scholarly journals Effects of lorcaserin on cardiometabolic risk factors in overweight and obese patients: A systematic review and meta‐analysis

2019 ◽  
Vol 45 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Hsiao‐Huai Kuo ◽  
Kuang‐Te Wang ◽  
Ying‐Hsiang Lee ◽  
Po‐Lin Lin ◽  
Ming‐En Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Cardiometabolic Risk Factors ◽  
Obese Patients

Dietary acid load and cardiometabolic risk factors: a systematic review and meta-analysis of observational studies

2019 ◽  
Vol 22 (15) ◽  
pp. 2823-2834 ◽  
Author(s):  
Elnaz Daneshzad ◽  
Fahimeh Haghighatdoost ◽  
Leila Azadbakht
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Blood Pressure ◽  
Observational Studies ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Cardiometabolic Risk Factors ◽  
Cross Sectional ◽  
Dietary Acid ◽  
Acid Load

AbstractObjective:Dietary acid load (DAL) might contribute to change the levels of cardiometabolic risk factors; however, the results are conflicting. The present review was conducted to determine the relationship between DAL and cardiometabolic risk factors.Design:Systematic review and meta-analysis.Setting:A systematic search was conducted in electronic databases including ISI Web of Science, PubMed/MEDLINE, Scopus and Google Scholar for observational studies which assessed cardiometabolic risk factors across DAL. Outcomes were lipid profile, glycaemic factors and anthropometric indices. Effect sizes were derived using a fixed- or random-effect model (DerSimonian–Laird). Also, subgroup analysis was performed to find the probable source of heterogeneity. Egger’s test was performed for finding any publication bias.Results:Thirty-one studies were included in the current review with overall sample size of 92 478. There was a significant relationship between systolic blood pressure (SBP; weighted mean difference (WMD) = 1·74 (95 % CI 0·25, 3·24) mmHg;P= 0·022;I2= 95·3 %), diastolic blood pressure (DBP; WMD = 0·75 (95 % CI 0·07, 1·42) mmHg;P= 0·030;I2= 80·8 %) and DAL in cross-sectional studies. Serum lipids, glycaemic parameters including fasting blood sugar, glycated Hb, serum insulin, homeostatic model assessment of insulin resistance and waist circumference had no significant relationship with DAL. No publication bias was found. BMI was not associated with DAL in both cross-sectional and cohort studies.Conclusions:Higher DAL is associated with increased SBP and DBP. More studies are needed to find any relationship of DAL with lipid profile and glycaemic factors.

scholarly journals Neck circumference and its association with cardiometabolic risk factors: a systematic review and meta-analysis

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Asal Ataie-Jafari ◽  
Nazli Namazi ◽  
Shirin Djalalinia ◽  
Pouria Chaghamirzayi ◽  
Mohammad Esmaeili Abdar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Neck Circumference ◽  
Cardiometabolic Risk Factors

scholarly journals Correction to: Association of dietary inflammatory potential with cardiometabolic risk factors and diseases: a systematic review and dose–response meta-analysis of observational studies

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Zahra Aslani ◽  
Omid Sadeghi ◽  
Motahar Heidari-Beni ◽  
Hoda Zahedi ◽  
Fereshteh Baygi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Dose Response ◽  
Observational Studies ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Cardiometabolic Risk Factors

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Cardiometabolic risk factors in young people at ultra-high risk for psychosis: A systematic review and meta-analysis

2016 ◽  
Vol 170 (2-3) ◽  
pp. 290-300 ◽  
Author(s):  
Rebekah Carney ◽  
Jack Cotter ◽  
Tim Bradshaw ◽  
Joseph Firth ◽  
Alison R. Yung
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
High Risk ◽  
Young People ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Cardiometabolic Risk Factors ◽  
Ultra High Risk

scholarly journals Effect of glutamine supplementation on cardiometabolic risk factors and inflammatory markers: a systematic review and meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Motahareh Hasani ◽  
Asieh Mansour ◽  
Hamid Asayesh ◽  
Shirin Djalalinia ◽  
Armita Mahdavi Gorabi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Inflammatory Markers ◽  
Cardiometabolic Risk ◽  
Meta Analysis ◽  
Metabolic Risk Factors ◽  
Cardiometabolic Risk Factors ◽  
Glutamine Supplementation ◽  
Cochrane Library ◽  
Metabolic Risk

Abstract Background Evidence exists that glutamine plays multiple roles in glucose metabolism, insulin sensitivity, and anti-inflammatory effects. This systematic review and meta-analysis of controlled trials aimed to assess the effect of glutamine supplementation on cardio-metabolic risk factors and inflammatory markers. Methods The processes of systematic reviews and meta-analyses were performed according to the PRISMA checklist. PubMed, Web of Sciences, Cochrane library, and Scopus databases were search for relevant studies without time or language restrictions up to December 30, 2020. All randomized clinical trials which assessed the effect of glutamine supplementation on “glycemic indices”, “level of triglyceride, “and “inflammatory markers” were included in the study. The effect of glutamine supplementation on cardio-metabolic risk factors and inflammatory markers was assessed using a standardized mean difference (SMD) and 95% confidence interval (CI). Heterogeneity between among studies was assessed using Cochran Q-statistic and I-square. Random/fixed-effects meta-analysis method was used to estimate the pooled SMD. The risk of bias for the included trials was evaluated using the Cochrane quality assessment tool. Results In total, 12 studies that assessed the effect of glutamine supplementation on cardio-metabolic risk factors were included in the study. Meta-analysis showed that glutamine supplementation significantly decreased significantly serum levels of FPG [SMD: − 0.73, 95% CI − 1.35, − 0.11, I2: 84.1%] and CRP [SMD: − 0.58, 95% CI − 0.1, − 0.17, I2: 0%]. The effect of glutamine supplementation on other cardiometabolic risk factors was not statistically significant (P > 0.05). Conclusion Our findings showed that glutamine supplementation might have a positive effect on FPG and CRP; both of which are crucial as cardio-metabolic risk factors. However, supplementation had no significant effect on other cardio-metabolic risk factors.

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