Division of Plastic Surgery, Mayo Clinic, Jacksonville, FL, U.S.A.
Department of Surgery, Mayo Clinic, Jacksonville, FL, U.S.A.
Anticancer Res. 2021 Apr;41(4):2067-2070. doi: 10.21873/anticanres.14976.
BACKGROUND/AIM: Melanoma incidence has increased in the United States over the past few decades, and disparities in patient treatment have been described. Although most patients with melanoma are good candidates for curative treatment, some are considered poor candidates for treatment because of comorbid conditions. We examined whether patient demographics influence treatment contraindication in melanoma.
The National Cancer Database (NCDB) was used to identify patients with melanoma from 2004 through 2015. Multivariate logistic regression was used to determine independent associations, adjusted for confounders. We excluded patients who did not receive treatment for reasons and patients with unknown treatment status.
A total of 499,092 patients met the inclusion criteria. Of these, 525 (0.1%) had Treatment contraindicated because of comorbid conditions (TCBC) and 498,567 (99.9%) received treatment. Multivariate logistic regression showed higher odds of TCBC in patients with government insurance (OR=1.34, 95%CI=03-1.73; p=0.03) and patients without insurance (OR=2.75, 95%CI=1.76-4.29; p<0.001) than patients with private insurance.
Demographic disparities affects treatment decision in oncological patients. Our study demonstrated a significantly higher likelihood of "nontreatment because of comorbid conditions" among melanoma patients with government insurance or without insurance. Greater efforts are needed to address inequalities in melanoma treatment in the United States.
背景/目的:过去几十年来,美国的黑色素瘤发病率有所增加,并且已经描述了患者治疗方面的差异。尽管大多数黑色素瘤患者是治愈治疗的良好候选者,但由于合并症,有些患者被认为不适合治疗。我们研究了患者人口统计学特征是否会影响黑色素瘤的治疗禁忌。
使用国家癌症数据库(NCDB)从 2004 年至 2015 年确定黑色素瘤患者。多变量逻辑回归用于确定独立关联,并针对混杂因素进行了调整。我们排除了因治疗原因而未接受治疗的患者和治疗情况未知的患者。
共有 499,092 名患者符合纳入标准。其中,525 名(0.1%)因合并症而存在治疗禁忌(TCBC),498,567 名(99.9%)接受了治疗。多变量逻辑回归显示,具有政府保险的患者(OR=1.34,95%CI=0.3-1.73;p=0.03)和没有保险的患者(OR=2.75,95%CI=1.76-4.29;p<0.001)比具有私人保险的患者更有可能出现 TCBC。
人口统计学差异会影响肿瘤患者的治疗决策。我们的研究表明,具有政府保险或没有保险的黑色素瘤患者“因合并症而不进行治疗”的可能性明显更高。需要做出更大的努力来解决美国黑色素瘤治疗中的不平等问题。