Evidence map›Paper›PMID 30336478›Full record

Observational studyGerontology2019

Beam Walking to Assess Dynamic Balance in Health and Disease: A Protocol for the "BEAM" Multicenter Observational Study.

Tibor Hortobágyi, Azusa Uematsu, Lianne Sanders, Reinhold Kliegl, József Tollár, Renato Moraes, Urs Granacher

Registry-linked trialOpen access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Gerontology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03532984 (Beam Walking to Assess Dynamic Balance in Health and Disease), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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.

NCT03532984 unknown statusnot on this map

Beam Walking to Assess Dynamic Balance in Health and Disease: A Protocol for the 'BEAM' Multi-center Observational Study

TypeobservationalSponsorUniversity Medical Center GroningenRan2018 to 2020Enrolled432ConditionsAging, Parkinson Disease, Stroke, DementiaArmsBeam test to predict falls
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Effects of Hoverboard on Balance in Young Soccer Athletes.Journal of functional morphology and kinesiology · 2020
    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

7 authors at 4 institutions in 4 countries.

Tibor HortobágyiCenter for Human Movement Sciences, University of Groningen Medical Center, Groningen, The Netherlands, t.hortobagyi@umcg.nl.
Azusa UematsuDokkyo Medical University, Shimotsuga-gun, Japan.
Lianne SandersCenter for Human Movement Sciences, University of Groningen Medical Center, Groningen, The Netherlands.
Reinhold KlieglDepartment of Psychology, University of Potsdam, Potsdam, Germany.
József TollárDepartment of Neurology, Somogy County Kaposi Mór Teaching Hospital, Kaposvár, Hungary.
Renato MoraesSchool of Physical Education and Sport of Ribeirão Preto, São Paulo, Brazil.
Urs GranacherDivision of Training and Movement Sciences, University of Potsdam, Potsdam, Germany.
University Medical Center Groningen · NLUniversity of Potsdam · DEDokkyo Medical University · JPSomogy Megyei Kaposi Mór Oktató Kórház · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDynamic balance keeps the vertical projection of the center of mass within the base of support while walking. Dynamic balance tests are used to predict the risks of falls and eventual falls. The psychometric properties of most dynamic balance tests are unsatisfactory and do not comprise an actual loss of balance while walking.

objectivesUsing beam walking distance as a measure of dynamic balance, the BEAM consortium will determine the psychometric properties, lifespan and patient reference values, the relationship with selected "dynamic balance tests," and the accuracy of beam walking distance to predict falls.

methodsThis cross-sectional observational study will examine healthy adults in 7 decades (n = 432) at 4 centers. Center 5 will examine patients (n = 100) diagnosed with Parkinson's disease, multiple sclerosis, stroke, and balance disorders. In test 1, all participants will be measured for demographics, medical history, muscle strength, gait, static balance, dynamic balance using beam walking under single (beam walking only) and dual task conditions (beam walking while concurrently performing an arithmetic task), and several cognitive functions. Patients and healthy participants age 50 years or older will be additionally measured for fear of falling, history of falls, miniBESTest, functional reach on a force platform, timed up and go, and reactive balance. All participants age 50 years or older will be recalled to report fear of falling and fall history 6 and 12 months after test 1. In test 2, seven to ten days after test 1, healthy young adults and age 50 years or older (n = 40) will be retested for reliability of beam walking performance.

conclusionWe expect to find that beam walking performance vis-à-vis the traditionally used balance outcomes predicts more accurately fall risks and falls. CLINICAL TRIAL REGISTRATION NUMBER: NCT03532984.

Indexed as

WalkingAccidental FallsAdultAgedCase-Control StudiesCross-Sectional StudiesFemaleHealthy VolunteersHumansMaleMiddle AgedMultiple SclerosisParkinson DiseasePostural BalanceRisk AssessmentSensation DisordersAgingBalanceDual tasksFallsGait

Identifiers

PMID30336478
PMCPMC6690412
OpenAlexW2895989488

What OpenQuestion holds

Textmetadata
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.