2.6. Data Synthesis and Analysis
We analyzed the following characteristics in this study: number of patients, study design, evidence level, quality of study, inclusion and exclusion criteria, and outcomes used for the evaluation of the surgery/treatment effectiveness. The demographic and clinical outcome data were presented in the form of mean±standard deviation. Thus, we collected and calculated the number of various rates from studies, such as cure rate (defined as no papilloma for five years based on the previous study33), and gained the overall rare of KTP/ CO2 laser therapy for LP to compare their therapeutic effects. The P-value for a continuous variable was calculated using a t-test, and the Fisher exact test was conducted for the categorical variable. P-value<0.05 was considered statistically significant in this study. To further assess the robustness of the complete results of the primary outcome, the sample size was calculated based on the cure rate at the final follow-up. By conducting a two-tail t-test of 80% power (1 – b) and a 0.05 level of significance using G power software, an estimated sample size of 58 patients per group was required. When a published work lacked sufficient details, we attempted to contact the authors of those research to acquire the necessary information.