ArticleAmerican journal of Alzheimer's disease and other dementias
Longitudinal Sensitivity of Alzheimer's Disease Severity Staging.
Article in American journal of Alzheimer's disease and other dementias. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Development and human samples validation of a plasma pTau‑217 electrochemical sensor for Alzheimer's detection in Vietnamese patients.Mikrochimica acta · 2026Article
- Alzheimer's disease prediction algorithm based on hippocampal longitudinal hybrid morphological features.Quantitative imaging in medicine and surgery · 2026Article
- Article
- Efficacy and predictors of cognitive stimulation therapy combined with pharmacotherapy for mild-to-moderate Alzheimer's disease: a randomized controlled trial.Frontiers in psychiatry · 2026Article
- Baseline facial emotion recognition is associated with clinical decline across the Alzheimer's disease spectrum: a multi-instrument longitudinal assessment study.Frontiers in aging neuroscience · 2026Article
- Multidomain therapy for Alzheimer's disease: a scoping review of cognitive decline trials.Molecular neurodegeneration · 2025Article
- Article
- Plasma S100β is a predictor for pathology and cognitive decline in Alzheimer's disease.Fluids and barriers of the CNS · 2025Article
- Network analysis of cognition and function in Alzheimer's disease: a cross-sectional study.Frontiers in psychiatry · 2025Article
- T lymphocyte proportion in Alzheimer's disease prognosis.World journal of clinical cases · 2024Article
- Cross-National Analysis of the Associations Between Familism and Self-Efficacy in Family Caregivers of People With Dementia: Effects on Burden and Depression.Journal of aging and health · 2024Article
- Application of a Novel Endpoint Staging Framework: Proof of Concept in the AMBAR Study.Journal of Alzheimer's disease : JAD · 2024Article
- The Use of F-18 FDG PET-Based Cognitive Reserve to Evaluate Cognitive Decline in Alzheimer's Disease, Independent of Educational Influence.Medicina (Kaunas, Lithuania) · 2023Article
- OViTAD: Optimized Vision Transformer to Predict Various Stages of Alzheimer's Disease Using Resting-State fMRI and Structural MRI Data.Brain sciences · 2023Article
- The correlation of retinal neurodegeneration and brain degeneration in patients with Alzheimer's disease using optical coherence tomography angiography and MRI.Frontiers in aging neuroscience · 2023Article
- A Novel Coupling Model of Physiological Degradation and Emotional State for Prediction of Alzheimer's Disease Progression.Brain sciences · 2022Article
- Automated Early Detection of Alzheimer's Disease by Capturing Impairments in Multiple Cognitive Domains with Multiple Drawing Tasks.Journal of Alzheimer's disease : JAD · 2022Article
- Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer's Disease and Mild Cognitive Impairment.Journal of Alzheimer's disease : JAD · 2021Article
- Diagnosis of Alzheimer's Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN).Computational and mathematical methods in medicine · 2021Article
- Effect of mortality in cost-effectiveness modeling of disease-modifying treatment for Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding Alzheimer's disease (AD) dynamics is essential in diagnosis and measuring progression for clinical decision-making; however, clinical instruments are imperfect at classifying true disease stages. This research evaluates sensitivity and determinants of AD stage changes longitudinally using current classifications of "mild," "moderate," and "severe" AD, using Mini-Mental State Examination (MMSE), Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog), and the Clinical Dementia Rating-Sum of Boxes (CDR-SB) thresholds. Age and pre-progression rate were significant determinants of AD progression using MMSE alone to stage AD, and pre-progression was found to impact disease progression with CDR-SB. Sensitivity of these instruments for identifying clinical stages of AD to correctly staging a "moderate" level of disease severity for outcomes MMSE, CDR-SB, and ADAS-Cog was 92%, 78%, and 92%, respectively. This research derives longitudinal sensitivity of clinical instruments used to stage AD useful for clinical decision-making. The MMSE and ADAS-Cog provided adequate sensitivity to classify AD stages.
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