Evidence map›Paper›PMID 33963512›Full record

SynthesisWorld journal of pediatrics : WJP2021

Chest computed tomography findings of COVID-19 in children younger than 1 year: a systematic review.

Alireza Ghodsi, Moniba Bijari, Seyed Ali Alamdaran, Amin Saberi, Elnaz Mahmoudabadi, Mohammad Reza Balali, Sara Ghahremani

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in World journal of pediatrics : WJP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Alireza GhodsiStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Moniba BijariStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Ali AlamdaranRadiology Department, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Amin SaberiFaculty of Medicine, Mashhad University of Medical Sciences, Azadi Sq, Mashhad, Iran.
Elnaz MahmoudabadiStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Reza BalaliPediatrician, Hasheminezhad Hospital, Mashhad, Iran.
Sara GhahremaniDepartment of Pediatrics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. ghahremanis@mums.ac.ir.ORCID 0000-0002-7343-0429
Mashhad University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this systematic review is to evaluate the chest computed tomography (CT) findings in infants with confirmed COVID-19 infection by providing a comprehensive review of the existing literature. DATA SOURCES: A systematic search was conducted on PubMed and Embase from the onset of the COVID-19 outbreak to October 20, 2020, for studies that discussed the chest CT findings in infants younger than 1 year with COVID-19 infection.

resultsA total of 35 studies comprising 70 COVID-19 (58.5% boys) confirmed infants were included. The mean age of the included patients was 4.1 months with a range of 1 day to 12 months. Chest CT scans showed bilateral abnormalities in 34 patients, and unilateral lung involvement in 25 patients. Ground-glass opacities (GGO) (71.43%) were found to be the most prevalent chest CT manifestation, followed by peribronchial thickening (60%), linear or band-shaped opacities (32.8%), consolidation (28.57%), nodule (18.57%), effusion (7.14%) and focal lucency (7.14%).

conclusionsGGO and peribronchial thickening were the most prevalent findings in the infants' chest CT scans. Linear or band-shaped opacities, consolidation, and pulmonary nodules are more common in infants than in adults. These findings suggest that the disease is more likely to be presented as an atypical pneumonia (peribronchial thickening and linear or band-shaped opacities) in this age group. Other chest CT scan manifestations can be classified as typical COVID-19 infection (peripheral GGO), lobar pneumonia (consolidation) and opportunistic infections (pulmonary nodules).

Indexed as

COVID-19HumansInfantInfant, NewbornPneumonia, ViralRadiography, ThoracicSARS-CoV-2Tomography, X-Ray ComputedComputerized tomographyCOVID-19InfantSARS-CoV-2Systematic review

Identifiers

PMID33963512
PMCPMC8104919
OpenAlexW3158855249

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.