Periodontal Disease and Incident Lung Cancer Risk: A Meta-Analysis of Cohort Studies

2016 ◽  
Vol 87 (10) ◽  
pp. 1158-1164 ◽  
Author(s):  
Xian-Tao Zeng ◽  
Ling-Yun Xia ◽  
Yong-Gang Zhang ◽  
Sheng Li ◽  
Wei-Dong Leng ◽  
...  
Nutrition ◽  
2014 ◽  
Vol 30 (10) ◽  
pp. 1122-1127 ◽  
Author(s):  
Lanfang Wang ◽  
Xingwei Zhang ◽  
Jing Liu ◽  
Li Shen ◽  
Zhiqiang Li

2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Long Yao ◽  
Mengke Liu ◽  
Yunlong Huang ◽  
Kaiming Wu ◽  
Xin Huang ◽  
...  

Background. Antidiabetic medications (ADMs) can alter the risk of different types of cancer, but the relationship between lung cancer incidence and metformin remains controversial. Our aim was to quantitatively estimate the relationship between incidences of lung cancer and metformin in patients with diabetes in this meta-analysis. Methods. We performed a search in PubMed, Embase, ISI Web of Science, and Cochrane Library until September 20, 2017. The odds ratio (OR), relative risk (RR) or hazard ratio (HR), and 95% confidence interval (95% CI) were estimated using the random-effect model. The Newcastle-Ottawa Scale (NOS) was used to assess the study quality. Results. A total of 13 studies (10 cohort studies and 3 case-control studies) were included in the meta-analysis. Compared to nonmetformin users, metformin probably decreased lung cancer incidence in diabetic patients (RR=0.89; 95% CI, 0.83-0.96; P=0.002) with significant heterogeneity (Q=35.47, I2=66%, P=0.0004). Subgroup analysis showed that cohort studies (RR=0.91; 95% CI, 0.85-0.98; P=0.008), location in Europe (RR=0.90; 95% CI, 0.86-0.94; P<0.0001), the control drug of the sulfonylurea group (RR=0.91; 95% CI, 0.86-0.96; P=0.001), and adjusting for smoking (RR=0.86; 95% CI, 0.75-1.00; P=0.05) may be related to lower lung cancer risk. No significant publication bias was detected using a funnel plot. Conclusion. Metformin use was related to a lower lung cancer risk in diabetic patients compared to nonusers, but this result was retrieved from observational studies and our findings need more well-designed RCTs to confirm the association.


2017 ◽  
Vol 11 (4) ◽  
pp. 1073-1081 ◽  
Author(s):  
Xiaojing Lin ◽  
Lei Lu ◽  
Lingli Liu ◽  
Siyu Wei ◽  
Yunyun He ◽  
...  

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hui Zeng ◽  
Zhuoyu Yang ◽  
Jiang Li ◽  
Yan Wen ◽  
Zheng Wu ◽  
...  

Abstract Background Published findings suggest sex differences in lung cancer risk and a potential role for sex steroid hormones. Our aim was to perform a meta-analysis to investigate the effects of sex steroid hormone exposure specifically on the risk of lung cancer in women. Methods The PubMed, MEDLINE, Web of Science, and EMBASE databases were searched. The pooled odds ratios (ORs) and 95% confidence intervals (95% CIs) for female lung cancer risk associated with sex steroid hormones were calculated overall and by study design, publication year, population, and smoking status. Sensitivity analysis, publication bias, and subgroup analysis were performed. Results Forty-eight studies published between 1987 and 2019 were included in the study with a total of 31,592 female lung cancer cases and 1,416,320 subjects without lung cancer. Overall, higher levels of sex steroid hormones, both endogenous (OR: 0.92, 95% CI: 0.87–0.98) and exogenous (OR: 0.86, 95% CI: 0.80–0.93), significantly decreased the risk of female lung cancer by 10% (OR: 0.90, 95% CI: 0.86–0.95). The risk of lung cancer decreased more significantly with a higher level of sex steroid hormones in non-smoking women (OR: 0.88, 95% CI: 0.78–0.99) than in smoking women (OR: 0.98, 95% CI: 0.77–1.03), especially in Asia women (OR: 0.84, 95% CI: 0.74–0.96). Conclusions Our meta-analysis reveals an association between higher levels of sex steroid hormone exposure and the decreased risk of female lung cancer. Surveillance of sex steroid hormones might be used for identifying populations at high risk for lung cancer, especially among non-smoking women.


2015 ◽  
Vol 15 (23) ◽  
pp. 10325-10328 ◽  
Author(s):  
Ying-Ze Huang ◽  
Wei Wu ◽  
Kun Wu ◽  
Xiao-Ning Xu ◽  
Wen-Ru Tang

Tumor Biology ◽  
2014 ◽  
Vol 35 (7) ◽  
pp. 6493-6500 ◽  
Author(s):  
Yan Zhao ◽  
Junjie Zeng ◽  
Yanxi Zhang ◽  
Su Lu ◽  
Erjiang Zhao ◽  
...  

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