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识别黑色素瘤高风险个体:绝对风险的实用预测指标。

Identifying individuals at high risk of melanoma: a practical predictor of absolute risk.

作者信息

Fears Thomas R, Guerry DuPont, Pfeiffer Ruth M, Sagebiel Richard W, Elder David E, Halpern Allan, Holly Elizabeth A, Hartge Patricia, Tucker Margaret A

机构信息

Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.

出版信息

J Clin Oncol. 2006 Aug 1;24(22):3590-6. doi: 10.1200/JCO.2005.04.1277. Epub 2006 May 25.

Abstract

PURPOSE

We developed a model to estimate the 5-year absolute risk of melanoma to efficiently identify individuals at increased risk of melanoma for potential interventions.

PATIENTS AND METHODS

We used data from a case-control study with 718 non-Hispanic white patients with invasive cutaneous melanoma from melanoma clinics in Philadelphia, PA and San Francisco, CA; matched controls were 945 patients from outpatient clinics with similar catchment areas. All participants underwent extensive interviews and skin examinations. We selected easily obtained clinical characteristics and responses to simple questions for study in order to develop sex-specific relative risk models. These models were combined with incidence and mortality rates by United States geographic areas to develop estimates of the absolute risk of developing melanoma within 5 years.

RESULTS

Relative risk models yielded an attributable risk of 86% for men and 89% for women, using at most seven variables. Attributable risks did not vary by age, ultraviolet B flux or hours outdoors. The absolute individual risks varied widely, depending on age, other host characteristics, and geographic area. Individual absolute risk can be estimated using a program available online.

CONCLUSION

Our procedures allow for estimating the absolute risk of developing melanoma to assist in the identification of patients at high risk. Such high-risk individuals could undergo interventions including a complete skin examination, counseling to avoid sun exposures, regular self and professional surveillance, or participation in prevention trials. It is important to emphasize that these projections are not intended to identify current melanoma cases.

摘要

目的

我们开发了一种模型来估计黑色素瘤的5年绝对风险,以有效地识别黑色素瘤风险增加的个体,以便进行潜在干预。

患者与方法

我们使用了一项病例对照研究的数据,该研究纳入了来自宾夕法尼亚州费城和加利福尼亚州旧金山黑色素瘤诊所的718名非西班牙裔白人侵袭性皮肤黑色素瘤患者;匹配的对照组是来自门诊诊所的945名患者,这些门诊诊所的服务区域相似。所有参与者都接受了广泛的访谈和皮肤检查。我们选择了易于获得的临床特征和对简单问题的回答进行研究,以建立性别特异性相对风险模型。这些模型与美国各地区的发病率和死亡率相结合,以估计5年内发生黑色素瘤的绝对风险。

结果

相对风险模型使用最多七个变量得出男性的归因风险为86%,女性为89%。归因风险在不同年龄、紫外线B通量或户外时间方面没有差异。个体绝对风险差异很大,取决于年龄、其他宿主特征和地理区域。个体绝对风险可以使用在线提供的程序进行估计。

结论

我们的程序能够估计发生黑色素瘤的绝对风险,以帮助识别高危患者。此类高危个体可接受包括全面皮肤检查、避免日晒咨询、定期自我和专业监测或参与预防试验在内的干预措施。需要强调的是,这些预测并非旨在识别当前的黑色素瘤病例。

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