Milk and Dairy Consumption and Risk of Bladder Cancer: A Meta-analysis

Li, Fēi; An, Shengli; Zhou, You; Liang, Zhongkun; Jiao, Zhan-jiang; Jing, Yuming; Wan, Pei; Shi, Xiaojun; Tan, Wanlong

doi:10.1016/j.urology.2011.09.002

Cited by 52 publications

(43 citation statements)

References 27 publications

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“…smokingYu et al [26]Coffee9 COHDrinkers versus none/lowestYes (MMA)RR 0.83; 95 % CI 0.73–0.949I 2 = 39.3 %Egger p = 0.793Wu et al [29]Coffee34 CC6 COHHigh versus lowYes (MMA)RRms = 1.28; 95 % CI 1.21–1.4618Most adjusted, incl. smokingI 2 = 28.5Egger p = 0.051Boyle et al [30]Sweetened carbonated beverages5 studiesHigh versus lowYesRR 1.13; 95 % CI 0.89–1.455I 2 = 0.0 %Egger p = 0.05Li et al [135]MilkDairy products12 CC6 COHMilk; high versus lowYesRRm = 0.91; 95 % CI 0.72–1.157Most adjustedQ p = 0.020Egger p = 0.048Dairy products; high versus lowYesRRm = 1.01; 95 % CI 0.86–1.193Most adjustedQ p = 0.108Egger p = 0.73Mao et al [31]Milk and Dairy products8 HCC5 PCC6 COHAll milk; high versus lowNoRRms = 0.84; 95 % CI 0.72–0.9716Most adjusted, incl. smokingI 2 = 70.1 %Egger p = 0.055Whole milk; high versus lowNoRR 2.23; 95 % CI 1.45–3.002I 2 = 0…”

Section: Appendixmentioning

confidence: 99%

Modifiable risk factors for the prevention of bladder cancer: a systematic review of meta-analyses

et al. 2016

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Each year, 430,000 people are diagnosed with bladder cancer. Due to the high recurrence rate of the disease, primary prevention is paramount. Therefore, we reviewed all meta-analyses on modifiable risk factors of primary bladder cancer. PubMed, Embase and Cochrane database were systematically searched for meta-analyses on modifiable risk factors published between 1995 and 2015. When appropriate, meta-analyses (MA) were combined in meta–meta-analysis (MMA). If not, the most comprehensive MA was selected based on the number of primary studies included. Probability of causation was calculated for individual factors and a subset of lifestyle factors combined. Of 1496 articles identified, 5 were combined in MMA and 21 were most comprehensive on a single risk factor. Statistically significant associations were found for current (RR 3.14) or former (RR 1.83) cigarette smoking, pipe (RR 1.9) or cigar (RR 2.3) smoking, antioxidant supplementation (RR 1.52), obesity (RR 1.10), higher physical activity levels (RR 0.86), higher body levels of selenium (RR 0.61) and vitamin D (RR 0.75), and higher intakes of: processed meat (RR 1.22), vitamin A (RR 0.82), vitamin E (RR 0.82), folate (RR 0.84), fruit (RR 0.77), vegetables (RR 0.83), citrus fruit (RR 0.85), and cruciferous vegetables (RR 0.84). Finally, three occupations with the highest risk were tobacco workers (RR 1.72), dye workers (RR 1.58), and chimney sweeps (RR 1.53). The probability of causation for individual factors ranged from 4 to 68 %. The combined probability of causation was 81.8 %. Modification of lifestyle and occupational exposures can considerably reduce the bladder cancer burden. While smoking remains one of the key risk factors, also several diet-related and occupational factors are very relevant.

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Section: Appendixmentioning

confidence: 99%

Modifiable risk factors for the prevention of bladder cancer: a systematic review of meta-analyses

et al. 2016

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“…Bladder cancer is the fourth most common solid tumor in males and the seventh most common solid tumor in females, globally (1). According to statistics published in 2012, the number of new bladder cancer cases in the world reached 430,000, and the number of mortalities caused by bladder cancer reached 165,000 (2).…”

Section: Introductionmentioning

confidence: 99%

MicroRNA-186 regulates the invasion and metastasis of bladder cancer via vascular endothelial growth factor C

Ping

2017

Experimental and Therapeutic Medicine

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“…Between-studies heterogeneity was measured using the Q statistic. P<0.10 was regarded as significantly heterogeneous and random effects models were used for analyses estimating the pooled RR, 95% confidence intervals, and corresponding p-values for heterogeneity, otherwise, fixed effects models were used 16 . I 2 statistic was also applied to measure the percentage of the total variation across studies caused by heterogeneity 17,18 .…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, we set p = 0.1 as our statistical penalty in these two tests. P<0.1 indicated possible publication bias 16 . All statistical analyses were using the commands in the Stata statistical software package (version, 11.0, Stata Corporation, College Station, TX, USA).…”

Section: Discussionmentioning

confidence: 99%

Vitamin D intake and type 2 diabetes risk: a meta-analysis of prospective cohort studies

Zhao¹,

Tian²,

Ge³

et al. 2014

Afr H. Sci.

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Background The findings form studies on the relationship between vitamin D and type 2 diabetes were inconsistent. Objectives To elucidate the association between vitamin D consumption and type 2 diabetes risk by conducting a metaanalysis. Methods We conducted a systematic literature search to identify prospective cohort studies of vitamin D intake and type 2 diabetes risk prior to November 2012. Eligible studies were retrieved via both computer searches and manual review of references. The summary risk estimates were calculated based on the highest versus the lowest categories.Results Meta-analysis of 4 prospective cohort studies involving 187, 592 participants and 9, 456 incident cases showed an absence of significant association between total vitamin D intake and type 2 diabetes risk. The combined RR was 0.93 (95% CI: 0.85-1.01). The associations were similar for subgroup analyses, a combined RR respectively was 0.94 (95% CI: 0.77-

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Milk and Dairy Consumption and Risk of Bladder Cancer: A Meta-analysis

Cited by 52 publications

References 27 publications

Modifiable risk factors for the prevention of bladder cancer: a systematic review of meta-analyses

Modifiable risk factors for the prevention of bladder cancer: a systematic review of meta-analyses

MicroRNA-186 regulates the invasion and metastasis of bladder cancer via vascular endothelial growth factor C

Vitamin D intake and type 2 diabetes risk: a meta-analysis of prospective cohort studies

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