Evidence map›Paper›PMID 38566622›Full record

ArticleFrontiers in rehabilitation sciences2024

Relationship between Timed Up and Go performance and quantitative biomechanical measures of balance.

Prasad Tendolkar, Oluwaseun Ibironke, Giorgia Marchesi, Alice De Luca, Valentina Squeri, Karen J Nolan, Rakesh Pilkar, Kiran K Karunakaran

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in rehabilitation sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07382999 (Effect of Adherence to a Gluten-Free Diet on Cognitive and Motor Dual-Task Performance in Adolescents Diagnosed With Celiac Disease), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.6field-weighted citation impact, top 5% 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.

NCT07382999 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of Adherence to a Gluten-Free Diet on Cognitive and Motor Dual-Task Performance in Adolescents Diagnosed With Celiac Disease

TypeobservationalSponsorInonu UniversityRan2026 to 2026Enrolled82ConditionsCeliac Disease in Children, Celiac Disease in Adolescents
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 5 institutions in 2 countries.

Prasad TendolkarCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, United States.
Oluwaseun IbironkeCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, United States.
Giorgia MarchesiMovendo Technology S.r.l., Genoa, Italy.
Alice De LucaMovendo Technology S.r.l., Genoa, Italy.
Valentina SqueriMovendo Technology S.r.l., Genoa, Italy.
Karen J NolanCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, United States.
Rakesh PilkarCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, United States.
Kiran K KarunakaranCenter for Mobility and Rehabilitation Engineering Research, Kessler Foundation, West Orange, NJ, United States.
Technology Transfer and Innovation (Italy) · ITKessler Foundation · USPensacola Historical Society · USRutgers New Jersey Medical SchoolRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) impairs sensory-motor functions, with debilitating consequences on postural control and balance, which persist during the chronic stages of recovery. The Timed Up and Go (TUG) test is a reliable, safe, time-efficient, and one of the most widely used clinical measures to assess gait, balance, and fall risk in TBI patients and is extensively used in inpatient and outpatient settings. Although the TUG test has been used extensively due to its ease of performance and excellent reliability, limited research has been published that investigates the relationship between TUG performance and quantitative biomechanical measures of balance. The objective of this paper was to quantify the relationship between biomechanical variables of balance and the TUG scores in individuals with chronic TBI. Regression models were constructed using six biomechanical variables to predict TUG scores. The model that conservatively removed gait speed (i.e., TUG-1/GS) gave the best results, achieving a root-mean-square error of ∼±2 s and explaining over 69% of the variability.

Indexed as

balancebiomechanicalrehabilitationTimed Up and Gotraumatic brain injury

Identifiers

PMID38566622
PMCPMC10985617
OpenAlexW4392958768

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.