Evidence map›Paper›PMID 42422441›Full record

ArticleFrontiers in pediatrics2026

Qiuyue Yan, Hao Bi, Li Dai, Mengxin Shen, Zuliang Shi

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 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
–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

5 authors.

Qiuyue YanDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Hao BiDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li DaiDepartment of Pediatric Respiratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mengxin ShenDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zuliang ShiDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Viral co-infections are common in pediatric Methods: In this retrospective study, we collected data from the medical records of 504 children hospitalized with MPP between July 2021 and December 2024. The information extracted included clinical manifestations, laboratory findings, treatment modalities, and the presence of viral co-infections. Results: Viral co-detection occurred in 193 (38.3%) children, peaking in the 2-4 years age group (47.1%). Among children under 2 years, co-detection was associated with a higher severe disease rate (29.7% vs. 9.5%; Conclusion: Viral co-detection in preschool children with MPP is associated with more severe clinical outcomes, particularly in those under two years of age. Our findings identify pathogen-specific immune response patterns (driven by HMPV and RSV) and elevated serum IL-10 as key risk markers. These findings are hypothesis-generating; the observed associations do not establish causality, and require validation in prospective studies before informing clinical practice.

Indexed as

age-specific patternsdisease severityhuman metapneumovirus (HMPV)mycoplasma pneumoniae pneumoniapathogen-specific phenotypesviral co-infection

Identifiers

PMID42422441
PMCPMC13342035

What OpenQuestion holds

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LicenceCC BY
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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.