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Mozhgan Ahmadinezhad 2 Articles
The relationship between metabolic syndrome and its components with bladder cancer: a systematic review and meta-analysis of cohort studies
Mozhgan Ahmadinezhad, Maedeh Arshadi, Elahe Hesari, Maedeh Sharafoddin, Hosein Azizi, Farzad Khodamoradi
Epidemiol Health. 2022;44:e2022050.   Published online May 30, 2022
DOI: https://doi.org/10.4178/epih.e2022050
  • 10,989 View
  • 345 Download
  • 8 Web of Science
  • 6 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
A previous meta-analysis, entitled “The association between metabolic syndrome and bladder cancer susceptibility and prognosis: an updated comprehensive evidence synthesis of 95 observational studies involving 97,795,299 subjects,” focused on all observational studies, whereas in the present meta-analysis, we focused on cohort studies to obtain more accurate and stronger evidence to evaluate the association between metabolic syndrome and its components with bladder cancer. PubMed, Embase, Scopus, and Web of Science were searched to identify studies on the association between metabolic syndrome and its components with bladder cancer from January 1, 2000 through May 23, 2021. The pooled relative risk (RR) and 95% confidence intervals (CI) were used to measure this relationship using a random-effects meta-analytic model. Quality appraisal was undertaken using the Newcastle-Ottawa Scale. In total, 56 studies were included. A statistically significant relationship was found between metabolic syndrome and bladder cancer 1.09 (95% CI, 1.02 to 1.17), and there was evidence of moderate heterogeneity among these studies. Our findings also indicated statistically significant relationships between diabetes (RR, 1.23; 95% CI, 1.16 to 1.31) and hypertension (RR, 1.07; 95% CI, 1.01 to 1.13) with bladder cancer, but obesity and overweight did not present a statistically significant relationship with bladder cancer. We found no evidence of publication bias. Our analysis demonstrated statistically significant relationships between metabolic syndrome and the risk of bladder cancer. Furthermore, diabetes and hypertension were associated with the risk of bladder cancer.
Summary
Key Message
In this meta-analysis study, an attempt was made to investigate the relationship between metabolic syndrome and its components with bladder cancer, and as a result of this study, the relationship between metabolic syndrome and its components such as diabetes, high blood pressure, and bladder cancer was observed. Metabolic syndrome is more common among middle-aged and elderly people, and the elderly population is increasing worldwide, so the prevalence of this disease shortly may affect the healthcare system. Therefore, with correct health policies in all societies, the exorbitant costs that this disease brings can be avoided.

