Global childhood cancer survival estimates and priority-setting: a simulation-based analysis

Area of Science:

• Global Health
• Pediatric Oncology
• Epidemiology

Background:

• Accurate childhood cancer survival estimates are vital for global health policy and clinical decision-making.
• Significant regional variations in childhood cancer survival necessitate understanding underlying barriers.
• Estimating global survival and identifying factors influencing outcomes is crucial for improving pediatric cancer care.

Purpose of the Study:

• To estimate global childhood cancer survival rates.
• To account for clinical and epidemiologic factors impacting survival.
• To model the potential impact of policy interventions on improving survival outcomes.

Main Methods:

• Developed a microsimulation model for 200 countries, incorporating clinical and treatment variables.
• Calibrated the model using CONCORD-2 and CONCORD-3 study data via Approximate Bayesian Computation.
• Estimated 5-year net survival and simulated gains from seven policy interventions.

Main Results:

• Global 5-year net childhood cancer survival is estimated at 37.4%, with survival rates varying widely by region (e.g., 8.1% in Eastern Africa to 83.0% in North America).
• Individual policy interventions showed modest survival gains, while bundled interventions significantly improved outcomes.
• A comprehensive systems approach with full implementation of interventions could achieve 80.8% 5-year net survival.

Conclusions:

• Childhood cancer survival is highly variable globally, with particularly low rates in Africa.
• Improving access to treatment (chemotherapy, radiation, surgery) and addressing financial toxicity are critical.
• Investments in quality of care at health-system and facility levels are essential for enhancing global childhood cancer outcomes.