Evidence map›Paper›PMID 36831787›Full record

ArticleBrain sciences2023

A New Smart 2-Min Mobile Alerting Method for Mild Cognitive Impairment Due to Alzheimer's Disease in the Community.

Yujia Wang, Tong Chen, Chen Wang, Atsushi Ogihara, Xiaowen Ma, Shouqiang Huang, Siyu Zhou, Shuwu Li, Jiakang Liu, Kai Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

10 authors at 2 institutions in 2 countries.

Yujia WangSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Tong ChenDepartment of Neurology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China.
Chen WangSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Atsushi OgiharaZhejiang-Japan Digital Diagnosis and Treatment and Equipment of Integrated Traditional Chinese Medicine and Western Medicine for Major Brain Diseases Joint Laboratory, Zhejiang Chinese Medical University, Hangzhou 310053, China.ORCID 0000-0002-3049-3446
Xiaowen MaSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Shouqiang HuangSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Siyu ZhouZhejiang-Japan Digital Diagnosis and Treatment and Equipment of Integrated Traditional Chinese Medicine and Western Medicine for Major Brain Diseases Joint Laboratory, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Shuwu LiSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Jiakang LiuSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Kai LiSchool of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, Hangzhou 310053, China.
Zhejiang Chinese Medical University · CNChinese PLA General Hospital · CN

Funding

Science and Technology Department of Zhejiang Province 2021C03116Science and Technology Department of Zhejiang Province 2022C03064Zhejiang Chinese Medical University 2021JKZDZC04
6 · The paper itself

Abstract

The early identification of mild cognitive impairment (MCI) due to Alzheimer's disease (AD), in an early stage of AD can expand the AD warning window. We propose a new capability index evaluating the spatial execution process (SEP), which can dynamically evaluate the execution process in the space navigation task. The hypothesis is proposed that there are neurobehavioral differences between normal cognitive (NC) elderly and AD patients with MCI reflected in digital biomarkers captured during SEP. According to this, we designed a new smart 2-min mobile alerting method for MCI due to AD, for community screening. Two digital biomarkers, total mission execution distance (METRtotal) and execution distance above the transverse obstacle (EDabove), were selected by step-up regression analysis. For the participants with more than 9 years of education, the alerting efficiency of the combination of the two digital biomarkers for MCI due to AD could reach 0.83. This method has the advantages of fast speed, high alerting efficiency, low cost and high intelligence and thus has a high application value for community screening in developing countries. It also provides a new intelligent alerting approach based on the human-computer interaction (HCI) paradigm for MCI due to AD in community screening.

Indexed as

alerting in the communitydigital biomarkersmild cognitive impairment due to Alzheimer’s diseasespatial execution process

Identifiers

PMID36831787
PMCPMC9954272
OpenAlexW4318777643

What Socratic 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 Socratic graph.