The association between psoriasis and diabetes mellitus: A systematic review and meta-analysis.

BACKGROUND: Psoriasis is an immune-mediated chronic inflammatory skin disease with unknown etiology. Current findings demonstrate that psoriatic patients are at higher risk of other systemic disorders such as diabetes mellitus. The present study was conducted to evaluate the association between psoriasis and diabetes mellitus. METHOD: The current study was conducted based on preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. Using MeSH keywords we searched online databases of PubMed, Scopus, Web of Science, Science Direct, Embase, CINAHL, Cochrane Library, EBSCO and Google scholar search engine and the reference list of the retrieved articles until June 2018. Heterogeneity among studies was assessed using Cochran's Q test and I2 index and the random effects model was used to estimate Odds Ratio (OR) and 95% confidence interval (CI). Data were analyzed using Comprehensive Meta-Analysis (CMA) software version 2. RESULTS: Analysis of 38 eligible studies involving 922870 cases and 12808071 controls suggested the estimated OR to be 1.69 (95% Confidence Interval [CI]: 1.51-1.89; P < 0.001). Subgroup analysis was conducted based on study design and country of study and was significant (test for subgroup differences: P = 0.025 and P < 0.001, respectively). CONCLUSIONS: Our study indicated the significant association between psoriasis and diabetes. Therefore, psoriasis is a systemic disorder and other comorbidities should be considered in the management of patients with psoriasis.

The association between metabolic syndrome and polycystic ovary syndrome: A systematic review and meta-analysis.

BACKGROUND: One of the most frequently encountered endocrinopathy in women of reproductive age is polycystic ovary syndrome (PCOS). Recent studies have reported varied prevalence of metabolic syndrome (MetS) in women with PCOS. The aim of this study is to determine if the women with PCOS are at a higher risk of MetS. METHOD: The present systematic review and meta-analysis was conducted according to the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. To collect articles, we searched online databases of PubMed/Medline, Scopus, Web of Science, Science Direct, Embase, CINAHL, Cochrane Library, EBSCO and Google scholar search engine and the reference list of the retrieved articles using MeSH keywords of "metabolic syndrome", "woman" and "polycystic ovary syndrome" without time limit until October 2018. Cochran's Q test and I2 Index were used to evaluate the heterogeneity among studies and the random effects model was used for combining the results. Data analysis was performed in STATA software version 11.1. RESULT: Finally, 72 studies involving 10075 PCOS patients with an average age of 26.2 ±â€¯5.01 years were included in the meta-analysis. The heterogeneity rate was high (I2 = 76.5%; p < 0.001) and the pooled estimate of the association between MetS and PCOS was significant (OR = 2.57, 95% CI: 2.18-3.02; P < 0.001). CONCLUSION: According to the results, there is higher risk of MetS in women with PCOS. Therefore, diagnosis and treatment of MetS in women with PCOS may have a significant impact on this patients health and reduce the rate of mortality and morbidity.

The association between Selenium and Prostate Cancer: a Systematic Review and Meta-Analysis

Background: Evidence of relationship between selenium and prostate cancer has been inconsistent. The present metaanalysis was conducted to determine relationship between selenium and prostate cancer. Methods: A systematic review and meta-analysis was carried out using preferred reporting items for systematic reviews and meta-analysis (PRISMA). We searched PubMed, Scopus, Web of Science, ScienceDirect, Embase, CINAHL, Cochrane Library, EBSCO and Google scholar search engines and the reference lists of the retrieved papers for relevant data, without any limitation regarding language or time until 2016. Heterogeneity among studies was evaluated using Q test and I2 Index. Finally, a random effects model was used for combining results using STATA software version 11.1. P<0.05 was considered significant. Results: Thirty-eight studies including 36,419 cases and 105,293 controls were included in the final analysis. The pooled relative risk (RR) of relation between selenium and prostate cancer was 0.86 (95% Confidence Interval [CI]:0.78-0.94). Sub-group analyses based on case-control, cohort, and RCT studies gave values of 0.89 (95% CI: 0.80-1.00), 0.77 (95% CI: 0.52-1.14) and 0.90 (95% CI: 0.74-1.09), respectively. RRs based on serum, plasma and nail samples were 0.69 (95% CI: 0.51-0.95), 0.85 (95% CI: 0.61-1.17), 0.66 (95% CI: 0.41-1.05), respectively. According to 10 studies, investigated the relation between advanced prostate cancer and selenium in which the RR was 0.67 (95% CI: 0.52-0.87). Conclusions: This meta-analysis indicated that selenium most probably has a protective role against development of prostate cancer and its progression to advanced stages. Therefore, selenium supplementation can be proposed for prevention of prostate cancer.