Evidence map›Paper›PMID 33202314›Full record

ArticleClinical biomechanics (Bristol, Avon)2020

Quantifying varus thrust in knee osteoarthritis using wearable inertial sensors: A proof of concept.

Kerry E Costello, Samantha Eigenbrot, Alex Geronimo, Ali Guermazi, David T Felson, Jim Richards, Deepak Kumar

Open access · greenAbstract readComparative Study
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Assessment of varus thrust using inertial measurement units.Clinical biomechanics (Bristol, Avon) · 2025
    Article
  6. Article
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  10. Review
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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

7 authors at 3 institutions in 2 countries.

Kerry E CostelloDepartment of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA; Division of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Samantha EigenbrotDepartment of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA.
Alex GeronimoDepartment of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA.
Ali GuermaziDivision of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Department of Radiology, VA Boston Healthcare System, Boston University School of Medicine, Boston, MA, USA.
David T FelsonDepartment of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA; Division of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
Jim RichardsAllied Health Research Unit, School of Sport and Health Sciences, University of Central Lancashire, Preston, UK.
Deepak KumarDepartment of Physical Therapy & Athletic Training, Boston University College of Health & Rehabilitation Sciences: Sargent College, Boston, MA, USA; Division of Rheumatology, Department of Medicine, Boston University School of Medicine, Boston, MA, USA. Electronic address: kumard@bu.edu.
Boston University · USUniversity of Central Lancashire · GBVA Boston Healthcare System · US

Funding

Project-005UL1TR001430 · NCATS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BAIR-MERRITT, MEGAN H, CENTER, DAVID M. · 2015 to 2024
$52.3M
Research and Evaluation Support Core Unit (RESCU Core)P30AR072571 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI TUHINA NEOGI · 2019 to 2026
$6.9M
RHEUMATOLOGY TRAINING GRANTT32AR007598 · NIAMS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FELSON, DAVID TOBIN · 1997 to 2018
$2.3M
Mind Your Walk Intervention for Community-Based Management of Knee OA: A Feasibility StudyK01AR069720 · NIAMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KUMAR, DEEPAK · 2017 to 2021
$676k
NCATS NIH HHS UL1 TR001430NIAMS NIH HHS K01 AR069720NIAMS NIH HHS P30 AR072571NIAMS NIH HHS T32 AR007598
6 · The paper itself

Abstract

backgroundVarus thrust during walking, visualized as excessive frontal plane knee motion during weight acceptance, is a modifiable risk factor for progression of knee osteoarthritis. However, visual assessment does not capture thrust severity and quantification with optical motion capture is often not feasible. Inertial sensors may provide a convenient alternative to optical motion capture. This proof-of-concept study sought to compare wearable inertial sensors to optical motion capture for the quantification of varus thrust.

methodsTwenty-six participants with medial knee osteoarthritis underwent gait analysis at self-selected and fast speeds. Linear regression with generalized estimating equations assessed associations between peak knee adduction velocity or knee adduction excursion from optical motion capture and peak thigh or shank adduction velocity from two inertial sensors on the lower limb. Relationships between inertial measures and peak external knee adduction moment were assessed as a secondary aim.

findingsBoth thigh and shank inertial sensor measures were associated with the optical motion capture measures for both speeds (P < 0.001 to P = 0.020), with the thigh measures having less variability than the shank. After accounting for age, sex, body mass index, radiographic severity, and limb alignment, thigh adduction velocity was also associated with knee adduction moment at both speeds (both P < 0.001).

interpretationAn inertial sensor placed on the mid-thigh can quantify varus thrust in people with medial knee osteoarthritis without the need for optical motion capture. This single sensor may be useful for risk screening or evaluating the effects of interventions in large samples.

Indexed as

Wearable Electronic DevicesBiomechanical PhenomenaBody Mass IndexFemaleGaitHumansLinear ModelsMaleMiddle AgedMonitoring, PhysiologicOsteoarthritis, KneeAdductionAngular velocityGyroscopeMotion capture

Identifiers

PMID33202314
PMCPMC7749075
OpenAlexW3103621188

What OpenQuestion holds

Textmetadata
LicenceTDM
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.