Evidence map›Paper›PMID 42110094›Full record

ArticleCureus2026

Investigating the Effects of the UniReliever® Knee Brace Using Analysis of a Novel Digital Platform, MAI Motion.

Tanvi Verma, Yan Wen, Paul Lee, Lei Zhang, Xujiong Ye

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Tanvi VermaResearch, MSK Doctors and Associates, Grantham, GBR.
Yan WenResearch, MSK Doctors, Sleaford, GBR.
Paul LeeTrauma and Orthopaedics, MSK Doctors and Associates, Grantham, GBR.
Lei ZhangComputer Science, University of Exeter, Exeter, GBR.
Xujiong YeComputer Science, University of Exeter, Exeter, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnee braces are widely used to reduce pain and aid mobility in people living with knee osteoarthritis (KOA). This study aimed to determine whether a widely used knee brace, the UniReliever knee (URK) brace (Thuasne SAS, Levallois-Perret, France), improved knee alignment in patients with KOA using a novel digital platform, MAI Motion (MSK Doctors, Sleaford, United Kingdom).

methodsThe movement of eight patients was recorded using MAI Motion whilst performing three sets of repeated (5x) sit-to-stand (S2S) and squat movements whilst wearing: no brace (control), an inactive brace with no offloading (additional control), or an active brace with offloading (as used in the real world). The URK (TM5+ hinge

resultsThere was a high degree of variability in knee alignment between patients, accounting for over 80% of the variation observed (p<0.0001). The active URK brace significantly improved knee alignment in three patients performing the S2S activity and four patients performing the Squat activity (all p<0.05).

conclusionsThe active URK brace significantly improved knee alignment in up to 50% of patients. The MAI Motion platform provided an objective method to detect subtle changes during movement, making it suitable for the investigation and monitoring of musculoskeletal conditions in remote, web-based settings.

Indexed as

bracedigitalknee alignmentmotionosteoarthritissit-to-standsquat movements

Identifiers

PMID42110094
PMCPMC13150941

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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.