ArticleAlzheimer disease and associated disorders
The BIOCARD Index: A Summary Measure to Predict Onset of Mild Cognitive Impairment.
Article in Alzheimer disease and associated disorders. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-domain prognostic models used in middle-aged adults without known cognitive impairment for predicting subsequent dementia.The Cochrane database of systematic reviews · 2023Pooled it
- PARP1 deficiency mitigates amyloid pathology, neurodegeneration, and cognitive decline in a familial Alzheimer's disease model.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Evaluating the association of apolipoprotein E genotype and cognitive resilience in SuperAgers.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Poly(ADP-ribose) Polymerase 1 Deficiency Attenuates Amyloid Pathology, Neurodegeneration, and Cognitive Decline in a Familial Alzheimer's Disease Model.bioRxiv : the preprint server for biology · 2025Article
- The dynamics of cognitive decline toward Alzheimer's disease progression: Results from ADSP-PHC's harmonized cognitive composites.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Characterizing patterns of diffusion tensor imaging variance in aging brains.medRxiv : the preprint server for health sciences · 2024Article
- Characterizing patterns of diffusion tensor imaging variance in aging brains.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Disentangling sex-dependent effects of APOE on diverse trajectories of cognitive decline in Alzheimer's disease.NeuroImage · 2024Article
- DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images.Neuroinformatics · 2024Article
- Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Predicting Age from White Matter Diffusivity with Residual Learning.Proceedings of SPIE--the International Society for Optical Engineering · 2024Article
- Evaluation of Mean Shift, ComBat, and CycleGAN for Harmonizing Brain Connectivity Matrices Across Sites.ArXiv · 2024Article
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- Workshop on Synergies Between Alzheimer's Research and Clinical Gerontology and Geriatrics: Current Status and Future Directions.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018Review
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10 authors.
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Abstract
backgroundChanges in neuropsychological testing, neuroimaging, and cerebrospinal fluid may precede mild cognitive impairment (MCI). However, these markers are not routinely performed in outpatient clinical visits.
objectiveTo evaluate whether a simple clinical index, consisting of questions given to patients and their informants, could predict the onset of symptoms of MCI among cognitively normal individuals. MATERIALS AND
methodsTwo hundred twenty-two participants in the BIOCARD study received a detailed history, physical examination, and neuropsychological testing annually. An index was calculated by including questions about memory problems, depression, age, education, history of cerebrovascular disease risk factors, and brain injury, family history of dementia, and the Mini-Mental State examination score. Cox regression analyses were used to determine if this index score was related to diagnosis of MCI.
resultsThe BIOCARD Index score mean for individuals who progressed to MCI was 20.3 (SD=2.9), whereas the score for individuals who remained normal was 24.8 (SD=2.3) (P<0.001) [hazard ratio, SE for subsequent diagnosis of MCI=0.75 (0.67 to 0.84); P<0.001].
conclusionsLower BIOCARD Index score predicted symptoms of MCI several years before the MCI diagnosis. The BIOCARD Index can be easily used in clinics to identify cognitively normal older individuals who are at risk for deterioration.
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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.