Evidence map›Paper›PMID 36466350›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Knee adduction moment decomposition: Toward better clinical decision-making.

Mina Baniasad, Robin Martin, Xavier Crevoisier, Claude Pichonnaz, Fabio Becce, Kamiar Aminian

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Review
  4. Article
  5. Article
  6. Boosting the clinical use of ground reaction forces in anterior cruciate ligament injury prevention: The 'CUTtheACL' study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Article
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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 at 4 institutions in 1 country.

Mina BaniasadLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Robin MartinDepartment of Orthopaedic Surgery and Traumatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Xavier CrevoisierDepartment of Orthopaedic Surgery and Traumatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Claude PichonnazDepartment of Orthopaedic Surgery and Traumatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Fabio BecceDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Kamiar AminianLaboratory of Movement Analysis and Measurement, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
École Polytechnique Fédérale de Lausanne · CHHôpital Orthopédique de la Suisse Romande · CHHES-SO University of Applied Sciences and Arts Western Switzerland · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee adduction moment (KAM) is correlated with the progression of medial knee osteoarthritis (OA). Although a generic gait modification can reduce the KAM in some patients, it may have a reverse effect on other patients. We proposed the "decomposed ground reaction vector" (dGRV) model to 1) distinguish between the components of the KAM and their contribution to the first and second peaks and KAM impulse and 2) examine how medial knee OA, gait speed, and a brace influence these components. Using inverse dynamics as the reference, we calculated the KAM of 12 healthy participants and 12 patients with varus deformity and medial knee OA walking with/without a brace and at three speeds. The dGRV model divided the KAM into four components defined by the ground reaction force (GRF) and associated lever arms described with biomechanical factors related to gait modifications. The dGRV model predicted the KAM profile with a coefficient of multiple correlations of 0.98 ± 0.01. The main cause of increased KAM in the medial knee OA group, the second component (generated by the vertical GRF and mediolateral distance between the knee and ankle joint centers), was decreased by the brace in the healthy group. The first peak increased, and KAM impulse decreased with increasing velocity in both groups, while no significant change was observed in the second peak. The four-component dGRV model successfully estimated the KAM in all tested conditions. It explains why similar gait modifications produce different KAM reductions in subjects. Thus, more personalized gait rehabilitation, targeting elevated components, can be considered.

Indexed as

gaitground reaction vectorinverse dynamicskineticsknee adduction momentosteoarthritispersonalized treatment

Identifiers

PMID36466350
PMCPMC9715598
OpenAlexW4309271329

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.