Evidence map›Paper›PMID 41658420›Full record

ArticleCase reports in orthopedics2026

The Impact of a Lightweight Pneumatic Robotic Knee Wearable on Gait.

Jonathan J Lee, Samuel Lyons, Prerna Arora, Jeffery J Morgan, Salinda Chan, Derek F Amanatullah

Abstract read
In one paragraph

Article in Case reports in orthopedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jonathan J LeeDepartment of Orthopaedic Surgery, Stanford University, Redwood City, California, USA, stanford.edu.ORCID https://orcid.org/0000-0001-5532-5206
Samuel LyonsMotion and Sports Performance Laboratory, Lucile Packard Children's Hospital, Palo Alto, California, USA.
Prerna AroraDepartment of Orthopaedic Surgery, Stanford University, Redwood City, California, USA, stanford.edu.
Jeffery J MorganMotion and Sports Performance Laboratory, Lucile Packard Children's Hospital, Palo Alto, California, USA.ORCID https://orcid.org/0000-0001-9956-8154
Salinda ChanMotion and Sports Performance Laboratory, Lucile Packard Children's Hospital, Palo Alto, California, USA.
Derek F AmanatullahDepartment of Orthopaedic Surgery, Stanford University, Redwood City, California, USA, stanford.edu.ORCID https://orcid.org/0000-0002-6203-5853

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Exoskeletons may provide quadriceps augmentation to patients with a torn or permanently weak extensor mechanism. Pneumatic exoskeletons utilize pressurized gas to improve gait, but their use and biomechanical impact have not been well described. Methods: A lightweight pneumatic robotic wearable device was piloted in a clinical gait case report study using four different conditions-no devices, walking stick, inactive brace, and active brace. Walking speed, step length, step time, step width, and hip and knee flexion/extension angles were assessed while walking on a flat, declined, and inclined surface. Results: Walking speed on a flat surface with the active brace (0.41 ± 0.03 m/s) was 45% faster than walking with no devices (0.28 ± 0.04 m/s). Knee flexion at initial contact (19.0 Conclusion: In this case report, a pneumatic robotic knee wearable device improved quadriceps function and increased walking speed while freeing one arm to perform other tasks. A training program that optimizes function and comfort may improve device adoption as patients may need time to become acquainted with external torque delivery to the limb.

Indexed as

exoskeletongaitquadriceps augmentationroboticstotal knee arthroplasty

Identifiers

PMID41658420
PMCPMC12877319

What OpenQuestion holds

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LicenceCC BY
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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.