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      Evaluation and Utility of the King-Devick With Integrated Eye Tracking as a Diagnostic Tool for Sport-Related Concussion

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          Abstract

          Background:

          Eye-tracking technology for detecting eye movements has been gaining increasing attention as a possible assessment and monitoring tool for sport-related concussion (SRC).

          Purpose:

          To determine the diagnostic accuracy of a rapid number-naming task with eye tracking, the King-Devick Eye Tracking (K-D ET) assessment, in identifying SRC.

          Study Design:

          Cohort study.

          Methods:

          One female and 1 male team of United States collegiate rugby-15 players competing during the 2018 season were recruited. Variables assessed were total saccades, saccade velocity, total fixations, fixation duration, fixation polyarea, and test duration. A generalized estimating equation was used to examine group (concussion vs nonconcussion), time (baseline vs postinjury/postseason), and sex-based differences for each outcome measure. In addition, the different components of diagnostic accuracy of the K-D ET were calculated.

          Results:

          Baseline K-D ET assessment for 49 participants (25 male, 24 female) were assessed at the beginning of the season, with 28 participants who did not sustain a head injury during the season completing the postseason assessments and 6 participants completing a postinjury (suspected concussion) assessment. Significant differences were observed between concussed and nonconcussed groups for total saccades ( P = .024), fixation duration ( P = .007), and fixation polyarea ( P = .030), with differences from baseline to follow-up observed for saccade velocity ( P = .018) in both groups. Sex-based differences were noted for total fixations ( P = .041), fixation polyarea ( P = .036), and completion time ( P = .035). No significant Group × Time interactions were noted. The K-D ET test duration indicated high specificity (0.86) but not high sensitivity (0.40). No other variables reported high sensitivity or specificity.

          Conclusion:

          Other than completion time of the K-D ET test, no K-D ET oculomotor parameter was highly sensitive or specific in the diagnosis of concussion in this study.

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          Most cited references35

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Consensus statement on concussion in sport-the 5(th) international conference on concussion in sport held in Berlin, October 2016.

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              Measures of Diagnostic Accuracy: Basic Definitions

              Diagnostic accuracy relates to the ability of a test to discriminate between the target condition and health. This discriminative potential can be quantified by the measures of diagnostic accuracy such as sensitivity and specificity, predictive values, likelihood ratios, the area under the ROC curve, Youden's index and diagnostic odds ratio. Different measures of diagnostic accuracy relate to the different aspects of diagnostic procedure: while some measures are used to assess the discriminative property of the test, others are used to assess its predictive ability. Measures of diagnostic accuracy are not fixed indicators of a test performance, some are very sensitive to the disease prevalence, while others to the spectrum and definition of the disease. Furthermore, measures of diagnostic accuracy are extremely sensitive to the design of the study. Studies not meeting strict methodological standards usually over- or under-estimate the indicators of test performance as well as they limit the applicability of the results of the study. STARD initiative was a very important step toward the improvement the quality of reporting of studies of diagnostic accuracy. STARD statement should be included into the Instructions to authors by scientific journals and authors should be encouraged to use the checklist whenever reporting their studies on diagnostic accuracy. Such efforts could make a substantial difference in the quality of reporting of studies of diagnostic accuracy and serve to provide the best possible evidence to the best for the patient care. This brief review outlines some basic definitions and characteristics of the measures of diagnostic accuracy.
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                Author and article information

                Journal
                Orthop J Sports Med
                Orthop J Sports Med
                OJS
                spojs
                Orthopaedic Journal of Sports Medicine
                SAGE Publications (Sage CA: Los Angeles, CA )
                2325-9671
                22 December 2022
                December 2022
                : 10
                : 12
                : 23259671221142255
                Affiliations
                []Department of Athletic Training, 003C Human Performance Center, University of Northern Iowa, Cedar Falls, Iowa, USA.
                []Nutrition and Health Innovation Research Institute, School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia.
                [§ ]Institute for Health Research, The University of Notre Dame Australia, Fremantle, Western Australia, Australia.
                []College of Health Sciences, Des Moines University, Des Moines, Iowa, USA.
                [5-23259671221142255] Investigation performed at Human Performance Center, University of Northern Iowa, Cedar Falls, Iowa, USA
                Author notes
                [*] [* ]Mark Hecimovich, PhD, Department of Athletic Training, 003C Human Performance Center, University of Northern Iowa, Cedar Falls, IA 50614, USA (email: mark.hecimovich@ 123456uni.edu ).
                Article
                10.1177_23259671221142255
                10.1177/23259671221142255
                9793019
                e6c0df27-29c3-42d5-943d-676ef63bc004
                © The Author(s) 2022

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License ( https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 27 August 2022
                : 15 September 2022
                Categories
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                sport-related concussion,eye tracking,king-devick,rugby
                sport-related concussion, eye tracking, king-devick, rugby

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