Randomized trial validates the Glycation Corrosion Index in CGM datasets, suggesting improved glycemic control assessment.
This study provides external validation of the Arithmetic Orbit Trajectory (AOT) Glycation Corrosion Index (GCI) framework using two large, independent, publicly available JAEB randomized controlled trial CGM datasets: Replace-BG (NCT02258373, n=216, 14.8M CGM readings) and RT-CGM RCT (JDRF CGM Study, n=441, 16.7M CGM readings). Total n=657, 31.5M CGM readings. GCI = max(GMI - 5.7, 0), where GMI is derived from mean CGM glucose. The AOT framework maps CGM integer values to GF(2^8) multiplicative orders, identifying stable metabolic states (Z/15Z, 15 values) and algebraic transition points (Sylow-17 subgroup, 16 values, including 99 mg/dL). Key findings: (1) GCI vs HbA1c Pearson r=0.771 (p=1.8e-130), R2=0.594, combined; (2) Universal formula: HbA1c = 5.643 + 1.054 x GCI (consistent across both datasets); (3) GCI outperforms TIR by Delta-r=+0.042; (4) Sylow-17 ratio r=-0.477 with HbA1c, validating algebraic interpretation; (5) Monotonic HbA1c increase across GCI quartiles (Q1: 6.52% to Q4: 7.97%). Data obtained from JAEB Center for Health Research public repository (public.jaeb.org). Analysis performed in Python 3 (pandas, scipy, scikit-learn). AOT framework: Zenodo DOI 10.5281/zenodo.20476973. GCI framework: Zenodo DOI 10.5281/zenodo.20476849.
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Yao-Kai Kao (2026) studied this question.
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