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男性型秃发与前列腺疾病之间的关联:一项荟萃分析。

Association between male pattern baldness and prostate disease: A meta-analysis.

作者信息

Jin Tao, Wu Tao, Luo Zhumei, Duan Xi, Deng Shi, Tang Yin

机构信息

Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, China.

Department of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.

出版信息

Urol Oncol. 2018 Feb;36(2):80.e7-80.e15. doi: 10.1016/j.urolonc.2017.09.022. Epub 2017 Oct 18.

Abstract

BACKGROUND

Male pattern baldness (MPB) has been associated with an increased risk of prostate cancer (PC) as well as benign prostatic hyperplasia (BPH). We performed a meta-analysis to quantitatively determine the level of risk of PC and BPH in individuals with baldness.

METHODS

A systematic literature search was conducted using several databases. We calculated pooled odds ratios (OR) and 95% CIs.

RESULTS

In total, 17 studies comprising 68,448 participants were eligible for the meta-analysis and showed that MPB is associated with an increased risk of aggressive PC (OR = 1.59; 95% CI: 1.36-1.86; P<0.001) as well as BPH (OR = 1.26; 95% CI: 1.05-1.51; P = 0.01). There was statistically significant association between vertex baldness and PC (OR = 1.18; 95% CI: 1.05-1.32; P = 0.006). No statistically significant association between vertex, frontal plus vertex hair loss pattern, and BPH were identified.

CONCLUSIONS

MPB is associated with an increased risk of PC and BPH. Despite our findings, further studies, preferably prospective cohort studies, are required to better elucidate these relationships and to advance knowledge in this field.

摘要

背景

男性型秃发(MPB)与前列腺癌(PC)以及良性前列腺增生(BPH)风险增加有关。我们进行了一项荟萃分析,以定量确定秃发个体患PC和BPH的风险水平。

方法

使用多个数据库进行系统的文献检索。我们计算了合并优势比(OR)和95%置信区间(CI)。

结果

总共17项研究,包括68448名参与者,符合荟萃分析条件,结果显示MPB与侵袭性PC风险增加相关(OR = 1.59;95% CI:1.36 - 1.86;P < 0.001)以及与BPH相关(OR = 1.26;95% CI:1.05 - 1.51;P = 0.01)。头顶秃发与PC之间存在统计学显著关联(OR = 1.18;95% CI:1.05 - 1.32;P = 0.006)。未发现头顶、额部加头顶脱发模式与BPH之间存在统计学显著关联。

结论

MPB与PC和BPH风险增加相关。尽管有这些发现,但仍需要进一步研究,最好是前瞻性队列研究,以更好地阐明这些关系并推动该领域的知识进步。

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