Evidence map›Paper›PMID 33758638›Full record

ReviewPolish journal of radiology2021

Computed tomography of the chest in patients with COVID-19: what do radiologists want to know?

Ahmed Razek, Nehad Fouda, Dalia Fahmy, Mohamed Salah Tanatawy, Amina Sultan, Maha Bilal, Maysaa Zaki, Mahmoud Abdel-Aziz, Donia Sobh

Open access · diamondAbstract readReview
In one paragraph

Review in Polish journal of radiology, 2021. 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
1.8field-weighted citation impact, top 15% 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. Unveiling the Link Between COVID-19 and Pulmonary Hypertension.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Review
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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

9 authors at 2 institutions in 1 country.

Ahmed RazekFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Nehad FoudaFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Dalia FahmyFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Mohamed Salah TanatawyFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Amina SultanFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Maha BilalFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Maysaa ZakiFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Mahmoud Abdel-AzizFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Donia SobhFaculty of Medicine, Mansoura University, Mansoura, Egypt.
Mansoura University · EGMansoura University Hospital · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aim in the current study to review pulmonary and extra-pulmonary imaging features in patients infected with COVID-19. COVID-19 appears to be a highly contagious viral disease that attacks the respiratory system causing pneumonia. Since the beginning of the outbreak, several reports have been published describing various radiological patterns related to COVID-19. Radiological features of COVID-19 are classified into; pulmonary signs of which ground glass opacities are considered the characteristic followed by consolidation, and extra-pulmonary signs such as pulmonary embolism and pneumothorax, which are far less common and appear later in progressive disease. We review the different structured reporting systems that are published by different groups of radiologists using simple unified terms to enable good communication between the radiologist and the referring physician. Computed tomography of the chest is beneficial for early diagnosis of COVID-19 pneumonia, assessment of disease progression and guide to therapy, surveillance of patients with response to therapy, prediction of overlying bacterial infection, differentiation from simulating lesions, and screening with prevention and controls of the disease.

Indexed as

computed tomographyCOVID-19pneumoniarespiratory

Identifiers

PMID33758638
PMCPMC7976235
OpenAlexW3135306254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.