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

Many routinely used summary methods provide widely ranging estimates when applied to sparse data with high imbalance between the size of the studies' arms. A sensitivity analysis using several methods and continuity correction factors is advocated for routine practice.