What to add to nothing? Use and avoidance of continuity corrections in meta‐analysis of sparse data

Key Points

• This research aims to examine the effects of using continuity corrections in meta-analyses of sparse data.
• Conducted sensitivity analysis using various summary methods and continuity correction factors.
• Evaluated imbalances between study arm sizes to determine estimation impact.
• Spanning estimates varied significantly with and without continuity corrections.
• Sensitivity analysis highlights the importance of choosing appropriate methods for accurate results.