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相关概念视频

Dementia01:30

Dementia

498
Dementia is a collective term for cognitive disorders primarily affecting memory, thinking, and reasoning. It is not a specific disease but a syndrome, with Alzheimer's disease being the most common cause, accounting for approximately 60-80% of cases. Other types include vascular dementia, Lewy body dementia, and frontotemporal dementia. Dementia affects millions worldwide, particularly older adults, though it is not a normal part of aging.
The progression of dementia is generally gradual....
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Alzheimer's Disease: Overview01:26

Alzheimer's Disease: Overview

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Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...
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Longitudinal Studies01:26

Longitudinal Studies

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Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Data Collection II01:29

Data Collection II

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Observational Studies01:11

Observational Studies

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
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相关实验视频

Updated: Jan 10, 2026

The 4 Mountains Test: A Short Test of Spatial Memory with High Sensitivity for the Diagnosis of Pre-dementia Alzheimer's Disease
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痴呆症数据景观 1. 痴呆症数据景观 群体组合 (cohort) 是一个群体.

Amelia Morgan1, Conor Durkin1, Benjamin Tari1

  • 1Dementias Platform UK, Department of Psychiatry, University of Oxford, Oxford, UK.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|November 21, 2025
PubMed
概括

这项研究确定了全球883个痴呆症队列,揭示了大量可重复使用的数据. 需要的关键改进包括元数据透明度和数据可访问性,特别是对于像全球南方这样的代表性不足的地区.

关键词:
阿尔茨海默病的疾病阿尔茨海默病的疾病.在 C-Surv 找临床队列的临床队列队列研究是一项队列研究.数据访问数据的访问.数据表征数据的表征.数据景观数据景观数据重新使用,重新使用数据.数据重复使用.数据集发现发现痴呆症 痴呆症是一种痴呆症.这些都是元数据.人口队列人口队列.

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科学领域:

  • 神经科学是一个神经科学.
  • 公共卫生 公共卫生
  • 数据科学数据科学数据科学

背景情况:

  • 实现复杂健康数据的最大化对于加速痴呆症发现和转化研究至关重要.
  • 重新利用现有数据集提供了一种快速且具有成本效益的进步方法.
  • 加强健康队列基础设施对于有效的数据管理至关重要.

研究的目的:

  • 探索全球痴呆症队列格局,并确定与痴呆症研究相关的队列.
  • 评估未来研究的痴呆相关数据的可用性和可访问性.
  • 突出需要改善的卫生队列基础设施和数据管理领域.

主要方法:

  • 搜索了PubMed关于痴呆症队列 (1970-2024) 和国际痴呆症数据平台的出版物.
  • 使用与C-Surv数据模型一致的模板来总结队列细节和测量.
  • 确定了883个痴呆症队列,将其分为基于人口的和临床的队列.

主要成果:

  • 在1970年至2024年间,在全球范围内确定了883个痴呆症队列 (558个人口,325个临床).
  • 发现74%的队列表示数据可用,但元数据报告和质量差异很大.
  • 只有45%的队列可以通过现有的数据平台被发现,全球南方地区代表性不足.

结论:

  • 广泛的全球痴呆症数据可供重新利用,为研究提供了重大机会.
  • 需要改进的优先领域包括提高元数据透明度和数据可访问性.
  • 开发的在线景观工具促进了痴呆症数据的战略发现和再利用.