Dataset and R Scripts for the Network Meta-Analysis of Bulk-Fill versus Incremental Resin Composite Techniques in Posterior Class II Restorations

This dataset contains the complete data structure and analytical scripts used to perform a Network Meta-Analysis (NMA) comparing bulk-fill and incremental placement techniques for resin-based composite restorations in posterior teeth. The dataset includes the harmonized follow-up data extracted from eligible clinical studies and the R scripts developed to execute the statistical analysis, visualize treatment networks, assess consistency, and calculate ranking probabilities (P-scores).
The accompanying R code automates the generation of network meta-analyses for each follow-up period (6, 12, and 24 months) using the meta and netmeta packages in R. It provides the structure for:
Pairwise comparisons and network model construction.
Random-effects estimation (REML) for risk ratios of restoration failures.
Graphical outputs including network plots, forest plots, design-by-treatment inconsistency graphs, and node-splitting analyses.
Treatment ranking based on P-scores and league tables.
Aggregated P-score matrices summarizing comparative performance across follow-ups.