Harding KA, et al. - Researchers conducted this meta-analysis to investigate to what extent depression prevalence rates in adults with T2D were correlated with the degree of overlap in depression and diabetes symptoms, the proportion of different dimensions of depression symptoms in each depression measure, and sample characteristics. One hundred forty-seven eligible papers were identified by electronic and hand searching published and unpublished works. Of the 3,656 screened, 147 studies were selected using 24 validated depression questionnaires (149 samples, N = 17–229,047, mean sample age 25.4–82.8 years, with 152 prevalence estimates). Data reported that prevalence rates ranged from 1.8% to 88% and were higher in younger samples, samples with higher mean HbA_1c and clinic samples. According to findings, the lack of overall effect of diabetes–depression symptom overlap may suggest that T2D depression assessment is generally not confounded by symptoms that co-occur. However, questionnaires with proportionally more or less items measuring other categories of symptoms have been associated with higher estimates of the prevalence of depression. Measures of depression focusing on the cardinal symptoms of depression (eg, negative affect and cognition), limiting symptoms linked to increasing diabetes symptomatology (eg, sleep disturbance, cognitive) may most precisely diagnose depression.