Evidence map›Paper›PMID 31119198›Full record

ArticleNPJ digital medicine2019

Digital biomarkers for Alzheimer's disease: the mobile/ wearable devices opportunity.

Lampros C Kourtis, Oliver B Regele, Justin M Wright, Graham B Jones

Abstract read
In one paragraph

Article in NPJ digital medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 237 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
237citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

237 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Pooled it
  6. Pooled it
  7. Guideline
  8. Smartphone-Based Hand Function Assessment: Systematic Review.Journal of medical Internet research · 2024
    Pooled it
  9. Pooled it
  10. Trial
  11. Trial
  12. Trial
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Review
  19. Observational
  20. Review

177 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lampros C KourtisClinical & Translational Science Institute, Tufts University Medical Center, 800 Washington St, Boston, MA 02111, USA.
Oliver B RegeleCambridge Innovation Center, Eli Lilly and Company, 450 Kendall, Cambridge, MA 02142, USA.
Justin M WrightCambridge Innovation Center, Eli Lilly and Company, 450 Kendall, Cambridge, MA 02142, USA.
Graham B JonesClinical & Translational Science Institute, Tufts University Medical Center, 800 Washington St, Boston, MA 02111, USA.

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
NCATS NIH HHS UL1 TR002544
6 · The paper itself

Abstract

Alzheimer's Disease (AD) represents a major and rapidly growing burden to the healthcare ecosystem. A growing body of evidence indicates that cognitive, behavioral, sensory, and motor changes may precede clinical manifestations of AD by several years. Existing tests designed to diagnose neurodegenerative diseases, while well-validated, are often less effective in detecting deviations from normal cognitive decline trajectory in the earliest stages of the disease. In the quest for gold standards for AD assessment, there is a growing interest in the identification of readily accessible digital biomarkers, which harness advances in consumer grade mobile and wearable technologies. Topics examined include a review of existing early clinical manifestations of AD and a path to the respective sensor and mobile/wearable device usage to acquire domain-centric data towards objective, high frequency and passive digital phenotyping.

Identifiers

PMID31119198
PMCPMC6526279

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.