Letter response to Clifford et al. "Navigating late-stage dementia: A perspective from the Alzheimer's Association".

IF 4 Q1 CLINICAL NEUROLOGY Alzheimer''s and Dementia: Diagnosis, Assessment and Disease Monitoring Pub Date : 2024-10-10 eCollection Date: 2024-10-01 DOI:10.1002/dad2.70014
Stanley Arnold Terman, Karl E Steinberg, Thaddeus Mason Pope
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对 Clifford 等人 "驾驭晚期痴呆症:阿尔茨海默氏症协会的观点"。
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来源期刊
CiteScore
7.80
自引率
7.50%
发文量
101
审稿时长
8 weeks
期刊介绍: Alzheimer''s & Dementia: Diagnosis, Assessment & Disease Monitoring (DADM) is an open access, peer-reviewed, journal from the Alzheimer''s Association® that will publish new research that reports the discovery, development and validation of instruments, technologies, algorithms, and innovative processes. Papers will cover a range of topics interested in the early and accurate detection of individuals with memory complaints and/or among asymptomatic individuals at elevated risk for various forms of memory disorders. The expectation for published papers will be to translate fundamental knowledge about the neurobiology of the disease into practical reports that describe both the conceptual and methodological aspects of the submitted scientific inquiry. Published topics will explore the development of biomarkers, surrogate markers, and conceptual/methodological challenges. Publication priority will be given to papers that 1) describe putative surrogate markers that accurately track disease progression, 2) biomarkers that fulfill international regulatory requirements, 3) reports from large, well-characterized population-based cohorts that comprise the heterogeneity and diversity of asymptomatic individuals and 4) algorithmic development that considers multi-marker arrays (e.g., integrated-omics, genetics, biofluids, imaging, etc.) and advanced computational analytics and technologies.
期刊最新文献
Everyday functioning as a predictor of cognitive status in a group of community-dwelling, predominantly Black adults. Elevated tau in the piriform cortex in Alzheimer's but not Parkinson's disease using PET-MR. A data-driven, multi-domain brain gray matter signature as a powerful biomarker associated with several clinical outcomes. Association of a pace of aging epigenetic clock with rate of cognitive decline in the Framingham Heart Study Offspring Cohort. Association of circulating ketone bodies with cognitive performance and dementia in the Multi-Ethnic Study of Atherosclerosis (MESA).
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