Evidence map›Paper›PMID 42015040›Full record

ArticleBMC geriatrics2026

A web-based self-assessment tool for root caries in older adults: development, validation, and transformation of the Root-caries Assessment Nomogram (RAN).

Zhuochen Liu, Guosong Wang, Tingjuan He, Shaoying Duan, Li Cheng, Lei Lei, He Cai, Tao Hu

Abstract readValidation Study
In one paragraph

Article in BMC geriatrics, 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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.

Zhuochen Liu *State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Guosong Wang *State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Tingjuan HeState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Shaoying DuanState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Li ChengState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Lei LeiState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China. leilei@scu.edu.cn.
He CaiState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China. caihe.dr@scu.edu.cn.
Tao HuState Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Frontier Innovation Center for Dental Medicine Plus, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.

Funding

the National Key Research and Development Program of China 2023YFC3605600the National Natural Science Foundation of China 72104162the Research and Development Program, West China Hospital of Stomatology, Sichuan University LCYJ-ZD-202301
6 · The paper itself

Abstract

objectiveRoot caries is a significant oral health concern among older adults, yet accessible self-assessment tools are lacking. This study aimed to identify factors associated with root caries experience and develop a web-based user-friendly tool for self-assessment.

methodsOral examination and questionnaire data from adults aged 65–74 were extracted from the Fourth National Oral Health Survey in Sichuan, China (n = 714). Factors associated with root caries experience were identified by using univariate/multivariate logistic regression models to build the Root-caries-assessment Nomogram (RAN). The model was internally validated via five-fold cross-validation and externally validated on a spatiotemporally distinct cohort from Jianyang, Sichuan in 2024 (n = 200). Based on the nomogram, a mobile-friendly online self-assessment tool was developed using web-based technologies.

resultsFive significant variables were included in the RAN model: annual per capita household income ≤ 10k CNY (OR 2.34, 95% CI 1.62–3.38), brushing teeth less than twice daily (1.79, 1.24–2.59), not using or being unsure about toothpaste during brushing (5.13, 2.89–9.61), self-rated oral health as average/poor (2.62, 1.81–3.82), and a low standardized Geriatric Oral Health Assessment Index score (1.45, 1.04–2.02). The model demonstrated good discrimination internally (AUC 0.73, 95% CI 0.69–0.76), which was preserved upon external validation (0.73, 0.66–0.80). An online self-assessment tool based on RAN enables older adults or caregivers to estimate the probability of root caries experience without professional clinical exams.

conclusionsThe RAN model supports accessible, community-based screening by enabling older adults and their caregivers to estimate their probability of experiencing root caries and seek timely professional evaluation, thereby helping to reduce disparities and improve the efficiency of preventive care.

Indexed as

InternetNomogramsRoot CariesSelf-AssessmentAgedChinaFemaleHumansMaleSurveys and QuestionnairesAgedEpidemiologyMobile healthNomogramOral health screeningRisk managementRoot cariesSelf-assessment

Identifiers

PMID42015040
PMCPMC13231740

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.