Seroepidemiological survey of

Yan Liu, Yuda Wang, Chao Zhang, Xiaofu Luo, Zizhe Zhang, Xiaoqiang Hu, Jianyong Shen

Abstract read

In one paragraph

Article in Frontiers in pediatrics, 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

7 authors.

Yan LiuHuzhou Center for Disease Control and Prevention (Institute of Health Supervision of Huzhou), Huzhou, Zhejiang, China.

Yuda WangHuzhou Center for Disease Control and Prevention (Institute of Health Supervision of Huzhou), Huzhou, Zhejiang, China.

Chao ZhangHuzhou Center for Disease Control and Prevention (Institute of Health Supervision of Huzhou), Huzhou, Zhejiang, China.

Xiaofu LuoHuzhou Center for Disease Control and Prevention (Institute of Health Supervision of Huzhou), Huzhou, Zhejiang, China.

Zizhe ZhangHuzhou Center for Disease Control and Prevention (Institute of Health Supervision of Huzhou), Huzhou, Zhejiang, China.

Xiaoqiang HuHuzhou Center for Disease Control and Prevention (Institute of Health Supervision of Huzhou), Huzhou, Zhejiang, China.

Jianyong ShenHuzhou Center for Disease Control and Prevention (Institute of Health Supervision of Huzhou), Huzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The study aimed to investigate the seroprevalence and geometric mean concentrations (GMCs) of Anti- Design: Anti-MP-IgG levels were categorized into negative (<24 AU/mL), borderline (≥24 AU/mL and <36 AU/mL), and positive (≥36 AU/mL) groups. The GMCs and prevalence rates were analyzed according to age and gender. Linear regression and logistic regression analyses were performed to assess trends and associations. Results: A total of 526 participants were enrolled in the study. The overall GMC of Anti-MP-IgG was 6.21 AU/mL (95% CI: 5.39-7.15). While there was no significant difference in GMCs between genders ( Conclusions: The seroprevalence and GMCs of Anti-MP-IgG showed a clear age-related increasing trend, indicating age as a significant factor for seropositivity in children aged 0-6 years. Further studies are needed to explore underlying mechanisms and the implications for public health strategies.

Indexed as

childrenimmunologicalinfectious diseaseMycoplasma pneumoniaeseroepidemiological

Identifiers

PMID41425882

DOI10.3389/fped.2025.1607910

PMCPMC12711775

What OpenQuestion holds

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LicenceCC BY

Read underepoch 390

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.