Evidence map›Paper›PMID 42591636›Full record

ArticleFrontiers in pediatrics2026

Analysis of the pathogen spectrum, co-infection characteristics, and risk of severe disease in community-acquired pneumonia among children in Henan province.

Lu Xiaojing, Li Shufang, Yang Qiuyan, Zhu Zhijie, Zhang Yanli, Xu Qingrong

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

6 authors.

Lu XiaojingDepartment of Respiratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Li ShufangDepartment of Respiratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yang QiuyanDepartment of Respiratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Zhu ZhijieDepartment of Respiratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Zhang YanliDepartment of Respiratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Xu QingrongDepartment of Respiratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the pathogen spectrum, co-infection characteristics, and risk factors for severe pneumonia in children with community-acquired pneumonia (CAP) in Henan Province. Methods: This study included 2,149 pediatric inpatients with CAP admitted to the Third Affiliated Hospital of Zhengzhou University from June 2023 to June 2025. Throat swab samples were tested using multiplex polymerase chain reaction (PCR) for 11 respiratory pathogens. Combined with culture results, the pathogen spectrum and co-infection characteristics were analyzed, and risk factors for severe pneumonia were identified using multivariate logistic regression analysis. It should be noted that a positive throat-swab PCR result cannot unambiguously differentiate pathogenic infection from colonization, prior infection, or asymptomatic carriage; this inherent limitation was taken into account during data interpretation. Results: The overall pathogen detection rate was 89.34%, with Conclusion: From June 2023 to June 2025, the pathogen spectrum of CAP in children in Henan Province was dominated by

Indexed as

childrenco-infectioncommunity-acquired pneumoniapathogen spectrumsevere pneumonia

Identifiers

PMID42591636
PMCPMC13462253

What Socratic 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 Socratic graph.