  A comprehensive view of factors associated with AD/ADRD will significantly
aid in studies to develop new treatments for AD/ADRD and identify high-risk
populations and patients for prevention efforts. In our study, we summarized
the risk factors for AD/ADRD by reviewing existing meta-analyses and review
articles on risk and preventive factors for AD/ADRD. In total, we extracted 477
risk factors in 10 categories from 537 studies. We constructed an interactive
knowledge map to disseminate our study results. Most of the risk factors are
accessible from structured Electronic Health Records (EHRs), and clinical
narratives show promise as information sources. However, evaluating genomic
risk factors using RWD remains a challenge, as genetic testing for AD/ADRD is
still not a common practice and is poorly documented in both structured and
unstructured EHRs. Considering the constantly evolving research on AD/ADRD risk
factors, literature mining via NLP methods offers a solution to automatically
update our knowledge map.
