Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Dementia

Dementia

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....

Predicting Molecular Geometry

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries

Relative Risk

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...

Prediction Intervals

Prediction Intervals

The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

Factors Affecting the Risk of Infection

Factors Affecting the Risk of Infection

The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...

End Point Prediction: Gran Plot

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Exploring the relationship between cognitive impairment, frailty and mortality in the oldest old: findings from the Newcastle 85+ cohort study.

Archives of gerontology and geriatrics·2026

Same author

Development and validation of a dementia risk prediction model for low- and middle-income countries: the 10/66 study.

American journal of epidemiology·2026

Same author

External validation of dementia risk models in a United Kingdom population-based prospective cohort among stroke survivors.

Journal of clinical epidemiology·2026

Same author

Self-harm in prison: moving towards contextual understanding.

Frontiers in psychiatry·2026

Same author

Contribution of Nova-classified ultraprocessed foods to energy and nutrient intakes in very old people: the Newcastle 85+ Study.

BMJ open·2026

Same author

Inside the black box: Refining programme theory in the PriDem dementia care study.

PloS one·2026

Search research articles

Related Experiment Video

Updated: Jan 26, 2026

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Risk Prediction Models for Post-Stroke Dementia.

Eugene Yee Hing Tang¹, Louise Robinson², Blossom Christa Maree Stephan³

¹Newcastle University Institute of Ageing, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne NE4 5PL, UK. e.y.h.tang@newcastle.ac.uk.

Geriatrics (Basel, Switzerland)

|April 24, 2019

Summary

This summary is machine-generated.

Improving dementia identification in stroke survivors is crucial as stroke survival rates rise. New risk prediction models tailored for these patients can help target interventions and personalize medicine for dementia prevention.

Keywords:

dementia risk prediction stroke

More Related Videos

Modeling Stroke in Mice: Focal Cortical Lesions by Photothrombosis

Modeling Stroke in Mice: Focal Cortical Lesions by Photothrombosis

Published on: May 6, 2021

Modeling Stroke in Mice: Transient Middle Cerebral Artery Occlusion via the External Carotid Artery

Modeling Stroke in Mice: Transient Middle Cerebral Artery Occlusion via the External Carotid Artery

Published on: May 24, 2021

Related Experiment Videos

Last Updated: Jan 26, 2026

Using Retinal Imaging to Study Dementia

Using Retinal Imaging to Study Dementia

Published on: November 6, 2017

Modeling Stroke in Mice: Focal Cortical Lesions by Photothrombosis

Modeling Stroke in Mice: Focal Cortical Lesions by Photothrombosis

Published on: May 6, 2021

Modeling Stroke in Mice: Transient Middle Cerebral Artery Occlusion via the External Carotid Artery

Modeling Stroke in Mice: Transient Middle Cerebral Artery Occlusion via the External Carotid Artery

Published on: May 24, 2021

Area of Science:

Neurology
Gerontology
Public Health

Background:

Stroke and dementia share strong links with aging.
Improving stroke survival increases the population at risk for dementia.
Timely dementia identification is a public health priority, especially in the UK.

Purpose of the Study:

To discuss the development and application of dementia risk prediction models.
To highlight the importance of identifying high-risk dementia individuals among stroke survivors.
To explore the potential for personalized medicine interventions in stroke survivors at risk of dementia.

Main Methods:

Review of recently developed dementia risk prediction models.
Application of risk prediction models to the stroke survivor population.
Discussion of targeted intervention strategies based on risk assessment.

Main Results:

New dementia risk prediction models have been developed specifically for stroke survivors.
These models offer a method for identifying individuals at higher risk of developing dementia post-stroke.
The findings support the potential for proactive management of dementia risk in this population.

Conclusions:

Dementia risk prediction models are valuable tools for stroke survivors.
Targeting high-risk populations can facilitate early intervention and personalized medicine approaches.
Improved identification strategies are essential given the growing number of stroke survivors at risk of dementia.