Evidence map›Paper›PMID 39335435›Full record

ArticleBrain sciences2024

Effectiveness of Two Models of Telerehabilitation in Improving Recovery from Subacute Upper Limb Disability after Stroke: Robotic vs. Non-Robotic.

Arianna Pavan, Alessio Fasano, Stefania Lattanzi, Laura Cortellini, Valeria Cipollini, Sabina Insalaco, Maria Cristina Mauro, Marco Germanotta, Irene Giovanna Aprile

Abstract read
In one paragraph

Article in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
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  8. 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.

Arianna PavanNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0009-0001-5214-8248
Alessio FasanoNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0000-0001-7919-5768
Stefania LattanziNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0009-0007-0727-6578
Laura CortelliniNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0009-0001-0661-6442
Valeria CipolliniNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Sabina InsalacoNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.
Maria Cristina MauroNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0009-0007-1182-2869
Marco GermanottaNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0000-0002-0747-831X
Irene Giovanna AprileNeuromotor Rehabilitation Department, IRCCS Fondazione Don Carlo Gnocchi ONLUS, 50143 Florence, Italy.ORCID 0000-0001-8123-9977

Funding

Fondazione Ico FalckMinistero dell'Università e della Ricerca PNC0000007
6 · The paper itself

Abstract

BACKGROUND/

objectivesFinding innovative digital solutions is fundamental to ensure prompt and continuous care for patients with chronic neurological disorders, whose demand for rehabilitation also in home-based settings is steadily increasing. The aim is to verify the safety and the effectiveness of two telerehabilitation (TR) models in improving recovery from subacute upper limb (UL) disability after stroke, with and without a robotic device.

methodsOne hundred nineteen subjects with subacute post-stroke UL disability were assessed for eligibility. Of them, 30 patients were enrolled in the study and randomly assigned to either the Robotic Group (RG), undergoing a 20-session TR program, using a robotic device, or the Non-Robotic Group (NRG), undergoing a 20-session TR program without robotics. Clinical evaluations were measured at baseline (T0) and post-intervention (T1, 5 weeks after baseline), and included assessments of quality of life, motor skills, and clinical/functional status. The primary outcome measure was the World Health Organization Disability Assessment Schedule 2.0, evaluating the change in perceived disability.

resultsStatistical analysis shows that patients of both groups improved significantly over time in all domains analyzed (mean decrease from baseline in the WHODAS 2.0 of 6.09 ± 2.62% for the NRG, and of 0.76 ± 2.21% for the RG), with a greater improvement of patients in the NRG in motor (Fugl-Meyer Assessment Upper Extremity-motor function, Box and Block Test) and cognitive skills (Trail Making Test-A).

conclusionsThis study highlights the potential of TR programs to transform stroke rehabilitation by enhancing accessibility and patient-centered care, promoting autonomy, improving adherence, and leading to better outcomes and quality of life for stroke survivors.

Indexed as

home-basedrehabilitationrehabilitation protocolrobot-assisted rehabilitation trainingroboticsstroketelehealthupper extremityvirtual reality

Identifiers

PMID39335435
PMCPMC11430637

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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.