“…If the raw data were not presented, then an F ratio for the main effect over time was used for conversion into r instead. If no relevant convertible statistics were presented, other than a p value, we calculated the t statistic from the Quality score (range 0-4): R, recruitment; E, explanatory variable ascertainment; O, outcome variable ascertainment (all of the outcomes were recorded from medical record); C, controlled covariates, including age, sex, smoking, alcohol, BMI or physical activity, and SES (if all of these covariates were controlled, the study got one point) DM, diabetes mellitus p value and an r-sub (equivalent) [22]. When a paper reported p<0.05, p<0.10 or NS, we computed r-sub (equivalent) with p values of 0.025, 0.050, 0.50 (one-tailed), respectively, which likely yielded a highly conservative estimate of the effect size.…”