Big Data for Geriatric Oncology Research.
Autor: | Duchesneau ED; Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina., Klepin HD; Section on Hematology and Oncology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina., Hanchate AD; Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina., Lin MY; Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina., Bluethmann SM; Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina. |
---|---|
Jazyk: | angličtina |
Zdroj: | North Carolina medical journal [N C Med J] 2024; Vol. 85 (1), pp. 20-24. Date of Electronic Publication: 2024 Jan 09. |
DOI: | 10.18043/001c.91420 |
Abstrakt: | 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. Competing Interests: Conflicts of interest. The authors report no conflicts of interest. |
Databáze: | MEDLINE |
Externí odkaz: |