ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2018
Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Using Digital Technology to Quantify Habitual Physical Activity in Community Dwellers With Cognitive Impairment: Systematic Review.Journal of medical Internet research · 2023Pooled it
- State-of-the-Art Sensors for Remote Care of People with Dementia during a Pandemic: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- The use of wearable/portable digital sensors in Huntington's disease: A systematic review.Parkinsonism & related disorders · 2021Pooled it
- Aggression Prevention Training for Individuals With Dementia and Their Caregivers: A Randomized Controlled Trial.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2020Trial
- Article
- Speech-based digital cognitive assessment for clinical trials: Detecting cognitive impairment stages and AD biomarker relations across European cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Accelerating Parkinson's Disease drug development with federated learning approaches.NPJ Parkinson's disease · 2024Review
- In-vehicle Sensing and Data Analysis for Older Drivers with Mild Cognitive Impairment.2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT (HONET) · 2023Article
- DMapp: a developing promising approach to monitor symptoms progression and stimulate memory in Italian people with cognitive impairments.Aging clinical and experimental research · 2022Article
- Capturing Cognitive Aging in Vivo: Application of a Neuropsychological Framework for Emerging Digital Tools.JMIR aging · 2022Article
- Alzheimer Disease: Standard of Diagnosis, Treatment, Care, and Prevention.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022Article
- A Remote Digital Monitoring Platform to Assess Cognitive and Motor Symptoms in Huntington Disease: Cross-sectional Validation Study.Journal of medical Internet research · 2022Article
- Wearable multimodal sensors for the detection of behavioral and psychological symptoms of dementia using personalized machine learning models.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- Measuring neuropsychiatric symptoms in patients with early cognitive decline using speech analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2021Article
- The Impact of Environment on Gait Assessment: Considerations from Real-World Gait Analysis in Dementia Subtypes.Sensors (Basel, Switzerland) · 2021Article
- Development of the systematic observation of COVID-19 mitigation (SOCOM): Assessing face covering and distancing in schools.Journal of clinical and translational science · 2021Article
- Microfluidic Point-of-Care Devices: New Trends and Future Prospects for eHealth Diagnostics.Sensors (Basel, Switzerland) · 2020Article
- Atypical Repetition in Daily Conversation on Different Days for Detecting Alzheimer Disease: Evaluation of Phone-Call Data From Regular Monitoring Service.JMIR mental health · 2020Article
- Analyzing large Alzheimer's disease cognitive datasets: Considerations and challenges.Alzheimer's & dementia (Amsterdam, Netherlands) · 2020Article
- Technology and Dementia: The Future is Now.Dementia and geriatric cognitive disorders · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 7 institutions in 5 countries.
Funding
Abstract
Cognitive function is an important end point of treatments in dementia clinical trials. Measuring cognitive function by standardized tests, however, is biased toward highly constrained environments (such as hospitals) in selected samples. Patient-powered real-world evidence using information and communication technology devices, including environmental and wearable sensors, may help to overcome these limitations. This position paper describes current and novel information and communication technology devices and algorithms to monitor behavior and function in people with prodromal and manifest stages of dementia continuously, and discusses clinical, technological, ethical, regulatory, and user-centered requirements for collecting real-world evidence in future randomized controlled trials. Challenges of data safety, quality, and privacy and regulatory requirements need to be addressed by future smart sensor technologies. When these requirements are satisfied, these technologies will provide access to truly user relevant outcomes and broader cohorts of participants than currently sampled in clinical trials.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.