Evidence map›Paper›PMID 33615117›Full record

ArticleDigital biomarkers

Survey on Acceptance of Passive Technology Monitoring for Early Detection of Cognitive Impairment.

Sylvia Josephy-Hernandez, Catherine Norise, Jee-Young Han, Kara M Smith

Abstract read
In one paragraph

Article in Digital biomarkers. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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.

Sylvia Josephy-HernandezDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Catherine NoriseDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Jee-Young HanDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Kara M SmithDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts, USA.

Funding

Speech markers of cognitive impairment in Parkinson's diseaseK23DC016656 · NIDCD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI SMITH, KARA MICHELLE · 2019 to 2023
$946k
NIDCD NIH HHS K23 DC016656
6 · The paper itself

Abstract

introductionDigital biomarkers may act as a tool for early detection of changes in cognition. It is important to understand public perception of technologies focused on monitoring cognition to better guide the design of these tools and inform patients appropriately about the associated risks and benefits. Health care systems may also play a role in the clinical, legal, and financial implications of such technologies.

objectiveTo evaluate public opinion on the use of passive technology for monitoring cognition.

methodsThis was a one-time, Internet-based survey conducted in English and Spanish.

resultsWithin the English survey distributed in the USA (

conclusionsUnderstanding public perception and ethical implications should guide the design of digital biomarkers for cognition. Privacy and the health-care system in which the participants take part are 2 major factors to be considered. It is the responsibility of researchers to convey the ethical and legal implications of cognition monitoring.

Indexed as

CognitionDigital biomarkersSurvey

Identifiers

PMID33615117
PMCPMC7879311

What OpenQuestion holds

Textmetadata
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.