Big Data for Geriatric Oncology Research.

Humans Aged Big Data Medical Oncology North Carolina / epidemiology Neoplasms / therapy Geriatrics Biomedical Research

Journal

North Carolina medical journal
ISSN: 0029-2559
Titre abrégé: N C Med J
Pays: United States
ID NLM: 2984805R

Informations de publication

Date de publication:
2024
Historique:
pmc-release: 01 01 2025
medline: 3 10 2024
pubmed: 3 10 2024
entrez: 3 10 2024
Statut: ppublish

Résumé

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.

Identifiants

DOI: 10.18043/001c.91420 PMID: 39359617 PMC: PMC11444596
pubmed: 39359617
doi: 10.18043/001c.91420
pmc: PMC11444596
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20-24

Déclaration de conflit d'intérêts

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

Auteurs

Emilie D Duchesneau (ED)

Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Heidi D Klepin (HD)

Section on Hematology and Oncology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Amresh D Hanchate (AD)

Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Meng-Yun Lin (MY)

Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.

Shirley M Bluethmann (SM)

Department of Social Sciences and Health Policy, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina.

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Big Data for Geriatric Oncology Research.
questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Big Data for Geriatric Oncology Research.
questionsmedicales.fr › Sciences de l'information › Informatique › Informatique médicale › Applications de l'informatique médicale › Systèmes d'information › Mégadonnées › Big Data for Geriatric Oncology Research.
questionsmedicales.fr › Professions de santé › Médecine › Médecine interne › Oncologie médicale › Big Data for Geriatric Oncology Research.
questionsmedicales.fr › Régions géographiques › Amériques › Amérique du Nord › États-Unis › États du Sud-Est des États-Unis › Caroline du Nord › Big Data for Geriatric Oncology Research.
questionsmedicales.fr › Tumeurs › Big Data for Geriatric Oncology Research.
questionsmedicales.fr › Professions de santé › Médecine › Gériatrie › Big Data for Geriatric Oncology Research.
questionsmedicales.fr › Disciplines des sciences naturelles › Science › Recherche › Recherche biomédicale › Big Data for Geriatric Oncology Research.