Evidence map›Paper›PMID 35111556›Full record

ArticleFujita medical journal2021

Assessment of finger motor function that reflects the severity of cognitive function.

Shota Suzumura, Yoshikiyo Kanada, Aiko Osawa, Junpei Sugioka, Natsumi Maeda, Taishi Nagahama, Kenta Shiramoto, Katsumi Kuno, Shiori Kizuka, Yuko Sano and 3 more

Open access · greenAbstract read
In one paragraph

Article in Fujita medical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Function of the hand as a predictor of early diagnosis and progression of Alzheimer's dementia: A systematic review.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
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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

13 authors at 2 institutions in 1 country.

Shota SuzumuraDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Yoshikiyo KanadaFaculty of Rehabilitation, School of Health Sciences, Fujita Health University, Toyoake, Aichi, Japan.
Aiko OsawaDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Junpei SugiokaDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Natsumi MaedaDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Taishi NagahamaDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Kenta ShiramotoDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Katsumi KunoDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Shiori KizukaDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Yuko SanoCenter for Technology Innovation - Artificial Intelligence, Research and Development Group, Hitachi Ltd., Kokubunji, Tokyo, Japan.
Tomohiko MizuguchiOptronics Innovation Dept., Optronics Division, Maxell, Ltd., Yokohama, Kanagawa, Japan.
Akihiko KandoriCenter for Exploratory Research, Research & Development Group, Hitachi Ltd., Kokubunji, Tokyo, Japan.
Izumi KondoDepartment of Rehabilitation Medicine, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
National Center for Geriatrics and Gerontology · JPFujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe conducted a finger tapping movement test using a finger tapping device with magnetic sensors (UB-2) and performed multiple regression analyses using a number of finger movements parameters to estimate the severity of cognitive impairment.

methodsThe subjects of this study were 64 patients, including 44 diagnosed with Alzheimer's disease (AD) (mean age: 73.8±7.0 years) and 20 diagnosed with mild cognitive impairment (MCI) (mean age: 76.7±4.2 years). For the finger-tapping movement tasks, we tested single-hand (left and right) tapping, simultaneous tapping of both hands, and alternate tapping between hands. After measurement, multiple regression analysis adjusted for age and sex was performed to predict the Mini-Mental State Examination (MMSE) score from the calculated hand parameters.

resultsRelatively high standardized partial regression coefficients were observed for the following two parameters: standard deviation (SD) of distance rate of velocity peak in extending movement and the SD of contact duration. The coefficients of determination (R

conclusionsOur results suggest the possibility that these parameters may be used to assess cognitive function. We shall obtain large-scale data from older people to examine the possibility of these parameters to be used as an early diagnostic tool for dementia patients.

Indexed as

Cognitive functionDexterityFinger tappingMini-Mental State Examination (MMSE)

Identifiers

PMID35111556
PMCPMC8761821
OpenAlexW3111606015

What OpenQuestion holds

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LicenceCC BY
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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.