Evidence map›Paper›PMID 31976347›Full record

ArticleOrthopaedic journal of sports medicine2020

Analysis of Internal Knee Forces Allows for the Prediction of Rupture Events in a Clinically Relevant Model of Anterior Cruciate Ligament Injuries.

Ryo Ueno, Alessandro Navacchia, Nathaniel A Bates, Nathan D Schilaty, Aaron J Krych, Timothy E Hewett

Open access · goldAbstract read
In one paragraph

Article in Orthopaedic journal of sports medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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 3 institutions in 1 country.

Ryo UenoDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Alessandro NavacchiaDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Nathaniel A BatesDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Nathan D SchilatyDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Aaron J KrychDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, Minnesota, USA.
Timothy E HewettDepartment of Rehabilitation Sciences, University of Kentucky, Lexington, Kentucky, USA.
WinnMed · USMayo Clinic · USUniversity of Kentucky · US

Funding

Mayo Clinic Interdisciplinary Women's Health Research ProgramK12HD065987 · NICHD · MAYO CLINIC ROCHESTER · PI KANTARCI, KEJAL · 2010 to 2023
$6.7M
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
NIAMS NIH HHS L30 AR070273NIAMS NIH HHS R01 AR055563NIAMS NIH HHS R01 AR056259NICHD NIH HHS K12 HD065987
6 · The paper itself

Abstract

backgroundA recently developed mechanical impact simulator induced an anterior cruciate ligament (ACL) rupture via the application of a combination of inverse dynamics-based knee abduction moment (KAM), anterior tibial shear force (ATS), and internal tibial rotation moment with impulsive compression in a cohort of cadaveric limbs. However, there remains an opportunity to further define the interaction of internal forces and moments at the knee and their respective influence on injury events. PURPOSE: To identify the influence of internal knee loads on an ACL injury event using a cadaveric impact simulator. STUDY

designControlled laboratory study.

methodsDrop-landing simulations were performed and analyzed on 30 fresh-frozen cadaveric knees with a validated mechanical impact simulator. Internal forces and moments at the knee joint center were calculated using data from a 6-axis load cell recorded on the femur during testing. Kinetic data from a total of 1083 trials that included 30 ACL injury trials were used as inputs for principal component (PC) analysis to identify the most critical features of loading waveforms. Logistic regression analysis with a stepwise selection was used to select the PCs that predicted an ACL injury. Injurious waveforms were reconstructed with selected PCs in logistic regression analysis.

resultsA total of 3 PCs were selected in logistic regression analysis that developed a significant model (

conclusionThese findings give us a better understanding of ACL injury mechanisms using 6-axis kinetics from an in vitro simulator. An ACL rupture was correlated with an internal knee adduction moment (external KAM) and was augmented by ATS and lateral tibial force induced by an impact, which distorted the ACL insertion orientation. CLINICAL RELEVANCE: The ACL injury mechanism explained in this study may help target injury prevention programs to decrease injurious knee loading (KAM, ATS, and lateral tibial force) during landing tasks.

Indexed as

ACLinjury mechanismlandingprincipal component analysis

Identifiers

PMID31976347
PMCPMC6958658
OpenAlexW2998813625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.