Evidence map›Paper›PMID 36189078›Full record

ArticleFrontiers in rehabilitation sciences2022

Characterizing the Gait of People With Different Types of Amputation and Prosthetic Components Through Multimodal Measurements: A Methodological Perspective.

Cristiano De Marchis, Simone Ranaldi, Tiwana Varrecchia, Mariano Serrao, Stefano Filippo Castiglia, Antonella Tatarelli, Alberto Ranavolo, Francesco Draicchio, Francesco Lacquaniti, Silvia Conforto

Abstract read
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Article in Frontiers in rehabilitation sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

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

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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.

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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

10 authors.

Cristiano De MarchisDepartment of Industrial, Electronics and Mechanical Engineering, Roma Tre University, Rome, Italy.
Simone RanaldiDepartment of Industrial, Electronics and Mechanical Engineering, Roma Tre University, Rome, Italy.
Tiwana VarrecchiaDepartment of Medicine, Epidemiology, Occupational and Environmental Hygiene, National Institute for Insurance Against Accidents at Work (INAIL), Rome, Italy.
Mariano SerraoDepartment of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy.
Stefano Filippo CastigliaDepartment of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy.
Antonella TatarelliDepartment of Human Neurosciences, Faculty of Medicine and Dentistry, Sapienza University of Rome, Rome, Italy.
Alberto RanavoloDepartment of Medicine, Epidemiology, Occupational and Environmental Hygiene, National Institute for Insurance Against Accidents at Work (INAIL), Rome, Italy.
Francesco DraicchioDepartment of Medicine, Epidemiology, Occupational and Environmental Hygiene, National Institute for Insurance Against Accidents at Work (INAIL), Rome, Italy.
Francesco LacquanitiDepartment of Systems Medicine and Center of Space Biomedicine, University of Rome Tor Vergata, Rome, Italy.
Silvia ConfortoDepartment of Industrial, Electronics and Mechanical Engineering, Roma Tre University, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prosthetic gait implies the use of compensatory motor strategies, including alterations in gait biomechanics and adaptations in the neural control mechanisms adopted by the central nervous system. Despite the constant technological advancements in prostheses design that led to a reduction in compensatory movements and an increased acceptance by the users, a deep comprehension of the numerous factors that influence prosthetic gait is still needed. The quantitative prosthetic gait analysis is an essential step in the development of new and ergonomic devices and to optimize the rehabilitation therapies. Nevertheless, the assessment of prosthetic gait is still carried out by a heterogeneous variety of methodologies, and this limits the comparison of results from different studies, complicating the definition of shared and well-accepted guidelines among clinicians, therapists, physicians, and engineers. This perspective article starts from the results of a project funded by the Italian Worker's Compensation Authority (INAIL) that led to the generation of an extended dataset of measurements involving kinematic, kinetic, and electrophysiological recordings in subjects with different types of amputation and prosthetic components. By encompassing different studies published along the project activities, we discuss the specific information that can be extracted by different kinds of measurements, and we here provide a methodological perspective related to multimodal prosthetic gait assessment, highlighting how, for designing improved prostheses and more effective therapies for patients, it is of critical importance to analyze movement neural control and its mechanical actuation as a whole, without limiting the focus to one specific aspect.

Indexed as

electromyograhy (EMG)gait analysislower limb amputationmultimodal characterizationmuscle synergiesneuromechanicsprostheses

Identifiers

PMID36189078
PMCPMC9397865

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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.