Evidence map›Paper›PMID 41145067›Full record

ArticleClinical biomechanics (Bristol, Avon)2025

Associations of quadriceps activation during step-up with pain during movement and physical function in people with knee osteoarthritis.

Ehyun Kim, Soyoung Lee, Jason Dolinsky, Baekdong Cha, Deepak Kumar

Abstract read
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2025. 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

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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. Trial
  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

5 authors.

Ehyun KimDepartment of Physical Therapy, Boston University, Boston, MA, USA.
Soyoung LeeDepartment of Physical Therapy, Boston University, Boston, MA, USA.
Jason DolinskyDepartment of Physical Therapy, Boston University, Boston, MA, USA.
Baekdong ChaDepartment of Physical Therapy, Boston University, Boston, MA, USA.
Deepak KumarDepartment of Physical Therapy, Boston University, Boston, MA, USA. Electronic address: kumard@bu.edu.

Funding

Graduate Training at the Interface of Neuroscience, Optical Engineering and Data ScienceT32NS136080 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI David A Boas, Jerry L Chen · 2024 to 2026
$661k
NINDS NIH HHS T32 NS136080
6 · The paper itself

Abstract

backgroundMovement-evoked pain, and excessive muscle activation and co-activation during daily activities such as stair climbing are characteristic of knee osteoarthritis. Our objective was to examine the association between muscle activation and coactivation during step-up with pain during step-up and self-reported physical function in people with knee osteoarthritis.

methodsWe used data from participants with symptomatic knee OA (n = 43) who performed five 30-s step-up bouts. Maximum pain during step-up (range 0-10) was recorded as movement-evoked pain. We assessed mean vastus medialis and medial hamstrings activation during the ascent phase of step-up, normalized to activation during a maximum voluntary isometric contraction, using surface electromyography (EMG). We also derived muscle coactivation over the same period. Physical function was assessed using the McMaster Universities Osteoarthritis Index (WOMAC) Physical Function scale. We used hierarchical regression models to examine the additional contributions of EMG measures to movement-evoked pain and WOMAC scores in addition to age, sex, BMI, and quadriceps peak torque.

findingsGreater vastus medialis activation during step-up was associated with lower movement-evoked pain (β = -0.47, p < 0.01, model R

interpretationGreater vastus medialis activation may be a compensatory strategy to reduce pain during step-up and improve function in knee osteoarthritis.

Indexed as

Osteoarthritis, KneePainQuadriceps MuscleAgedElectromyographyFemaleHumansIsometric ContractionMaleMiddle AgedMovementTorqueHamstringsStep-upVastus medialisWOMAC

Identifiers

PMID41145067
PMCPMC13431076

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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.