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Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review
Piau A, Wild K, Mattek N, Kaye J.. Journal of medical Internet research, 2019-08-30
Topic: Amyloid, tau and blood-test diagnosis
Despite the promise of a multitude of sensors and devices that can be applied, there are no agreed-upon standards for digital biomarkers, nor are there comprehensive evidence-based results for which digital biomarkers may be demonstrated to be most effective. Results An initial sample of 4811 English-language papers were retrieved. Evidence available from embedded passive sensors represents the most relatively mature research area, suggesting that some of these solutions could be proposed to larger populations in the coming decade.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Piau, A., Wild, K., Mattek, N., & Kaye, J. (2019). Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review. Journal of medical Internet research. https://doi.org/10.2196/12785
Vancouver
Piau A, Wild K, Mattek N, Kaye J. Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review. Journal of medical Internet research. 2019. doi:10.2196/12785. PMID: 31471958.
BibTeX
@article{piau2019-31471958,
author = {Piau, A. and Wild, K. and Mattek, N. and Kaye, J.},
title = {{Current State of Digital Biomarker Technologies for Real-Life, Home-Based Monitoring of Cognitive Function for Mild Cognitive Impairment to Mild Alzheimer Disease and Implications for Clinical Care: Systematic Review}},
journal = {Journal of medical Internet research},
year = {2019},
doi = {10.2196/12785},
pmid = {31471958},
url = {https://doi.org/10.2196/12785}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
Key findings
- Despite the promise of a multitude of sensors and devices that can be applied, there are no agreed-upon standards for digital biomarkers, nor are there comprehensive evidence-based results for which digital biomarkers may be demonstrated to be most effective.
- Results An initial sample of 4811 English-language papers were retrieved.
- Evidence available from embedded passive sensors represents the most relatively mature research area, suggesting that some of these solutions could be proposed to larger populations in the coming decade.
Why it matters
There are currently no agreed-upon standards for digital biomarkers, and no comprehensive evidence showing which ones work best for monitoring cognitive function at home. Embedded passive sensors are the most mature area of research, and some of these solutions could be offered to larger populations in the coming decade.
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Study details
- Participants279
- Evidence strengthLow
How this study scored 67/100
Published in a peer-reviewed journal, and it is a systematic review of all the studies on the question. Scored zero for effect reported because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Journal of medical Internet research) |
| Journal's citation record | 3 / 4 | Journal of Medical Internet Research: journal h-index 286 (OpenAlex, 2026-10-29) |
| Study design | 12 / 12 | A systematic review of all the studies on the question (from PubMed type “Systematic Review”) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2019 — within 10 year(s) of the newest study here |
| Sample size | 2 / 4 | 279 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | A review of other studies — randomisation is not credited here |
| Times cited | 5 / 7 | Cited 250 times (OpenAlex, 2026-10-10) |
| Citations per year | 4 / 5 | 27.8 citations a year over 9 year(s) since 2019 |
| Impact for its field and year | 3 / 6 | Cited 3.9× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 8 other studies in this library |
| Still being cited | 3 / 4 | Cited 132 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Jeffrey Alan Kaye: h-index 122 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Oregon Health & Science University: institution h-index 1,025 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 31471958) |
| Free to read | 2 / 2 | Free to read |
| Total | 67 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.2196/12785
- PubMed: 31471958
- Original source →
- Free full text: Journal of Medical Internet Research →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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