Evidence map›Paper›PMID 37050485›Full record

SynthesisSensors (Basel, Switzerland)2023

Instrumented Timed Up and Go Test (iTUG)-More Than Assessing Time to Predict Falls: A Systematic Review.

Paulina Ortega-Bastidas, Britam Gómez, Pablo Aqueveque, Soledad Luarte-Martínez, Roberto Cano-de-la-Cuerda

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06345118 (Evaluate the Results of Fall Prevention in Older Adults With Type 2 Diabetes Mellitus), which is not on this map. Cited by 68 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 3 pooled it
75.9field-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.

NCT06345118 narecruitingnot on this mapstarted 2024, after this paper: background citation

Evaluate the Results of Fall Prevention in Older Adults With Type 2 Diabetes Mellitus

TypeinterventionalSponsorNational Geriatric HospitalRan2024 to 2025Enrolled80ConditionsDiabetes Mellitus, Type 2, Fall, Elderly PatientArmsOtago exercise program
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 3 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Paulina Ortega-BastidasHealth Sciences PhD Programme, International Doctoral School, Universidad Rey Juan Carlos, 28922 Madrid, Spain.ORCID 0000-0002-9333-3036
Britam GómezBiomedical Engineering, Faculty of Engineering, Universidad de Santiago de Chile, Libertador Bernardo O'Higgins Av., Santiago 9170022, Chile.ORCID 0000-0001-6563-2955
Pablo AquevequeDepartment of Electrical Engineering, Faculty of Engineering, Universidad de Concepción, 219 Edmundo Larenas St., Concepción 4030000, Chile.ORCID 0000-0001-9101-0383
Soledad Luarte-MartínezKinesiology Department, Faculty of Medicine, Universidad de Concepción, Concepción, 151 Janequeo St., Concepcion 4030000, Chile.ORCID 0000-0003-3429-6412
Roberto Cano-de-la-CuerdaPhysiotherapy, Occupational Therapy, Rehabilitation and Physical Medicine Department, Universidad Rey Juan Carlos, 28922 Madrid, Spain.ORCID 0000-0002-1118-4234
University of Concepción · CLUniversidad de Santiago de Chile · CLUniversidad Rey Juan Carlos · ES

Funding

This research was funded by the Vice-rectory for Research and Development (VRID) of the Universidad de Concepción, Chile. 220.092.003-M.
6 · The paper itself

Abstract

The Timed Up and Go (TUG) test is a widely used tool for assessing the risk of falls in older adults. However, to increase the test's predictive value, the instrumented Timed Up and Go (iTUG) test has been developed, incorporating different technological approaches. This systematic review aims to explore the evidence of the technological proposal for the segmentation and analysis of iTUG in elderlies with or without pathologies. A search was conducted in five major databases, following PRISMA guidelines. The review included 40 studies that met the eligibility criteria. The most used technology was inertial sensors (75% of the studies), with healthy elderlies (35%) and elderlies with Parkinson's disease (32.5%) being the most analyzed participants. In total, 97.5% of the studies applied automatic segmentation using rule-based algorithms. The iTUG test offers an economical and accessible alternative to increase the predictive value of TUG, identifying different variables, and can be used in clinical, community, and home settings.

Indexed as

Accidental FallsParkinson DiseaseAgedHumansPhysical Therapy ModalitiesPostural BalanceTime and Motion Studieselderlyinstrumented timed up and gorisk of falls

Identifiers

PMID37050485
PMCPMC10098780
OpenAlexW4360864612

What OpenQuestion 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 OpenQuestion graph.