Evidence map›Paper›PMID 39120688›Full record

ArticleGeroScience2025

Discriminative ability of instrumented cognitive-motor assessments to distinguish fallers from non-fallers.

Julia Seinsche, Elena Kyprianou, Eling D de Bruin, Enrico Saibene, Francesco Rizzo, Ilaria Carpinella, Lisa Lutz, Maurizio Ferrarin, Riccardo Villa, Savvina Chrysostomou and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07074639 (S.M.A.R.T), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.

NCT07074639 narecruitingnot on this map

S.M.A.R.T: A Pragmatic Randomised Controlled Trial of Personalized Cognitive-Motor Exergame Training in Frail Community-Dwelling Adults

TypeinterventionalSponsorEleftheria GiannouliRan2025 to 2027Enrolled344ConditionsAging, FrailtyArmsPersonalized, home-based motor-cognitive exergame training, Otago Exercise Program
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Julia SeinscheDepartment of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Elena KyprianouMateria Group, Nicosia, Cyprus.
Eling D de BruinDepartment of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.
Enrico SaibeneIstituto di Ricovero e Cura a Carattere Scientifico, Fondazione Don Carlo Gnocchi Onlus, Milan, Italy.
Francesco RizzoIstituto di Ricovero e Cura a Carattere Scientifico, Fondazione Don Carlo Gnocchi Onlus, Milan, Italy.
Ilaria CarpinellaIstituto di Ricovero e Cura a Carattere Scientifico, Fondazione Don Carlo Gnocchi Onlus, Milan, Italy.
Lisa LutzInstitute of Physiotherapy, ZHAW School of Health Sciences, Winterthur, Switzerland.
Maurizio FerrarinIstituto di Ricovero e Cura a Carattere Scientifico, Fondazione Don Carlo Gnocchi Onlus, Milan, Italy.
Riccardo VillaIstituto di Ricovero e Cura a Carattere Scientifico, Fondazione Don Carlo Gnocchi Onlus, Milan, Italy.
Savvina ChrysostomouMateria Group, Nicosia, Cyprus.
Sotiria MozaMateria Group, Nicosia, Cyprus.
Eleftheria GiannouliDepartment of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland. eleftheria.giannouli@hest.ethz.ch.ORCID 0000-0001-7762-1348

Funding

Active and Assisted Living programme aal-2020-7-145-CP
6 · The paper itself

Abstract

In older populations, sensitive fall risk assessment tools are important to timely intervene and prevent falls. Instrumented assessments have shown to be superior to standardized fall risk assessments such as the Timed Up and Go Test (TUG) and should capture both motor and cognitive functions. Therefore, the aim was to test novel instrumented assessments with and without a cognitive component. One hundred thirty-seven older adults aged 73.1 ± 7.3 years, 38 categorized as fallers and 99 as non-fallers, conducted five instrumented assessments on the Dividat Senso, a pressure sensitive stepping platform, and three standardized geriatric assessments (TUG, TUG-dual task, 30-s Sit-to-Stand Test (STS)). T-tests were applied to compare the test performance of fallers versus non-fallers. Furthermore, logistic regression analyses and area under the curve (AUC) analyses were performed. Statistically significant differences between fallers and non-fallers were found in the Go/No-Go test (p = .001, d = .72), the TUG (p = .014, d = .48), and the STS (p = .008, d = .51). Only the Go/No-Go test contributed significantly to all regression models. Significant AUC values were found for the Reaction Time Test (RTT) (AUC = .628, p = .023), Go/No-Go (AUC = .673, p = .002), TUG (AUC = .642, p = .012), and STS (AUC = .690, p = .001). The Go/No-Go test measuring inhibition showed the best discriminative ability suggesting added value of instrumented assessments with a cognitive component for clinical fall risk assessment in relatively healthy older adults. The study should be extended with a frailer population, in which TUG and the other instrumented assessments are possibly good predictors as well.

Indexed as

Accidental FallsCognitionGeriatric AssessmentAgedAged, 80 and overFemaleHumansMalePostural BalanceRisk AssessmentBalanceExecutive functionsFall riskGeriatric assessmentsPostural sway

Identifiers

PMID39120688
PMCPMC11872953

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.