Citations

Citations to this article as recorded by  
  • The causal relationship between osteoarthritis and bladder cancer: A Mendelian randomization study
    Xi Zhang, Zengjin Wen, Zixuan Xing, Xiaoyu Zhou, Zhiluo Yang, Ruijun Dong, Jiao Yang
    Cancer Medicine.2024;[Epub]     CrossRef
  • Machine learning algorithms predicting bladder cancer associated with diabetes and hypertension: NHANES 2009 to 2018
    Siying Xu, Jing Huang
    Medicine.2024; 103(4): e36587.     CrossRef
  • Risk of bladder cancer in patients with type 2 diabetes mellitus: a retrospective population-based cohort study in Lithuania
    Adomas Ladukas, Ausvydas Patasius, Marius Kincius, Mingaile Drevinskaite, Justinas Jonusas, Donata Linkeviciute-Ulinskiene, Lina Zabuliene, Giedre Smailyte
    Cancer Causes & Control.2024;[Epub]     CrossRef
  • Observational study of in-hospital mortality risk from bladder cancer: Five years of experience at a tertiary referral hospital in Indonesia
    Wahjoe Djatisoesanto, Yufi Aulia Azmi, Ida Bagus Gde Tirta Yoga Yatindra, Sony Wibisono Mudjanarko, Sri Umijati
    Medicine.2024; 103(34): e39412.     CrossRef
  • Epidemiology of Bladder Cancer in 2023: A Systematic Review of Risk Factors
    Ibrahim Jubber, Sean Ong, Laura Bukavina, Peter C. Black, Eva Compérat, Ashish M. Kamat, Lambertus Kiemeney, Nathan Lawrentschuk, Seth P. Lerner, Joshua J. Meeks, Holger Moch, Andrea Necchi, Valeria Panebianco, Srikala S. Sridhar, Ariana Znaor, James W.F.
    European Urology.2023; 84(2): 176.     CrossRef
  • The Characterization of Non-oncologic Chronic Drug Therapy in Bladder Cancer Patients and the Impact on Recurrence-Free and Cancer-Specific Survival: A Prospective Study
    Dorothea Strobach, Lisa Haimerl, Hanna Mannell, Christian G. Stief, Alexander Karl, Tobias Grimm, Alexander Buchner
    Journal of Clinical Medicine.2023; 12(21): 6749.     CrossRef
The prevalence of Q fever in the Eastern Mediterranean region: a systematic review and meta-analysis
Mozhgan Ahmadinezhad, Leila Mounesan, Amin Doosti-Irani, Manijeh Yousefi Behzadi
Epidemiol Health. 2022;44:e2022097.   Published online October 28, 2022
DOI: https://doi.org/10.4178/epih.e2022097
  • 11,266 View
  • 157 Download
  • 4 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary Material
Abstract
OBJECTIVES
Q fever, caused by the bacterium, is a major zoonotic disease around the world. This disease is common in the Eastern Mediterranean region; therefore, we conducted the first systematic review and meta-analysis on its prevalence in humans, animals, and ticks in the Eastern Mediterranean region.
METHODS
Major Iranian and international databases were searched from 2000 to 2021. We extracted the prevalence of Q fever in blood samples from animals and milk samples from animals, ticks, and humans as the main outcome. We reported the prevalence of seropositivity and molecular positivity as point estimates and 95% confidence intervals (CIs).
RESULTS
In this review, 112 papers were identified. The overall seroprevalence of Q fever was 22.4% (95% CI, 19.8 to 25.1). The pooled prevalence of Q fever in ticks was 17.5% (95% CI, -1.3 to 36.4). The prevalence was 25.5% (95% CI, 16.1 to 34.9) in humans. The prevalence of Q fever in animal blood samples from goats, sheep, camels, cattle, cats, dogs, horses, and buffalo were 28.1%, 25.1%, 25.0%, 20.1%, 9.8%, 8.4%, 6.5%, and 6.3%, respectively. Furthermore, the prevalence of Q fever in milk samples of animals was higher in cattle (20.3%) than in sheep (20.0%), goats (16.4%), and camels (3.3%).
CONCLUSIONS
Coxiella burnetii infections are common in humans and in a wide range of animal species, but they are still not recognized in many countries in the Eastern Mediterranean region, thus presenting a significant threat to human and animal health in the region.
Summary

Citations

Citations to this article as recorded by  
  • Prevalence, Risk Factors, and Relationship between Reproductive Performance and the Presence of Antibodies against Coxiellosis in Dairy Farm Milk Tanks in the Northwest of Spain
    Uxía Yáñez, Jacobo Álvarez, Cristina Pisón, Antía Acción, Juan J. Becerra, Antonio Jiménez, Philippe Gisbert, Pedro G. Herradón, Ana I. Peña, Alberto Prieto, José M. Díaz-Cao, Luis A. Quintela
    Animals.2024; 14(3): 367.     CrossRef
  • Molecular detection of Coxiella burnetii in tick and blood samples from small ruminants in northwest of Iran
    Ahmad Enferadi Ghazanabad, Negin Esfandiari, Mohammadreza Najafi, Shahryar Mehrabi, Saeedeh Sarani, Peyman Khademi, Max Maurin
    Experimental and Applied Acarology.2024; 92(3): 529.     CrossRef
  • Global and regional seroprevalence of coxiellosis in small ruminants: A systematic review and meta‐analysis
    Md Ahaduzzaman, Md Moktadir Billah Reza
    Veterinary Medicine and Science.2024;[Epub]     CrossRef
  • Two Cases of Acute Q Fever Diagnosed by mNGS and Literature Review
    娇 罗
    Advances in Clinical Medicine.2023; 13(07): 12005.     CrossRef
  • Zoonotic diseases transmitted from the camels
    Abdelmalik Ibrahim Khalafalla
    Frontiers in Veterinary Science.2023;[Epub]     CrossRef
  • Q fever and coxiellosis: implications for livestock and human health in the UK
    Nick Wheelhouse, Richard Vazquez, Lorenzo Viora, Jo E. B. Halliday
    Livestock.2023; 28(5): 221.     CrossRef

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