Evidence map›Paper›PMID 42022855›Full record

ArticleFrontiers in oral health2026

The prevalence and associated factors of early childhood caries in 3- to 5-year-old children in Shaanxi Province, China: a cross-sectional study.

Zhiping Hu, Lingxia Zeng, Lin Huang, Leiting Du, Yurong Zhang, Yulu Wang, Riham Awad

Abstract read
In one paragraph

Article in Frontiers in oral health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

7 authors.

Zhiping HuKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Lingxia ZengDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Lin HuangDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Leiting DuKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yurong ZhangKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yulu WangKey Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Riham AwadDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To determine the prevalence of early childhood caries (ECC), identify high-risk tooth sites, and analyze region-specific and early-life risk factors among 3- to 5-year-old children in Shaanxi Province, China. Methods: A cross-sectional study was conducted using stratified cluster random sampling to select 571 children from northern, central, and southern Shaanxi. Clinical oral examinations were performed following World Health Organization (WHO) criteria. Primary caregivers completed questionnaires regarding sociodemographic characteristics, birth outcomes, feeding practices, and dietary behaviors. Logistic regression analysis was employed to identify factors associated with ECC prevalence. Results: The overall ECC prevalence was 66.9%, with significant regional disparities (Northern: 85.6% vs. Central: 52.7%, Conclusion: ECC prevalence in Shaanxi Province is high, characterized by distinct regional variations and specific patterns of tooth susceptibility. Preventive strategies should address perinatal factors and dietary behaviors, with targeted interventions for high-risk mandibular molars and maxillary incisors initiated in early childhood.

Indexed as

dietary behaviorearly childhood cariesprevalencerisk factorstooth position

Identifiers

PMID42022855
PMCPMC13095519

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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.