Evidence map›Paper›PMID 33145348›Full record

ArticleBioMed research international2020

Molecular Epidemiology and Clinical Features Analysis of Respiratory Adenovirus Infections Reveals Correlations between Genotype, Inflammatory Biomarkers, and Disease Severity.

Hui Dai, Hongli Xi, Li Huang, Zhaohu Yuan, Yike Liao, Yongcai Tang, Jun Liao, Ling Min, Zhiwu Yu

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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 5 institutions in 1 country.

Hui DaiDepartment of Laboratory Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, China.ORCID https://orcid.org/0000-0001-6188-5111
Hongli XiDivision of Laboratory Science and Laboratory of Tumor and Virology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China.ORCID https://orcid.org/0000-0003-4875-4904
Li HuangDivision of Laboratory Science and Laboratory of Tumor and Virology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China.ORCID https://orcid.org/0000-0003-3668-9770
Zhaohu YuanDepartment of Blood Transfusion, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangzhou, 510180 Guangdong, China.ORCID https://orcid.org/0000-0002-0916-8550
Yike LiaoHealth Science Center, Peking University, Peking 100191, China.ORCID https://orcid.org/0000-0002-5134-0983
Yongcai TangDepartment of Laboratory Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, China.ORCID https://orcid.org/0000-0002-7813-5541
Jun LiaoDepartment of Laboratory Medicine, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong 510180, China.ORCID https://orcid.org/0000-0002-3118-934X
Ling MinDivision of Laboratory Science and Laboratory of Tumor and Virology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China.ORCID https://orcid.org/0000-0003-1819-9567
Zhiwu YuDivision of Laboratory Science and Laboratory of Tumor and Virology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong 510095, China.ORCID https://orcid.org/0000-0001-7935-5557
First Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University Cancer Hospital · CNGuangzhou Blood Center · CNGuangzhou First People's Hospital · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman adenoviruses (HAdVs) are commonly causing respiratory disease. We molecularly genotyped HAdV circulating in Chinese hospitalized children with respiratory infections and summarized the clinical profiles and common inflammatory biomarkers, so as to better determine their associations with disease severity.

methodChildren with respiratory single HAdV infection cases that occurred from December 2017 to March 2019 were enrolled for a cross-sectional study. Clinical/laboratory features based on the genotypes of respiratory HAdV infection were reviewed for comparative analysis.

resultsA total of 84 patients were enrolled, and HAdV types were identified from 82 patients. Species B (HAdV-7, 44%; HAdV-3, 43%, and HAdV-14, 5%) was the most common, followed by C (HAdV-2, 4% and HAdV-1, 1%) and E (HAdV-4, 1%). Severe HAdV infection and HAdV-7 infection groups were associated with significantly longer duration of fever and hospitalized days, higher morbidity of tachypnea/dyspnea, more pleural effusion, more respiratory rales, more frequently required mechanical ventilation, and significantly higher fatality rate. The elevated procalcitonin (PCT) and C-reactive protein (CRP) levels were significantly associated with severe HAdV infection.

conclusionsHAdV-7 and HAdV-3 were the most common types among children with respiratory adenovirus infection; vaccines against these two genotypes are in urgent need. PCT and CRP are significantly associated with the severity of HAdV infection.

Indexed as

Adenoviridae InfectionsAdenoviruses, HumanAdolescentBiomarkersChildChild, PreschoolC-Reactive ProteinCross-Sectional StudiesDyspneaFemaleGene ExpressionGenotypeHumansInfantLength of StayMaleBiomarkersC-Reactive ProteinProcalcitonin

Identifiers

PMID33145348
PMCPMC7596535
OpenAlexW3093654299

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.