Applicability of Newer Regression Equations and Prediction Tables Among Various Populations for Mixed Dentition Analysis – A Systematic Review

Abstract

Introduction: Mixed dentition analysis is an important aspect of early orthodontic assessment, helping to determine arch-length tooth-size discrepancies and the space required for aligning canines and premolars. This information helps determine the most suitable treatment options for space management. The most commonly used mixed dentition analysis methods are Moyer’s and Tanaka-Johnston’s methods.

Objectives: This research aims to evaluate the applicability of mixed dentition analysis methods, along with newer regression equations and prediction tables that have been developed.

Methods: A computerized search was conducted involving articles published on PubMed and Scopus between 2013 and 2023. Inclusion criteria included all permanent teeth, except for second and third molars, which should be present and fully erupted in the mandibular arch. The dental casts had to be of high quality, and the sample size needed to be greater than or equal to 40.

Results: A computerized search was conducted involving articles published on PubMed and Scopus between 2013 and 2023. Inclusion criteria included all permanent teeth, except for second and third molars, which should be present and fully erupted in the mandibular arch. The dental casts had to be of high quality, and the sample size needed to be greater than or equal to 40.

Conclusions: Based on the available literature, both Moyers' and Tanaka-Johnston’s mixed dentition analyses must be used with caution, as the majority of the analyzed articles indicate that these methods are not as accurate as expected, necessitating the adaptation of probability levels depending on the population.