Evidence map›Paper›PMID 40365437›Full record

ArticleFrontiers in public health2025

Application of quantitative real-time PCR for identifying respiratory tract pathogens in outpatients with RTIs.

Lin Qi, Yong Yang, Ziou Xu, Hongqiu Wang, Zhen Pan, Dan Zhao, Rui Liu, Haifang Zhang, Xiaofang Xie

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2025. 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
–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

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

9 authors.

Lin Qi *Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Yong Yang *Department of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Ziou XuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Hongqiu WangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Zhen PanDepartment of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Dan ZhaoDepartment of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Rui LiuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Haifang ZhangDepartment of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Xiaofang XieDepartment of Clinical Laboratory, The Second Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Respiratory tract infections (RTIs) caused by various pathogens, including viruses, bacteria, and fungi, pose significant public health challenges worldwide. Understanding the etiology and epidemiology of RTIs is necessary for clinical management, rational drug use, formulation of preventive measures, and vaccine development. Methods: Quantitative real-time PCR was used to detect and analyze respiratory pathogens in outpatients at a hospital in Suzhou, including FluA, FluB, RSV, ADV, HRV, MP, and SARS-CoV-2. Results: Among the 27,031 respiratory and throat swab samples, the positive rate of virus detection accounts for 25.6%. MP, SARS-CoV-2, and FluA, in particular, showed high positive rates among children, adolescents, and adults. The highest infection rates of RSV, HRV, and ADV were found in patients under 5 years old. High rates of FluA and FluB were observed in patients aged 5-17 and 18-44 years. However, the highest rate of SARS-CoV-2 infection was primarily observed in older adults. Seasonally, the infection rates of SARS-CoV-2 and FluA were highest in spring, FluB, RSV, and ADV in winter, HRV in autumn, and MP in summer and autumn. Conclusion: By analyzing the results of respiratory virus nucleic acid detection, we can gain a better understanding of the infection status of common respiratory viruses, providing a basis for clinical diagnosis and treatment.

Indexed as

OutpatientsReal-Time Polymerase Chain ReactionRespiratory Tract InfectionsAdolescentAdultAgedChildChild, PreschoolChinaCOVID-19FemaleHumansInfantMaleMiddle AgedSARS-CoV-2infection statusoutpatientsquantitative real-time PCRrespiratory tract infectionrespiratory tract pathogens

Identifiers

PMID40365437
PMCPMC12069401

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.