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Disparities in pediatric leukemia early survival in Argentina: a population-based study

Gilda Garibotti1, Florencia Moreno2, Veronica Dussel3

  • 1Centro Regional Universitario Bariloche, Universidad Nacional del Comahue, , garibottig@comahue-conicet.gob.ar.

Revista Panamericana De Salud Publica = Pan American Journal of Public Health
|January 8, 2015
PubMed

Insights

Childhood leukemia survival in Argentina shows significant disparities. Socioeconomic factors and patient migration patterns critically impact outcomes, highlighting vulnerable populations needing targeted interventions.

Area of Science:

  • Pediatric Oncology
  • Health Disparities Research
  • Biostatistics

Background:

  • Leukemia is a leading cause of childhood cancer globally.
  • Understanding survival disparities is crucial for improving pediatric cancer care.
  • Argentina's diverse socioeconomic landscape may influence leukemia outcomes.

Purpose of the Study:

  • To identify disparities in early survival for children with leukemia in Argentina.
  • To characterize vulnerable pediatric leukemia patient groups using recursive partitioning (RP).

Main Methods:

  • Secondary analysis of 3,987 children diagnosed with lymphoid leukemia (LL) or myeloid leukemia (ML) between 2000-2008.
  • Utilized recursive partitioning (RP) to identify prognostic groups based on age, gender, socioeconomic index, and inter-provincial migration.
  • Evaluated 12-month survival (12-ms) as the primary outcome.

Main Results:

  • Overall 12-ms was 83.7% for LL and 59.9% for ML.
  • RP identified significant survival gaps linked to socioeconomic status and migration.
  • For LL patients (1-10 years) from poorer provinces, 12-ms was 78.2% (non-migrant) vs. 87.0% (migrant).
  • For ML patients (<2 years), 12-ms was 38.9% (low/medium socioeconomic index) vs. 62.1% (richer provinces).
  • ML patients (2-14 years) migrating from poor provinces had a 30% increased 12-ms.

Conclusions:

  • Substantial disparities exist in childhood leukemia survival in Argentina.
  • Socioeconomic index and patient migration are key factors associated with survival outcomes.
  • Recursive partitioning effectively identified and characterized vulnerable pediatric leukemia patient groups.
Abstract

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