Evidence map›Paper›PMID 29973978›Full record

SynthesisJournal of healthcare engineering2018

Assessing Effectiveness and Costs in Robot-Mediated Lower Limbs Rehabilitation: A Meta-Analysis and State of the Art.

Giorgio Carpino, Alessandra Pezzola, Michele Urbano, Eugenio Guglielmelli

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Giorgio CarpinoLaboratory of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.ORCID 0000-0001-6553-9873
Alessandra PezzolaLaboratory of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Michele UrbanoPolyclinic General Direction, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.
Eugenio GuglielmelliLaboratory of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, 00128 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robots were introduced in rehabilitation in the 90s to meet different needs, that is, reducing the physical effort of therapists. This work consists of a meta-analysis of robot-mediated lower limbs rehabilitation for stroke-affected patients; it aims at evaluating the effectiveness of the robotic approach through the use of wearable robots or operational machines with respect to the conventional approach (i.e., manual rehabilitation therapy). The primary assessed outcome is the patient's ability to recover walking independence, whereas the secondary outcome is the average walking speed. The therapy acceptability and the treatment costs are also assessed. The assessment shows that the robot-mediated therapy is more effective than the conventional one in reaching the primary outcome. As for the secondary outcome, there is no significant difference between the robotic (wearable robots or operational machines) and the conventional approach. Rehabilitation using wearable robots has a greater acceptability than the conventional one. This does not apply to operational machines. The cost of robotic treatment with wearable robots ranges from double to triple the cost of the conventional approach. On the contrary, rehabilitation using operational machines costs the same as the conventional treatment. Robotic rehabilitation based on operational machines is the most cost-effective approach.

Indexed as

Biomechanical PhenomenaCost-Benefit AnalysisGaitHealth Care CostsHumansLower ExtremityOutcome Assessment, Health CareRehabilitationRoboticsStroke RehabilitationWalkingWearable Electronic Devices

Identifiers

PMID29973978
PMCPMC6009012

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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.