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.