Individual tooth surfaces have vastly different susceptibilities to caries
and this susceptibility also varies over time, The aim of this study was to
develop a method of grouping tooth surfaces into a caries susceptibility c
lassification based on their survival experience. The data used in the stud
y were from a 3-year caries clinical trial. The definition of survival time
was taken to be the time from the start of the trial to when a surface is
recorded as decayed or filled. Cluster analysis was used to divide the toot
h surfaces into groups in such a way that surfaces in the same group have s
imilar survival time distributions. The 13 groups identified were ordered f
rom 1 to 13 starting with the group with the shortest survival time, i.e. t
he occlusal surfaces of the four first molars. Approximately 80% of symmetr
ical pairs of tooth surfaces were in the same group. The groups obtained us
ing cluster analysis were compared to groups defined using dental/anatomica
l criteria. It is concluded that the cluster analysis method developed for
grouping the tooth surfaces cn provide a useful descriptive measure of cari
es susceptibility which can be applied to data from any longitudinal study
of caries. Copyright (C) 2000 S. Karger AG, Basel.