Evidence map›Paper›PMID 38186668›Full record

ArticleJAR life2023

Discrimination of Frailty Phenotype by Kinect

Y Osuka, N Takeshima, N Kojima, T Kohama, E Fujita, M Kusunoki, Y Kato, W F Brechue, H Sasai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAR life, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Y OsukaDepartment of Frailty Research, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.
N TakeshimaDepartment of Health and Sports Sciences, Asahi University, Gifu, Japan.
N KojimaResearch Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
T KohamaFaculty of Biology-Oriented Science and Technology, Kindai University, Wakayama, Japan.
E FujitaDepartment of Sports and Life Science, National Institute of Fitness and Sports in Kanoya, Kagoshima, Japan.
M KusunokiFaculty of Biology-Oriented Science and Technology, Kindai University, Wakayama, Japan.
Y KatoDepartment of Physical Therapy, Nagoya Women's University, Aichi, Japan.
W F BrechueDepartment of Physiology, Kirksville College of Osteopathic Medicine, A.T. Still University of Health Sciences, Missouri, USA.
H SasaiDepartment of Frailty Research, Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Frailty increases the risk of falling, hospitalization, and premature death, necessitating practical early-detection tools. Objectives: To examine the discriminative ability of Kinect Design: Population-based cross-sectional study. Setting: Eighteen neighborhoods near Tokyo Metropolitan Institute for Geriatrics and Gerontology, Itabashi, Tokyo, Japan. Participants: In total, 563 community-dwelling older adults aged ≥75 years without mobility limitations, neurological disease, or dementia were included. Measurements: Step number (SN) and knee total movement distance (KMD) during a 20-s stepping test were evaluated using the Kinect Results: The number (%) of participants with frailty were 51 (9.1). The area under the receiver operating characteristic curves (95% confidence interval) of a parameter consisting of SN and KMD for frailty was 0.72 (0.64, 0.79). Conclusions: Stepping parameters evaluated using Kinect

Indexed as

agingdigital biomarkerfrailtyKinectTMmobility

Identifiers

PMID38186668
PMCPMC10767484

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Registered trials

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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.