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The effects of myo-inositol vs. metformin on the ovarian function in the polycystic ovary syndrome: a systematic review and meta-analysis.
Azizi Kutenaei, M, Hosseini Teshnizi, S, Ghaemmaghami, P, Eini, F, Roozbeh, N
European review for medical and pharmacological sciences. 2021;(7):3105-3115
Abstract
OBJECTIVE Recent studies have revealed that myo-inositol could be more influential in patients with polycystic ovary syndrome (PCOS). This study was aimed to determine and compare the effects of myo-inositol and metformin on hormonal and metabolic profiles and fertility outcomes. MATERIALS AND METHODS A comprehensive search was carried out among the English-language databases, including PubMed, Scopus, Cochrane Library, Google Scholar, and Web of Science, and the articles published from April 2010 to February 2019 were tracked down. The fixed and random-effects meta-analysis was used to estimate the pooled effect size. The meta-analysis was performed in Stata Version 14.0. RESULTS Nine studies with 331 patients treated with metformin and 307 patients treated with myo-inositol groups were included in the analysis. The research groups did not diverge significantly in terms of the basic characteristics, such as age and Body Mass Index (BMI). In the myo-inositol group, the levels of Luteinizing Hormone (LH) [12.55% (95% I: 11.41-13.68%)], S. testosterone [44.38% (95% CI: 38.09-50.67%)] and prolactin [7.97% (95% CI: 6.58- 9.37%)] were significantly higher than those recorded, i.e., LH [7.97% (95% CI: 6.58- 9.37%)], S. testosterone [8.48% (95% CI: 3.14-13.83%)] and prolactin [7.14% (95% CI: 1.50-14.79%)] for the metformin group (p<0.001). CONCLUSIONS Due to the dearth of related research and the high heterogeneity of the Randomized Clinical Trials (RCTs) included in other studies, the present systematic review could not establish any differences between metformin and myo-inositol concerning the hormonal profile and the ovarian function. However, the findings indicated that myo-inositol could improve fertility outcomes by modulating hyperandrogenism. Randomized trials are required to understand the mechanistic actions of myo-inositol in comparison with those of metformin regarding oocyte and embryo quality, fertilization, pregnancy, and live birth rates.
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Inhibition of the sodium-glucose co-transporter 2 in the elderly: clinical and mechanistic insights into safety and efficacy.
Cintra, R, Moura, FA, Carvalho, LSF, Barreto, J, Tambascia, M, Pecoits-Filho, R, Sposito, AC
Revista da Associacao Medica Brasileira (1992). 2019;(1):70-86
Abstract
The prevalence of type 2 diabetes mellitus (T2DM) in the elderly grew sharply over the last decade. Reduced insulin sensitivity and secretory capacity, weight gain, sarcopenia, and elevated adiposity are all common metabolic and body changes in the aging population that favor an increased risk of hypoglycemia, frailty syndrome, falls, and cognitive dysfunction. First line antidiabetic therapy is frequently not safe in older individuals because of its high risk of hypoglycemia and prevalent co-morbid diseases, such as chronic kidney disease, osteoporosis, cardiovascular disease, and obesity. Sodium-glucose cotransporter 2 inhibitor (SGLT2i) is a new class of antidiabetic therapy that inhibits glucose and sodium reabsorption on renal proximal convoluted tubule. Its effect is well demonstrated in various clinical scenarios in the younger population. This review and metanalysis describe particularities of the SGLT2i on the elderly, with mechanistic insights of the potential benefit and remaining challenges about the use of these drugs in this important age group. Further, we will present a meta-analysis of the main effects of SGLT2i reported in post-hoc studies in which the median age of the subgroups analyzed was over 60 years. Despite the absence of specific clinical trials for this population, our findings suggest that SGLT2i therapy on older individuals is effective to lower glucose and maintain its effect on systolic blood pressure and body weight.
