Evidence map›Paper›PMID 28455730›Full record

ArticleClinical orthopaedics and related research2017

Knee Abduction Affects Greater Magnitude of Change in ACL and MCL Strains Than Matched Internal Tibial Rotation In Vitro.

Nathaniel A Bates, Rebecca J Nesbitt, Jason T Shearn, Gregory D Myer, Timothy E Hewett

Abstract read
In one paragraph

Article in Clinical orthopaedics and related research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
7.7field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 52 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Nathaniel A BatesDepartments of Orthopedic Surgery and Physiology and Biomedical Engineering, Mayo Clinic, 200 First Street SW, Rochester, MN, 55902, USA. batesna@gmail.com.
Rebecca J NesbittDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA.
Jason T ShearnDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA.
Gregory D MyerDivision of Sports Medicine, Cincinnati Children's Hospital Medical Center, USA; and the Departments of Pediatrics and Orthopedic Surgery, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Timothy E HewettDepartments of Orthopedic Surgery and Physiology and Biomedical Engineering, Mayo Clinic, 200 First Street SW, Rochester, MN, 55902, USA.
University of Cincinnati · USCincinnati Children's Hospital Medical Center · USMayo Clinic · USMayo Clinic in Arizona · US

Funding

Neuromuscular Intervention Targeted to Mechanisms of ACL Load in Female AthletesR01AR055563 · NIAMS · OHIO STATE UNIVERSITY · PI BATES, NATHANIEL ANDREW, KRYCH, AARON · 2008 to 2022
$5.9M
Multi-faceted Approach to Modeling ACL Injury MechanismsR01AR056259 · NIAMS · OHIO STATE UNIVERSITY · PI HEWETT, TIMOTHY E · 2009 to 2017
$4.9M
Real-Time Sensorimotor Feedback for Injury Prevention Assessed in Virtual RealityU01AR067997 · NIAMS · EMORY UNIVERSITY · PI MYER, GREGORY DONALD · 2016 to 2022
$3.6M
IDENTIFYING FEMALE ATHLETES AT HIGH RISK FOR ACL INJURYR01AR049735 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI HEWETT, TIMOTHY E · 2004 to 2008
$2.6M
Establishing Design Criteria and Large Animal Model for Evaluation of ACL RepairR01AR056660 · NIAMS · UNIVERSITY OF CINCINNATI · PI SHEARN, JASON T · 2010 to 2013
$1.3M
Identification of Patellofemoral Pain Risk Factors Developed During MaturationR21AR065068 · NIAMS · CINCINNATI CHILDRENS HOSP MED CTR · PI MYER, GREGORY DONALD · 2015 to 2016
$378k
National Institute of Arthritis and Musculoskeletal and Skin Diseases R01-AR049735National Institute of Arthritis and Musculoskeletal and Skin Diseases R01-AR055563National Institute of Arthritis and Musculoskeletal and Skin Diseases R01-AR056259National Institute of Arthritis and Musculoskeletal and Skin Diseases R01-AR056660NIAMS NIH HHS R01 AR049735NIAMS NIH HHS R01 AR055563NIAMS NIH HHS R01 AR056259NIAMS NIH HHS R01 AR056660NIAMS NIH HHS R21 AR065068NIAMS NIH HHS U01 AR067997
6 · The paper itself

Abstract

backgroundAnterior cruciate ligament (ACL) injures incur over USD 2 billion in annual medical costs and prevention has become a topic of interest in biomechanics. However, literature conflicts persist over how knee rotations contribute to ACL strain and ligament injury. To maximize the efficacy of ACL injury prevention, the effects of underlying mechanics need to be better understood. QUESTIONS/PURPOSES: We applied robotically controlled, in vivo-derived kinematic stimuli to the knee to assess ligament biomechanics in a cadaver model. We asked: (1) Does the application of abduction rotation increase ACL and medial collateral ligament (MCL) strain relative to the normal condition? (2) Does the application of internal tibial rotation impact ACL strain relative to the neutral condition? (3) Does combined abduction and internal tibial rotation increase ligament strain more than either individual contribution?

methodsA six-degree-of-freedom robotic manipulator was used to position 17 cadaveric specimens free from knee pathology outside of low-grade osteoarthritis (age, 47 ± 8 years; 13 males, four females) into orientations that mimic initial contact recorded from in vivo male and female drop vertical jump and sidestep cutting activities. Four-degree rotational perturbations were applied in both directions from the neutral alignment position (creating an 8° range) for each frontal, transverse, and combined planes while ACL and MCL strains were continuously recorded with DVRT strain gauges implanted directly on each ligament. Analysis of variance models with least significant difference post hoc analysis were used to assess differences in ligament strain and joint loading between sex, ligament condition, or motion task and rotation type.

resultsFor the female drop vertical jump simulation in the intact knee, isolated abduction and combined abduction/internal rotational stimuli produced the greatest change in strain from the neutral position as compared with all other stimuli within the ACL (1.5% ± 1.0%, p ≤ 0.035; 1.8% ± 1.3%, p ≤ 0.005) and MCL (1.8% ± 1.0%, p < 0.001; 1.6% ± 1.3%, p < 0.001) compared with all other applied stimuli. There were no differences in mean peak ACL strain between any rotational stimuli (largest mean difference = 2.0%; 95% confidence interval [CI], -0.9% to 5.0%; p = 0.070). These trends were consistent for all four simulated tasks. Peak ACL strain in the intact knee was larger than peak MCL strain for all applied rotational stimuli in the drop vertical jump simulations (smallest mean difference = 2.1%; 95% CI, -0.4% to 4.5%; p = 0.047).

conclusionsKinematically constrained cadaveric knee models using peak strain as an outcome variable require greater than 4° rotational perturbations to elicit changes in intraarticular ligaments. CLINICAL RELEVANCE: Because combined rotations and isolated abduction produced greater change in strain relative to the neutral position for the ACL and MCL than any other rotational stimuli in this cadaver study, hypotheses for in vivo investigations aimed toward injury prevention that focuses on the reduction of frontal plane knee motion should be considered. Furthermore, reduced strain in the MCL versus the ACL may help explain why only 30% of ACL ruptures exhibit concomitant MCL injuries.

Indexed as

AdultAnterior Cruciate LigamentAnterior Cruciate Ligament InjuriesBiomechanical PhenomenaCadaverFemaleHumansKnee JointMaleMedial Collateral Ligament, KneeMiddle AgedRange of Motion, ArticularRoboticsSprains and StrainsStress, MechanicalTibiaAnterior Cruciate LigamentAnterior Cruciate Ligament InjuryAnterior Cruciate Ligament RuptureIntact KneeMedial Collateral Ligament

Identifiers

PMID28455730
PMCPMC5599390
OpenAlexW2608844617

What OpenQuestion holds

Textmetadata
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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.