The impact of correction methods on rare-event meta-analysis.

Meta-analyses have become the gold standard for synthesizing evidence from multiple clinical trials, and they are especially useful when outcomes are rare or adverse since individual trials often lack sufficient power to detect a treatment effect. However, when zero events are observed in one or both treatment arms in a trial, commonly used meta-analysis methods can perform poorly. Continuity corrections (CCs), and numerical adjustments to the data to make computations feasible, have been proposed to ameliorate this issue.

Association between Infection and Type-1 Diabetes Mellitus: A Systematic Review and Meta-Analysis.

Type-1 diabetes, an autoimmune disease characterized by damage to pancreatic insulin-producing beta cells, is associated with adverse renal, retinal, cardiovascular, and cognitive outcomes, possibly including dementia. Moreover, the protozoal parasite has been associated with type-1 diabetes. To better characterize the association between type-1 diabetes and infection, we conducted a systematic review and meta-analysis of published studies that evaluated the relationship between type-1 diabetes and infection.

Association between and systemic lupus erythematosus: A systematic review and meta-analysis.

Infecting approximately one-third of the world's population, the intraneuronal parasite has been associated with several autoimmune diseases. While may be protective against multiple sclerosis, other findings have negatively associated with different autoimmune diseases, including systemic lupus erythematosus. To further characterize the association between and systemic lupus erythematosus, we completed a systematic review and meta-analysis of published studies looking at the association between and systemic lupus erythematosus.

A permutation-based approach for heterogeneous meta-analyses of rare events.

The increasingly widespread use of meta-analysis has led to growing interest in meta-analytic methods for rare events and sparse data. Conventional approaches tend to perform very poorly in such settings. Recent work in this area has provided options for sparse data, but these are still often hampered when heterogeneity across the available studies differs based on treatment group.

A comparison of confidence distribution approaches for rare event meta-analysis.

Meta-analysis of rare event data has recently received increasing attention due to the challenging issues rare events pose to traditional meta-analytic methods. One specific way to combine information and analyze rare event meta-analysis data utilizes confidence distributions (CDs). While several CD methods exist, no comparisons have been made to determine which method is best suited for homogeneous or heterogeneous meta-analyses with rare events.