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October 3, 2025Clinical review for general practiceOpen Access

Clustering of diabetes: implications for personalized treatment

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Authors

KAKhaled A. Abdel-Sater

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Overview

This review evaluates the five-cluster model of diabetes, highlighting its impact on personalized treatment and complications.

Key Points

  • The five-cluster model improves treatment efficacy and customization for diabetes patients.
  • Specific clusters like SIRD show a higher association with nephropathy, while SAID and SIDD face more complications.
  • Validation studies reveal ethnic disparities in diabetes cluster prevalence, notably between South Asians and African cohorts.
  • The model supports precision medicine by aligning therapies with individual metabolic profiles.

Cite This Study

Khaled A. Abdel-Sater (2025) studied this question.

synapsesocial.com/papers/68e02f3cf0e39f13e7fa2439https://doi.org/10.47407/kr2025.6.5.00616
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Unveiling the heterogeneity of T2DM: a narrative review of clustering algorithms in stratifying comorbidity and complication risk2026
  2. 2Unsupervised Cluster Analysis of Diabetes Mellitus: A Systemic Review from Eastern Indian Population2025
  3. 3Data-driven Cluster Analysis Reveals Distinct Diabetes Subtypes in Black/African Americans in the United States2024 · 1 citations
  4. 4Phenotypic clustering of newly diagnosed type 2 diabetes in a Mediterranean cohort2026
  5. 5Developing Research for Five Subtypes of Diabetes with Specific Characteristics2024