nominally significantp -value < 0.05
We performed a test for excess significance to evaluate whether the number of studies reporting nominally significant results ( p -value < 0.05) is greater compared to their expected number [ 24 , 25 ].
We performed a test for excess significance to evaluate whether the number of studies reporting nominally significant results ( p -value < 0.05) is greater compared to their expected number [ 24 , 25 ].
Effect sizes of meta-analyses showed a trend toward the null value as the inverse variance of the summary estimate increased, and, among included meta-analyses, the effect sizes of the largest studies were similar to the random effects summary estimates ( Figure 2 ).
However, the mortality benefit of warfarin in dialysis patients did not reach statistical significance in a meta-analysis of OSs [ 49 ].