Evidence map›Paper›PMID 41315797›Full record

ArticleScientific reports2025

Changes in spectrum of respiratory pathogens infections among hospitalized patients post COVID-19 pandemic in Jinan, Shandong Province.

Lulu Li, Yunlei He, Ping Li, Xuelei Cao, Lili Wang

Abstract read
In one paragraph

Article in Scientific reports, 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

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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

5 authors.

Lulu LiDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Yunlei HeDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Ping LiDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Xuelei CaoDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China. caoxuelei@sdu.edu.cn.
Lili WangDepartment of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China. liliwang@sdu.edu.cn.

Funding

National Science and Technology Major Project 2024ZD0532700Natural Science Foundation of Shandong Province ZR2020MH323
6 · The paper itself

Abstract

The patterns of respiratory pathogens have undergone significant changes, underscoring the critical need for accurate pathogen identification to guide targeted treatment. This study aimed to investigate the positive rates of common respiratory pathogens over the past two years using the multiplex molecular testing in clinical settings. This study evaluated respiratory pathogens in 7861 hospitalized patients at Qilu Hospital of Shandong University from March 2022 to February 2024. Pathogen detection was performed using multiplex RT-PCR combined with capillary electrophoresis technology, targeting influenza A virus (Flu-A), influenza A virus H1N1 (H1N1), influenza A virus H3N2 (H3N2), influenza B virus (Flu-B), parainfluenza virus (PIV), adenovirus (ADV), human Metapneumovirus (HMPV), human Coronavirus (HCOV), Mycoplasma pneumoniae (MP), respiratory syncytial virus (RSV), parainfluenza virus (PIV), Boca virus (Boca), human Rhinovirus (HRV), and Chlamydia (Ch). A comparative analysis of epidemiological patterns was conducted between the period during and after implementation of COVID-19 control policies. The overall pathogen detection rate was significantly higher at 65.79% (3786/5754) post COVID-19 pandemic compared to 30.36% (640/2107) during COVID-19 pandemic. With the relaxation of COVID-19 control policies, the positive rates of viruses such as Flu-A, Flu-B, PIV, RSV, and HCOV increased significantly. In contrast, there were no significant differences in the positive rates of HRV and Boca between the two periods. Notably, the positive rate of RSV was significantly higher across all age groups in the post-pandemic COVID-19 period, expect among individuals aged 14-18 and 19-40 years. MP was identified as the predominant pathogen in patients aged 4-13 years. Seasonal variation was evident in the detection rates of respiratory pathogens, ranging from 18.27% in 2022 to 77.79% in 2023. Flu-A H1N1 subtype infections were detected throughout spring, autumn and winter of 2023, peaking in spring and declining gradually in subsequent months. Additionally, MP infections fist emerged in May 2023 and increased monthly, reaching the peak in October of the same year. The findings illustrate the progressive re-emergence and considerable epidemiological importance of multiple respiratory pathogens among hospitalized patients across different age groups and seasons during the two-year surveillance period. Utilizing a multiplex molecular approach for respiratory pathogen surveillance enables accurate assessment of prevalence trends, especially in hospitalized patients with more severe clinical presentations, which can help clinicians to take necessary measures in the management of prevention, control, and precise therapy.

Indexed as

COVID-19Respiratory Tract InfectionsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaFemaleHospitalizationHumansInfantInfant, NewbornMaleMiddle AgedCOVID-19DetectionMultiplex RT-PCRRespiratory pathogens

Identifiers

PMID41315797
PMCPMC12753716

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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.