Evidence map›Paper›PMID 41595364›Full record

ArticleHealthcare (Basel, Switzerland)2026

IFRA: A Machine Learning-Based Instrumented Fall Risk Assessment Scale Derived from an Instrumented Timed Up and Go Test in Stroke Patients.

Simone Macciò, Alessandro Carfì, Alessio Capitanelli, Peppino Tropea, Massimo Corbo, Fulvio Mastrogiovanni, Michela Picardi

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Simone MacciòTeseo Srl, P.zza Nicolò Montano 2A/1, 16151 Genoa, Italy.ORCID 0000-0002-0698-0631
Alessandro CarfìDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Viale Causa 13, 16145 Genoa, Italy.ORCID 0000-0001-9208-6910
Alessio CapitanelliTeseo Srl, P.zza Nicolò Montano 2A/1, 16151 Genoa, Italy.ORCID 0000-0001-8495-5987
Peppino TropeaCantoniLab, Via Giovanni Cantoni 7, 20144 Milan, Italy.ORCID 0000-0001-8238-9619
Massimo CorboNeed Institute, Foundation for the Cure and Rehabilitation of Neurological Diseases, 20121 Milan, Italy.ORCID 0000-0003-0793-9830
Fulvio MastrogiovanniDepartment of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Viale Causa 13, 16145 Genoa, Italy.ORCID 0000-0001-5913-1898
Michela PicardiDepartment of Neurorehabilitation Sciences, Casa di Cura Igea, Via Dezza 48, 20144 Milan, Italy.ORCID 0000-0001-7996-1530

Funding

Ministero dell'università e della ricerca ECS00000035Ministero dell'università e della ricerca PNC0000007
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

fall riskinertial measurement unitsInstrumented Timed Up and Go testmachine learningmobility impairmentstroke rehabilitation

Identifiers

PMID41595364
PMCPMC12841214

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.