ArticleRisk management and healthcare policy2025
Global Burden of Alzheimer's Disease Attributable to High Fasting Plasma Glucose: Epidemiological Trends and Machine Learning Insights.
Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Divergent trends in Alzheimer's disease burden: a comparative analysis of the US and G20 nations.International journal of public health · 2026Article
- Global burden of disease attributable to high fasting plasma glucose from 1990 to 2021: a spatiotemporal analysis of global burden of disease 2021.Frontiers in cardiovascular medicine · 2026Article
- Global burden of ovarian cancer attributable to high BMI, 1990-2021: spatiotemporal trends, risk factors, frontier analysis, and projections to 2036 based on GBD 2021 study.Journal of ovarian research · 2025Article
- From metabolic dysregulation to neurodegenerative pathology: the role of hyperglycemia, oxidative stress, and blood-brain barrier breakdown in T2D-driven Alzheimer's disease.Metabolic brain disease · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: High fasting plasma glucose (HFPG) is a known risk factor for Alzheimer's disease (AD). This study aims to analyze global trends in AD death rates and disability-adjusted life years (DALYs) rates attributable to HFPG from 1990 to 2021 and assess the potential of glucose-related biomarkers in predicting cognitive impairment. Methods: Data from the Global Burden of Disease 2021 database were used to analyze AD death rates and DALY rates due to HFPG across 204 countries. All rates were age-standardized. Joinpoint regression, age-period-cohort models, and ARIMA were employed to analyze trends and make future predictions. NHANES data were used to build machine learning models (including logistic regression, SVM, random forests, etc). to evaluate glucose-related biomarkers in predicting cognitive impairment. Results: From 1990 to 2019, global AD death rates attributable to HFPG increased from 2.64 (95% UI: 0.11, 8.38) to 3.73 (95% UI: 0.15, 11.84), with the highest increases in high-income North America, North Africa, and Sub-Saharan Africa. DALY rates also rose globally, from 47.07 (95% UI: 2.72, 126.46) to 66.42 (95% UI: 3.83, 178.85). The greatest impact was observed in females, particularly those aged 80 and above. Joinpoint analysis indicated a significant rise in death rates from 1995 to 2000, followed by a slower increase in recent years. ARIMA model predictions indicate a gradual decline in death rates and DALY rates over the next 15 years. Logistic regression models showed the highest accuracy (90.4%) in predicting cognitive impairment, with 2-hour postprandial glucose and fasting plasma glucose being key predictors. Conclusion: From 1990 to 2021, global AD death rates and DALY rates due to HFPG significantly increased, with a greater burden in females and regions with higher socio-demographic development. Machine learning models are effective tools for identifying individuals at high risk of elevated blood glucose leading to cognitive impairment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.