ArticleAdvances in geriatric medicine and research2019
Aging Well: Using Precision to Drive Down Costs and Increase Health Quality.
Article in Advances in geriatric medicine and research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Digital Clock Drawing as an Alzheimer's Disease Susceptibility Biomarker: Associations with Genetic Risk Score and APOE in Older Adults.The journal of prevention of Alzheimer's disease · 2024Pooled it
- Cerebral Microbleeds in Different Brain Regions and Their Associations With the Digital Clock-Drawing Test: Secondary Analysis of the Framingham Heart Study.Journal of medical Internet research · 2024Article
- Precision public health in the era of genomics and big data.Nature medicine · 2024Review
- A novel online training programme for healthcare professionals caring for older adults.Aging clinical and experimental research · 2023Article
- DementiaBank: Theoretical Rationale, Protocol, and Illustrative Analyses.American journal of speech-language pathology · 2023Article
- Components, prospects and challenges of personalized prevention.Frontiers in public health · 2023Review
- Prevalence and Determinant Factors of Diabetes Distress in Community-Dwelling Elderly in Qom, Iran.International journal of preventive medicine · 2021Article
- Review
- Why Loneliness Interventions Are Unsuccessful: A Call for Precision Health.Advances in geriatric medicine and research · 2020Article
- Situated Precision Healthcare in the Smart Medical Home: Bringing NASA's Research Strategy down to Earth.Advances in geriatric medicine and research · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
Efforts to provide patients with individualized treatments have led to tremendous breakthroughs in healthcare. However, a precision medicine approach alone will not offset the rapid increase in prevalence and burden of chronic non-communicable illnesses that is continuing to pervade the world's aging population. With rapid advances in technology, it is now possible to collect digital metrics to assess, monitor and detect chronic disease indicators, much earlier in the disease course, potentially redefining what was previously considered asymptomatic to pre-symptomatic. Data science and artificial intelligence can drive the discovery of digital biomarkers before the emergence of overt clinical symptoms, thereby transforming the current healthcare approach from one centered on precision medicine to a more comprehensive focus on precision health, and by doing so enable the possibility of preventing disease altogether. Presented herein are the challenges to the current healthcare model and the proposition of first steps for reversing the prevailing intractable trend of rising healthcare costs and poorer health quality.
Indexed as
Identifiers
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.