My father once told me when I was a child:“if you believe all what you read, do not read!” Later on, I realized that this's true, especially in the era of evidence based medicine. Recently, data fabrication has emerged as a nail in a coffin for clinical trials [1]. There is a natural tendency to assess the results of randomized clinical trials as either positive or negative according to whether the P value for the primary outcome measure is< 0.05 or> 0.05. However, such an interpretation is overly simplistic