Impact of Socioeconomic Status and Ethnicity on Melanoma Presentation and Recurrence in Caucasian Patients

Christine Salvaggio, Sung Won Han, Kathryn Martires, Eric Robinson, Reshmi Madankumar, Priyanka Gumaste, David Polsky, Jennifer Stein, Russell Berman, Richard Shapiro, Judy Zhong, Iman Osman

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Objectives: The impact of ethnicity and the socioeconomic status (SES) among Caucasians is not well studied. Here, we examine the impact of income on melanoma presentation and prognosis within a Caucasian cohort, accounting for ethnicity, as some reports suggest increased melanoma incidence in Ashkenazi Jewish (AJ) BRCA mutation carriers. Methods: We studied prospectively enrolled primary melanoma patients at New York University. SES data were estimated using United States' Census Bureau data and patient zip codes. We evaluated associations between ethnicity, SES, and baseline characteristics using the χ2 test and multivariate logistic regression. We compared survival distributions using Kaplan-Meier curves, log-rank tests, and Cox proportional hazard ratios. Results: Of the 1,339 enrolled patients, AJ represented 32% (n = 423). Apart from AJ being older at presentation (p < 0.001), no significant differences were observed in baseline characteristics between ethnic groups. Patients with a median household income (MHI) lower than the median of the cohort were significantly more likely to present with advanced stages (p < 0.001) compared to patients with a higher MHI. Shorter overall (p = 0.016) and post-recurrence survival (p = 0.042) was also observed in patients from lower-income households. Conclusion: Data suggest that disparities in melanoma presentation in Caucasians stratify according to income independent of ethnic background.

Original languageEnglish
Pages (from-to)79-87
Number of pages9
JournalOncology
Volume90
Issue number2
DOIs
StatePublished - 1 Feb 2016
Externally publishedYes

Keywords

  • Education
  • Ethnicity
  • Health disparity
  • Income
  • Melanoma
  • Population groups
  • Socioeconomic factors

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