scholarly journals Use of Insulin and Insulin Analogs and Risk of Cancer — Systematic Review and Meta-Analysis of Observational Studies

2013 ◽  
Vol 8 (5) ◽  
pp. 333-348 ◽  
Author(s):  
Oystein Karlstad ◽  
Jacob Linde ◽  
Peter Vestergaard ◽  
Vidar Hjellvik ◽  
Marloes Bazelier ◽  
...  
Diabetes Care ◽  
2016 ◽  
Vol 39 (3) ◽  
pp. 486-494 ◽  
Author(s):  
Jennifer W. Wu ◽  
Kristian B. Filion ◽  
Laurent Azoulay ◽  
Margaret K. Doll ◽  
Samy Suissa

Author(s):  
Sina Naghshi ◽  
Omid Sadeghi ◽  
Mohammad Naemi ◽  
Mehrasa Moezrad

Background: This study protocol outlines the planned, systematic review and dose-response meta-analysis of nuts intake with cancer risk and its mortality. Methods: This meta-analysis will be done based on the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P). A systematic literature search will be conducted using online databases, including PubMed/Medline, ISI Web of Science, and Scopus with no limitation in language or time of publication to identify observational studies investigating the association of nuts intake with cancer risk and its mortality. The target population will be adults (≥18 years of age). Random-effects models will be used to calculate pooled effect sizes (ESs) for the risk of cancer and its mortality based on the comparison between the highest and lowest categories of nut intake and to incorporate variation between studies. Linear and non-linear dose-response analyses will be done to evaluate the dose-response associations between nut intake and risk of cancer and its mortality. The Newcastle-Ottawa Scale (NOS) will be used to assess the risk of bias or quality of included studies. Conclusion: The findings of this systematic review and dose-response meta-analysis will summarize all available evidence on the association between nut intake and risk of cancer and its mortality.


Cancers ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1174 ◽  
Author(s):  
Fausto Petrelli ◽  
Michele Ghidini ◽  
Antonio Ghidini ◽  
Gianluca Perego ◽  
Mary Cabiddu ◽  
...  

The association between antibiotic use and risk of cancer development is unclear, and clinical trials are lacking. We performed a systematic review and meta-analysis of observational studies to assess the association between antibiotic use and risk of cancer. PubMed, the Cochrane Library and EMBASE were searched from inception to 24 February 2019 for studies reporting antibiotic use and subsequent risk of cancer. We included observational studies of adult subjects with previous exposure to antibiotics and available information on incident cancer diagnoses. For each of the eligible studies, data were collected by three reviewers. Risk of cancer was pooled to provide an adjusted odds ratio (OR) with a 95% confidence interval (CI). The primary outcome was the risk of developing cancer in ever versus non-antibiotic users. Cancer risk’s association with antibiotic intake was evaluated among 7,947,270 participants (n = 25 studies). Overall, antibiotic use was an independent risk factor for cancer occurrence (OR 1.18, 95%CI 1.12–1.24, p < 0.001). The risk was especially increased for lung cancer (OR 1.29, 95%CI 1.03–1.61, p = 0.02), lymphomas (OR 1.31, 95%CI 1.13–1.51, p < 0.001), pancreatic cancer (OR 1.28, 95%CI 1.04–1.57, p = 0.019), renal cell carcinoma (OR 1.28, 95%CI 1.1–1.5, p = 0.001), and multiple myeloma (OR 1.36, 95%CI 1.18–1.56, p < 0.001). There is moderate evidence that excessive or prolonged use of antibiotics during a person’s life is associated with slight increased risk of various cancers. The message is potentially important for public health policies because minimizing improper antibiotic use within a program of antibiotic stewardship could also reduce cancer incidence.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Aristeidis Seretis ◽  
Sofia Cividini ◽  
Georgios Markozannes ◽  
Xanthippi Tseretopoulou ◽  
David S. Lopez ◽  
...  

2020 ◽  
Vol 90 (5-6) ◽  
pp. 535-552 ◽  
Author(s):  
Mahdieh Abbasalizad Farhangi ◽  
Mahdi Vajdi

Abstract. Backgrounds: Central obesity, as a pivotal component of metabolic syndrome is associated with numerous co-morbidities. Dietary factors influence central obesity by increased inflammatory status. However, recent studies didn’t evaluate the association between central obesity and dietary inflammation index (DII®) that give score to dietary factors according to their inflammatory potential. In the current systematic review and meta-analysis, we summarized the studies that investigated the association between DII® with central obesity indices in the general populations. Methods: In a systematic search from PubMed, SCOPUS, Web of Sciences and Cochrane electronic databases, we collected relevant studies written in English and published until 30 October 2019. The population of included studies were apparently healthy subjects or individuals with obesity or obesity-related diseases. Observational studies that evaluated the association between DII® and indices of central obesity including WC or WHR were included. Results: Totally thirty-two studies were included; thirty studies were cross-sectional and two were cohort studies with 103071 participants. Meta-analysis of observational studies showed that higher DII® scores were associated with 1.81 cm increase in WC (Pooled weighted mean difference (WMD) = 1.813; CI: 0.785–2.841; p = 0.001). Also, a non-significant increase in the odds of having higher WC (OR = 1.162; CI: 0.95–1.43; p = 0.154) in the highest DII category was also observed. In subgroup analysis, the continent, dietary assessment tool and gender were the heterogeneity sources. Conclusion: The findings proposed that adherence to diets with high DII® scores was associated with increased WC. Further studies with interventional designs are necessary to elucidate the causality inference between DII® and central obesity indices.


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