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Abstract：
OBJECTIVE: To calculate pooled risk estimates of the association between pigmentary characteristics and basal cell carcinoma (BCC) of the skin.
METHODS: We searched three electronic databases and reviewed the reference lists of the retrieved articles until July 2012 to identify eligible epidemiologic studies. Eligible studies were those published in between 1965 and July 2012 that permitted quantitative assessment of the association between histologically-confirmed BCC and any of the following characteristics: hair colour, eye colour, skin colour, skin phototype, tanning and burning ability, and presence of freckling or melanocytic nevi. We included 29 studies from 2236 initially identified. We calculated summary odds ratios (ORs) using weighted averages of the log OR, using random effects models.
RESULTS: We found strongest associations with red hair (OR 2.02; 95% CI: 1.68, 2.44), fair skin colour (OR 2.11; 95% CI: 1.56, 2.86), and having skin that burns and never tans (OR 2.03; 95% CI: 1.73, 2.38). All other factors had weaker but positive associations with BCC, with the exception of freckling of the face in adulthood which showed no association.
CONCLUSIONS: Although most studies report risk estimates that are in the same direction, there is significant heterogeneity in the size of the estimates. The associations were quite modest and remarkably similar, with ORs between about 1.5 and 2.5 for the highest risk level for each factor. Given the public health impact of BCC, this meta-analysis will make a valuable contribution to our understanding of BCC.
METHODS: We searched three electronic databases and reviewed the reference lists of the retrieved articles until July 2012 to identify eligible epidemiologic studies. Eligible studies were those published in between 1965 and July 2012 that permitted quantitative assessment of the association between histologically-confirmed BCC and any of the following characteristics: hair colour, eye colour, skin colour, skin phototype, tanning and burning ability, and presence of freckling or melanocytic nevi. We included 29 studies from 2236 initially identified. We calculated summary odds ratios (ORs) using weighted averages of the log OR, using random effects models.
RESULTS: We found strongest associations with red hair (OR 2.02; 95% CI: 1.68, 2.44), fair skin colour (OR 2.11; 95% CI: 1.56, 2.86), and having skin that burns and never tans (OR 2.03; 95% CI: 1.73, 2.38). All other factors had weaker but positive associations with BCC, with the exception of freckling of the face in adulthood which showed no association.
CONCLUSIONS: Although most studies report risk estimates that are in the same direction, there is significant heterogeneity in the size of the estimates. The associations were quite modest and remarkably similar, with ORs between about 1.5 and 2.5 for the highest risk level for each factor. Given the public health impact of BCC, this meta-analysis will make a valuable contribution to our understanding of BCC.
摘要：
目的：计算色素性特征与皮肤基底细胞癌（BCC）之间关联的合并风险估计值。
方法：我们检索了三个电子数据库，并回顾了直到2012年7月检索到的文章的参考列表，以确定合格的流行病学研究。符合条件的研究是在1965年至2012年7月之间发表的研究，这些研究允许对组织学证实的BCC与以下任何特征之间的关联进行定量评估：头发颜色，眼睛颜色,肤色,皮肤照型，晒黑和燃烧能力，和雀斑或黑素细胞痣的存在。我们纳入了最初确定的2236项研究中的29项。我们使用对数OR的加权平均值计算汇总赔率比(OR)，使用随机效应模型。
结果：我们发现与红头发的相关性最强（OR2.02；95％CI：1.68，2.44），肤色白皙（OR2.11；95%CI：1.56，2.86），皮肤灼伤且从不晒黑（OR2.03；95%CI：1.73，2.38）。所有其他因素都与BCC有较弱但正相关，除了成年后脸上的雀斑没有任何关联。
结论：尽管大多数研究报告的风险估计方向相同，估计的大小存在显著的异质性。这些协会相当温和，非常相似，每个因素的最高风险水平的OR在约1.5和2.5之间。鉴于BCC对公共卫生的影响，这项荟萃分析将为我们对BCC的理解做出有价值的贡献。
方法：我们检索了三个电子数据库，并回顾了直到2012年7月检索到的文章的参考列表，以确定合格的流行病学研究。符合条件的研究是在1965年至2012年7月之间发表的研究，这些研究允许对组织学证实的BCC与以下任何特征之间的关联进行定量评估：头发颜色，眼睛颜色,肤色,皮肤照型，晒黑和燃烧能力，和雀斑或黑素细胞痣的存在。我们纳入了最初确定的2236项研究中的29项。我们使用对数OR的加权平均值计算汇总赔率比(OR)，使用随机效应模型。
结果：我们发现与红头发的相关性最强（OR2.02；95％CI：1.68，2.44），肤色白皙（OR2.11；95%CI：1.56，2.86），皮肤灼伤且从不晒黑（OR2.03；95%CI：1.73，2.38）。所有其他因素都与BCC有较弱但正相关，除了成年后脸上的雀斑没有任何关联。
结论：尽管大多数研究报告的风险估计方向相同，估计的大小存在显著的异质性。这些协会相当温和，非常相似，每个因素的最高风险水平的OR在约1.5和2.5之间。鉴于BCC对公共卫生的影响，这项荟萃分析将为我们对BCC的理解做出有价值的贡献。
