ReviewJournal of personalized medicine2020
Biomarkers for Alzheimer's Disease Early Diagnosis.
Review in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 5 of them syntheses that pooled it.
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
64 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Cost-effectiveness of testing biofluid biomarkers to diagnose Alzheimer's disease: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Pooled it
- Limited generalizability and high risk of bias in multivariable models predicting conversion risk from mild cognitive impairment to dementia: A systematic review.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- GFAP as a Potential Biomarker for Alzheimer's Disease: A Systematic Review and Meta-Analysis.Cells · 2023Pooled it
- Tear Biomarkers in Alzheimer's and Parkinson's Diseases, and Multiple Sclerosis: Implications for Diagnosis (Systematic Review).International journal of molecular sciences · 2022Pooled it
- Machine Learning and Novel Biomarkers for the Diagnosis of Alzheimer's Disease.International journal of molecular sciences · 2021Pooled it
- Theranostic Innovative Strategies for Brain Diseases: New Insights on Neurovascular Unit-Associated Pathological Changes in Neurodegenerative Disorders and Aging.International journal of molecular sciences · 2026Review
- Hydrogels: current biomedical applications and future directions.Molecular biomedicine · 2026Review
- Microglial synaptic pruning in early Alzheimer's disease: emerging roles of the IL-1β-NLRP3 axis.Inflammopharmacology · 2026Review
- Plasma-based neurobiological protein biomarkers as predictors of dementia progression: Insights from longitudinal aging study in India - Diagnostic assessment of dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Exploring molecular pathways in Alzheimer's disease neurodegeneration using biomarkers.Bioinformation · 2026Article
- The Role of Extracellular Vesicles in Neuropsychiatric Disorders.Advanced pharmaceutical bulletin · 2025Review
- Article
- Cross-Sectional and Longitudinal Associations of Neighborhood Disadvantage With Fluid Biomarkers of Neuroinflammation and Neurodegeneration.Neurology · 2025Article
- Anticipated Responses to Genetic Testing for Alzheimer's Disease Susceptibility among Latinos in Northern Manhattan.Journal of community health · 2025Article
- Assessment of individual retinal layer thickness and vascular changes in Alzheimer's disease.Scientific reports · 2025Article
- Emerging Role of Mesenchymal Stromal Cell and Exosome Therapies in Treating Cognitive Impairment.Pharmaceutics · 2025Review
- Genomic and Transcriptomic Approaches Advance the Diagnosis and Prognosis of Neurodegenerative Diseases.Genes · 2025Review
- Modulating Neuroinflammation as a Prospective Therapeutic Target in Alzheimer's Disease.Cells · 2025Review
- AlzGenPred - CatBoost-based gene classifier for predicting Alzheimer's disease using high-throughput sequencing data.Scientific reports · 2024Article
- Exploring the Perspectives of Older Adults on a Digital Brain Health Platform Using Natural Language Processing: Cohort Study.JMIR formative research · 2024Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Alzheimer's disease (AD) is the most common cause of dementia, affecting the central nervous system (CNS) through the accumulation of intraneuronal neurofibrillary tau tangles (NFTs) and β-amyloid plaques. By the time AD is clinically diagnosed, neuronal loss has already occurred in many brain and retinal regions. Therefore, the availability of early and reliable diagnosis markers of the disease would allow its detection and taking preventive measures to avoid neuronal loss. Current diagnostic tools in the brain, such as magnetic resonance imaging (MRI), positron emission tomography (PET) imaging, and cerebrospinal fluid (CSF) biomarkers (Aβ and tau) detection are invasive and expensive. Brain-secreted extracellular vesicles (BEVs) isolated from peripheral blood have emerged as novel strategies in the study of AD, with enormous potential as a diagnostic evaluation of therapeutics and treatment tools. In addition; similar mechanisms of neurodegeneration have been demonstrated in the brain and the eyes of AD patients. Since the eyes are more accessible than the brain, several eye tests that detect cellular and vascular changes in the retina have also been proposed as potential screening biomarkers. The aim of this study is to summarize and discuss several potential markers in the brain, eye, blood, and other accessible biofluids like saliva and urine, and correlate them with earlier diagnosis and prognosis to identify individuals with mild symptoms prior to dementia.
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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 Socratic graph.