Glycation Corrosion Index (GCI) for Modeling Cumulative Glycemic Exposure and Multi-Organ Diabetic Complication Risk: A Mathematical Framework with Lo-Shu Spatial Visualization and NHANES-Based Exploratory Analysis

v2 (peer-review revised). Key changes: (1) Title revised to 'exploratory analysis'; (2) Lo-Shu repositioned as visualization scaffold only, not causal claim; (3) k_i derivation table with DCCT/EDIC + UKPDS sources added; (4) Full logistic regression: HbA1c OR=1.09 p=0.557 (ns), Age OR=1.74 p=0.0005 (***), Sex(M) OR=1.92 p<0.0001; (5) Bootstrap 95% CI for all HbA1c strata; (6) Cochran-Armitage trend test Z=0.91 p=0.363; (7) Null result reframed: cross-sectional HbA1c failure motivates IGCI. Core framework: GCI=max(HbA1c-5.7,0), IGCI=integral(GCI)dt, dD_i/dt = k_i*GCI - r_i*D_i for nine organ systems.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-31
DOI
https://doi.org/10.5281/zenodo.20476849
Primary Topic
Advanced Glycation End Products research
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Glycation Corrosion Index (GCI) for Modeling Cumulative Glycemic Exposure and Multi-Organ Diabetic Complication Risk: A Mathematical Framework with Lo-Shu Spatial Visualization and NHANES-Based Exploratory Analysis

Yao-Kai Kao
Zenodo (CERN European Organization for Nuclear Research)
Advanced Glycation End Products research
preprint

Glycation Corrosion Index (GCI) for Modeling Cumulative Glycemic Exposure and Multi-Organ Diabetic Complication Risk: A Mathematical Framework with Lo-Shu Spatial Visualization and NHANES-Based Exploratory Analysis

Yao-Kai Kao
preprint en

Abstract

v2 (peer-review revised). Key changes: (1) Title revised to 'exploratory analysis'; (2) Lo-Shu repositioned as visualization scaffold only, not causal claim; (3) k_i derivation table with DCCT/EDIC + UKPDS sources added; (4) Full logistic regression: HbA1c OR=1.09 p=0.557 (ns), Age OR=1.74 p=0.0005 (***), Sex(M) OR=1.92 p<0.0001; (5) Bootstrap 95% CI for all HbA1c strata; (6) Cochran-Armitage trend test Z=0.91 p=0.363; (7) Null result reframed: cross-sectional HbA1c failure motivates IGCI. Core framework: GCI=max(HbA1c-5.7,0), IGCI=integral(GCI)dt, dD_i/dt = k_i*GCI - r_i*D_i for nine organ systems.

Zenodo (CERN European Organization for Nuclear Research)
Allen Institute for Brain Science (US)
Advanced Glycation End Products research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.