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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Nutritional Interventions for the Prevention of Cognitive Decline in Patients With Mild Cognitive Impairment and
Qian He1, Kevin Chun Hei Wu1, Adam N Bennett1
1Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.
Background:
Mild cognitive impairment (MCI) is the stage between cognitive decline due to physiological aging and the severity of decline seen in neurodegenerative disorders like Alzheimer disease (AD), which is among the most prevalent neurodegenerative disorders characterized by cognitive impairment. People with MCI are at increased risk of developing AD. Although MCI and AD are incurable, nutritional interventions can potentially delay or prevent their onset. Consequently, effective interventions used to decelerate or alleviate the progress of cognitive impairment in older people are a significant focus in geriatric care. Given the synergistic effects of nutrition on health, assessing the effectiveness of nutritional supplements or dietary composition in preventing MCI or AD is essential for developing interventional strategies.
Objective:
Our study aims to assess the effectiveness of various nutritional interventions, including special dietary types, dietary patterns, specific foods, nutritional intake, and nutritional supplements, in preventing cognitive decline among patients diagnosed with MCI or AD. To achieve this, we will use a comprehensive approach, including network meta-analysis, pairwise meta-analysis, and systematic review of randomized controlled trials (RCTs).
Methods:
The review will follow the Population, Intervention, Comparison, Outcome (PICO) model and the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) guidelines. Two investigators will independently search PubMed electronically. Data extraction will follow the inclusion criteria, and data will be assessed for risk of bias using a revised tool. Additionally, evidence quality will be evaluated using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework. The outcomes of interest are assessing the cognitive outcomes in patients with MCI or AD. A systematic literature search will be conducted, identifying randomized controlled trials that investigate the impact of these nutritional interventions on cognitive function decline in individuals with MCI and AD. Network meta-analyses (random-effects model) and pairwise meta-analyses will then estimate the relative effectiveness of different nutritional interventions.
Results:
We included 51 studies, published between 1999 and 2023 (27 studies for AD and 24 studies for MCI) and involving 8420 participants. We completed data extraction for all 51 studies by December 2023. Currently, we are actively engaged in data analysis and manuscript preparation. We plan to finalize the manuscript and publish the comprehensive results by the end of 2024.
Conclusions:
Our study holds significant clinical relevance given the rising prevalence of AD and the potential influence of nutritional interventions on cognitive function in individuals with MCI and AD. By investigating this relationship, our research aims to inform evidence-based decision-making in the development of prevention strategies for MCI and AD. The outcomes are expected to contribute to the establishment of reliable recommendations for MCI or AD management, providing substantial support in the field.
Trial Registration:
PROSPERO CRD42022331173; http://tinyurl.com/3snjp7a4.
International Registered Report Identifier (Irrid):
PRR1-10.2196/47196.
Insights
Nutritional interventions show promise in delaying cognitive decline in mild cognitive impairment (MCI) and Alzheimer disease (AD). This systematic review synthesizes evidence from 51 studies to guide prevention strategies.
Area of Science:
- Geriatric Medicine
- Neuroscience
- Nutritional Science
Background:
- Mild cognitive impairment (MCI) represents a transitional stage between normal aging and severe neurodegenerative disorders like Alzheimer disease (AD).
- Individuals with MCI face an elevated risk of progressing to AD.
- Nutritional interventions offer a potential avenue for delaying or preventing the onset of MCI and AD.
Purpose of the Study:
- To systematically evaluate the efficacy of diverse nutritional interventions in preventing cognitive decline in patients with MCI or AD.
- To employ network meta-analysis, pairwise meta-analysis, and systematic review of randomized controlled trials (RCTs) for a comprehensive assessment.
Main Methods:
- Adherence to the Population, Intervention, Comparison, Outcome (PICO) model and PRISMA-P guidelines.
- Systematic literature search of PubMed for RCTs, with independent data extraction and risk of bias assessment.
- Evaluation of evidence quality using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) framework and meta-analyses to determine intervention effectiveness.
Main Results:
- Inclusion of 51 studies (27 for AD, 24 for MCI) published between 1999 and 2023, involving 8420 participants.
- Data extraction completed for all studies by December 2023.
- Ongoing data analysis with manuscript preparation, targeting publication by the end of 2024.
Conclusions:
- The study holds significant clinical relevance due to the increasing prevalence of AD and the potential impact of nutrition on cognitive function.
- Findings will inform evidence-based strategies for MCI and AD prevention and management.
- Expected to establish reliable recommendations for clinical practice in geriatric care and neurodegenerative disease management.
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