Background: Sociodemographic and clinical factors associated with diagnostic delays in pediatric, adolescent, and young adult cancers are poorly understood.
Methods: Using the Optum Labs Data Warehouse's de-identified claims data for commercial health plan enrollees, we identified children (0-14 years) and adolescents/young adults (AYAs) (15-39 years) diagnosed with one of 10 common cancers from 2001 to 2017, who were continuously enrolled for 6 months preceding diagnosis. Time to diagnosis was calculated as days between first medical encounter with possible cancer symptoms and cancer diagnosis date. Median times from first symptom to diagnosis were compared using Wilcoxon rank sum test. Multivariable unconditional logistic regression identified sociodemographic factors associated with longer time (>3 months) to cancer diagnosis (from symptom onset).
Results: Of 47,296 patients, 87% presented prior to diagnosis with symptoms. Patients with central nervous system (CNS) tumors were most likely to present with symptoms (93%), whereas patients with cervical cancer were least likely (70%). Symptoms varied by malignancy. Of patients with symptoms, thyroid (105 days [range: 50-154]) and cervical (104 days [range: 41-151]) cancer had the longest median time to diagnosis. Females and patients at either end of the age spectrum were more likely to experience diagnosis delays of more than 3 months.
Conclusion: In a commercially insured population, time to diagnosis varies by cancer type, age, and sex. Further work is needed to understand the patient, provider, and health system-level factors contributing to time from symptom onset to diagnosis, specifically in the very young children and the young adult patient population going forward.
Keywords: AYA oncology; delay in diagnosis; pediatric oncology.
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