Evidence map›Paper›PMID 41424625›Full record

ArticlePaediatrics & child health2025

Prevalence and seasonality of viral pathogens associated with respiratory tract infections in children.

Mehmet Karabey, Hatice Selda Kaya

Abstract read
In one paragraph

Article in Paediatrics & child health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

2 authors.

Mehmet KarabeyDepartment of Medical Microbiology, Muğla Training and Research Hospital, Muğla Sıtkı Koçman University, Muğla, Turkey.ORCID https://orcid.org/0000-0002-7394-186X
Hatice Selda KayaDepartment of Medical Microbiology, Muğla Training and Research Hospital, Muğla Sıtkı Koçman University, Muğla, Turkey.ORCID https://orcid.org/0009-0005-0433-1282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Acute respiratory infections(ARIs) represent a major global public health concern and affect all age groups. Children are infected approximately two to three times more frequently than adults. This study aimed to evaluate the prevalence and seasonality of viral pathogens associated with respiratory tract infections in children in our region. Materials and Methods: Between January 2019 and December 2024, respiratory viral pathogens were analyzed using the Rotor-GeneQ MDxdevice (Qiagen, Germany) with the FastTrack Diagnostics "FTD Respiratory Pathogens 21 Assay" multiplex real-time PCR kit. Results: The most frequently detected viral pathogen was RSV A/B (25.18%), while the least detected was PIV1 (0.54%). The most common pathogens were RSV A/B in 2019 and 2023, RSV A/B in 2020, PIV3 in 2021, RSVA/B in 2022, and Rhinovirus in 2024. RSV A/B was the most frequently detected virus in both girls and boys. HMPV A/B was significantly more common in males (p<0.05). Viral pathogens were detected in 73.60% of individuals aged ≤1 year, with RSV A/B being the most frequently identified. ARIs peaked during the winter months and were lowest in the summer. ARIs reached their highest level in December and dropped significantly in August. RSV A/B predominated in December, January, February, and March; Rhinovirus in April, May, and June; Adenovirus in July, August, September, and October; and Bocavirus in November. Conclusion: Monitoring the annual and seasonal distribution of respiratory viruses is critical for predicting and identifying epidemics and pandemics. This approach can help ensure accurate pathogen identification and prevent inappropriate antimicrobial treatments.

Indexed as

InfluenzaMultiplex PCRRespiratory tract infectionRSV A/B

Identifiers

PMID41424625
PMCPMC12718008

What OpenQuestion holds

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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.