Evidence map›Paper›PMID 41682354›Full record

ArticleSensors (Basel, Switzerland)2026

Assessment of Fall Risk in Neurological Disorders and Technology: Relationship Between Silver Index and Gait Analysis.

Letizia Castelli, Chiara Iacovelli, Anna Maria Malizia, Claudia Loreti, Lorenzo Biscotti, Pietro Caliandro, Anna Rita Bentivoglio, Paolo Calabresi, Silvia Giovannini

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
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

9 authors.

Letizia CastelliDepartment of Neurosciences, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0001-9455-3789
Chiara IacovelliDepartment of Emergency, Anaesthesiology and Intensive Care Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-3547-6055
Anna Maria MaliziaUOSD Riabilitazione Multidimensionale e Tecnologie Integrate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
Claudia LoretiDepartment of Emergency, Anaesthesiology and Intensive Care Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0002-0835-4079
Lorenzo BiscottiUnità Supporto Amministrativo Dipartimenti Universitari, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0003-1246-9546
Pietro CaliandroDepartment of Neurosciences, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0002-1190-4879
Anna Rita BentivoglioDepartment of Neurosciences, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0002-9663-095X
Paolo CalabresiDepartment of Neurosciences, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.ORCID 0000-0003-0326-5509
Silvia GiovanniniUOSD Riabilitazione Multidimensionale e Tecnologie Integrate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.ORCID 0000-0001-9125-752X

Funding

talian Ministry of Health, Direzione Generale dei Dispositivi Medici e del Servizio Farmaceutico "Realizzazione di un progetto pilota da effettuarsi nell'ambito di un programma di fattibilità precoce su dispositivi medici da utilizzarsi nel settore nella neurologia", 2019
6 · The paper itself

Abstract

Falls are one of the most common and devastating effects of neurological diseases, especially in patients with stroke outcomes, Parkinson's Disease (PD), and Multiple Sclerosis (MS). To prevent negative outcomes and guide tailored rehabilitation, it is necessary to identify risk factors early. The current study aims to assess whether and how the risk of falling is related to spatiotemporal and kinematic parameters in stroke, PD, and MS. It also seeks to determine how these factors can help manage patients and identify more personalized and appropriate rehabilitation treatments. Ninety patients with neurological disorders (stroke, PD, and MS) underwent eight weeks of home-based rehabilitation using the ARC Intellicare device or following a paper-based protocol. At baseline (T0) and at the end of the protocol (T2), they were assessed using the Silver Index of the hunova

Indexed as

Accidental FallsGaitGait AnalysisNervous System DiseasesAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedMultiple SclerosisParkinson DiseaseRisk FactorsStrokeWalkingbalancefallsgait analysisinnovative technologiesneurological disease

Identifiers

PMID41682354
PMCPMC12899951

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.