A Data-Driven Approach Identifies Subtypes of Caries From Dental Charting.

ABSTRACT:

Objectives

The objectives were to: (i) assess the accuracy of dental data for adults obtained from the Swedish Quality Register on Caries and Periodontitis (SKaPa); (ii) explore whether Latent Class Analysis (LCA) can identify groups of people based on caries data; and (iii) characterise the dental, medical and behavioural characteristics of people in the LCA-derived classes.

Methods

Caries data from the SKaPa register were compared with clinical data collected by five experienced dentists in a nested subgroup of the Malmö Offspring Study (MOS), namely the Malmö Offspring Dental Study (MODS) (n = 724) for validation. Dental data from SKaPa were then used to classify 61 984 adult participants of the Västerbotten Intervention Programme (VIP) into five classes using LCA and DMF

SUBMITTER: Haworth S 

PROVIDER: S-EPMC11754153 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature