The relationship between metabolic syndrome and its components with bladder cancer: a systematic review and meta-analysis of cohort studies

Ahmadinezhad, Mozhgan; Arshadi, Maedeh; Hesari, Elahe; Sharafoddin, Maedeh; Azizi, Hosein; Khodamoradi, Farzad

doi:10.4178/epih.e2022050

Cited by 7 publications

(7 citation statements)

References 92 publications

(182 reference statements)

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“…In this study, all metabolic syndromerelated variables were also associated with newly diagnosed bladder cancer although the magnitude of their effects was modest, which is consistent with previous studies [30]. However, due to the complexity of the determination of the association between bladder cancer incidence and metabolic syndrome, it is difficult to conclude the actual influence of metabolic syndrome on bladder cancer.…”

Section: Discussionsupporting

confidence: 87%

Bladder Cancer in South Korea: Analysis of Trends and Risk Factors of Bladder Cancer in South Korea Using a Nationwide Database

Yoo

Han

Kim

et al. 2023

Korean J Urol Oncol

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Purpose: The purpose of this study was to evaluate the incidence rate and trend of bladder cancer in South Korea using a nationwide database. In addition, we aimed to determine the risk factors and their influence on the incidence of bladder cancer.Materials and Methods: We extracted data from the health insurance database and estimated the incidence rate of newly developed bladder cancer from 2007 to 2019. In addition, we conducted further analysis of 10,210,654 individuals who underwent general health check-ups in 2009 to investigate the risk factors for bladder cancer. Variables associated with bladder cancer were evaluated using Cox regression analysis.Results: Bladder cancer significantly increased especially in the last 10 years. In 2019, 21.07 people per 100,000 were diagnosed with bladder cancer, whereas 13.62 people per 100,000 were diagnosed with bladder cancer in 2007. The compound annual increase rate from 2007 to 2019 was 3.7%. Among 10,210,654 individuals who had general health check-ups in 2009, bladder cancer was diagnosed in 83 people per 100,000 population in the 10-year follow-up. After adjusting for other variables, smoking-related variables were most significantly associated with bladder cancer incidence, followed by metabolic syndrome and its related variables. In the further analysis of the effect of smoking on bladder cancer according to sex, the smoking amount was more significantly associated with bladder cancer incidence in women compared to that in men.Conclusions: The crude incidence of bladder cancer continuously increased in South Korea during the last 10 years. Smoking, in addition to sex, age, and metabolic syndrome-related variables, was significantly associated with bladder cancer, especially in women.

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Section: Discussionsupporting

confidence: 87%

Bladder Cancer in South Korea: Analysis of Trends and Risk Factors of Bladder Cancer in South Korea Using a Nationwide Database

Yoo

Han

Kim

et al. 2023

Korean J Urol Oncol

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“…Third, some drugs excreted through the urinary system during the diagnosis and treatment of OA may become carcinogens of bladder cancer. 25,[47][48][49] In addition, a number of other risk factors are shared in the development of OA and bladder cancer, such as obesity and metabolic syndrome, [50][51][52][53] coffee consumption, 33,54 higher serum IGF-1 concentration, [55][56][57] Brazilin, 58 Chondromodulin-1, 59 vitamin K-dependent protein, and GRP/Ucma. 60 The mechanism explanation for the noncausal association between site-specific OA (knee OA and hip OA) and bladder cancer risk may be related to the higher dose or longer duration of NSAIDs.…”

Section: Discussionmentioning

confidence: 99%

“…Third, some drugs excreted through the urinary system during the diagnosis and treatment of OA may become carcinogens of bladder cancer. 25 , 47 , 48 , 49 In addition, a number of other risk factors are shared in the development of OA and bladder cancer, such as obesity and metabolic syndrome, 50 , 51 , 52 , 53 coffee consumption, 33 , 54 higher serum IGF‐1 concentration, 55 , 56 , 57 Brazilin, 58 Chondromodulin‐1, 59 vitamin K‐dependent protein, and GRP/Ucma. 60 …”

Section: Discussionmentioning

confidence: 99%

The causal relationship between osteoarthritis and bladder cancer: A Mendelian randomization study

Zhang,

Wen,

Xing

et al. 2023

Cancer Medicine

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ObjectiveThe causal association between osteoarthritis (OA) and bladder cancer remains unclear. This Mendelian randomization (MR) study was carried out to assess the potential causal effects of any OA, knee OA and hip OA, and bladder cancer.MethodGenome‐wide association study (GWAS) summary data for OA and bladder cancer were obtained in GWAS CATALOG, UK Biobank, and FinnGen Consortium. Inverse‐variance weighted (IVW) approach was primarily conducted to evaluate the causal relationships between OA and bladder cancer, and MR‐Egger intercept and Cochran's Q test were mainly used to estimate heterogeneity and pleiotropy. MR‐PRESSO was used to test the presence of horizontal outliers. Leave‐one‐out analysis was utilized to ensure the reliability of the results.ResultsA higher genetic predisposition to any OA has a causal association with bladder cancer risk, while neither knee OA nor hip OA is causally linked to bladder cancer. MR‐Egger intercept analysis exhibited that any OA and knee OA had no pleiotropic effect on the risk of bladder cancer, and Cochran's Q test showed that any OA, knee OA and hip OA had no heterogeneity on bladder cancer risk. Neither MR PRESSO analysis nor leave‐one‐out analysis revealed any outlier SNPs.ConclusionsThis MR study exhibited a positive cause‐and‐effect relationship between any type of OA and bladder cancer risk, but not between site‐specific OA, knee OA and hip OA, and bladder cancer. Attention should be paid to the screening and prevention of bladder cancer in OA patients at any site.

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“…[8] A systematic review and meta-analysis of cohort studies indicated statistically significant relationships between diabetes (relative risk = 1.23; 95%CI: 1.16–1.31) and hypertension (relative risk = 1.07; 95%CI: 1.01–1.13) with bladder cancer. [9] Bansal et al [10] conducted a meta-analysis including 45 studies showed that patients with diabetes have a statistically significant (14% lower) risk of acquiring prostate cancer. Thus, the relationship between diabetes, hypertension and bladder cancer are still controversial.…”

Section: Introductionmentioning

confidence: 99%

Machine learning algorithms predicting bladder cancer associated with diabetes and hypertension: NHANES 2009 to 2018

Xu,

Huang

2024

Medicine

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Bladder cancer is 1 of the 10 most common cancers in the world. However, the relationship between diabetes, hypertension and bladder cancer are still controversial, limited study used machine learning models to predict the development of bladder cancer. This study aimed to explore the association between diabetes, hypertension and bladder cancer, and build predictive models of bladder cancer. A total of 1789 patients from the National Health and Nutrition Examination Survey were enrolled in this study. We examined the association between diabetes, hypertension and bladder cancer using multivariate logistic regression model, after adjusting for confounding factors. Four machine learning models, including extreme gradient boosting (XGBoost), Artificial Neural Networks, Random Forest and Support Vector Machine were compared to predict for bladder cancer. Model performance was assessed by examining the area under the subject operating characteristic curve, accuracy, recall, specificity, precision, and F1 score. The mean age of bladder cancer group was older than that of the non-bladder cancer (74.4 years vs 65.6 years, P < .001), and men were more likely to have bladder cancer. Diabetes was associated with increased risk of bladder cancer (odds ratio = 1.24, 95%confidence interval [95%CI]: 1.17–3.02). The XGBoost model was the best algorithm for predicting bladder cancer; an accuracy and kappa value was 0.978 with 95%CI:0.976 to 0.986 and 0.01 with 95%CI:0.01 to 0.52, respectively. The sensitivity was 0.90 (95%CI:0.74–0.97) and the area under the curve was 0.78. These results suggested that diabetes is associated with risk of bladder cancer, and XGBoost model was the best algorithm to predict bladder cancer.

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The relationship between metabolic syndrome and its components with bladder cancer: a systematic review and meta-analysis of cohort studies

Cited by 7 publications

References 92 publications

Bladder Cancer in South Korea: Analysis of Trends and Risk Factors of Bladder Cancer in South Korea Using a Nationwide Database

Bladder Cancer in South Korea: Analysis of Trends and Risk Factors of Bladder Cancer in South Korea Using a Nationwide Database

The causal relationship between osteoarthritis and bladder cancer: A Mendelian randomization study

Machine learning algorithms predicting bladder cancer associated with diabetes and hypertension: NHANES 2009 to 2018

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