Related Experiment Video
Updated: Feb 13, 2026

Utilizing the Modified T-Maze to Assess Functional Memory Outcomes After Cardiac Arrest
Published on: January 5, 2018
Dentoalveolar Cleft Treatment Outcome Using Modified Huddart-Bodenham Index and Regression Analysis of Associated
Anas Imran Arshad1,2, Mohammad Khursheed Alam3, Mohammad Fadhli Khamis4
11 School of Dental Sciences, Universiti Sains Malaysia, Kelantan, Kubang Kerian, Malaysia.
Objectives:
The aim of this study is to assess the treatment outcome of complete unilateral cleft lip and palate (CUCLP) patients using modified Huddart/Bodenham scoring system (MHB). To determine whether there is an association of congenital and postnatal factors with the treatment outcome.
Design:
Retrospective observational study.
Setting:
Two regional cleft-referral centers.
Main Outcome Measures:
In the current study, 101 pairs of dental models of non-syndromic CUCLP patients were retrieved from hospital archives. Each occlusal relationship from central incisor till the first permanent molars were scored except the lateral incisor. Sum of 10 occlusal relationships in each study sample gave a total occlusion score. The primary outcome was the mean total occlusion score.
Results:
According to MHB, a mean (standard deviation) total occlusion score of -8.92 (6.89) was determined. Based on treatment outcome, 66 cases were favorable (grades 1, 2, and 3) and 35 cases were unfavorable (grades 4 and 5). Chi-square tests indicated, difference of cheiloplasty ( P = .001) and palatoplasty ( P < .001) statistically significant. Five variables-gender, family history of cleft, cleft side, cheiloplasty, and palatoplasty-were analyzed with a logistic regression model.
Conclusions:
Final model indicated that cases treated with modified Millard technique (cheiloplasty) and Veau-Wardill-Kilner method (palatoplasty) had higher odds of unfavorable treatment outcome.
Related Concept Videos
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Regression Toward the Mean
Microsoft Excel: Regression Analysis
To perform regression...
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Correlation and Regression
Modified-Release Drug Delivery Systems: Influencing Factors

