Czas niechirurgicznego leczenia endodontycznego z użyciem lub bez użycia lupy
Data analysis
The collected data was entered into a personal computer and analysed with the IBM SPSS Statistics 21.0 program. The Kolmogorov-Smirnov normality test was performed for normality testing. Natural logarithmic transformation was applied on the outcome variable (endodontic treatment time) if the data did not follow normal distribution. Two-sample t-tests were used to assess the difference in the transformed treatment time with the independent variables, which were the patients’ gender, study site, quadrant, tooth location, root of the endodontically treated tooth, tooth vitality, presence of apical radiolucency before treatment, sinus tract, preoperative pain, visit of the RCT, and the use of a magnifying loupe. Regressions were used to assess the relationship of the transformed treatment time with the patient’s age and the experience of the operator.
Analysis of covariance (ANCOVA) was used to study the independent variables, including the patients’ gender and age, study site, quadrant, tooth location, root of the RCT tooth, tooth vitality, presence of apical radiolucency before treatment, sinus tract, preoperative pain, visit of the RCT, the use of a magnifying loupe, and the experience of the operator. All of the independent variables were entered into the model. Backward stepwise procedures were performed until only variables demonstrating a statistically significant association remained in the final model. The level of statistical significance was set at 5%.
Results
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