Potential risk of certain cancers among patients with Periodontitis: a supplementary meta-analysis of a large-scale population.

Potential risk of certain cancers among patients with Periodontitis: a supplementary meta-analysis of a large-scale population.
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牙周炎患者患某些癌症的潜在风险:大规模人群的补充荟萃分析

DOI:
10.7150/ijms.46812
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发表时间:
2020
影响因子:
3.6
通讯作者:
Li X
Li X
中科院分区:
医学4区
文献类型:
--
作者:
Ma H;Zheng J;Li X

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背景资料:一些研究报道了牙周炎与食管癌、前列腺癌、肾癌、血液恶性肿瘤和皮肤黑色素瘤之间的生物学联系。本荟萃分析旨在评估牙周炎与上述五种癌症之间的关系。方法:检索关于牙周炎与上述五种癌症之间关系的合格研究。使用Stata 12.0进行统计分析。结果:纳入10篇文章(大多数癌症的样本超过10万例)。具有统计学意义的是,牙周炎患者患食管癌的风险可能增加(HR = 1.79,95% CI:1.15-2.79),前列腺癌(HR = 1.20,95% CI:1.09-1.31),恶性血液病(HR = 1.19,95% CI:1.09-1.29),皮肤黑色素瘤(HR = 1.21,95% CI:1.03-1.42)。然而,牙周炎与肾癌易感性之间的相关性缺乏证据(HR=1.30,95%CI:0.96-1.76)。结论:本荟萃分析揭示了牙周炎与食管癌、前列腺癌、血液恶性肿瘤和皮肤黑色素瘤之间的潜在联系。但是,仍需要大样本量和多变量调整的多中心研究来支持这一结论。
Background: Some studies have reported biological linkages between periodontitis and esophageal cancer, prostate cancer, kidney cancer, hematological malignancy, and melanoma of the skin. This meta-analysis aimed to assess the relationship between periodontitis and the aforementioned five cancers. Methods: Eligible studies on the association between periodontitis and the aforementioned five kinds of cancers were retrieved. The statistical analysis was conducted using Stata 12.0. Results: Ten articles (more than 100,000 samples for most cancers) were included. With statistical significance, participants with periodontitis might have enhanced risks of esophageal cancer (HR = 1.79, 95% CI: 1.15-2.79), prostate cancer (HR = 1.20, 95% CI: 1.09-1.31), hematological malignancy (HR = 1.19, 95% CI: 1.09-1.29), and melanoma of skin (HR = 1.21, 95% CI: 1.03-1.42), compared with those without periodontitis. However, the evidence regarding the correlation between periodontitis and the susceptibility to kidney cancer was lacking (HR=1.30, 95% CI: 0.96-1.76). Conclusions: The present meta-analysis revealed a potential link between periodontitis and esophageal cancer, prostate cancer, hematological malignancy, and melanoma of the skin. However, multi-center studies with large sample sizes and multivariable adjustments are still needed to support the conclusion.
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