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The effects of folate supplementation on lipid profiles among patients with metabolic diseases: A systematic review and meta-analysis of randomized controlled trials.
Tabrizi, R, Lankarani, KB, Akbari, M, Naghibzadeh-Tahami, A, Alizadeh, H, Honarvar, B, Sharifi, N, Mazoochi, M, Ostadmohammadi, V, Fatholahpour, A, et al
Diabetes & metabolic syndrome. 2018;(3):423-430
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Abstract
BACKGROUND AND OBJECTIVE Although several studies have assessed the effect of folate supplementation on lipid profiles among patients with metabolic diseases, findings are inconsistent. This review of randomized controlled trials (RCTs) was conducted to summarize the evidence on the effects of folate supplementation on lipid profiles among patients with metabolic diseases. METHODS Randomized-controlled trials (RCTs) published in PubMed, EMBASE, Web of Science and Cochrane Library databases up to until 20 August 2017 were searched. Two review authors independently assessed study eligibility, extracted data, and evaluated risk of bias of included studies. Heterogeneity was measured with a Q-test and with I2 statistics. Data were pooled by using the fix or random-effect model based on the heterogeneity test results and expressed as standardized mean difference (SMD) with 95% confidence interval (CI). RESULTS A total of thirteen randomized controlled trials were included. Folate supplementation did not affect systolic blood pressure (SMD -0.87; 95% CI, -1.83, 0.09) and diastolic blood pressure (SMD -0.59; 95% CI, -1.55, 0.37), and lipid profiles including triglycerides (SMD 0.10; 95% CI, -0.42, 0.63), total- (SMD 0.06; 95% CI, -0.31, 0.43), HDL- (SMD 0.04; 95% CI, -0.36, 0.44), VLDL- (SMD 0.08; 95% CI, -0.24, 0.41), and LDL-cholesterol (SMD -0.14; 95% CI, -0.55, 0.28). CONCLUSIONS Folate supplementation did not affect blood pressures and lipid profiles among patients with metabolic diseases. Additional prospective studies regarding the impact of folate supplementation on blood pressures and lipid profiles in patients with metabolic diseases are necessary.
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Inositol treatment of anovulation in women with polycystic ovary syndrome: a meta-analysis of randomised trials.
Pundir, J, Psaroudakis, D, Savnur, P, Bhide, P, Sabatini, L, Teede, H, Coomarasamy, A, Thangaratinam, S
BJOG : an international journal of obstetrics and gynaecology. 2018;(3):299-308
Abstract
UNLABELLED Polycystic ovary syndrome is a common cause of anovulation and infertility, and a risk factor for development of metabolic syndrome and endometrial cancer. Systematic review and meta-analysis of randomised controlled trials (RCT) that evaluated the effects of inositol as an ovulation induction agent. We searched MEDLINE, EMBASE, Cochrane and ISI conference proceedings, Register and Meta-register for RCT and WHO trials' search portal. We included studies that compared inositol with placebo or other ovulation induction agents. Quality of studies was assessed for risk of bias. Results were pooled using random effects meta-analysis and findings were reported as relative risk or standardised mean differences. We included ten randomised trials. A total of 362 women were on inositol (257 on myo-inositol; 105 on di-chiro-inositol), 179 were on placebo and 60 were on metformin. Inositol was associated with significantly improved ovulation rate (RR 2.3; 95% CI 1.1-4.7; I2 = 75%) and increased frequency of menstrual cycles (RR 6.8; 95% CI 2.8-16.6; I2 = 0%) compared with placebo. One study reported on clinical pregnancy rate with inositol compared with placebo (RR 3.3; 95% CI 0.4-27.1), and one study compared with metformin (RR 1.5; 95% CI 0.7-3.1). No studies evaluated live birth and miscarriage rates. Inositol appears to regulate menstrual cycles, improve ovulation and induce metabolic changes in polycystic ovary syndrome; however, evidence is lacking for pregnancy, miscarriage or live birth. A further, well-designed multicentre trial to address this issue to provide robust evidence of benefit is warranted. TWEETABLE ABSTRACT Inositols improve menstrual cycles, ovulation and metabolic changes in polycystic ovary syndrome.