Evidence map›Paper›PMID 26079569›Full record

SynthesisJournal of neurologic physical therapy : JNPT2015

Motor-Cognitive Dual-Task Training in Persons With Neurologic Disorders: A Systematic Review.

Nora E Fritz, Fern M Cheek, Deborah S Nichols-Larsen

3 registry-linked trialsOpen access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Journal of neurologic physical therapy : JNPT, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 123 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 7 pooled it
10.9field-weighted citation impact, top 1% 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.

NCT05296551 naterminatednot on this mapstarted 2022, after this paper: background citation

Examination of a Novel Cognitive-motor Weight-bearing Dual-task Intervention in Older Adults

TypeinterventionalSponsorGeorge Washington UniversityRan2022 to 2024Enrolled3ConditionsHealthy AgingArmsMotor Task, Cognitive-motor dual-task
NCT05730790 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Immersive Virtual Reality for Dual-task Training in Older Adults With Mild Cognitive Impairment: A Randomized Controlled Trial

TypeinterventionalSponsorTan Tock Seng HospitalRan2021 to 2023Enrolled54ConditionsMild Cognitive ImpairmentArmsCognitive-motor dual task training (DTT), Cognitive single task training (CSTT), Motor single task training (MSTT)
NCT07213232 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Investigation of the Effects of Dual-Task Balance and Gait Training Combined With Cognitive Training in Parkinson's Patients

TypeinterventionalSponsorGazi UniversityRan2025 to 2026Enrolled14ConditionsCognition, Parkinson's Disease, Gait Disorders, Neurologic, Balance DisordersArmsCore Stability Training, Dual-Task Balance and Gait Training, Cognitive Training
3 · Its place in the literature

Who cites it

123 citing papers in PubMed, 7 syntheses or guidelines pooled it, 285 citations in OpenAlex.

  1. Combinations of physical and cognitive training for subcortical neurodegenerative diseases with physical, cognitive and behavioral symptoms: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Nora E FritzKennedy Krieger Institute, Johns Hopkins University, Baltimore, Maryland.
Fern M Cheek
Deborah S Nichols-Larsen
Johns Hopkins University · US

Funding

The Ohio State University Center for Clinical and Translational Science (TL1)TL1TR000091 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2012 to 2013
$384k
NCATS NIH HHS 8TL1TR000091-05NCATS NIH HHS TL1 TR000091
6 · The paper itself

Abstract

background and purposeDeficits in motor-cognitive dual tasks (eg, walking while talking) are common in individuals with neurologic conditions. This review was conducted to determine the effectiveness of motor-cognitive dual-task training (DTT) compared with usual care on mobility and cognition in individuals with neurologic disorders.

methodsDatabases searched were Biosis, CINAHL, ERIC, PsychInfo, EBSCO Psychological & Behavioral, PubMed, Scopus, and Web of Knowledge. Eligibility criteria were studies of adults with neurologic disorders that included DTT, and outcomes of gait or balance were included. Fourteen studies met inclusion criteria. Participants were subjects with brain injury, Parkinson disease (PD), and Alzheimer disease (AD). Intervention protocols included cued walking, cognitive tasks paired with gait, balance, and strength training and virtual reality or gaming. Quality of the included trials was evaluated with a standardized rating scale of clinical relevance.

resultsResults show that DTT improves single-task gait velocity and stride length in subjects with PD and AD, dual-task gait velocity and stride length in subjects with PD, AD, and brain injury, and may improve balance and cognition in those with PD and AD. The inclusion criteria of the studies reviewed limited the diagnostic groups included. DISCUSSION AND

conclusionsWhile the range of training protocols and outcome assessments in available studies limited comparison of the results across studies motor-cognitive dual-task deficits in individuals with neurologic disorders appears to be amenable to training. Improvement of dual-task ability in individuals with neurologic disorders holds potential for improving gait, balance, and cognition.Video Abstract available for additional insights from the authors (Supplemental Digital Content, http://links.lww.com/JNPT/A104).

Indexed as

CognitionExercise TherapyGaitHumansMotor SkillsNervous System DiseasesPostural BalanceResistance TrainingWalking

Identifiers

PMID26079569
PMCPMC4470324
OpenAlexW2514135285

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.