Literature DB >> 22051482

Development of a prediction equation for the mixed dentition in a Pakistani sample.

Aneel K Bherwani1, Mubassar Fida.   

Abstract

INTRODUCTION: Regression equations are widely used for mixed dentition analysis. However, estimations from these equations can vary in different population groups. The aim of this study was to produce simple linear equations and tables for Pakistani children.
METHODS: Two hundred subjects of Pakistani descent who met our criteria (ages, 13-15 years; 100 boys, 100 girls) were selected from local schools. The mesiodistal widths of all mandibular permanent incisors, canines, and premolars were measured and analyzed by using paired t tests. The results were also compared with predicted values from the Moyers and the Tanaka and Johnston methods. Correlation and linear regression analyses were performed between the predicted and actual tooth sizes for Pakistani children, and standard regression equations were developed.
RESULTS: No significant differences were observed for measured canine and premolar antimeres and sex. Significant and high positive correlations were found between the mandibular incisors and the combined mesiodistal widths of the canines and premolars for the maxillary (r = 0.65; P <0.001) and mandibular (r = 0.59; P <0.001) segments.
CONCLUSIONS: The equations and charts commonly used for North American children (75th percentile) did not accurately predict for our sample. The regression equations and tables developed in this study can be used for orthodontic treatment planning for children in Pakistan.
Copyright © 2011 American Association of Orthodontists. Published by Mosby, Inc. All rights reserved.

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Year:  2011        PMID: 22051482     DOI: 10.1016/j.ajodo.2011.02.024

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  7 in total

1.  New regression equations for predicting human teeth sizes.

Authors:  Vanessa Paredes; Beatriz Tarazona; Natalia Zamora; Rosa Cibrian; Jose Luis Gandia
Journal:  Head Face Med       Date:  2015-03-25       Impact factor: 2.151

2.  A new proposed regression equation for mixed dentition analysis using the sum of permanent mandibular four incisors and first molar as a predictor of width of unerupted canine and premolars in a sample of North Indian population.

Authors:  Tripti Tikku; Rohit Khanna; Kiran Sachan; Akhil Agarwal; Kamna Srivastava; Pravesh Yadav
Journal:  J Orthod Sci       Date:  2013-10

3.  Validity of moyers mixed dentition analysis for Saudi population.

Authors:  Yousef H Al-Dlaigan; Nasser D Alqahtani; Khalid Almoammar; Thikriat Al-Jewair; Fahad Bin Salamah; Mohamme Alswilem; Sahar F Albarakati
Journal:  Pak J Med Sci       Date:  2015 Nov-Dec       Impact factor: 1.088

4.  Mixed dentition space analysis among Nepalese Brahmins/Chhetris.

Authors:  Rajesh Gyawali; Basanta Kumar Shrestha; Rajiv Yadav
Journal:  BMC Oral Health       Date:  2016-08-02       Impact factor: 2.757

5.  New regression equations for mixed dentition space analysis in Nepalese mongoloids.

Authors:  Jamal Giri; Prabhat Ranjan Pokharel; Rajesh Gyawali; Jigyasha Timsina; Kashmira Pokhrel
Journal:  BMC Oral Health       Date:  2018-12-13       Impact factor: 2.757

6.  New prediction equations for the estimation of maxillary mandibular canine and premolar widths from mandibular incisors and mandibular first permanent molar widths: A digital model study.

Authors:  Fazal Shahid; Mohammad Khursheed Alam; Mohd Fadhli Khamis
Journal:  Korean J Orthod       Date:  2016-05-20       Impact factor: 1.372

7.  Prediction of canine and premolar size using the widths of various permanent teeth combinations: A cross-sectional study.

Authors:  Kalasandhya Vanjari; Sivakumar Nuvvula; Rekhalakshmi Kamatham
Journal:  Contemp Clin Dent       Date:  2015-09
  7 in total

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