Evidence map›Paper›PMID 41243735›Full record

ArticleCommunity dentistry and oral epidemiology2026

Estimating Caries Risk in Unsealed-Permanent Molars Among Young Adults With Data From Repeated National Surveys and a Markov Model.

Susan O Griffin, Mei Lin, Shillpa Naavaal, Liang Wei, Christina R Scherrer

Abstract read
In one paragraph

Article in Community dentistry and oral epidemiology, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Susan O GriffinDivision of Oral Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0003-0016-6556
Mei LinDivision of Oral Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0002-1716-7849
Shillpa NaavaalDepartment of Pediatric Dentistry and Department of Dental Public Health and Policy, School of Dentistry, Virginia Commonwealth University, Richmond, Virginia, USA.ORCID 0000-0001-5586-5843
Liang WeiDB Consulting Group Inc, Atlanta, Georgia, USA.ORCID 0009-0008-0816-8146
Christina R ScherrerDepartment of Industrial and Systems Engineering, Kennesaw State University, Marietta, Georgia, USA.ORCID 0009-0007-9671-628X

Funding

The role of comprehensive adult Medicaid dental benefit in improving oral health and reducing disparities among adults and childrenK08DE032443 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI NAAVAAL, SHILLPA · 2023 to 2025
$811k
Reducing dental caries and oral health disparities among adolescents: The impact of increasing 2nd molar sealants through school-based sealant programsR21DE032149 · NIDCR · KENNESAW STATE UNIVERSITY · PI NAAVAAL, SHILLPA, SCHERRER, CHRISTINA · 2022 to 2023
$408k
NIDCR NIH HHS K08 DE032443NIDCR NIH HHS R21 DE032149NIH HHS K08DE032443NIH HHS R21DE032149
6 · The paper itself

Abstract

objectiveDemonstrate and evaluate methodology to estimate annual probability a sound-unsealed molar develops caries (AP) among US adults, aged 21 and 25 years.

methodsA synthetic birth cohort was created with National Health and Nutrition Examination Survey data from 2001 to 2004 and 2011 to 2014. The synthetic birth cohort was born between 1982 and 1989 and was aged 15 to 19 years in 2001-2004 and 25 to 29 in 2011-2014. Caries increment (difference in per-person decayed, missing and filled molars (DMF) between adolescence and young adulthood) obtained from the synthetic birth cohort was used to estimate AP not adjusted for the presence of sealants. Adjusted estimates were obtained by inputting information on sound-sealed, sound-unsealed and DMF molars among adolescents and DMF among young adults from the synthetic cohort and sealant retention from the literature into a Markov model. AP was estimated by solving for the AP that yielded the DMF for the synthetic cohort in young adults. To evaluate Markov-model performance, longitudinal data from five caries effectiveness trials were used to estimate true AP and adjusted AP. One-way sensitivity analyses of model parameters were also conducted.

resultsThe adjusted AP (0.038) was notably higher than the unadjusted AP (0.031). The average and median percentage deviation of adjusted APs relative to their true values were, respectively, 10.1% and 7.1%. The most influential model parameters were DMF in adulthood and annual retention.

conclusionThis methodology provides reasonable estimates of AP that can be used in cost-effective analyses of providing sealants to young adults.

Indexed as

Dental CariesMolarAdolescentAdultCohort StudiesDMF IndexFemaleHumansMaleMarkov ChainsNutrition SurveysPit and Fissure SealantsRisk AssessmentUnited StatesYoung AdultPit and Fissure Sealantscomputer assistedcomputer simulationdental carieshealth inequitiesincidenceminority healthnumeric analysis

Identifiers

PMID41243735
PMCPMC12704468

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