Effect of Fenugreek on Hyperglycemia: A Systematic Review and Meta-Analysis.
Muhammed ShabilGanesh BushiPavan Kalyan BodigePavan Sagar MaradiBibhu Prasad PatraBijaya Kumar PadhiJagdish KhubchandaniPublished in: Medicina (Kaunas, Lithuania) (2023)
Fenugreek is used for medicinal purposes in various traditions. Some studies have demonstrated that the seeds of this plant may have an anti-diabetic effect by lowering fasting blood sugar levels and improving glucose tolerance. We conducted a systematic review of the hypoglycemic effects of fenugreek. An electronic literature search was carried out in the PubMed, Google Scholar, Scopus, and Cochrane Library databases through 18 November 2022 to find trials that assessed fasting blood glucose, postprandial blood glucose, and HbA1c changes in participants treated with fenugreek and in the control group. The mean difference with 95% confidence intervals (CI) was calculated to represent the analysis. Fourteen trials, consisting of 894 participants, were included in the meta-analysis. The results showed a reduction in fasting blood glucose levels (MD: 3.70, 95% CI of -27.02, 19.62; p = 0.76), postprandial blood glucose (MD: -10.61, 95% CI of -68.48, 47.26; p = 0.72), and HbA1c (MD: -0.88, 95% CI -1.49, -0.27; p = 0.00) with fenugreek consumption. While this review and included trials that found beneficial effects of fenugreek consumption on glycemic control, the quality and heterogeneity of studies remain a concern. Given the wider availability and lower cost of fenugreek, rigorous double-blinded randomized controlled trials should be conducted with fenugreek to understand its true potential as a diabetes control herbal agent.
Keyphrases
- blood glucose
- glycemic control
- type diabetes
- systematic review
- blood pressure
- weight loss
- randomized controlled trial
- case control
- molecular dynamics
- cardiovascular disease
- clinical trial
- adipose tissue
- machine learning
- risk assessment
- skeletal muscle
- single cell
- big data
- artificial intelligence
- oxidative stress
- quality improvement
- data analysis
- newly diagnosed