Evidence map›Paper›PMID 42141217›Full record

ReviewAnnals of biomedical engineering2026

Unveiling the Clinical Impact of Lower Limb Robotic Devices in Neurorehabilitation: An Umbrella Review.

Maria Giovanna Verrengia, Valerio Antonio Arcobelli, Giada Lullini, Sabato Mellone, Stefano Mazzoleni, Lorenzo Chiari, Silvia Orlandi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Maria Giovanna Verrengia *Rehabilitation Bioengineering Lab, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Valerio Antonio Arcobelli *Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy. valerio.arcobelli2@unibo.it.ORCID http://orcid.org/0000-0002-1262-9899
Giada LulliniUO Neuroriabilitazione, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.
Sabato MelloneDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
Stefano MazzoleniDepartment of Electrical and Information Engineering, Polytechnic University of Bari, Bari, Italy.
Lorenzo ChiariDepartment of Electrical, Electronic, and Information Engineering "Guglielmo Marconi", University of Bologna, Bologna, Italy.
Silvia OrlandiRehabilitation Bioengineering Lab, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis umbrella review aimed to assess the effectiveness of lower extremity robotic devices in clinical settings by analyzing motor and non-motor rehabilitation outcomes across different neurological conditions, including stroke, spinal cord injury, multiple sclerosis, and Parkinson's disease.

methodsA systematic search of literature published in English over the past twelve years was conducted using four major databases (PubMed, Scopus, Cochrane Library, and Web of Science). The search focused on reviews addressing the use of lower-limb robotic devices in patients with neurological diseases. Only reviews that followed standardized protocols and reported quantitative motor and/or non-motor rehabilitation outcomes were included. Extracted information included demographic characteristics, experimental procedures, and numerical outcomes related to motor and non-motor functions (e.g., walking test scores, clinical scale ratings).

resultsA total of 33 reviews met the inclusion criteria. Stroke was the most frequently studied condition, whereas Parkinson's disease and multiple sclerosis were rarely addressed. Findings related to stroke suggested that robotic rehabilitation may provide benefits over conventional therapy, with statistically significant improvements in some cases. In contrast, evidence for spinal cord injury, Parkinson's disease, and multiple sclerosis was limited and inconsistent.

conclusionsOverall, lower-limb robotic devices show promise in neurorehabilitation, particularly for post-stroke recovery. However, further research is required to standardize intervention protocols, assess cost-effectiveness, and better understand patient and therapist experiences to support broader clinical adoption.

Indexed as

End-effectorExoskeleton deviceLower limbsMovement disordersNeurological rehabilitationTreatment outcome

Identifiers

What OpenQuestion holds

Textmetadata
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.