In:
Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 31, No. 15_suppl ( 2013-05-20), p. e17573-e17573
Abstract:
e17573 Background: Insurance status affects cancer diagnosis and outcome in adults, but the impact has not been well studied in pediatric cancer. In children with retinoblastoma, time to diagnosis correlates with tumor invasiveness and patient survival, and therefore the disease can be a model to study the effect of demographic variables on delays in diagnosis. Methods: Our patient population consisted of all 203 patients from the United States enrolled on Children’s Oncology Group ARET0332, a study of patients with unilateral retinoblastoma requiring enucleation. All surgical specimens underwent central review by three pathologists to determine the presence of well-defined histopathologic features that correlate with a higher risk of disease progression. Data on insurance status, ethnicity, and race were collected for each patient. For variables not collected, including English proficiency, income, and educational attainment, analyses were conducted indirectly by matching patient zip code with census data for each variable. Results: On univariate analysis, a higher rate of high-risk pathologic findings was found in patients of Hispanic ethnicity (p=0.021) and non-white race (p=0.037), and in those with Medicaid or no insurance (p=0.035). On multivariate analysis, although no one variable correlated with high-risk features independently from the others, Hispanic ethnicity had the greatest impact on risk. Zip code-based analysis did not show significant differences in rates of high-risk findings based on English proficiency, income, or education. Conclusions: Hispanic ethnicity, non-white race, and Medicaid or no insurance all correlated with high-risk pathologic features in a large group of retinoblastoma patients who had central pathology review, and we believe these findings are due to delays in diagnosis for these groups. Future work should use direct methods to study the impact of other variables, including English proficiency, since indirect, zip code-based analysis may be inadequately powered to do so. Further effort should also focus on where in the diagnostic process delays exist, so that interventions can be designed to overcome barriers to care for these groups.
Type of Medium:
Online Resource
ISSN:
0732-183X
,
1527-7755
DOI:
10.1200/jco.2013.31.15_suppl.e17573
Language:
English
Publisher:
American Society of Clinical Oncology (ASCO)
Publication Date:
2013
detail.hit.zdb_id:
2005181-5
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