Evidence map›Paper›PMID 40991657›Full record

ArticlePLoS computational biology2025

How peak knee loads are affected by changing the mass of lower-limb body segments during walking.

Delaney E Miller, Ashley E Brown, Nicholas A Bianco, Rucha Bhise, Scott L Delp, Steven H Collins

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. 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. A Data-Driven Approach to Estimate Changes in Peak Knee Contact Force With Exoskeleton Assistance.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    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.

Delaney E MillerDepartment of Mechanical Engineering, Stanford University, Stanford, California, United States of America.ORCID 0000-0003-1704-845X
Ashley E BrownDepartment of Mechanical Engineering, Stanford University, Stanford, California, United States of America.
Nicholas A BiancoDepartment of Mechanical Engineering, Stanford University, Stanford, California, United States of America.
Rucha BhiseDepartment of Bioengineering, Stanford University, Stanford, California, United States of America.
Scott L DelpDepartment of Mechanical Engineering, Stanford University, Stanford, California, United States of America.
Steven H CollinsDepartment of Mechanical Engineering, Stanford University, Stanford, California, United States of America.

Funding

TR&D Project 3: OpenSim for PredictionP41EB027060 · NIBIB · STANFORD UNIVERSITY · PI SCOTT L DELP · 2020 to 2026
$9.7M
NIBIB NIH HHS P41 EB027060
6 · The paper itself

Abstract

For individuals with knee osteoarthritis, increased knee loading is linked to disease progression and pain. Some approaches to treating osteoarthritis, such as specialized footwear, braces, and powered exoskeletons, also increase the mass of the lower limbs, which could lead to increases in knee loads. Prior studies have investigated the effect of changes in torso mass and total body mass on peak knee contact forces, but the effects of increased leg mass remain unclear. In this study, we created musculoskeletal simulations informed by experimental data to estimate tibiofemoral knee contact force under different lower-limb segment mass conditions. The mass of the foot, shank, and thigh were varied by adding weights to each segment, separately and concurrently, as healthy young adults (N = 10) walked on a treadmill. Kinematics, kinetics, and muscle activity were recorded. Our simulations used an optimal control framework that enforced experimental kinematics while minimizing a combination of net joint moment errors and mismatch between measured and estimated muscle activity. The simulations revealed that adding mass to the lower-limb segments linearly increased early- and late-stance peaks in knee contact force, but that the slope of this relationship was different for each peak and each mass placement location. For each 1% of body weight (BW) added per limb (2% BW total) at the thigh, shank, and foot, early-stance peak knee contact force increased by 1.5%, 2.1%, and 5.9% (r = 0.71), while late-stance peak contact force increased by 1.6%, 0.9% and 3.0% (r = 0.67), respectively. Adding mass to the thigh and shank increases peak contact force at or below the rate of increase in body mass, while adding mass to the foot disproportionately increases peak knee contact force. These detrimental effects should be considered when designing interventions for osteoarthritis.

Indexed as

KneeKnee JointLower ExtremityWalkingWeight-BearingAdultBiomechanical PhenomenaComputer SimulationFemaleHumansMaleModels, BiologicalMuscle, SkeletalYoung Adult

Identifiers

PMID40991657
PMCPMC12483208

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.