Evidence map›Paper›PMID 26258858›Full record

ArticleMedicine and science in sports and exercise2016

Biomechanical Deficit Profiles Associated with ACL Injury Risk in Female Athletes.

Evangelos Pappas, Mariya P Shiyko, Kevin R Ford, Gregory D Myer, Timothy E Hewett

Registry-linked trialOpen access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medicine and science in sports and exercise, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04736511 (Study of the Influence of Proprioceptive Reweighting Ability on the Lower-extremity Biomechanics During Functional Tasks and Unplanned Sidestep Cutting Manoeuvre), which is not on this map. Cited by 31 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 7 pooled it
5.3field-weighted citation impact, top 4% 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.

NCT04736511 nacompletednot on this mapstarted 2021, after this paper: background citation

Study of the Influence of Proprioceptive Reweighting Ability on the Lower-extremity Biomechanics During Functional Tasks and Unplanned Sidestep Cutting Manoeuvre

TypeinterventionalSponsorUniversity Hospital, BrestRan2021 to 2021Enrolled41ConditionsAnterior Cruciate Ligament InjuriesArmsStar Excursion Balance Test, Single leg Drop Vertical Jump, Unplanned sidestep cutting manoeuvre, Tendon vibration
3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 7 syntheses or guidelines pooled it, 69 citations in OpenAlex.

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  18. Player Sex and Playing Surface Are Individual Predictors of Injuries in Professional Soccer Players.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
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  20. Sex-specific biomechanics and morphology of the anterior cruciate ligament during skeletal growth in a porcine model.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
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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

5 authors at 4 institutions in 2 countries.

Evangelos Pappas1Discipline of Physiotherapy, Faculty of Health Sciences, University of Sydney, Lidcombe, New South Wales, AUSTRALIA; 2Orthopaedic Sports Medicine Center of Ioannina, Department of Orthopaedic Surgery, School of Medicine, Ioannina, GREECE; 3Department of Counseling Psychology, Bouvé School of Health Sciences, Boston, MA; 4Department of Physical Therapy, School of Health Sciences, High Point University, High Point, NC; 5Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, OH; 6Division of Sports Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; 7OSU Sports Medicine, Sports Health and Performance Institute, Departments of Physiology and Cell Biology, Orthopaedic Surgery, Family Medicine and Biomedical Engineering, Ohio State University, Columbus, OH; and 8Micheli Center for Sports Injury Prevention, Waltham, MA.
Mariya P Shiyko
Kevin R Ford
Gregory D Myer
Timothy E Hewett
Cincinnati Children's Hospital Medical Center · USHigh Point University · USMassachusetts College of Pharmacy and Health Sciences · USThe University of Sydney · AU

Funding

Multi-faceted Approach to Modeling ACL Injury MechanismsR01AR056259 · NIAMS · OHIO STATE UNIVERSITY · PI HEWETT, TIMOTHY E · 2009 to 2017
$4.9M
Identifying risk profiles for anterior cruciate ligament injury among female athlSC3GM102053 · NIGMS · LONG ISLAND UNIVERSITY BROOKLYN CAMPUS · PI PAPPAS, EVANGELOS · 2012 to 2013
$203k
NIAMS NIH HHS AR056259NIAMS NIH HHS R01 AR055569NIAMS NIH HHS R01 AR056259NIGMS NIH HHS 5SC3 GM102053NIGMS NIH HHS SC3 GM102053
6 · The paper itself

Abstract

purposeThis study aimed to quantify the prevalence of biomechanical deficit patterns associated with anterior cruciate ligament injury risk and their interconnections in a large cohort of female athletes during an unanticipated cutting task.

methodsHigh school female athletes (n = 721) performed an unanticipated cutting task in the biomechanics laboratory. Trunk and lower extremity three-dimensional kinetics and kinematics were measured and entered into a latent profile analysis model.

resultsApproximately 40% of female athletes demonstrated no biomechanical deficits and were categorized into the low risk group. The second most prevalent profile (24%) demonstrated a combination of high quadriceps and leg dominance deficits and was labeled as quadriceps-leg. The third most prevalent profile (22%) demonstrated a combination of trunk and leg dominance deficits and to lesser extent ligament dominance deficits and was labeled as trunk-leg-ligament. Finally, the fourth profile (14%) demonstrated very high ligament dominance deficits only and it was labeled as ligament dominance profile.

conclusionsThis is the first study to identify the most common biomechanical profiles associated with anterior cruciate ligament injury during a cutting task in a large cohort of female athletes. Approximately 60% of female athletes belong to one of the high-risk profiles. With the exception of the ligament dominance profile, the current analysis indicates that risk profiles consist of a combination of biomechanical deficits. The findings provide important insight into the prevalence of biomechanical deficits and future directions for the development of injury prevention programs. The findings can be used to guide the development of quick and easy tests that accurately categorize athletes into one of the profiles and subsequently prescribe tailored injury prevention programs that will be more effective and efficient than the current generic ones.

Indexed as

Anterior Cruciate Ligament InjuriesBiomechanical PhenomenaElectromyographyFemaleHumansKnee InjuriesLower ExtremityMotor SkillsQuadriceps MuscleRisk FactorsTime and Motion StudiesTorso

Identifiers

PMID26258858
PMCPMC4681676
OpenAlexW1193911625

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.