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Recommendations for cancer epidemiologic research in understudied populations and implications for future needs

  • Damali N. Martin
  • , Tram Kim Lam
  • , Katy Brignole
  • , Kimlin T. Ashing
  • , William J. Blot
  • , Linda Burhansstipanov
  • , Jarvis T. Chen
  • , Mark Dignan
  • , Scarlett Lin Gomez
  • , Maria Elena Martinez
  • , Alicia Matthews
  • , Julie R. Palmer
  • , Eliseo J. Perez-Stable
  • , Mario Schootman
  • , Hugo Vilchis
  • , Alexander Vu
  • , Shobha Srinivasan

Producción científica: Articlerevisión exhaustiva

36 Citas (Scopus)

Resumen

Medically underserved populations in the United States continue to experience higher cancer burdens of incidence, mortality, and other cancer-related outcomes. It is imperative to understand how health inequities experienced by diverse population groups may contribute to our increasing unequal cancer burdens and disparate outcomes. The National Cancer Institute convened a diverse group of scientists to discuss research challenges and opportunities for cancer epidemiology in medically underserved and understudied populations. This report summarizes salient issues and discusses five recommendations from the group, including the next steps required to better examine and address cancer burden in the United States among our rapidly increasing diverse and understudied populations.

Idioma originalEnglish
Páginas (desde-hasta)573-580
Número de páginas8
PublicaciónCancer Epidemiology Biomarkers and Prevention
Volumen25
N.º4
DOI
EstadoPublished - abr 2016

Nota bibliográfica

Publisher Copyright:
© 2016 American Association for Cancer Research.

Financiación

FinanciadoresNúmero del financiador
National Childhood Cancer Registry – National Cancer InstituteR01CA092447
National Childhood Cancer Registry – National Cancer Institute

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Good health and well being
      Good health and well being

    ASJC Scopus subject areas

    • General Medicine

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