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Effectiveness of interventions for the reversal of a metabolic syndrome diagnosis: An update of a meta-analysis of mixed treatment comparison studies.
Guzmán, A, Navarro, E, Obando, L, Pacheco, J, Quirós, K, Vásquez, L, Castro, M, Ramírez, F
Biomedica : revista del Instituto Nacional de Salud. 2019;(4):647-662
Abstract
Introduction: Identifying the most effective interventions to reverse the metabolic syndrome can be key in the design of clinical strategies to prevent progression to type 2 diabetes mellitus and cardiovascular disease. Objective: To estimate the effect size of the interventions used for the reversal of metabolic syndrome. Materials and methods: We searched in Embase and Medline databases for randomized clinical trials with an outcome defined as the reversal of the metabolic syndrome diagnosis. We classified the interventions in four dimensions: 1) lifestyle (diet and exercise); 2) pharmaceuticals; 3) a combination of both, and 4) control groups, and we conducted a mixed treatment comparison analysis. Results: Additional to the previous meta-analysis published by Dunkley, et al. in 2012, we dentified two other studies. Lifestyle interventions had 2.61 more chances to achieve the reversal of the metabolic syndrome than the control group, with a credible interval between 1.00 and 5.47. Pharmaceutical treatments showed a 3.39 higher chance of reversing the syndrome compared with the control group, but the credible interval was estimated from 0.81 to 9.99. Lifestyle interventions had 1.59 more chance of reversal than the pharmaceutical treatments. Conclusion: Diet and physical activity-based interventions had a higher probability of effectiveness to reverse a metabolic syndrome diagnosis.
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An investigation into the therapeutic effects of statins with metformin on polycystic ovary syndrome: a meta-analysis of randomised controlled trials.
Sun, J, Yuan, Y, Cai, R, Sun, H, Zhou, Y, Wang, P, Huang, R, Xia, W, Wang, S
BMJ open. 2015;(3):e007280
Abstract
OBJECTIVES To investigate the therapeutic effects of statins with metformin on polycystic ovary syndrome (PCOS). SETTINGS Endocrinology department. PARTICIPANTS MEDLINE, EMBASE and Cochrane Central Register of Controlled Trials were searched until October 2014. Studies comparing statins and placebo, as well as the combination of statins and metformin and metformin alone, were included in the analysis. INTERVENTIONS Data were independently extracted by two researchers; any convergence was resolved by a third reviewer. PRIMARY AND SECONDARY OUTCOME MEASURES The following properties were extracted from the qualified trials to identify the effects of statins: clinical variables, metabolic characteristics, hormone outcomes, sign of inflammation, glucose parameters and insulin outcomes. RESULTS Data from four trials comparing statin and metformin with metformin alone were analysed. The combination of statins and metformin decreases the levels of C reactive protein (standardised mean difference (SMD) -0.91; 95% CI -1.81 to -0.02; p=0.046), triglyceride (SMD -1.37; 95% CI -2.46 to -0.28; p=0.014), total cholesterol (SMD -1.28; 95% CI -1.59 to -0.97; p=0.000) and low-density lipoprotein (LDL) cholesterol (SMD -0.74; 95% CI -1.03 to -0.44; p=0.000). However, the combined therapy fails to reduce fasting insulin (SMD -0.92; 95% CI -2.07 to 0.24; p=0.120), homeostasis model assessment of insulin resistance (SMD -1.15; 95% CI -3.36 to 1.06; p=0.309) and total testosterone (SMD -1.12; 95% CI -2.29 to 0.05; p=0.061). Analysis of the five trials comparing statin with placebo shows that statin monotherapy reduces LDL-cholesterol, triglyceride and total cholesterol. CONCLUSIONS Combined statin and metformin therapy can improve lipid and inflammation parameters, but cannot effectively improve insulin sensitivity and reduce hyperandrogenism in women with PCOS. A large-scale randomised controlled study must be conducted to ascertain the long-term effects of the therapy.