Evidence map›Paper›PMID 39696151›Full record

ArticleBMC pediatrics2024

Risk factors of severe conditions in hospitalized children with adenovirus infection and chest CT features.

Shaofang Wang, Shichao Kang, Lili Guo, Shuchang Zhou, Yanjie Zhao, Huifen Shen, Shourui Jin, Hanxiong Guan, Liming Xia, Qiongjie Hu

Abstract read
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Shaofang Wang *Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Dadao 1095(#), Wuhan, 430030, People's Republic of China.
Shichao Kang *Department of Radiology, Shenzhen Maternity & Child Healthcare Hospital, Affiliated to Southern Medical University, Hongli, Shenzhen, 518028, China.
Lili GuoDepartment of Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Shuchang ZhouDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Dadao 1095(#), Wuhan, 430030, People's Republic of China.
Yanjie ZhaoDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Dadao 1095(#), Wuhan, 430030, People's Republic of China.
Huifen ShenDepartment of Medical Records, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Shourui JinDepartment of Pediatric Hematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, People's Republic of China.
Hanxiong GuanDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Dadao 1095(#), Wuhan, 430030, People's Republic of China.
Liming XiaDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Dadao 1095(#), Wuhan, 430030, People's Republic of China. xialiming2017@outlook.com.
Qiongjie HuDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Dadao 1095(#), Wuhan, 430030, People's Republic of China. qjhu@outlook.com.

Funding

National Natural Science Foundation of China Grant No.82001785National Natural Science Foundation of China Grant No.82101277Natural Science Foundation of Hubei Province 2021CFB076
6 · The paper itself

Abstract

backgroundChildren infected with human adenovirus (HAdV) were at particularly high risk of developing severe disease, but the risk factors of severe conditions are poorly understood.

objectivesTo explore the risk factors for developing into severe conditions in pediatric patients with HAdV infection by analyzing baseline epidemiological data, clinical characteristics, and computed tomography (CT) imaging features.

methodsIn this retrospective study, 267 children with HAdV infection were included between October 2016 and September 2021 at Tongji Hospital, Wuhan, China. A descriptive analysis was conducted on the epidemiological and clinical data, as well as patient outcomes. CT manifestations were semi-quantitatively scored based on the presence of consolidation, ground-glass opacities, and emphysema in each lung lobe.

resultsOur analysis revealed that there was a statistically significant difference in the rate of abnormalities observed on chest CT imaging (P = 0.007) and the imaging characteristics of chest CTs (P = 0.002) when comparing severe and mild cases. We found that co-infection with two or more additional pathogens occurred more frequently in severe cases. Additionally, the proportion of lymphocytes in laboratory tests was significantly lower in patients with severe conditions. Furthermore, both the proportions and scores of consolidations were markedly higher in each lung lobe among the severe cases.

conclusionsOur findings may assist in identifying children hospitalized with HAdV who are at increased risk for severe conditions, thereby facilitating more aggressive treatment and care strategies.

Indexed as

Adenovirus Infections, HumanTomography, X-Ray ComputedChildChild, HospitalizedChild, PreschoolChinaFemaleHospitalizationHumansInfantLungMaleRetrospective StudiesRisk FactorsSeverity of Illness IndexChildrenComputed tomographyHuman adenovirusInfectionRisk factors

Identifiers

PMID39696151
PMCPMC11658393

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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.