Statistical analysis
REGRESSION
The statistical analysis was carried out using STATA, version 17.0 (Stata Corporation, TX, USA) and GraphPad Prism v9 (GraphPad Software, CA, USA). Continuous variables were presented as means ± standard deviation (SD) or medians ± interquartile range (IQR) and categorical variables were presented as frequencies (%) by treatment group. Normal distribution of continuous variables was assessed using the Shapiro–Wilk’s test. For the analysis of continuous variables either Mann–Whitney U test or t-test were used and for categorical variables Fisher exact test was applied. For the correlation analysis, we used Pearson correlation coefficient. To estimate correlation between method of glycaemic control and perinatal outcomes we performed binary logistic regression and presented results as odds ratio (OR) and 95% confidence interval (95% CI). We performed linear regression to analyse relationship between glucose concentration and continuous perinatal outcomes. All statistical tests applied were two-sided. A 