Evidence map›Paper›PMID 38146442›Full record

ArticleFrontiers in neurology2023

A scoping review of scientific concepts concerning motor recovery after stroke as employed in clinical trials.

Martina Favetta, Alberto Romano, Nicola Valè, Blazej Cieslik, Sara Federico, Alessia Girolami, Deborah Mazzarotto, Giorgia Pregnolato, Anna Righetti, Silvia Salvalaggio and 5 more

Abstract readScoping Review
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Optimal Reactive Balance Training Characteristics Poststroke: Secondary Analysis of a Clinical Trial.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. 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

15 authors.

Martina Favetta *Movement Analysis and Robotics Laboratory (MARlab), Neurorehabilitation Unit, Neurological Science and Neurorehabilitation Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Alberto Romano *Movement Analysis and Robotics Laboratory (MARlab), Neurorehabilitation Unit, Neurological Science and Neurorehabilitation Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Nicola Valè *Neuromotor and Cognitive Rehabilitation Research Center (CRRNC), Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Blazej CieslikLaboratory of Healthcare Innovation Technology, IRCCS San Camillo Hospital, Venice, Italy.
Sara FedericoLaboratory of Healthcare Innovation Technology, IRCCS San Camillo Hospital, Venice, Italy.
Alessia GirolamiSpondilos Lab Centro Medico and Riabilitazione, Pordenone, Italy.
Deborah MazzarottoMedicina Fisica e Riabilitazione, ULSS 4 Veneto Orientale, Jesolo, Italy.
Giorgia PregnolatoLaboratory of Healthcare Innovation Technology, IRCCS San Camillo Hospital, Venice, Italy.
Anna RighettiNeuromotor and Cognitive Rehabilitation Research Center (CRRNC), Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Silvia SalvalaggioLaboratory of Computational Neuroimaging, IRCCS San Camillo Hospital, Venice, Italy.
Enrico CastelliMovement Analysis and Robotics Laboratory (MARlab), Neurorehabilitation Unit, Neurological Science and Neurorehabilitation Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Nicola SmaniaNeuromotor and Cognitive Rehabilitation Research Center (CRRNC), Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.
Stefano BargellesiPhysical Medicine and Rehabilitation Unit, Azienda ULSS 3 Serenissima, Venezia, Italy.
Pawel KiperLaboratory of Healthcare Innovation Technology, IRCCS San Camillo Hospital, Venice, Italy.
Maurizio PetrarcaMovement Analysis and Robotics Laboratory (MARlab), Neurorehabilitation Unit, Neurological Science and Neurorehabilitation Area, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scientific literature on poststroke rehabilitation is remarkably vast. Over the last decades, dozens of rehabilitation approaches have been investigated. However, sometimes it is challenging to trace new experimental interventions back to some of the known models of motor control and sensorimotor learning. This scoping review aimed to investigate motor control models' diffusion among the literature on motor recovery after stroke. We performed a literature search on Medline, Cochrane, Web of Science, Embase, and Scopus databases. The last search was conducted in September 2023. This scoping review included full-text articles published in English in peer-reviewed journals that provided rehabilitation interventions based on motor control or motor learning frameworks for at least one individual with stroke. For each study, we identified the theoretical framework the authors used to design the experimental treatment. To this aim, we used a previously proposed classification of the known models of motor control, dividing them into the following categories: neuroanatomy, robotics, self-organization, and ecological context. In total, 2,185 studies were originally considered in this scoping review. After the screening process, we included and analyzed 45 studies: 20 studies were randomized controlled trials, 12 were case series, 4 were case reports, 8 were observational longitudinal pilot studies, and 1 was an uncontrolled trial. Only 10 studies explicitly declared the reference theoretical model. Considering their classification, 21 studies referred to the robotics motor control model, 12 to the self-organization model, 8 to the neuroanatomy model, and 4 to the ecological model. Our results showed that most of the rehabilitative interventions purposed in stroke rehabilitation have no clear theoretical bases on motor control and motor learning models. We suggest this is an issue that deserves attention when designing new experimental interventions in stroke rehabilitation.

Indexed as

motor controlmotor disordersmotor learningneurological rehabilitationstroketreatment outcome

Identifiers

PMID38146442
PMCPMC10749504

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.