Fig. 5From: Artificial intelligence framework identifies candidate targets for drug repurposing in Alzheimer’s diseaseLongitudinal analyses reveal that pioglitazone reduces incidence of Alzheimer’s disease in patient data. Six comparison analyses were conducted including (i) pioglitazone (n = 101,650) vs. matched control population (n = 402,184); (ii) pioglitazone vs. glipizide (a diabetes drug, n = 191,656); (iii) febuxostat (n = 24,218) vs. control (n = 95,192); (iv) atenolol (n = 366,277) vs. control (n = 1,449,815); (v) nadolol (n = 19,253) vs. control (n = 76,136); and (vi) sotalol (n = 43,819) vs. control (n = 172,375). First, for each comparison, we estimated the propensity score by using the variables described in Table 2. Then, we estimated the unstratified Kaplan-Meier curves, conducted propensity score stratified (n strata = 10) log-rank test and Cox model. Using propensity score stratified survival analyses, non-exposures were matched to the exposures (ratio 4:1) by adjusting the initiation time of drug, enrollment history, age and gender, and disease comorbidities (hypertension, type 2 diabetes and coronary artery disease)Back to article page