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  1. Yang X, Kord-Varkaneh H, Talaei S, Clark CCT, Zanghelini F, Tan SC, et al.
    Pharmacol Res, 2020 01;151:104588.
    PMID: 31816435 DOI: 10.1016/j.phrs.2019.104588
    BACKGROUND: A meta-analysis is needed to comprehensively consolidate findings from the influence of metformin on IGF-1 levels. The present study was conducted with the objective to accurately evaluate the influence of metformin intake on IGF-1 levels via a meta-analysis of randomized controlled trials.

    METHODS: A comprehensive systematic search was carried out in PubMed/MEDLINE, Web of Science, SCOPUS and Embase from inception until June 2019. Weighted mean difference (WMD) with the 95 % CI were applied for estimating the effects of metformin on serum IGF-1 levels.

    RESULTS: 11 studies involving a total of 569 individuals reported changes in IGF-1 plasma concentrations as an outcome measure. Pooled results demonstrated an overall non-significant decline in IGF-1 following metformin intake (WMD: -8.292 ng/ml, 95 % CI: -20.248, 3.664, p = 0.174) with heterogeneity among (p = 0.000,I2 = 87.1 %). The subgroup analyses displayed that intervention duration <12 weeks on children (WMD:-55.402 ng/ml, 95 % CI: -79.845, -30.960, I2 = 0.0 %) significantly reduced IGF-1. Moreover, in age 18 < years older metformin intake (WMD: 15.125 ng/ml, 95 % CI: 5.522, 24.729, I2 = 92.5 %) significantly increased IGF-1 than 18 ≤ years older (WMD:-1.038 ng/ml, 95 % CI: -3.578,1.502,I2 = 78.0 %). Following dose-response evaluation, metformin intake reduced IGF-1 (coefficient for dose-response analysis= -13.14, P = 0.041 and coefficient for liner analysis= -0.066, P = 0.038) significantly based on treatment duration.

    CONCLUSION: We found in children, intervention duration <12 weeks yielded significant reductions in IGF-1, whilst paradoxically, in participants >18 years old, metformin intake significantly increased IGF-1. We suggest that caution be taken when interpreting the findings of this review, particularly given the discordant supplementation practices between children and adults.

  2. Fatahi S, Nazary-Vannani A, Sohouli MH, Mokhtari Z, Kord-Varkaneh H, Moodi V, et al.
    Crit Rev Food Sci Nutr, 2021;61(20):3383-3394.
    PMID: 32744094 DOI: 10.1080/10408398.2020.1798350
    Inconsistencies exist with regard to influence of fasting and energy-restricting diets on markers of glucose and insulin controls. To address these controversial, this study was conducted to determine the impact of fasting diets on fasting blood sugars (FBSs), insulin, homeostatic model assessment insulin resistance (HOMA-IR) and hemoglobin A1c (HbA1c) levels. A comprehensive systematic search was carried out in electronic databases, i.e., Scopus, PubMed, and Web of Science through June 2019 for RCTs that investigated the impact of fasting and energy-restricting diets on circulating FBS, insulin, HOMA-IR and HbA1c levels from. Weighted mean difference (WMD) with the 95% CI were used for estimating combined effect size. The subgroup analysis was applied to specify the source of heterogeneity among articles. Pooled results from 30 eligible articles with 35 arms demonstrated a significant decrease in FBS (WMD): -3.376 mg/dl, 95% CI: -5.159, -1.594, p 8 weeks had a greater reduction in FBS, insulin and HOMA-IR level compared with other subgroups. The evidence from available studies suggests that the fasting or energy-restricting diets leads to significant reductions in FBS, insulin and HOMA-IR level and has modest, but, non-significant effects on HbA1c levels.
  3. Fang Z, Dang M, Zhang W, Wang Y, Kord-Varkaneh H, Nazary-Vannani A, et al.
    Complement Ther Med, 2020 May;50:102395.
    PMID: 32444054 DOI: 10.1016/j.ctim.2020.102395
    BACKGROUND & OBJECTIVE: Effects of walnut intake on anthropometric measurements have been inconsistent among clinical studies. Thus, we conducted a meta-analysis of randomized clinical trials (RCTs) to evaluate and quantify the effects of walnut intake on anthropometric characteristics.

    METHODS: We carried out a systematic search of all available RCTs up to June 2019 in the following electronic databases: PubMed, Scopus, Web of Science and Google Scholar. Pooled weight mean difference (WMD) of the included studies was estimated using random-effects model.

    RESULTS: A total of 27 articles were included in this meta-analysis, with walnuts dosage ranging from 15 to 108 g/d for 2 wk to 2 y. Overall, interventions with walnut intake did not alter waist circumference (WC) (WMD: -0.193 cm, 95 % CI: -1.03, 0.64, p = 0.651), body weight (BW) (0.083 kg, 95 % CI: -0.032, 0.198, p = 0.159), body mass index (BMI) (WMD: -0.40 kg/m,295 % CI: -0.244, 0.164, p = 0.703), and fat mass (FM) (WMD: 0.28 %, 95 % CI: -0.49, 1.06, p = 0.476). Following dose-response evaluation, reduced BW (Coef.= -1.62, p = 0.001), BMI (Coef.= -1.24, p = 0.041) and WC (Coef.= -5.39, p = 0.038) were significantly observed through walnut intake up to 35 g/day. However, the number of studies can be limited as to the individual analysis of the measures through the dose-response fashion.

    CONCLUSIONS: Overall, results from this meta-analysis suggest that interventions with walnut intake does not alter BW, BMI, FM, and WC. To date, there is no discernible evidence to support walnut intake for improving anthropometric indicators of weight loss.

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