Fasting insulin predicts an insulin resistance: A meta analysis using western countries data

Journal Title: Medpulse International Journal of Biochemistry - Year 2018, Vol 5, Issue 1

Abstract

Background: The American Diabetes Association included hemoglobin A1c (HbA1c) as adiagnostic test for diabetes in their 2010 clinical practice recommendations Aims and Objectives: To study Fasting insulin and insulin resistance in a meta analysis using western countries data. Methodology: This meta-analysis involves non diabetic individual with fasting insulin level in western population form 44 years i.e. 1973 to 2017 published studies related to western world. In total 23222 population was studied; for selecting these article various search engines like PubMed, Medline, Mendlay Library, Cochrane Library, Embase search, Google Scholar, Index Copernicus, Science Direct with key words Hyperinsulinemia, Syndrome X, Type II Diabetes. Statistical analysis done by Comprehensive Metanalysis software. Result: There was statistically significant co-relation between Fasting plasma insulin level and insulin resistance in the western population the overall fixed effect result of our study was with co-relation of (95% CI) was -0.044 (-0.057 to -0.031) with Z=-6.74, p<0.000 Conclusion: It can be concluded from our study that there was statistically significant co-relation between Fasting plasma insulin level and insulin resistance in the western population so this criteria can be used to diagnose insulin resistance and early diagnosis of insulin resistance.

Authors and Affiliations

Kavindra Borgaonkar, Ranjit Patil, Pradeep Benjarge

Keywords

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  • EP ID EP485926
  • DOI 10.26611/1002515
  • Views 145
  • Downloads 0

How To Cite

Kavindra Borgaonkar, Ranjit Patil, Pradeep Benjarge (2018). Fasting insulin predicts an insulin resistance: A meta analysis using western countries data. Medpulse International Journal of Biochemistry, 5(1), 22-25. https://europub.co.uk/articles/-A-485926