Evidence map›Paper›PMID 40764955›Full record

Observational studyBMC pediatrics2025

Development and validation of a novel public prediction platform for deciduous caries in preschool children: an observational study from Northwest China.

Zhidong Zhang, Zhihao Dou, Xu Zhang, Di Wang, Kamenjiang Abudoureheman, Yimin Yan, Fenyan Kang, Wei Zhang, Wenbo Meng, Kailiang Zhang and 4 more

Abstract readObservational StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in BMC pediatrics, 2025. 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. Review
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

14 authors.

Zhidong ZhangSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China.
Zhihao DouSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China.
Xu ZhangEndoscopic Diagnosis and Treatment Center, Gansu Province Hospital, Lanzhou, China.
Di WangSchool of Stomatology, Xi'an Jiaotong University, Xi'an, China.
Kamenjiang AbudourehemanSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China.
Yimin YanSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China.
Fenyan KangGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Wei ZhangThe Center of Health Management, The Second Hospital of Lanzhou University, Lanzhou, China.
Wenbo MengThe Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China.
Kailiang ZhangSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China.
Zhige LiSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China.
Jie ZhangSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China. zhangjie@lzu.edu.cn.
Bin LiuSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China. stomatologyliubin@163.com.
Baoping ZhangSchool (Hospital) of Stomatology, Lanzhou University, Lanzhou, China. zhbaoping@hotmail.com.

Funding

Fundamental Research Funds for the scientific research fund of School (Hospital) of Stomatology Lanzhou University lzukqky-2022-t12National Natural Science Foundation of China 81970976Natural Science Foundation of GanSu Province 23JRRA1080Research Program of Gansu Province Health and Wellness Industry GSWSKY2023-19
6 · The paper itself

Abstract

backgroundEarly childhood caries (ECC) is a major global public health concern, necessitating its early screening. This study aimed to establish a caries risk assessment (CRA) platform for managing caries in community preschool children in underdeveloped regions of Northwest China.

methodsWe collected clinical examination and questionnaire data of children aged 3 to 5 years in six regions of Gansu Province. Then we selected variables using least absolute shrinkage and selection operator (LASSO) regression and constructed a CRA model utilizing multivariate logistic regression analyses. The predictive performance was assessed by the receiver operating characteristic (ROC), calibration, clinical decision and impact curves. The subgroup application was analyzed on the basis of the residence of children.

resultsThe CRA model included age, residence, feeding pattern within six months of birth, history of toothache, and history of dental visits as predictors. The Hosmer-Lemeshow test showed that the model fitting was acceptable (χ

conclusionsThe presented CRA model offers a novel public platform with the potential to serve as an effective tool for the screening and management of deciduous caries at the community level in underdeveloped regions of Northwest China.

Indexed as

Dental CariesTooth, DeciduousChild, PreschoolChinaFemaleHumansLogistic ModelsMaleRisk AssessmentROC CurveCaries risk assessmentClinical prediction modelDeciduous cariesMachine learning

Identifiers

PMID40764955
PMCPMC12323012

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.