Evidence map›Paper›PMID 31681149›Full record

ArticleFrontiers in neurology2019

An Immersive Motor Protocol for Frailty Rehabilitation.

Elisa Pedroli, Pietro Cipresso, Luca Greci, Sara Arlati, Lorenzo Boilini, Laura Stefanelli, Monica Rossi, Karine Goulene, Marco Sacco, Marco Stramba-Badiale and 2 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Frailty: future prospectives in rehabilitation medicine.European journal of translational myology · 2023
    Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. 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

12 authors.

Elisa PedroliApplied Technology for Neuro-Psychology Lab, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.
Pietro CipressoApplied Technology for Neuro-Psychology Lab, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.
Luca GreciInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council, Milan, Italy.
Sara ArlatiInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council, Milan, Italy.
Lorenzo BoiliniDepartment of Geriatrics and Cardiovascular Medicine, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.
Laura StefanelliDepartment of Geriatrics and Cardiovascular Medicine, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.
Monica RossiDepartment of Geriatrics and Cardiovascular Medicine, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.
Karine GouleneDepartment of Geriatrics and Cardiovascular Medicine, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.
Marco SaccoInstitute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council, Milan, Italy.
Marco Stramba-BadialeDepartment of Geriatrics and Cardiovascular Medicine, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.
Andrea GaggioliApplied Technology for Neuro-Psychology Lab, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.
Giuseppe RivaApplied Technology for Neuro-Psychology Lab, Istituto Auxologico Italiano - Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frailty is a pre-clinical condition that worsens physical health and quality of life. One of the most frequent symptoms of frailty is an increased risk of falling. In order to reduce this risk, we propose an innovative virtual reality motor rehabilitation program based on an immersive tool. All exercises will take place in the CAVE, a four-screen room with a stationary bike. The protocol will include two types of exercises for the improvement of balance: "Positive Bike" and "Avoid the Rocks." We will choose evaluation scales related to the functional aspects and subjective perception of balance. Our aim is to prove that our innovative motor rehabilitation protocol is as effective as or more effective than classical rehabilitation.

Indexed as

balanceCAVEelderlyfrailtymotor rehabilitationrisk of fallsstationary bikevirtual reality

Identifiers

PMID31681149
PMCPMC6803811

What OpenQuestion 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 OpenQuestion graph.