Evidence map›Paper›PMID 37337288›Full record

ArticleArchives of physiotherapy2023

Patient's assessment and prediction of recovery after stroke: a roadmap for clinicians.

Silvia Salvalaggio, Leonardo Boccuni, Andrea Turolla

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Archives of physiotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06574737 (Use of Surface Electromyography as a Tools to Predict Upper Extremity Recovery Function After Stroke), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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.

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

3 citing papers in PubMed, 10 citations in OpenAlex.

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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

3 authors at 3 institutions in 2 countries.

Silvia SalvalaggioLaboratory of Computational Neuroimaging, IRCCS San Camillo Hospital, Venezia, Italy.
Leonardo BoccuniInstitut Guttmann, Institut Universitari de Neurorehabilitació Adscrit a La UAB, Badalona, Barcelona, Spain.
Andrea TurollaDepartment of Biomedical and Neuromotor Sciences (DIBINEM), Alma Mater University of Bologna, Via Massarenti, 9, 40138, Bologna, Italy. andrea.turolla@unibo.it.ORCID http://orcid.org/0000-0002-1609-8060
Azienda USL di Bologna · ITUniversitat Autònoma de Barcelona · ESUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn neurorehabilitation clinical practice, assessment is usually more oriented to evaluate patient's present status, than to plan interventions according to predicted outcomes. Therefore, we conducted an extensive review of current prognostic models available in the literature for recovery prediction of many functions and constructs, after stroke. We reported results in the form of a practical guide for clinicians, with the aim of promoting the culture of early clinical assessment for patient stratification, according to expected outcome. To define a roadmap for clinicians, a stepwise sequence of five actions has been developed, from collecting information of past medical history to the adoption of validated prediction tools. Furthermore, a clinically-oriented organization of available prediction tools for recovery after stroke have been proposed for motor, language, physiological and independency functions. Finally, biomarkers and online resources with prognostic value have been reviewed, to give the most updated state of the art on prediction tools after stroke. RECOMMENDATIONS FOR CLINICAL PRACTICE: Clinical assessment should be directed both towards the objective evaluation of the present health status, and to the prediction of expected recovery. The use of specific outcome measures with predictive value is recommended to help clinicians with the definition of sound therapeutic goals.

Indexed as

AssessmentClinical-guideMotor recoveryNeurological physiotherapyPredictionPrognosisStroke

Identifiers

PMID37337288
PMCPMC10278330
OpenAlexW4381250269

What OpenQuestion holds

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LicenceCC BY
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.