Childhood cancer in Argentina: Survival 2000-2007

Florencia Moreno, Moreno Florencia1, Veronica Dussel

  • 1Argentinean Oncopaediatric Registry, National Cancer Institute, Minister of Health, Buenos Aires City, Argentina.

Cancer Epidemiology
|May 23, 2015
PubMed

Insights

In Argentina, 62% of children diagnosed with cancer survived over three years, with survival rates varying by cancer type and region. Regional disparities in childhood cancer survival highlight socioeconomic factors influencing outcomes.

Area of Science:

  • Paediatric Oncology
  • Epidemiology
  • Public Health

Background:

  • Limited epidemiological data exists for childhood cancer in Latin America.
  • The Argentinean Oncopaediatric Registry (ROHA) has collected population-based data since 2000.
  • This study analyzes 3-year survival for childhood cancer in Argentina (2000-2007).

Purpose of the Study:

  • To describe the 3-year survival experience of children diagnosed with cancer in Argentina.
  • To analyze survival by major morphological subgroup, age, sex, and geographical region.
  • To identify factors influencing childhood cancer survival in Argentina.

Main Methods:

  • Utilized data from the Argentinean Oncopaediatric Registry (ROHA), covering 93% of national cases.
  • Estimated 3-year overall survival using Kaplan-Meier methods.
  • Employed univariate Cox models for subgroup survival comparisons.

Main Results:

  • A total of 10,181 new paediatric cancer cases were registered between 2000-2007.
  • Overall 3-year survival was 61.7%, with significant variations by cancer type (e.g., leukaemias 63.3%, brain neoplasms 46.3%).
  • Survival was associated with age and geographical region, with higher survival in the capital city compared to northern regions.

Conclusions:

  • Approximately 62% of children in Argentina survived at least 3 years post-cancer diagnosis.
  • Survival patterns by diagnosis, age, and sex were comparable to more developed countries.
  • Lower survival rates in northern regions correlate with higher poverty levels, indicating socioeconomic disparities.
Abstract

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