Summary of Feasibility Of Identifying Factors Related to Alzheimer’s Disease and Related Dementia in Real-world Data, by Aokun Chen et al.
Feasibility of Identifying Factors Related to Alzheimer’s Disease and Related Dementia in Real-World Data
by Aokun Chen, Qian Li, Yu Huang, Yongqiu Li, Yu-neng Chuang, Xia Hu, Serena Guo, Yonghui Wu, Yi Guo, Jiang Bian
First submitted to arxiv on: 3 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Quantitative Methods (q-bio.QM); Applications (stat.AP)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents a comprehensive review of risk factors associated with Alzheimer’s disease (AD) and Alzheimer’s disease-related dementias (ADRD), aiming to identify high-risk populations and patients for prevention efforts. The study extracted 477 risk factors from 537 studies, categorizing them into 10 categories. An interactive knowledge map was constructed to disseminate the findings. While most risk factors are accessible through structured Electronic Health Records (EHRs), evaluating genomic risk factors remains a challenge due to poor documentation in EHRs and limited genetic testing practices. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary Alzheimer’s disease is a serious condition that affects millions of people worldwide. Researchers have identified many factors that can increase the risk of developing Alzheimer’s, but it’s hard to keep track of all this information. In this study, scientists reviewed hundreds of studies to find 477 different risk factors for Alzheimer’s. They organized these factors into 10 categories and created an interactive map to help doctors and researchers understand how they’re connected. Most of the risk factors can be found in medical records, but figuring out how genetics play a role is tricky because not many people get tested for Alzheimer’s. |