Evidence map›Paper›PMID 37469951›Full record

ArticleFrontiers in aging neuroscience2023

Prediction of rehabilitation induced motor recovery after stroke using a multi-dimensional and multi-modal approach.

Silvia Salvalaggio, Andrea Turolla, Martina Andò, Rita Barresi, Francesca Burgio, Pierpaolo Busan, Anna Maria Cortese, Daniela D'Imperio, Laura Danesin, Giulio Ferrazzi and 11 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Combined transcranial direct current stimulation and mirror therapy for upper limb rehabilitation in patients with stroke: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. Article
  3. 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

21 authors.

Silvia SalvalaggioIRCCS San Camillo Hospital, Venice, Italy.
Andrea TurollaDepartment of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater Studiorum - Università di Bologna, Bologna, Italy.
Martina AndòIRCCS San Camillo Hospital, Venice, Italy.
Rita BarresiIRCCS San Camillo Hospital, Venice, Italy.
Francesca BurgioIRCCS San Camillo Hospital, Venice, Italy.
Pierpaolo BusanIRCCS San Camillo Hospital, Venice, Italy.
Anna Maria CorteseDepartment of Rehabilitation Medicine, AULSS 3 Serenissima, Venice, Italy.
Daniela D'ImperioIRCCS San Camillo Hospital, Venice, Italy.
Laura DanesinIRCCS San Camillo Hospital, Venice, Italy.
Giulio FerrazziPhilips Healthcare, Milan, Italy.
Lorenza MaistrelloIRCCS San Camillo Hospital, Venice, Italy.
Eleonora MascottoDepartment of Physical Medicine and Rehabilitation, Venice Hospital, Venice, Italy.
Ilaria ParrottaIRCCS San Camillo Hospital, Venice, Italy.
Rachele PezzettaIRCCS San Camillo Hospital, Venice, Italy.
Elena RigonIRCCS San Camillo Hospital, Venice, Italy.
Anna VedovatoGeneral Hospital San Camillo of Treviso, Treviso, Italy.
Sara ZagoIRCCS San Camillo Hospital, Venice, Italy.
Marco ZorziIRCCS San Camillo Hospital, Venice, Italy.
Giorgio ArcaraIRCCS San Camillo Hospital, Venice, Italy.
Dante MantiniIRCCS San Camillo Hospital, Venice, Italy.
Nicola FilippiniIRCCS San Camillo Hospital, Venice, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke is a debilitating disease affecting millions of people worldwide. Despite the survival rate has significantly increased over the years, many stroke survivors are left with severe impairments impacting their quality of life. Rehabilitation programs have proved to be successful in improving the recovery process. However, a reliable model of sensorimotor recovery and a clear identification of predictive markers of rehabilitation-induced recovery are still needed. This article introduces the cross-modality protocols designed to investigate the rehabilitation treatment's effect in a group of stroke survivors. Methods/design: A total of 75 stroke patients, admitted at the IRCCS San Camillo rehabilitation Hospital in Venice (Italy), will be included in this study. Here, we describe the rehabilitation programs, clinical, neuropsychological, and physiological/imaging [including electroencephalography (EEG), transcranial magnetic stimulation (TMS), and magnetic resonance imaging (MRI) techniques] protocols set up for this study. Blood collection for the characterization of predictive biological biomarkers will also be taken. Measures derived from data acquired will be used as candidate predictors of motor recovery. Discussion/summary: The integration of cutting-edge physiological and imaging techniques, with clinical and cognitive assessment, dose of rehabilitation and biological variables will provide a unique opportunity to define a predictive model of recovery in stroke patients. Taken together, the data acquired in this project will help to define a model of rehabilitation induced sensorimotor recovery, with the final aim of developing personalized treatments promoting the greatest chance of recovery of the compromised functions.

Indexed as

biomarkersneuroimagingneurophysiologypredictionprognosisrehabilitation-induced recoverystrokeupper limb

Identifiers

PMID37469951
PMCPMC10352609

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Registered trials

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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.