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Prevalence of nephropathy in type 1 diabetes in the Arab world: A systematic review and meta-analysis.

Ussama M Abdel-MotalAkila GEssam M AbdelalimChinnaiyan PonnurajaKhadija IkenMohamed JahromiGeorge Priya Doss CRajaa El BekayHatem Zayed
Published in: Diabetes/metabolism research and reviews (2018)
The aim of this study was to conduct a systematic review and meta-analysis and determine the prevalence of diabetic nephropathy (DN) among Arab patients with T1D. A systematic literature search was conducted using 4 different literature databases (PubMed, ScienceDirect, Web of Science, and Embase) to capture all relevant data about Arab patients with T1D that had DN. Meta-analysis and systematic review were performed using the random effect model, and the heterogeneity of the studies was assessed using the Q-test, I2, and Tau-squared statistics. Publication bias was assessed using the funnel-plot test. Our search strategy captured 372 studies in only 10 out of the 22 Arab countries in a period of 48 years (1969-2017); of which, 41 met our inclusion criteria for full article analysis, of those, 15 were eligible for meta-analysis. We estimated the prevalence of DN among Arab people with T1D to be 18.2% (95% confidence interval 13.1%-24.8%). In conclusion, DN prevalence is underexplored among Arab patients with T1D and represents a significant risk for the well-being of Arab patients with T1D. Therefore, there is an urgent need for comprehensive epidemiological studies for DN among Arab patients with T1D.
Keyphrases
  • systematic review
  • meta analyses
  • case control
  • risk factors
  • type diabetes
  • diabetic nephropathy
  • public health
  • machine learning
  • artificial intelligence
  • deep learning
  • cerebrospinal fluid
  • weight loss