Evidence map›Paper›PMID 36790216›Full record

ArticleThe American journal of sports medicine2023

Using an Affordable Motion Capture System to Evaluate the Prognostic Value of Drop Vertical Jump Parameters for Noncontact ACL Injury.

Jason Corban, Nicolaos Karatzas, Kevin Y Zhao, Athanasios Babouras, Stephane Bergeron, Thomas Fevens, Hassan Rivaz, Paul A Martineau

Open access · hybridAbstract read
In one paragraph

Article in The American journal of sports medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 14 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

8 authors at 4 institutions in 1 country.

Jason CorbanMcGill University Health Centre, Division of Orthopaedic Surgery, Montreal, Quebec, Canada.ORCID 0000-0002-1749-9181
Nicolaos KaratzasMcGill University, Faculty of Medicine, Montreal, Quebec, Canada.ORCID 0000-0002-7217-710X
Kevin Y ZhaoMcGill University, Faculty of Medicine, Montreal, Quebec, Canada.ORCID 0000-0002-2950-7740
Athanasios BabourasMcGill University, Department of Experimental Surgery, Montreal, Quebec, Canada.ORCID 0000-0003-4678-3699
Stephane BergeronMcGill University, Department of Experimental Surgery, Montreal, Quebec, Canada.
Thomas FevensConcordia University, Department of Computer Science and Engineering, Montreal, Quebec, Canada.
Hassan RivazConcordia University, Department of Electrical and Computer Engineering, Montreal, Quebec, Canada.
Paul A MartineauMcGill University Health Centre, Division of Orthopaedic Surgery, Montreal, Quebec, Canada.
McGill University · CAConcordia University · CAMcGill University Health Centre · CAJewish General Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnee kinematic parameters during a drop vertical jump (DVJ) have been demonstrated to be associated with increased risk of noncontact anterior cruciate ligament (ACL) injury. However, standard motion analysis systems are not practical for routine screening. Affordable and practical motion sensor alternatives exist but require further validation in the context of ACL injury risk assessment. PURPOSE/HYPOTHESIS: To prospectively study DVJ parameters as predictors of noncontact ACL injury in collegiate athletes using an affordable motion capture system (Kinect; Microsoft). We hypothesized that athletes who sustained noncontact ACL injury would have larger initial and peak contact coronal abduction angles and smaller peak flexion angles at the knee during a DVJ. STUDY

designCase-control study; Level of evidence, 3.

methods102 participants were prospectively recruited from a collegiate varsity sports program. A total of 101 of the 102 athletes (99%) were followed for an entire season for noncontact ACL injury. Each athlete performed 3 DVJs, and the data were recorded using the motion capture system. Initial coronal, peak coronal, and peak sagittal angles of the knee were identified by our software.

resultsFive of the 101 athletes sustained a noncontact ACL injury. Peak coronal angles were significantly greater and peak sagittal flexion angles were significantly smaller in ACL-injured athletes (

conclusionIncreased peak coronal angle and decreased peak sagittal angle during a DVJ were significantly associated with increased risk for noncontact ACL injury. Based on ROC analysis, initial coronal angle showed good prognostic ability, whereas peak coronal angle and peak sagittal flexion provided excellent prognostic ability. Affordable motion capture systems show promise as cost-effective and practical options for large-scale ACL injury risk screening.

Indexed as

Anterior Cruciate Ligament InjuriesBiomechanical PhenomenaCase-Control StudiesHumansKnee JointMotion CapturePrognosisanterior cruciate ligamentdrop vertical jumpinjury preventionMicrosoft Kinect

Identifiers

PMID36790216
PMCPMC10026155
OpenAlexW4320857342

What OpenQuestion holds

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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.