radiologic findings?

Azadeh Eslambolchi, Ana Maliglig, Amit Gupta, Ali Gholamrezanezhad

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Review
  7. FDG-PET/CT of COVID-19 and Other Lung Infections.Seminars in nuclear medicine · 2022
    Review
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 at 3 institutions in 1 country.

Azadeh EslambolchiIndependent Radiologist Researcher, Bellevue, WA 98005, United States.
Ana MaligligDepartment of Radiology, Cardiothoracic and Advanced Body Imaging Division, Integrated Credential Committee, Clinical Radiology and Medicine, Keck School of Medicine, University of Southern California (USC) of Southern California (USC), Los Angeles, CA 90033, United States.
Amit GuptaDepartment of Radiology, Case Western Reserve University, Cardiothoracic Division, Modality Director Diagnostic Radiography, University Hospital Cleveland Medical Center, Cleveland, OH 44106, United States.
Ali GholamrezanezhadDepartment of Radiology, Keck School of Medicine, University of Sothern California (USC), Los Angeles, CA 90033, United States. ali.gholamrezanezhad@med.usc.edu.
University of Southern California · USBellevue College · USUniversity Hospitals of Cleveland · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Influenza viruses were responsible for most adult viral pneumonia. Presently, coronavirus disease 2019 (COVID-19) has evolved into serious global pandemic. COVID-19 outbreak is expected to persist in months to come that will be synchronous with the influenza season. The management, prognosis, and protection for these two viral pneumonias differ considerably and differentiating between them has a high impact on the patient outcome. Reverse transcriptase polymerase chain reaction is highly specific but has suboptimal sensitivity. Chest computed tomography (CT) has a high sensitivity for detection of pulmonary disease manifestations and can play a key-role in diagnosing COVID-19. We reviewed 47 studies and delineated CT findings of COVID-19 and influenza pneumonia. The differences observed in the chest CT scan can be helpful in differentiation. For instance, ground glass opacities (GGOs), as the most frequent imaging finding in both diseases, can differ in the pattern of distribution. Peripheral and posterior distribution, multilobular distribution, pure or clear margin GGOs were more commonly reported in COVID-19, whereas central or peri-bronchovascular GGOs and pure consolidations were more seen in influenza A (H1N1). In review of other imaging findings, further differences were noticed. Subpleural curvilinear lines, sugar melted sign, intra-lesional vascular enlargement, reverse halo sign, and fibrotic bands were more reported in COVID-19 than H1N1, while air space nodule, tree-in-bud, bronchiectasia, pleural effusion, and cavitation were more seen in H1N1. This delineation, when combined with clinical manifestations and laboratory results may help to differentiate these two viral infections.

Indexed as

Computed tomographyCoronavirusCOVID-19H1N1InfluenzaViral pneumonia

Identifiers

PMID33510853
PMCPMC7802079
OpenAlexW3114196634

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.