2022
DOI: 10.1038/s41467-022-35157-w
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Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia

Abstract: Metformin, a diabetes drug with anti-aging cellular responses, has complex actions that may alter dementia onset. Mixed results are emerging from prior observational studies. To address this complexity, we deploy a causal inference approach accounting for the competing risk of death in emulated clinical trials using two distinct electronic health record systems. In intention-to-treat analyses, metformin use associates with lower hazard of all-cause mortality and lower cause-specific hazard of dementia onset, a… Show more

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Cited by 27 publications
(28 citation statements)
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“…Classification of ADRD was determined as previously described. 31 This approach involves using dementia-related International Classification of Diseases, Ninth Revision (ICD-9) (290.X, 294.X, 331.X, and 780.93.X) or International Statistical Classification of Diseases and Related Health Problems, Charlson Comorbidity Index score was computed using the R, version 4.2.1 comorbidity package (R Foundation for Statistical Computing) 33 and the Quan ICD-9 and ICD-10 weighting schemes. 34 The score was categorized as mild (0-2), moderate (3)(4), severe (Ն5), and missing.…”
Section: Adrd Designationmentioning
confidence: 99%
“…Classification of ADRD was determined as previously described. 31 This approach involves using dementia-related International Classification of Diseases, Ninth Revision (ICD-9) (290.X, 294.X, 331.X, and 780.93.X) or International Statistical Classification of Diseases and Related Health Problems, Charlson Comorbidity Index score was computed using the R, version 4.2.1 comorbidity package (R Foundation for Statistical Computing) 33 and the Quan ICD-9 and ICD-10 weighting schemes. 34 The score was categorized as mild (0-2), moderate (3)(4), severe (Ն5), and missing.…”
Section: Adrd Designationmentioning
confidence: 99%
“…The relative contribution of each of the above mechanisms to metformin’s antiaging activities likely varies with different experimental models (e.g., cultured cells, mice, or C. elegans ). Nevertheless, substantial evidence supports metformin as an effective antiaging drug in mammals [ 65 ] and potentially in humans as well [ 66 , 67 ]. Notably, through cytokine profiling and bioinformatic analyses of CD4 + T cells from older (60 years of age) and younger (30 years of age) people, a recent study by Bharath et al showed that metformin enhances autophagy and normalizes mitochondrial function to alleviate aging-associated inflammation [ 68 ].…”
Section: Novel Molecular Targets Involved In Other Biological Activitiesmentioning
confidence: 99%
“…Constrain methods using a general multi-domain causal structure [23][24][25] Treatment effects Learn models that respect identification assumptions [26][27][28][29][30][31][32][33][34][35][36][37][38][39] Drug repurposing Relate multi-modal data using causal structure [40][41][42][43][44] Recommendation Infer causal effect of recommendation [45][46][47][48][49] Table 1: Real-world impact. We list exemplary real-world applications of CDL.…”
Section: Generalisationmentioning
confidence: 99%
“…At the intersection of generalisation and treatment effects is drug repurposing, an incredibly exciting area for CDL to have impact [43,44]. With applications in COVID-19 [40] and dementia [41,42], CDL is already proving to be a useful framework. However, as pointed out in table 3, these highstakes application domains are a clear example of why we require a careful analysis of the made assumptions.…”
Section: Real-world Applicationsmentioning
confidence: 99%