Li Yongshuang, Wang Jinhua, Xiao Weimian, Liu Jing, Zha Xushan
Department of Dermatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, District Baiyun, Guangzhou, Guangdong, China.
Department of Dermatology, The Third People's Hospital of Shenzhen, District Longgang, Shenzhen, Guangdong, China.
Indian J Dermatol. 2022 Jan-Feb;67(1):92. doi: 10.4103/ijd.ijd_859_21.
To integrate evidence and assess the risk factors associated with actinic keratosis (AK).
Unrestricted searches were conducted on five electronic databases, with an end-date parameter of September 2021. We summarized the study characteristics and pooled the results from individual studies by using a random-effects model. The risk of bias was estimated using the Cochrane Risk of Bias Tool, and the quality of evidence was estimated according to the Newcastle-Ottawa Scale.
Sixteen studies were included in final analysis, and we assessed the AK risk among a variety of risk factors. Overall, the male sex (odds ratio (OR): 2.51; 95% confidence interval (CI): 1.94-3.25; < 0.01), age >45 years (OR = 7.65, 95% CI: 2.95-19.86; < 0.01), light Fitzpatrick skin phototype (OR = 2.32, 95% CI: 1.74-3.10; < 0.01), light hair color (OR = 2.17, 95% CI: 1.40-3.36; < 0.01), light eye color (OR = 1.67, 95% CI: 1.03-2.70; = 0.04), freckles on face/arms (OR = 1.88, 95% CI: 1.37-2.58; < 0.01), suffered positive history of other types of non-melanoma skin cancer (OR = 4.46, 95% CI: 2.71-7.33; < 0.01), sunburns in childhood (OR = 2.33, 95% CI: 1.47-3.70; < 0.01) and adulthood (OR = 1.50, 95% CI: 1.12-2.00; < 0.01), severe sunburn (OR = 1.94, 95% CI: 1.62-2.31; < 0.01), and chronic occupational and/or recreational sun exposure (OR = 3.22, 95% CI: 2.16-4.81; < 0.01) increased the risk of AK. Moreover, sunscreen use (OR = 0.51, 95% CI: 0.34-0.77; < 0.01) and history of atopy reduced the risk of AK. Sensitivity analysis yielded consistent results. The included studies showed a high risk of bias.
We confirm several well-known AK risk factors and their quantitative data, and summarized the uncommon risk factors and protective factors. Our results may inform on the design and implementation of AK screening and educational programs.
整合证据并评估与光化性角化病(AK)相关的风险因素。
对五个电子数据库进行无限制检索,截止日期参数为2021年9月。我们总结了研究特征,并使用随机效应模型汇总了各个研究的结果。使用Cochrane偏倚风险工具评估偏倚风险,并根据纽卡斯尔-渥太华量表评估证据质量。
最终分析纳入了16项研究,我们评估了多种风险因素中的AK风险。总体而言,男性(优势比(OR):2.51;95%置信区间(CI):1.94 - 3.25;P < 0.01)、年龄>45岁(OR = 7.65,95% CI:)、Fitzpatrick皮肤光类型为浅色(OR = 2.32,95% CI:1.74 - 3.10;P < 0.01)、头发颜色浅(OR = 2.17,95% CI:1.40 - 3.36;P < 0.01)、眼睛颜色浅(OR = 1.67,95% CI:1.03 - 2.70;P = 0.04)、面部/手臂有雀斑(OR = 1.88,95% CI:1.37 - 2.58;P < 0.01)、有其他类型非黑色素瘤皮肤癌的阳性病史(OR = 4.46,95% CI:2.71 - 7.33;P < 0.01)、儿童期晒伤(OR = 2.33,95% CI:1.47 - 3.70;P < 0.01)和成年期晒伤(OR = 1.50,95% CI:1.12 - 2.00;P < 0.01)、严重晒伤(OR = 1.94,95% CI:1.62 - 2.31;P < 0.01)以及长期职业和/或娱乐性阳光暴露(OR = 3.22,95% CI:2.16 - 4.81;P < 0.01)会增加AK风险。此外,使用防晒霜(OR = 0.51,95% CI:0.34 - 0.77;P < 0.01)和有特应性病史可降低AK风险。敏感性分析得出了一致的结果。纳入的研究显示存在较高的偏倚风险。
我们证实了几个众所周知的AK风险因素及其定量数据,并总结了不常见的风险因素和保护因素。我们的结果可为AK筛查和教育项目的设计与实施提供参考。