Statistical analysis
The intervention cycle (IC) analysis comprised all intervention cycles, while the complete data (CD) analysis comprised only those intervention cycles for which complete data were collected. Statistical analysis was conducted using SPSS for Windows (Version 26). For qualitative (categorical) data, the outcome was expressed as number of cases and percentage, and differences between the two groups were analyzed using chi-squared test at a two-sided significance value of 0.05. Fisher’s exact test was used if the total number of cases was less than 40, or if a theoretical frequency was equal to 0, or if two theoretical frequencies were greater than or equal to 1 but less than 5.If the total number of cases was greater than 40, a theoretical frequency was greater than or equal to 1 but less than 5, P-value required continuity correction. For quantitative (numerical) variables, the Shapiro-Wilke test for a single sample was used to evaluate the normality of distribution. In the case of normally distributed data, Student’s t-test was performed to two independent samples, and the mean ± standard deviation was presented. The Mann-Whitney U-test was utilized to asymmetrical data presented as a median and interquartile range. A stratification analysis was performed when evaluating cumulative pregnancy rate and clinical pregnancy rate. A degree of significance of less than or equal to 0.05 was considered statistically significant. Figures were generated using GraphPad Prism 9 software.