The Preventing Alzheimer's with Cognitive Training (PACT) randomized clinical trial

Nicholson, Jody S.; Hudak, Elizabeth M.; Phillips, Christine B.; Chanti‐Ketterl, Marianne; O’Brien, Jennifer L.; Ross, Lesley A.; Lister, Jennifer J.; Burke, James R.; Potter, Guy G.; Plassman, Brenda L.; Woods, Adam J.; Krischer, Jeffrey; Edwards, Jerri D.

doi:10.1016/j.cct.2022.106978

Cited by 5 publications

(5 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The wide variation in intervention protocols, such as the type, duration, intensity, and frequency of cognitive training, may lead to inconsistent findings and limit the ability to compare and generalize the results. For instance, while the overall studies implemented an average of two sessions per week ( 18 , 45 , 47 , 51 , 59 , 60 ), one study implemented cognitive training sessions on all days of week ( 61 ). Also, the duration of cognitive training was widely widespread, from a minimum of 20 minutes to a maximum of 600 minutes per week ( 37 , 38 , 42 ).…”

Section: Discussionmentioning

confidence: 99%

“…Also, the duration of cognitive training was widely widespread, from a minimum of 20 minutes to a maximum of 600 minutes per week ( 37 , 38 , 42 ). Additionally, it is worth noting that 10 of the 34 studies analyzed ( 37 , 51 , 60 , 62 – 68 ) did not specify the sex composition of their samples. Neglecting to provide information regarding the sex distribution within these studies may introduce biases that hinder the comprehensive understanding of their findings and impede meaningful comparisons with the existing evidence.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Cognitive Training with Older Adults Using Smartphone and Web-Based Applications: A Scoping Review

Silva,

Murawska-Ciałowicz

et al. 2024

J Prev Alz Dis

View full text Add to dashboard Cite

Introduction The present scoping review focused on: i) which apps were previously studied; ii) what is the most common frequency for implementing cognitive training; and iii) what cognitive functions the interventions most focus on. Methods PRISMA guidelines were followed, and the search was conducted on Web of Science, PsycInfo, Cochrane, and Pubmed. From 1733 studies found, 34 were included. Results it was highlighted the necessity for forthcoming investigations to tackle the methodical restrictions and disparities in the domain. Discussion great diversity in intervention protocols was found. Incorporating evaluations of physical fitness in conjunction with cognitive evaluations can offer a more all-encompassing comprehension of the impacts of combined interventions. Furthermore, exploring the efficacy of cognitive training applications requires additional scrutiny, considering individual variances and practical outcomes in real-life settings.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Cognitive Training with Older Adults Using Smartphone and Web-Based Applications: A Scoping Review

Silva,

Murawska-Ciałowicz

et al. 2024

J Prev Alz Dis

View full text Add to dashboard Cite

show abstract

“…Vision assessment is a widely accessible, low-cost test. Vision-related training (e.g., visual field training) can also be performed with devices such as mobile phones [83,84].…”

Section: Discussionmentioning

confidence: 99%

Prediction Model for Cognitive Impairment among Disabled Older Adults: A Development and Validation Study

Cui,

Zheng,

2024

Healthcare

View full text Add to dashboard Cite

Disabled older adults exhibited a higher risk for cognitive impairment. Early identification is crucial in alleviating the disease burden. This study aims to develop and validate a prediction model for identifying cognitive impairment among disabled older adults. A total of 2138, 501, and 746 participants were included in the development set and two external validation sets. Logistic regression, support vector machine, random forest, and XGBoost were introduced to develop the prediction model. A nomogram was further established to demonstrate the prediction model directly and vividly. Logistic regression exhibited better predictive performance on the test set with an area under the curve of 0.875. It maintained a high level of precision (0.808), specification (0.788), sensitivity (0.770), and F1-score (0.788) compared with the machine learning models. We further simplified and established a nomogram based on the logistic regression, comprising five variables: age, daily living activities, instrumental activity of daily living, hearing impairment, and visual impairment. The areas under the curve of the nomogram were 0.871, 0.825, and 0.863 in the internal and two external validation sets, respectively. This nomogram effectively identifies the risk of cognitive impairment in disabled older adults.

show abstract

“…Utilizing polygenic scores may help design more efficient clinical trials in AD, particularly by overcoming the slow rates of cognitive decline and time-limited study windows constraining clinical trials [34]. AD clinical trials usually enroll genetically heterogenous participants with genetic-based analyses typically performed in a post-hoc manner, especially for the APOE genotype [35][36][37]. Such heterogeneity within the trial may have the unintended consequence of confounding the therapeutic effects, as seen in Parkinson's disease [38].…”

Section: Clinical Applications Of Polygenic Risk Scoresmentioning

confidence: 99%

Multi-Omic Blood Biomarkers as Dynamic Risk Predictors in Late-Onset Alzheimer’s Disease

Bhalala,

Watson,

Yassi

2024

IJMS

View full text Add to dashboard Cite

Late-onset Alzheimer’s disease is the leading cause of dementia worldwide, accounting for a growing burden of morbidity and mortality. Diagnosing Alzheimer’s disease before symptoms are established is clinically challenging, but would provide therapeutic windows for disease-modifying interventions. Blood biomarkers, including genetics, proteins and metabolites, are emerging as powerful predictors of Alzheimer’s disease at various timepoints within the disease course, including at the preclinical stage. In this review, we discuss recent advances in such blood biomarkers for determining disease risk. We highlight how leveraging polygenic risk scores, based on genome-wide association studies, can help stratify individuals along their risk profile. We summarize studies analyzing protein biomarkers, as well as report on recent proteomic- and metabolomic-based prediction models. Finally, we discuss how a combination of multi-omic blood biomarkers can potentially be used in memory clinics for diagnosis and to assess the dynamic risk an individual has for developing Alzheimer’s disease dementia.

show abstract

The Preventing Alzheimer's with Cognitive Training (PACT) randomized clinical trial

Cited by 5 publications

References 75 publications

Cognitive Training with Older Adults Using Smartphone and Web-Based Applications: A Scoping Review

Cognitive Training with Older Adults Using Smartphone and Web-Based Applications: A Scoping Review

Prediction Model for Cognitive Impairment among Disabled Older Adults: A Development and Validation Study

Multi-Omic Blood Biomarkers as Dynamic Risk Predictors in Late-Onset Alzheimer’s Disease

Contact Info

Product

Resources

About