Evidence map›Paper›PMID 42117705›Full record

ArticleMicrobiology spectrum2026

Clinical characteristics, risk factors, and pathogen spectrum of mixed infections in children with

Cheng Wang, Shenghao Hua, Yang Li, Yuanyuan Gao, Lunjing Yan, Xuejun Shao, Jun Xu, Xin Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbiology spectrum, 2026. 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

8 authors.

Cheng Wang *Department of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, China.
Shenghao Hua *Department of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, China.ORCID 0009-0000-4422-9139
Yang Li *Department of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, China.
Yuanyuan GaoDepartment of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, China.
Lunjing YanDepartment of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, China.
Xuejun ShaoDepartment of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, China.ORCID 0000-0002-4853-2634
Jun XuDepartment of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, China.ORCID 0009-0009-0644-6744
Xin ZhangDepartment of Clinical Laboratory, Children's Hospital of Soochow University, Suzhou, China.ORCID 0009-0008-3567-1791

Funding

Government scholarship for studying abroad of jiangsu province 2024-087Guided Project of Jiangsu Provincial Natural Science Foundation Z2025037Gusu health talent program of suzhou 2024-094High Level Innovation and Entrepreneurial Research Team Program in Jiangsu (Expert Teams of Program of Innovation and Entrepreneurship of Jiangsu Province) 2020-30191Key research program cultivation project of children's hospital of soochow university 2023ZDPY02Medical research project of jiangsu commission of health M2020027National tutorial system project of suzhou health young backbone talents Qngg2022011Science and Technology Program of Suzhou SYW2024103Science and Technology Project of Suzhou Municipal Health Commission MSXM2025019Scientific Research Project of Jiangsu Provincial Maternal and Child Health Care Association FYX202505Special fundation for national science and technology basic research program of china 2019FY101200Suzhou Municipal Health Commission KJXW2023025
6 · The paper itself

Abstract

This study aimed to investigate the clinical characteristics, risk factors, and pathogen spectrum of mixed infections in children with IMPORTANCE: This study highlights the importance of mixed infections in pediatric MPP patients. The results indicate that mixed infections account for up to 63.03% of MPP cases in children and are significantly associated with an increased risk of severe pneumonia. The key risk factors identified include younger age, autumn onset, rhinorrhea, decreased complement C4 levels, and elevated AT-III levels, providing a basis for the early identification of high-risk patients. Pathogen spectrum analysis identified

Indexed as

CoinfectionMycoplasma pneumoniaePneumonia, MycoplasmaChildChild, PreschoolChinaFemaleHumansInfantMaleRetrospective StudiesRisk Factorschildrencomplement C4mixed infectionMycoplasma pneumoniaepathogen spectrumprediction modelrisk factors

Identifiers

PMID42117705
PMCPMC13227972

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.