Evidence map›Paper›PMID 37780489›Full record

ReviewClinical parkinsonism & related disorders2023

Automated mechanical peripheral stimulation for gait rehabilitation in Parkinson's disease: A comprehensive review.

Roberto Tedeschi

Open access · goldAbstract readReview
In one paragraph

Review in Clinical parkinsonism & related disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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.

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

9 citing papers in PubMed, 22 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

1 author at 1 institution in 1 country.

Roberto TedeschiDepartment of Biomedical and Neuromotor Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
University of Bologna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Automated Mechanical Peripheral Stimulation (AMPS) has emerged as a potential rehabilitative intervention for gait abnormalities in Parkinson's disease (PD). However, the long-term effects and combined therapy with physical exercise remain unclear. This review aimed to explore the effects of automated mechanical peripheral stimulation (AMPS) on gait and motor performance in individuals with Parkinson's disease (PD). Methods: A research was conducted in relevant databases to identify studies investigating the effects of AMPS on gait and motor outcomes in PD patients. Inclusion criteria were set based on Population, Concept, and Context (PCC) criteria. Data extraction and analysis were performed to synthesize the findings. Results: Ten studies met the inclusion criteria and were included in the review. The studies collectively demonstrated positive effects of AMPS on gait parameters, such as walking velocity, stride length, and walking stability. Some studies also reported improvements in functional performance and muscle activation during walking. Conclusions: The findings suggest that AMPS holds promise as a potential intervention to improve gait and motor performance in individuals with PD. However, the evidence is limited, and further well-designed randomized controlled trials are needed to establish the long-term efficacy and optimal protocols for AMPS in PD rehabilitation.

Indexed as

Automated mechanical peripheral stimulation (AMPS)Freezing of gaitMotor performanceParkinson's diseasePhysical therapy

Identifiers

PMID37780489
PMCPMC10539662
OpenAlexW4386986513

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.