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Divergence in prediabetes guidelines - A global perspective.
Gupta Pragati1, Pozzilli Paolo2
1Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Global prediabetes diagnostic guidelines differ due to varying tests and population factors. Harmonizing criteria, potentially with new tests like the 1-hour plasma glucose (1-h PG) test, is crucial for consistent identification and prevention.
Area of Science:
- Endocrinology
- Public Health
- Clinical Diagnostics
Background:
- Global prediabetes diagnostic guidelines exhibit significant variation.
- Discrepancies stem from diverse healthcare priorities, population characteristics, and resource availability.
- International organizations like WHO, EASD, ADA, and IDF use differing criteria.
Purpose of the Study:
- To analyze the heterogeneity in global prediabetes diagnostic guidelines.
- To identify challenges posed by these discrepancies for research, policy, and care.
- To explore potential solutions for improved diagnostic consistency.
Main Methods:
- Comparative analysis of diagnostic criteria from major international organizations (WHO, EASD, SID, ADA, IDF, Diabetes UK, CDS).
- Evaluation of diagnostic tests including oral glucose tolerance test (OGTT), fasting plasma glucose (FPG), and glycated haemoglobin (HbA1c).
- Consideration of ethnic variability in glucose metabolism and its impact on diagnostic tools.
Main Results:
- Significant differences exist in prediabetes definitions and diagnostic criteria across major global health organizations.
- Variations in diagnostic tests (OGTT, FPG, HbA1c), prevalence estimates, and screening policies contribute to discrepancies.
- Ethnic variability impacts the performance of diagnostic tools like HbA1c, complicating standardization.
Conclusions:
- Heterogeneity in prediabetes diagnosis challenges global research, policy-making, and equitable healthcare access.
- Emerging approaches like the 1-hour plasma glucose (1-h PG) test show promise for diagnostic consistency.
- A hybrid model integrating universal standards with population-specific adaptations may enhance global prediabetes identification and prevention strategies.
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