Childhood cancer: Estimating regional and global incidence

W T Johnston1, Friederike Erdmann2, Robert Newton3

  • 1Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, United Kingdom.

Cancer Epidemiology
|January 12, 2020
PubMed

Insights

Estimating childhood cancer incidence globally is challenging due to limited data. A new Baseline Model (BM) provides updated childhood cancer burden estimates, particularly in regions with weak health systems.

Area of Science:

  • Global Health
  • Epidemiology
  • Pediatric Oncology

Background:

  • Limited cancer surveillance and vital registration systems worldwide hinder accurate global cancer burden estimation.
  • Childhood cancer quantification is particularly challenging due to rarity and non-specific symptoms mimicking common childhood illnesses.
  • Accurate global childhood cancer incidence data is crucial for resource allocation and targeted interventions.

Purpose of the Study:

  • To develop and apply a Baseline Model (BM) for estimating global and regional childhood cancer incidence in 2015.
  • To compare BM estimates with existing global cancer burden models like GLOBOCAN, IICC-3, and GCC.
  • To identify factors influencing discrepancies in childhood cancer estimates across different regions and Human Development Index (HDI) levels.

Main Methods:

  • Constructed a Baseline Model (BM) using US SEER data for sex- and age-specific cancer rates (ICCC-3 diagnostic groups).
  • Applied BM rates to global 2015 population data, incorporating risk factors for Burkitt lymphoma and Kaposi sarcoma.
  • Compared BM results with GLOBOCAN 2018, IICC-3 extrapolations, and the GCC model.

Main Results:

  • The BM estimated 360,114 childhood cancers globally in 2015, with 54% in Asia and 28% in Africa.
  • Estimated standardized rates varied by region, with higher rates in Africa compared to Europe and North America.
  • Discrepancies between models were noted, particularly in countries with lower Human Development Index (HDI) and limited registration coverage.

Conclusions:

  • Disagreements in childhood cancer estimates highlight challenges in regions with inadequate health systems for diagnosis and care.
  • The BM's ability to incorporate etiological evidence allows for better estimation of specific cancer burdens, like Burkitt lymphoma and Kaposi sarcoma.
  • Further refinement of the BM with additional etiological data can improve global childhood cancer burden assessments.
Abstract

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