Evidence map›Paper›PMID 33525656›Full record

ReviewHealthcare (Basel, Switzerland)2021

Personalized Healthcare for Dementia.

Seunghyeon Lee, Eun-Jeong Cho, Hyo-Bum Kwak

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2021. 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
0.4field-weighted citation impact, top 43% 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. Trial
  2. Article
  3. Article
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

3 authors at 1 institution in 1 country.

Seunghyeon LeeProgram in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea.
Eun-Jeong ChoProgram in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea.ORCID 0000-0003-3683-6523
Hyo-Bum KwakProgram in Biomedical Science and Engineering, Inha University, Incheon 22212, Korea.ORCID 0000-0003-0451-4554
Inha University · KR

Funding

the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea NRF-2016R1A2B4014240, NRF-2018R1A2A3074577, NRF- 2019S1A5C2A03082727
6 · The paper itself

Abstract

Dementia is one of the most common health problems affecting older adults, and the population with dementia is growing. Dementia refers to a comprehensive syndrome rather than a specific disease and is characterized by the loss of cognitive abilities. Many factors are related to dementia, such as aging, genetic profile, systemic vascular disease, unhealthy diet, and physical inactivity. As the causes and types of dementia are diverse, personalized healthcare is required. In this review, we first summarize various diagnostic approaches associated with dementia. Particularly, clinical diagnosis methods, biomarkers, neuroimaging, and digital biomarkers based on advances in data science and wearable devices are comprehensively reviewed. We then discuss three effective approaches to treating dementia, including engineering design, exercise, and diet. In the engineering design section, recent advances in monitoring and drug delivery systems for dementia are introduced. Additionally, we describe the effects of exercise on the treatment of dementia, especially focusing on the effects of aerobic and resistance training on cognitive function, and the effects of diets such as the Mediterranean diet and ketogenic diet on dementia.

Indexed as

dementiadiagnosisdietengineeringexercisehealthcare

Identifiers

PMID33525656
PMCPMC7910906
OpenAlexW3124261462

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.