Evidence map›Paper›PMID 33616662›Full record

ArticleJAMA network open2021

Assessment of Blood Biomarker Profile After Acute Concussion During Combative Training Among US Military Cadets: A Prospective Study From the NCAA and US Department of Defense CARE Consortium.

Christopher C Giza, Michael McCrea, Daniel Huber, Kenneth L Cameron, Megan N Houston, Jonathan C Jackson, Gerald McGinty, Paul Pasquina, Steven P Broglio, Alison Brooks and 18 more

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
8.0field-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

21 citing papers in PubMed, 35 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

28 authors at 15 institutions in 1 country.

Christopher C GizaDepartment of Neurosurgery, UCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles.
Michael McCreaDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee.
Daniel HuberDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee.
Kenneth L CameronJohn A. Feagin Sports Medicine Fellowship, Keller Army Community Hospital, West Point, New York.
Megan N HoustonJohn A. Feagin Sports Medicine Fellowship, Keller Army Community Hospital, West Point, New York.
Jonathan C JacksonUS Air Force Academy, Colorado Springs, Colorado.
Gerald McGintyUS Air Force Academy, Colorado Springs, Colorado.
Paul PasquinaDepartment of Physical Medicine and Rehabilitation, Uniformed Services University, Bethesda, Maryland.
Steven P BroglioMichigan Concussion Center, University of Michigan, Ann Arbor.
Alison BrooksDepartment of Orthopedics and Rehabilitation, School of Medicine and Public Health, University of Wisconsin, Madison.
John DiFioriHospital for Special Surgery, New York, New York.
Stefan DumaDepartment of Biomedical Engineering, Virginia Tech, Blacksburg.
Jaroslaw HarezlakDepartment of Epidemiology and Biostatistics School of Public Health-Bloomington, Indiana University, Bloomington.
Joshua GoldmanDepartment of Family Medicine, UCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles.
Kevin GuskiewiczMatthew Gfeller Sport-Related Traumatic Brain Injury Research Center, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill.
Thomas W McAllisterDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
David McArthurDepartment of Neurosurgery, UCLA Steve Tisch BrainSPORT Program, University of California, Los Angeles, Los Angeles.
Timothy B MeierDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee.
Jason P MihalikMatthew Gfeller Sport-Related Traumatic Brain Injury Research Center, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill.
Lindsay D NelsonDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee.
Steven RowsonDepartment of Biomedical Engineering, Virginia Tech, Blacksburg.
Jessica GillNational Institute of Nursing Research, National Institutes of Health, Bethesda, Maryland.
CARE Consortium Investigators
Tatiana ForoudDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
Barry KatzDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
Andrew SaykinDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis.
Darren E CampbellUS Air Force Academy, Colorado Springs, Colorado.
Steven SvobodaUS Military Academy at West Point, New York.
Medical College of Wisconsin · USUnited States Air Force Academy · USUniversity of California, Los Angeles · USIndiana University – Purdue University Indianapolis · USIndiana University School of MedicineUniformed Services University of the Health Sciences · USUniversity of North Carolina at Chapel Hill · USVirginia Tech · USHospital for Special Surgery · USIndiana University Bloomington · USKeller Army Community Hospital · USNational Institute of Nursing Research · USUnited States Military Academy · USUniversity of Michigan–Ann Arbor · USUniversity of Wisconsin–Madison · US

Funding

Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI FOROUD, TATIANA M. · 1991 to 2020
$37.3M
Biomarkers of ConcussionZIANR000033 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI GILL, JESSICA · 2017 to 2021
$3.2M
NIA NIH HHS P30 AG010133
6 · The paper itself

Abstract

Importance: Validation of protein biomarkers for concussion diagnosis and management in military combative training is important, as these injuries occur outside of traditional health care settings and are generally difficult to diagnose. Objective: To investigate acute blood protein levels in military cadets after combative training-associated concussions. Design, Setting, and Participants: This multicenter prospective case-control study was part of a larger cohort study conducted by the National Collegiate Athletic Association and the US Department of Defense Concussion Assessment Research and Education (CARE) Consortium from February 20, 2015, to May 31, 2018. The study was performed among cadets from 2 CARE Consortium Advanced Research Core sites: the US Military Academy at West Point and the US Air Force Academy. Cadets who incurred concussions during combative training (concussion group) were compared with cadets who participated in the same combative training exercises but did not incur concussions (contact-control group). Clinical measures and blood sample collection occurred at baseline, the acute postinjury point (<6 hours), the 24- to 48-hour postinjury point, the asymptomatic postinjury point (defined as the point at which the cadet reported being asymptomatic and began the return-to-activity protocol), and 7 days after return to activity. Biomarker levels and estimated mean differences in biomarker levels were natural log (ln) transformed to decrease the skewness of their distributions. Data were collected from August 1, 2016, to May 31, 2018, and analyses were conducted from March 1, 2019, to January 14, 2020. Exposure: Concussion incurred during combative training. Main Outcomes and Measures: Proteins examined included glial fibrillary acidic protein, ubiquitin C-terminal hydrolase-L1, neurofilament light chain, and tau. Quantification was conducted using a multiplex assay (Simoa; Quanterix Corp). Clinical measures included the Sport Concussion Assessment Tool-Third Edition symptom severity evaluation, the Standardized Assessment of Concussion, the Balance Error Scoring System, and the 18-item Brief Symptom Inventory. Results: Among 103 military service academy cadets, 67 cadets incurred concussions during combative training, and 36 matched cadets who engaged in the same training exercises did not incur concussions. The mean (SD) age of cadets in the concussion group was 18.6 (1.3) years, and 40 cadets (59.7%) were male. The mean (SD) age of matched cadets in the contact-control group was 19.5 (1.3) years, and 25 cadets (69.4%) were male. Compared with cadets in the contact-control group, those in the concussion group had significant increases in glial fibrillary acidic protein (mean difference in ln values, 0.34; 95% CI, 0.18-0.50; P < .001) and ubiquitin C-terminal hydrolase-L1 (mean difference in ln values, 0.97; 95% CI, 0.44-1.50; P < .001) levels at the acute postinjury point. The glial fibrillary acidic protein level remained high in the concussion group compared with the contact-control group at the 24- to 48-hour postinjury point (mean difference in ln values, 0.22; 95% CI, 0.06-0.38; P = .007) and the asymptomatic postinjury point (mean difference in ln values, 0.21; 95% CI, 0.05-0.36; P = .01). The area under the curve for all biomarkers combined, which was used to differentiate cadets in the concussion and contact-control groups, was 0.80 (95% CI, 0.68-0.93; P < .001) at the acute postinjury point. Conclusions and Relevance: This study's findings indicate that blood biomarkers have potential for use as research tools to better understand the pathobiological changes associated with concussion and to assist with injury identification and recovery from combative training-associated concussions among military service academy cadets. These results extend the previous findings of studies of collegiate athletes with sport-associated concussions.

Indexed as

Military PersonnelAdolescentAthletic InjuriesBrain ConcussionCase-Control StudiesCognitionFemaleGlial Fibrillary Acidic ProteinHumansMaleNeurofilament ProteinsOccupational InjuriesProspective Studiestau ProteinsUbiquitin ThiolesteraseUnited StatesGFAP protein, humanGlial Fibrillary Acidic ProteinMAPT protein, humanneurofilament protein LNeurofilament Proteinstau ProteinsUbiquitin ThiolesteraseUCHL1 protein, human

Identifiers

PMID33616662
PMCPMC7900866
OpenAlexW3131164672

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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.