Evidence map›Paper›PMID 31073188›Full record

ArticleScientific reports2019

Gait training using a robotic hip exoskeleton improves metabolic gait efficiency in the elderly.

Elena Martini, Simona Crea, Andrea Parri, Luca Bastiani, Ugo Faraguna, Zach McKinney, Raffaello Molino-Lova, Lorenza Pratali, Nicola Vitiello

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.

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  14. Online Adaptation Framework Enables Personalization of Exoskeleton Assistance During Locomotion in Patients Affected by Stroke.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025
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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

9 authors at 3 institutions in 1 country.

Elena MartiniThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy. elena.martini@santannapisa.it.
Simona CreaThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Andrea ParriThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Luca BastianiInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Ugo FaragunaInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Zach McKinneyThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Raffaello Molino-LovaFondazione Don Carlo Gnocchi, Milan, Italy.
Lorenza PrataliInstitute of Clinical Physiology, National Research Council, Pisa, Italy.
Nicola VitielloThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Don Carlo Gnocchi Foundation · ITIstituto di Fisiologia Clinica · ITScuola Superiore Sant'Anna · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic exoskeletons are regarded as promising technologies for neurological gait rehabilitation but have been investigated comparatively little as training aides to facilitate active aging in the elderly. This study investigated the feasibility of an exoskeletal Active Pelvis Orthosis (APO) for cardiopulmonary gait training in the elderly. Ten healthy elderly volunteers exhibited a decreased (-26.6 ± 16.1%) Metabolic Cost of Transport (MCoT) during treadmill walking following a 4-week APO-assisted training program, while no significant changes were observed for a randomly assigned control group (n = 10) performing traditional self-paced overground walking. Moreover, robot-assisted locomotion was found to require 4.24 ± 2.57% less oxygen consumption than free treadmill walking at the same speed. These findings support the adoption of exoskeletal devices for the training of frail individuals, thus opening new possibilities for sustainable strategies for healthy aging.

Indexed as

Exoskeleton DeviceWalkingAgedExerciseFemaleHipHumansMaleOxygen ConsumptionPelvisProgram Evaluation

Identifiers

PMID31073188
PMCPMC6509339
OpenAlexW2944344930

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.