Evidence map›Paper›PMID 41699519›Full record

ArticleBMC infectious diseases2026

Epidemiological, clinical and laboratorial features of rotavirus infection in older children and adults: a multicenter hospital-based study in east China.

Jian Gao, Anqi Dai, Can Chen, Rongrong Qu, Mengsha Chen, Wenkai Zhou, Jiani Miao, Jiaxing Qi, Huihui Zhang, Jiaxin Chen and 6 more

Abstract readMulticenter Study
In one paragraph

Article in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Jian Gao *Zhejiang Provincial Center for Disease Control and Prevention, Binsheng Road, Binjiang District, No. 3399, Hangzhou, Zhejiang Province, China.
Anqi Dai *Department of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Can ChenDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Rongrong QuDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Mengsha ChenDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Wenkai ZhouDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Jiani MiaoDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Jiaxing QiDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Huihui ZhangDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Jiaxin ChenDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Qianqian FengDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Lingzi YaoDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Mengting CenDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Xiaofei ZhouDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China.
Ziping MiaoZhejiang Provincial Center for Disease Control and Prevention, Binsheng Road, Binjiang District, No. 3399, Hangzhou, Zhejiang Province, China. zpmiao@cdc.zj.cn.
Shigui YangDepartment of Emergency Medicine, Second Affiliated Hospital, Department of Epidemiology and Biostatistics, School of Public Health, the Key Laboratory of Intelligent Preventive Medicine of Zhejiang Province, Zhejiang University School of Medicine, No. 866, Yuhangtang Road, Xihu District, Hangzhou, China. yangshigui@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRotavirus (RV) is a leading cause of infectious gastroenteritis and associated deaths worldwide, imposing a substantial disease burden in China. This study aimed to describe the epidemiological characteristics, clinical manifestations and dominant genotypes of rotavirus infection in Zhejiang Province and evaluated risk factors for severe RV-associated diarrhea.

methodsA prospective study was conducted on patients with acute gastroenteritis (AGE) from multicenter hospitals in Zhejiang Province between 2023 and 2024. Relevant information was collected through epidemiological questionnaires and electronic medical records. Fecal samples were collected to detect pathogens and G/P serotypes.

resultsA total of 4,810 RV-infected patients were enrolled, including 75.95% aged 0–59 months, 22.56% aged 5–14 years, 0.95% aged 15–64 years and 0.54% aged ≥ 65 years. The gender distribution showed a slight male predominance. Regionally, Hangzhou had the highest number of cases (60.35%), while seasonally, spring was the peak period (65.09%), followed by winter (22.41%). Epidemiologically, the 5–14 years group had the highest per capita gross domestic product (GDP) in their residential areas, while the ≥ 65 years group had the highest average air temperature and the lowest relative humidity (P<0.05). Among the 130 RV-positive patients selected for clinical characteristics and genotype analysis (accounting for 2.70% of the total 4,810 cases), diarrhea (93.08%), vomiting (62.31%), and fever (12.31%) were the primary clinical manifestations. The average duration of diarrhea was 2.10 days (95% CI: 1.70-2.58) with 5.05 episodes per 24 hours, and the average duration of vomiting was 0.99 days (95% CI: 0.79-1.19) with 2.90 episodes per 24 hours. As for vaccination status, 78.46% of the 130 patients were unvaccinated, while 12.31% received pentavalent RV vaccine and 9.23% received domestic RV vaccine. The dominant genotypes were G8P[8] (32.31%) and G9P[8] (27.69%), with consistent genotype distribution patterns across different age groups (P>0.05). Regarding the severe rotavirus diarrhea analysis, 39.23% had severe diarrhea and 60.77% had non-severe diarrhea. Severe cases were characterized by longer durations of diarrhea and vomiting, higher frequencies of diarrhea and vomiting within 24 hours, and a higher proportion of high fever compared to non-severe cases (P<0.05). Genotype distribution also differed significantly between the two groups (P<0.05), with G3P[8] accounting for a much higher proportion in severe cases (17.56%) than in non-severe cases (1.27%). Multivariate logistic regression analysis showed that genotype G3P[8] (OR=21.67, 95% CI: 2.90-470.89) and delayed admission (1-3 days: OR=5.89, ≥ 3 days: OR=6.46) were independent risk factors for severe RV-associated diarrhea (P<0.05).

conclusionThis study clarifies the epidemiological, genotypic and clinical characteristics of RV infection in Zhejiang Province, providing a basis for precise prevention and control of RV infection and intervention for severe RV-associated diarrhea.

Indexed as

GastroenteritisRotavirusRotavirus InfectionsAdolescentAdultAgedChildChild, PreschoolChinaDiarrheaFecesFemaleGenotypeHospitalsHumansInfantEpidemiologyOlder children and adultsRotavirus

Identifiers

PMID41699519
PMCPMC13011450

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.