Evidence map›Paper›PMID 33424581›Full record

ArticleFrontiers in aging neuroscience2020

Dual-Task Training Affect Cognitive and Physical Performances and Brain Oscillation Ratio of Patients With Alzheimer's Disease: A Randomized Controlled Trial.

Elnaz Parvin, Fatemeh Mohammadian, Sadegh Amani-Shalamzari, Mahdi Bayati, Behnaz Tazesh

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 4 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

26 citing papers in PubMed, 4 syntheses or guidelines pooled it, 45 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

5 authors at 4 institutions in 1 country.

Elnaz ParvinDepartment of Exercise Physiology, Faculty of Physical Education and Sports Science, Kharazmi University, Tehran, Iran.
Fatemeh MohammadianDepartment of Neurology, Roozbeh Hospital, Tehran University of Medical Science, Tehran, Iran.
Sadegh Amani-ShalamzariDepartment of Exercise Physiology, Faculty of Physical Education and Sports Science, Kharazmi University, Tehran, Iran.
Mahdi BayatiDepartment of Exercise Physiology, Sports Medicine Research Center, Sport Sciences Research Institute, Tehran, Iran.
Behnaz TazeshSports and Exercise Medicine Specialist, Roozbeh Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Kharazmi University · IRAerospace Research Institute · IRRoozbeh Hospital · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the effect of 12 weeks of dual-task training on cognitive status, physical performance, and brain oscillation of patients with Alzheimer's disease (AD). Twenty-six AD patients were randomly assigned to two groups, the training group (TG) and control group (CG). TG executed progressive combined exercises with visual stimulation twice a week for 12 weeks. Training included muscle endurance, balance, flexibility, and aerobic exercises with eyes closed and opened. Brain oscillation on electroencephalography (EEG) and a series of physical, cognitive, and mental tests were taken before and post-intervention. There was a significant improvement after training protocol in cognitive function, particularly in short-term and working memory, attention, and executive function (

Indexed as

agingalpha wavecognitive performancedementiaelectroencephalographyexercisephysical activitytheta wave

Identifiers

PMID33424581
PMCPMC7787183
OpenAlexW3117244804

What OpenQuestion holds

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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.