Evidence map›Paper›PMID 35783369›Full record

ReviewSports medicine and health science2021

Dual-task training to improve cognitive impairment and walking function in Parkinson's disease patients: A brief review.

Yanpei Zheng, Zhaoli Meng, Xiao Zhi, Zhanghua Liang

Open access · diamondAbstract readReview
In one paragraph

Review in Sports medicine and health science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Yanpei ZhengSchool of Kinesiology and Health Promotion, Dalian University of Technology, Dalian, China.
Zhaoli MengSchool of Kinesiology and Health Promotion, Dalian University of Technology, Dalian, China.
Xiao ZhiSchool of Kinesiology and Health Promotion, Dalian University of Technology, Dalian, China.
Zhanghua LiangDepartment of Neurology, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Dalian University of Technology · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In daily functional activities, the body needs the ability to perform two or more tasks at the same time (such as talking while walking). However, the gait disorder of patients with Parkinson's disease is aggravated when performing dual tasks, which seriously affects their quality of life. Therefore, the medical management plan should offer effective exercise training programming to improve Parkinson's disease patients' ability to perform dual tasks. Most traditional exercise intervention methods only focus on the perspective of exercise or cognition, ignoring their interaction, and fail to adequately resolve the dual task obstacles associated with Parkinson's disease. Some scholars put forward the concept of dual-task training and have applied dual-task training to patients with neurological disorders and have achieved good therapeutic effects. Therefore, this article summarizes the research literature concerning dual-task training to improve cognitive impairment and walking function of Parkinson's disease patients, to evaluate and discuss possible mechanisms of action, and provide a basis for adjuvant treatment and rehabilitation of Parkinson's disease patients.

Indexed as

Cognitive impairmentDual-task trainingParkinson's diseaseWalking function

Identifiers

PMID35783369
PMCPMC9219296
OpenAlexW3210180830

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.