Evidence map›Paper›PMID 38267603›Full record

Trial reportNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2024

LSVT® BIG versus progressive structured mobility training through synchronous telerehabilitation in Parkinson's disease: A randomized controlled trial.

Guzin Kaya Aytutuldu, Burcu Ersoz Huseyinsinoglu, Nazan Karagoz Sakalli, Aysu Sen, Ipek Yeldan

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 10 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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.

NCT04694872 nacompletednot on this map

The Effects of Telerehabilitation-based Exercise Trainings on Gait and Balance in Parkinson's Patients

TypeinterventionalSponsorYeditepe UniversityRan2021 to 2021Enrolled32ConditionsParkinson DiseaseArmsTelerehabilitation Based LSVT BIG Exercise Protocol, Telerehabilitation Based Functional Balance and Mobility Exercise
NCT06927362 narecruitingnot on this mapstarted 2025, after this paper: background citation

Effects of Lee Silverman Voice Treatment Big and Dual Task Training on Balance, Cognition and Functional Mobility in Older Adults With Cognitive Impairment.

TypeinterventionalSponsorRiphah International UniversityRan2025 to 2025Enrolled50ConditionsCognitive Impairment, Balance Changes, Cognition Disorders in Old Age, Functional MobilityArmsLee Silverman treatment big, Dual task training
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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.

Guzin Kaya AytutulduDepartment of Physiotherapy and Rehabilitation (English), Faculty of Health Sciences, Biruni University, Istanbul, Turkey.
Burcu Ersoz HuseyinsinogluDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Marmara University, Istanbul, Turkey. fztersoz@gmail.com.ORCID http://orcid.org/0000-0002-4694-4440
Nazan Karagoz SakalliDepartment of Neurology, Bakırkoy Research and Training Hospital for Neurologic and Psychiatric Diseases, Istanbul, Turkey.
Aysu SenDepartment of Neurology, Bakırkoy Research and Training Hospital for Neurologic and Psychiatric Diseases, Istanbul, Turkey.
Ipek YeldanDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Istanbul University-Cerrahpasa, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is a common neurodegenerative illness associated with motor symptoms.

aimThe aim of study was to compare the effects of synchronous telerehabilitation-based Lee Silverman Voice Treatment® BIG (LSVT® BIG) protocol and progressive structured mobility training in patients with Parkinson's disease (PD).

methodsThirty-two patients diagnosed with PD (aged 40-72 years, Hoehn-Yahr stage 1-3) were randomly allocated into LSVT® BIG (Group 1) and Progressive Structured Mobility Training (Group 2) groups. Exercises were performed in both groups for 60 min a day, 4 days a week, for 4 weeks under the supervision of a physiotherapist with synchronous online videoconference method. Dynamic balance was assessed with Mini-Balance Evaluation Systems Test (Mini-BESTest) as a primary outcome measure. The secondary outcome measurements were Timed Up and Go Test (TUG), spatiotemporal parameters of gait from Kinovea® software, and postural stability from the Biodex Balance System. Other outcome measures were Activity-Specific Balance Confidence Scale-Short Form (ABC-SF), Parkinson's Activity Scale (PAS), and Parkinson's Disease Quality of Life Questionnaire (PDQ-39).

resultsThis study showed significant group-by-time interactions on Mini-BEST (p = 0.042), ABC-SF (p = 0.029), and PAS (p = 0.022) in favor of group 1. Also, TUG (p < 0.01), spatiotemporal parameters of gait (p < 0.01), and PDQ-39 (p < 0.01) were improved in both groups.

conclusionBoth synchronous telerehabilitation-based exercise protocols enhanced balance and gait, as well as activity level and quality of life in patients with PD. LSVT® BIG may be preferred to improve dynamic balance, balance confidence, and activity status in the early stages of PD. These results should be confirmed in future studies with more robust methodology.

trial registrationNCT04694872.

Indexed as

Exercise TherapyParkinson DiseasePostural BalanceTelerehabilitationAdultAgedFemaleHumansMaleMiddle AgedQuality of LifeTreatment OutcomeLSVT® BIGParkinson’s diseasePhysiotherapyPostural controlTelerehabilitation

Identifiers

PMID38267603
PMCPMC11176092

What OpenQuestion holds

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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.