Evidence map›Paper›PMID 40729341›Full record

Observational studyPloS one2025

Viral etiology of severe acute respiratory infections in hospitalized patients, Shandong, China.

Chunwang Li, Yujie He, Xiao Pan, Huimin Yin, Yaowen Pei, Shaoxia Song, Lin Sun, Shu Zhang, Julong Wu, Zhong Li and 5 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2025. 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
  2. Article
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

15 authors.

Chunwang LiSchool of Public Health, Shandong First Medical University, Jinan, Shandong, China.
Yujie HeShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Xiao PanShandong Institute of Parasitic Disease Control, Shandong First Medical University (Shandong Academy of Medical Sciences), Jining, Shandong, China.
Huimin YinSchool of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Yaowen PeiShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Shaoxia SongShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Lin SunShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Shu ZhangShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Julong WuShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Zhong LiShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Xianjun WangShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Zengqiang KouShandong Center for Disease Control and Prevention, Shandong Institute of Preventive Medicine, Shandong Provincial Key Laboratory of Intelligent Monitoring, Early Warning, and Prevention of Infectious Diseases (in preparation), Jinan, China.
Lei ZhaoShouguang Center for Disease Control and Prevention, Weifang, Shandong, China.
Weijia XingSchool of Public Health, Shandong First Medical University, Jinan, Shandong, China.
Ti LiuSchool of Public Health, Shandong First Medical University, Jinan, Shandong, China.ORCID https://orcid.org/0009-0009-7752-9539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere Acute Respiratory Infection (SARI) represents a critical global public health challenge, accounting for substantial severe morbidity and hospitalization burdens with distinct geographical patterns in etiological profiles. This study systematically characterizes the epidemiological and clinical phenotypes of SARI patients in Shouguang county, Shandong Province, China.

methodsA prospective observational study was conducted at Shouguang People's Hospital between August 28, 2023 and April 30, 2024, enrolling 1,730 hospitalized patients with SARI from the Departments of Infectious Diseases and Respiratory and Critical Care Medicine. Standardized electronic case report forms were used to systematically collect the demographic characteristics, clinical manifestations and laboratory testing results. Oropharyngeal swab specimens were collected within 24 hours of admission for each patient and stored at -80°C. Multiplex real-time quantitative PCR (RT-qPCR) was performed using the ABI 7500 system to detect 11 respiratory viruses infection, including influenza A virus (IFA), influenza B virus (IFB), respiratory syncytial virus (RSV), parainfluenza virus (HPIV), human coronaviruses (HCoV), human metapneumovirus (HMPV), rhinovirus (HRV), enterovirus (EV), human bocavirus (HBoV), human adenovirus (HAdV), and SARS-CoV-2 (COVID-19).

results501 samples (28.96%) were tested positive for at least one virus. The most frequently detected viruses and their infection rates were as follows: IFA (11.33%), COVID-19 (6.53%), HPIV (2.31%), HCoV (2.20%), RSV (1.79%), IFB (1.68%), HMPV (1.56%), EV (0.64%), HADV (0.52%), and HBoV (0.06%). Among patients aged 0-14 years, IFA and EV had the highest infection rates, both at 9.46% (7/74). In the 15-24 age group, IFA exhibited the highest infection rate at 19.70% (26/132). In patients aged ≥70 years, COVID-19 was the most frequently detected virus, with a infection rate of 10.69% (65/608). The overall virus infection rate peaked at 60.00% (30/50) in epidemiological week 48 of 2023. During weeks 46-50 of 2023, the overall infection rate remained consistently high (range: 28.42-60.00%). Significant differences in infection rates were observed across hospital departments (χ² = 5.52, P < 0.05), The Department of Infectious Diseases demonstrated a higher infection rate of 34.91% (162/464) compared to 29.07% (368/1266) in the Department of Respiratory Medicine.

conclusionViral etiological analysis of SARI patients in Eastern China identified IFA, COVID-19, and HPIV as the three predominant virus, with influenza virus exhibiting the highest frequency of co-infection with other respiratory viruses. Our study further revealed significant heterogeneity in virus distribution across different hospital departments, age groups, and admission periods. The most common clinical manifestations were cough and fever, with distinct symptomatic profiles observed among infections caused by different viruss. These findings provide scientific evidence to inform government strategies for optimizing the prevention and management of respiratory infectious diseases.

Indexed as

Respiratory Tract InfectionsAcute DiseaseAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaCOVID-19FemaleHospitalizationHumansInfantInfant, NewbornMale

Identifiers

PMID40729341
PMCPMC12306791

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.