RESUMO
Delays in diagnosis and time to diagnosis generally are used interchangeably in cancer disparity research, but these terms may have important differences. Although these terms are related, we hypothesize that time to diagnosis is determined by the aggressiveness of the tumor based on intrinsic factors such as tumor biology, whereas delays in diagnosis are caused by extrinsic factors such as socioeconomic status, leading to presentation at higher stage of disease due to barriers of care. We conducted a retrospective study of 306 patients diagnosed with Wilms tumor at Children's Hospital Colorado between 1971 and 2016 identifying patient barriers as extrinsic markers and using unfavorable histology and loss of heterozygosity as markers of aggressive tumor biology. Multivariable logistic regression was performed. Patients with Medicaid were more likely to present greater than 4 days after initial symptoms compared to those with private insurance, and those with housing concerns were more likely to be diagnosed greater than 9 days from initial symptoms. Tumor biology was noted to be associated with higher stage at diagnosis, but patient barriers were not. These findings suggest the interplay between tumor biology, patient barriers, diagnostic timing, and stage at diagnosis is more complex, multifactorial, and in need of further study.
Assuntos
Neoplasias Renais , Tumor de Wilms , Criança , Estados Unidos , Humanos , Estudos Retrospectivos , Determinantes Sociais da Saúde , Tumor de Wilms/diagnóstico , Neoplasias Renais/diagnóstico , BiologiaRESUMO
Purpose: A medical record-level cohort study to investigate demographic and socioeconomic factors influencing treatment, timing of care, and survival outcomes in pediatric patients diagnosed with central nervous system (CNS) tumors. Methods: Using electronic health records of patients at Children's Hospital Colorado from 1986-2020, we identified 898 patients treated for CNS tumors. The primary outcomes of interest were 5-year survival, timing of diagnosis, and treatment. Multivariable logistic regression and Cox regression were used to identify covariates associated with our outcomes of interest. Results: We found that age, race, tumor type, diagnosis year, and social concerns influenced receipt and timing of treatment. Age, race, patient rural vs. urban residence, and tumor impacted survival outcomes. Time to presentation and treatment were significantly different between White and minority patients. American Indian/Alaska Native and Black patients were less likely to receive chemo compared to White patients (OR 0.28, 0.93 p = 0.037, < 0.001). Patients with 3 + social concerns were more likely to survive after 5 years than children with no or unknown social concerns (OR 1.84, p = 0.011). However, with an adjusted hazards ratio, children with 2 social concerns were less likely to survive to 5 years than children with no or unknown concerns (OR 0.58, p = 0.066). Conclusions: Demographic and socioeconomic factors influence timing of care and survival outcomes in pediatric patients with CNS tumors. Minority status, age, social factors, rural, and urban patients experience differences in care. This emphasizes the importance of considering these factors and addressing disparities to achieve equitable care.