Evidence map›Paper›PMID 36981992›Full record

ArticleInternational journal of environmental research and public health2023

Clinical Features to Predict the Use of a sEMG Wearable Device (REMO

Giorgia Pregnolato, Daniele Rimini, Francesca Baldan, Lorenza Maistrello, Silvia Salvalaggio, Nicolò Celadon, Paolo Ariano, Candido Fabrizio Pirri, Andrea Turolla

2 registry-linked trialsFull text read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

NCT05815368 naunknown statusnot on this map

REcovery of Hand Motor Function in Stroke Rehabilitation: Efficacy of a Task-Oriented Protocol Provided by a sEMG-biofeedback Wearable Device (REMO)

TypeinterventionalSponsorIRCCS San Camillo, Venezia, ItalyRan2022 to 2025Enrolled28ConditionsStroke, Stroke, Ischemic, Stroke Hemorrhagic, Stroke SequelaeArmsREMO, Task-Oriented Training
NCT06574737 recruitingnot on this mapstarted 2024, after this paper: background citation

Use of Surface Electromyography as a Tools to Predict Upper Extremity Recovery Function After Stroke

Typeobservational_patient_registrySponsorUniversitas PadjadjaranRan2024 to 2025Enrolled30ConditionsUpper Extremity Paresis, Muscle Contracture Upper Arm, Stroke
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. 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

9 authors.

Giorgia PregnolatoLaboratory of Healthcare Innovation Technology, IRCCS San Camillo Hospital, Via Alberoni 70, 30126 Venice, Italy.ORCID 0000-0002-4622-6393
Daniele RiminiMedical Physics Department, Salford Care Organisation, Northern Care Alliance, Salford M6 8HD, UK.ORCID 0000-0001-7170-7052
Francesca BaldanFisioSPORT Terraglio s.r.l., 30174 Venezia, Italy.
Lorenza MaistrelloLaboratory of Healthcare Innovation Technology, IRCCS San Camillo Hospital, Via Alberoni 70, 30126 Venice, Italy.
Silvia SalvalaggioLaboratory of Healthcare Innovation Technology, IRCCS San Camillo Hospital, Via Alberoni 70, 30126 Venice, Italy.ORCID 0000-0002-8838-0399
Nicolò CeladonMorecognition s.r.l., 10129 Turin, Italy.
Paolo ArianoMorecognition s.r.l., 10129 Turin, Italy.
Candido Fabrizio PirriArtificial Physiology Group, Center for Sustainable Future Technologies, Istituto Italiano di Tecnologia, Via Livorno 60, 10144 Torino, Italy.
Andrea TurollaDepartment of Biomedical and Neuromotor Sciences-DIBINEM, Alma Mater Studiorum Università di Bologna, Via Massarenti, 9, 40138 Bologna, Italy.ORCID 0000-0002-1609-8060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After stroke, upper limb motor impairment is one of the most common consequences that compromises the level of the autonomy of patients. In a neurorehabilitation setting, the implementation of wearable sensors provides new possibilities for enhancing hand motor recovery. In our study, we tested an innovative wearable (REMO

Indexed as

Motor DisordersStrokeStroke RehabilitationWearable Electronic DevicesCohort StudiesCross-Sectional StudiesHumansMuscle SpasticityTreatment OutcomeUpper Extremityhand gesturemyoelectric controlneurological rehabilitationsurface electromyographyupper extremitywearable technology

Identifiers

PMID36981992
PMCPMC10049214

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read30
identifiers read2
Read underepoch 390

Registered trials

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.