Racial/ethnic and Socioeconomic Disparities in Childhood Cancer Incidence Trends in the United States, 2000-2019

Menée à partir de données 2000-2019 des registres américains des cancers, cette étude analyse les disparités ethniques et socioéconomiques dans l'évolution de l'incidence des cancers pédiatriques (âge au diagnostic : 0-19 ans)

Journal of the National Cancer Institute, sous presse, 2023, résumé

Résumé en anglais

Population-based surveillance of pediatric cancer incidence trends is critical to determine high-risk populations, drive hypothesis generation, and uncover etiologic heterogeneity. We provide a comprehensive update to the current understanding of pediatric cancer incidence trends by sex, race/ethnicity, and socioeconomic status (SES).The Surveillance, Epidemiology, and End Results 22 data (2000-2019) was used to summarize age-adjusted incidence rates for children and adolescents aged 0 -19 years at diagnosis. Annual percentage changes (APCs) and 95% confidence intervals (95% CIs) were estimated to evaluate incidence trends by sex, race/ethnicity, and SES overall and for cancer subtypes. Tests of statistical significance were two-sided.Substantial variation was observed overall and for several histologic types in race/ethnicity- and SES-specific rates. Overall, we observed a significant increase in incidence rates (APC = 0.8, 95% CI = 0.6 to 1.1). All race/ethnic groups saw an increase in incidence rates, with the largest occurring among non-Hispanic American Indian/Alaska Native children and adolescents (APC = 1.7, 95% CI = 0.5 to 2.8), and the smallest increase occurring among non-Hispanic White children and adolescents (APC = 0.7, 95% CI = 0.5 to 1.0). The lowest SES quintiles saw significant increasing trends, while those in the highest quintile remained relatively stable (Q1 APC = 1.6, 95% CI = 0.6 to 2.6; Q5 APC = 0.3, 95% CI = -0.1 to 0.7).Childhood cancer incidence is increasing overall and among every race and ethnic group. Variation by race/ethnicity and SES may enable hypothesis generation on drivers of disparities observed.