Are the lower incisors the best predictors for the unerupted canine and premolars sums? an analysis of a Peruvian sample.
The lower permanent incisor tooth width sum has been proposed as the best predictor for the tooth width sums of the unerupted canine and premolars (SPCP) for populations from different ethnic origins. Only two previous studies have refuted it. The purpose of the present study was to determine which sum or combination of sums of permanent tooth widths presented the best prediction capability for the SPCP in a Peruvian sample, to calculate a specific linear regression equation for this population, and to evaluate the clinical significance. A total of 150 children with complete permanent dentitions were selected. Fifty more children were used as a validation sample for the application of a multiple linear regression equation (MLRE). They did not present clinically visible dental caries or proximal restorations and no active or previous orthodontic treatment. Their dental casts were measured to 0.1 mm with a sliding caliper with a Vernier scale. Three-way analysis of variance, Pearson Correlation Test, Fisher Z values and a MLRE were used for the statistical analysis. The combination of the sums of permanent upper and lower central incisors and upper first molars was the best predictor for the SPCP in this sample. A MLRE was calculated including sex and arch as additional predictor variables. The MLRE determination coefficient was 60% with a standard error of 0.8 mm. This new MLRE underestimates (less than 1 mm discrepancy) the actual SPCP in only 7% of the cases on the basis of a validation sample.
Bernabé
Eduardo
E
Department of Social Dentistry, Universidad Peruana Cayetano Heredia, Lima, Peru.
Flores-Mir
Carlos
C
D000293:Adolescent; D000704:Analysis of Variance; D001641:Bicuspid / Q000033:anatomy & histology; D002648:Child; D003481:Cuspid / Q000033:anatomy & histology; D003818:Dentition, Mixed; D005260:Female; D005544:Forecasting; D006801:Humans; D007180:Incisor / Q000033:anatomy & histology*; D016014:Linear Models; D008297:Male; D008334:Mandible; D009811:Odontometry / Q000379:methods*; D010568:Peru; D015203:Reproducibility of Results; D018709:Statistics, Nonparametric; D014097:Tooth, Unerupted / Q000033:anatomy & histology*