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. 2024;85(1):20-24.
doi: 10.18043/001c.91420. Epub 2024 Jan 9.

Big Data for Geriatric Oncology Research

Emilie D Duchesneau  1 , Heidi D Klepin  2 , Amresh D Hanchate  3 , Meng-Yun Lin  3 , Shirley M Bluethmann  3
Affiliations

Big Data for Geriatric Oncology Research

Emilie D Duchesneau et al. N C Med J. 2024.

Abstract

Cancer is the second leading cause of death in North Carolina and approximately half of cancers are diagnosed in older adults (≥65 years). Cancer clinical trials in older adults are limited and there is a lack of evidence on optimal care strategies in this population. We highlight how big data can fill in gaps in geriatric oncology research.

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Conflict of interest statement

Conflicts of interest. The authors report no conflicts of interest.

Figures

Figure 1.
Figure 1.. Summary of Types of Big Data and Key Data Linkages for Geriatric Oncology Research
Abbreviations: ARIC=Atherosclerosis Risk in Communities; BLSA=Baltimore Longitudinal Study of Aging; CBCS=Carolina Breast Cancer Study; e-PROs=electronic patient-reported outcomes; HRS=Health and Retirement Study; m-Health: mobile health; MHOS=Medicare Health Outcomes Survey; NCCCR=North Carolina Central Cancer Registry; NCDB=National Cancer Database; NHATS=National Health and Aging Trends Study; NPCR=National Program of Cancer Registries; SEER=Surveillance, Epidemiology, and End Results; US=United States; WHI=Women’s Health Initiative.
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