Evidence map›Paper›PMID 39944536›Full record

ArticleFrontiers in neurology2025

Tailoring robot-assisted arm training to individuals with stroke: bridging neuroscience principles and clinical practice.

Giovanni Morone, Marco Tramontano, Stefano Paolucci, Antonio Cerasa, Irene Ciancarelli, Alex Martino Cinnera, Marco Iosa, Rocco Salvatore Calabrò

Abstract read
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

4 citing papers in PubMed.

  1. Trial
  2. Trial
  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

8 authors.

Giovanni MoroneDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Marco TramontanoDepartment of Biomedical and Neuromotor Science, University of Bologna, Bologna, Italy.
Stefano PaolucciIRCCS Santa Lucia Foundation, Rome, Italy.
Antonio CerasaInstitute of BioImaging and Complex Biological Systems, National Research Council (IBSBC-CNR), Catanzaro, Italy.
Irene CiancarelliDepartment of Life, Health and Environmental Sciences, University of L'Aquila, L'Aquila, Italy.
Alex Martino CinneraIRCCS Santa Lucia Foundation, Rome, Italy.
Marco IosaIRCCS Santa Lucia Foundation, Rome, Italy.
Rocco Salvatore CalabròIRCCS Bonino Pulejo Neurology Center, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-assisted arm training (RAAT) has demonstrated promising potential in improving rehabilitation outcomes for individuals with neurological conditions, particularly stroke. Despite 20 years of their use in clinical and research settings, there are still significant needs to be made concerning clinical indications. In the present perspective manuscript, we provide some hypotheses of the suitability of different RAAT according to the features of the available devices and clinical characteristics, showing their limitations and strengths. Several factors were considered in the optimization of RAAT intervention, including the technological characteristics of the devices (e.g., support and constriction), the residual upper limb motor function, and the clinical phase of stroke. Finally, we outline key areas for improvement to advance the field in the near future and provide neuroscientific bases for hypotheses of tailored RAAT training to improve the outcome of robotic rehabilitation.

Indexed as

exoskeleton devicesrehabilitationrobotic devicesstrokeupper extremity

Identifiers

PMID39944536
PMCPMC11813764

What OpenQuestion 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 OpenQuestion graph.