Evidence map›Paper›PMID 36905001›Full record

ArticleSensors (Basel, Switzerland)2023

A Novel Classification of Coronal Plane Knee Joint Instability Using Nine-Axis Inertial Measurement Units in Patients with Medial Knee Osteoarthritis.

Hiroaki Tsukamoto, Kimio Saito, Hidetomo Saito, Hiroaki Kijima, Manabu Akagawa, Akira Komatsu, Takehiro Iwami, Naohisa Miyakoshi

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Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

8 authors.

Hiroaki TsukamotoDepartment of Orthopedic Surgery, Kita-Akita Municipal Hospital, Shimosugi, Kamishimizusawa 16-29, Kitaakita 018-4221, Japan.ORCID 0000-0002-3427-2675
Kimio SaitoDepartment of Orthopedic Surgery, Graduate School of Medicine, Akita University, Hondo 1-1-1, Akita 010-8543, Japan.ORCID 0000-0001-9533-1125
Hidetomo SaitoDepartment of Orthopedic Surgery, Graduate School of Medicine, Akita University, Hondo 1-1-1, Akita 010-8543, Japan.
Hiroaki KijimaDepartment of Orthopedic Surgery, Graduate School of Medicine, Akita University, Hondo 1-1-1, Akita 010-8543, Japan.ORCID 0000-0003-4939-9545
Manabu AkagawaDepartment of Orthopedic Surgery, Omagari Kosei Medical Center, Omagari Torimachi 8-65, Senboku 014-0027, Japan.ORCID 0000-0002-4420-4326
Akira KomatsuNational Institute of Technology, Sendai College, Natori 981-1239, Japan.ORCID 0000-0002-3248-0059
Takehiro IwamiDepartment of System Design Engineering, Faculty of Engineering Science, Graduate School of Engineering Science, Akita University, Akita 010-8502, Japan.
Naohisa MiyakoshiDepartment of Orthopedic Surgery, Graduate School of Medicine, Akita University, Hondo 1-1-1, Akita 010-8543, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to propose a novel classification of varus thrust based on gait analysis with inertial motion sensor units (IMUs) in patients with medial knee osteoarthritis (MKOA). We investigated thigh and shank acceleration using a nine-axis IMU in 69 knees with MKOA and 24 (control) knees. We classified varus thrust into four phenotypes according to the relative medial-lateral acceleration vector patterns of the thigh and shank segments: pattern A (thigh medial, shank medial), pattern B (medial, lateral), pattern C (lateral, medial), and pattern D (lateral, lateral). Quantitative varus thrust was calculated using an extended Kalman filter-based algorithm. We compared the differences between our proposed IMU classification and the Kellgren-Lawrence (KL) grades for quantitative varus thrust and visible varus thrust. Most of the varus thrust was not visually perceptible in early-stage OA. In advanced MKOA, increased proportions of patterns C and D with lateral thigh acceleration were observed. Quantitative varus thrust was significantly increased stepwise from patterns A to D. This novel IMU classification has better clinical utility due to its ability to detect subtle kinematic changes that cannot be captured with conventional motion analysis even in the early stage of MKOA.

Indexed as

Joint InstabilityOsteoarthritis, KneeBiomechanical PhenomenaGaitHumansKneeKnee Jointinertial motion sensor unitsknee osteoarthritissubstantial knee instabilityvarus thrust

Identifiers

PMID36905001
PMCPMC10007345

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