Evidence map›Paper›PMID 40343012›Full record

ArticleFrontiers in radiology2025

Radiologic analysis of CT imaging patterns and clinical correlations in hospitalized pediatric COVID-19 patients.

Mehrnoosh Aghabeygiha, Seyed Alireza Fahimzad, Shima Behzad, Rasoul Hossein Zadeh, Farzad Sheikhzadeh, Yasaman Tamaddon, Mahmoud Hajipour, Reza Hossein Zadeh, Ali Neyriz, Neda Pak and 3 more

Abstract read
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Article in Frontiers in radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

13 authors.

Mehrnoosh Aghabeygiha *School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Seyed Alireza Fahimzad *School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shima Behzad *School of Medicine, Islamic Azad University of Medical Sciences, Tehran, Iran.
Rasoul Hossein ZadehFaculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Farzad SheikhzadehSchool of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Yasaman TamaddonFaculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
Mahmoud HajipourPediatric Gastroenterology, Hepatology and Nutrition Research Center, Research Institute for Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Reza Hossein ZadehStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Ali NeyrizRadiology Department, Faculty of Medicine, University of Medical Sciences, Qazvin, Iran.
Neda PakAssociate Professor of Radiology, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.
Armin ShirvaniPediatric Gastroenterology, Hepatology and Nutrition Research Center, Research Institute for Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Amirhossein HosseiniPediatric Gastroenterology, Hepatology and Nutrition Research Center, Research Institute for Children's Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mitra KhaliliRadiology Department, Mofid Children's Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: COVID-19 has emerged as a global pandemic affecting individuals of all ages. The disease can lead to severe complications and even death, particularly due to pulmonary involvement. Contrary to popular belief, children can also experience significant complications from COVID-19. To date, there have been limited studies focusing on pulmonary manifestations in pediatric patients with COVID-19. This study aims to investigate the imaging patterns (CT scans) in children diagnosed with COVID-19 in Iran. Materials and methods: This retrospective study analyzed data from hospitalized children with COVID-19 in Tehran from March 2020 to September 2020. Information collected included demographic details (sex and age), previous medical history, clinical manifestations, vital signs at admission, laboratory findings, and imaging results, including CT scan and chest x-ray. Results: 252 patients were included, with a mean age of 71.2 ± 59.42 months; 58.3% were male. Fever was the most prevalent symptom, occurring in 67.4% of cases. The most common underlying condition was oncological disorders, present in 85% of patients. Notably, 52% required admission to the ICU, and 1.8% needed intubation. CT scans revealed that the most frequent lung involvement patterns were mixed patterns and consolidation, with bilateral involvement being the most common. The mean CT score was calculated at 3 ± 4. Abnormal CT findings were associated with a poorer prognosis, and correlations were observed between specific CT findings and clinical manifestations. Conclusion: Chest CT manifestations offer valuable insights for assessing pediatric patients with COVID-19, especially in severe cases and those with pre-existing health conditions. Integrating clinical evaluations with radiological scoring systems facilitates early identification of disease severity.

Indexed as

COVID-19CT scanICU—intensive care unitinfectionpediatric

Identifiers

PMID40343012
PMCPMC12058800

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