Evidence map›Paper›PMID 32295301›Full record

Observational studySensors (Basel, Switzerland)2020

Toward Using Wearables to Remotely Monitor Cognitive Frailty in Community-Living Older Adults: An Observational Study.

Javad Razjouyan, Bijan Najafi, Molly Horstman, Amir Sharafkhaneh, Mona Amirmazaheri, He Zhou, Mark E Kunik, Aanand Naik

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

22 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  12. Cellular Senescence and Frailty in Transplantation.Current transplantation reports · 2023
    Article
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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

8 authors at 2 institutions in 1 country.

Javad RazjouyanVA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA.
Bijan NajafiInterdisciplinary Consortium on Advanced Motion Performance (iCAMP), Division of Vascular Surgery and Endovascular Therapy, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
Molly HorstmanVA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA.
Amir SharafkhanehDepartment of Medicine, Baylor College of Medicine, Houston, TX, USA.
Mona AmirmazaheriInterdisciplinary Consortium on Advanced Motion Performance (iCAMP), Division of Vascular Surgery and Endovascular Therapy, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
He ZhouInterdisciplinary Consortium on Advanced Motion Performance (iCAMP), Division of Vascular Surgery and Endovascular Therapy, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
Mark E KunikVA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA.
Aanand NaikVA HSR&D Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, USA.
Baylor College of Medicine · USMichael E. DeBakey VA Medical Center · US

Funding

Phase II STTR: Portable Device for Telecare Monitoring of Elderly PeopleR42AG032748 · NIA · BIOSENSICS, LLC · PI GWIN, JOSEPH T, MOHLER, MARTHA JANE · 2012 to 2016
$2.7M
NIA NIH HHS 2R42AG032748
6 · The paper itself

Abstract

Physical frailty together with cognitive impairment (Cog), known as cognitive frailty, is emerging as a strong and independent predictor of cognitive decline over time. We examined whether remote physical activity (PA) monitoring could be used to identify those with cognitive frailty. A validated algorithm was used to quantify PA behaviors, PA patterns, and nocturnal sleep using accelerometer data collected by a chest-worn sensor for 48-h. Participants (

Indexed as

AccelerometryAgedAged, 80 and overCognitionFemaleFrail ElderlyHumansMaleMiddle AgedMotor ActivitySleepWalkingWearable Electronic Devicescognitive frailtycognitive impairmentdigital healthmotoric cognitive risk syndromeremote patient monitoringtelehealthwearable

Identifiers

PMID32295301
PMCPMC7218861
OpenAlexW3017017267

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.