Skin Cancer Unit, INSERM, Nantes University Hospital, Nantes Cedex, France.
Eur J Cancer Prev. 2011 May;20(3):217-24. doi: 10.1097/CEJ.0b013e32834474ae.
Melanoma is one of the fastest growing cancers worldwide. We need to have tools to identify patients with high risk of melanoma. We carried out a case-control study and tested three methods to develop an individual score of melanoma risk, usable in routine practice. All cases included newly diagnosed invasive cutaneous melanoma of stage I or II (6th American Joint Committee on Cancer) seen in 2007 at the Skin Cancer Unit of Nantes Hospital, France. Controls included 1500 consecutive patients consulting their general practitioners. A self-administrated questionnaire was used for assessment of melanoma risk factors. Three methods of scoring were used and compared: one with common relative risks reported in the literature, one with odds ratios estimated by logistic regression, and a combinatorial analysis. The method based on combinatorial analysis permitted one to obtain a simple rule to define individuals at risk: the association of the rule 'presence of at least three risk factors or presence of more than 20 naevi on the arms' for the patients aged under 60 years and 'presence of at least three risk factors or presence of freckles' for the patients aged 60 years and above (sensitivity: 63.2% and specificity: 68.8%). The tool we propose is easy to use every day in routine health care to select patients with high risk of melanoma. It can be assessed without any computer or calculator and is based on the self-assessment of the melanoma risk factors by the patient and thus is not medical time consuming.
黑色素瘤是全球发病率增长最快的癌症之一。我们需要有工具来识别患有高风险黑色素瘤的患者。我们进行了一项病例对照研究,测试了三种方法来制定一种可用于常规实践的个体黑色素瘤风险评分。所有病例均包括 2007 年在法国南特医院皮肤科癌症科诊断为 I 期或 II 期(美国癌症联合委员会第 6 版)的新诊断侵袭性皮肤黑色素瘤。对照组包括 1500 名连续就诊的普通医生的患者。使用自我管理问卷评估黑色素瘤危险因素。使用了三种评分方法并进行了比较:一种是文献中报道的常见相对风险,一种是通过逻辑回归估计的优势比,还有一种是组合分析。基于组合分析的方法允许获得一个简单的规则来定义有风险的个体:对于 60 岁以下的患者,规则为“存在至少三个危险因素或手臂上存在超过 20 个痣”,对于 60 岁及以上的患者,规则为“存在至少三个危险因素或存在雀斑”(敏感性:63.2%,特异性:68.8%)。我们提出的工具易于在日常医疗保健中使用,以选择患有高风险黑色素瘤的患者。它可以在没有任何计算机或计算器的情况下进行评估,并且基于患者对黑色素瘤危险因素的自我评估,因此不会耗费医疗时间。