Evidence map›Paper›PMID 33135344›Full record

ArticleClinical and translational medicine2020

Diagnosing mild traumatic brain injury using saliva RNA compared to cognitive and balance testing.

Steven D Hicks, Cayce Onks, Raymond Y Kim, Kevin J Zhen, Jayson Loeffert, Andrea C Loeffert, Robert P Olympia, Gregory Fedorchak, Samantha DeVita, Aakanksha Rangnekar and 19 more

Registry-linked trialAbstract read
In one paragraph

Article in Clinical and translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07507253 (Pilot Study on the Correlation Between Accelerations Experienced During Matches by Professional Rugby Players and a Profile of Salivary Biomarkers Identified in the Literature as Related to Concussion.), which is not on this map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT07507253 recruitingnot on this mapstarted 2025, after this paper: background citation

Pilot Study on the Correlation Between Accelerations Experienced During Matches by Professional Rugby Players and a Profile of Salivary Biomarkers Identified in the Literature as Related to Concussion.

TypeobservationalSponsorSys2DiagRan2025 to 2028Enrolled66ConditionsSport Related ConcussionArmsAnalyze correlations between the measurements of the variations in biomarkers with those obtained by an instrumented mouthguard measuring accelerations.
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

29 authors.

Steven D HicksDepartment of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania.ORCID https://orcid.org/0000-0002-9579-6798
Cayce OnksDepartment of Family Medicine, Penn State College of Medicine, Hershey, Pennsylvania.
Raymond Y KimDepartment of Orthopedics and Rehabilitation, Penn State College of Medicine, Hershey, Pennsylvania.ORCID https://orcid.org/0000-0003-4229-904X
Kevin J ZhenDepartment of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania.
Jayson LoeffertDepartment of Family Medicine, Penn State College of Medicine, Hershey, Pennsylvania.
Andrea C LoeffertDepartment of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania.
Robert P OlympiaDepartment of Emergency Medicine, Penn State College of Medicine, Hershey, Pennsylvania.
Gregory FedorchakQuadrant Biosciences, Syracuse, New York.
Samantha DeVitaQuadrant Biosciences, Syracuse, New York.ORCID https://orcid.org/0000-0002-4843-7709
Aakanksha RangnekarQuadrant Biosciences, Syracuse, New York.
John LeddyUBMD Orthopedics and Sports Medicine, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, New York.
Mohammad N HaiderUBMD Orthopedics and Sports Medicine, Jacobs School of Medicine and Biomedical Sciences, State University of New York, Buffalo, New York.
Zofia GagnonDepartment of Biomedical Science, Marist College, Poughkeepsie, New York.
Callan D McLoughlinDepartment of Biomedical Science, Marist College, Poughkeepsie, New York.
Matthew BadiaDepartment of Biomedical Science, Marist College, Poughkeepsie, New York.
Jason RandallDepartment of Environmental Science, School of Science, Marist College, Poughkeepsie, New York.
Miguel MadeiraDepartment of Biology, School of Science, Marist College, Poughkeepsie, New York.
Aaron M Yengo-KahnVanderbilt Sports Concussion Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Justin WenzelVanderbilt Sports Concussion Center, Vanderbilt University Medical Center, Nashville, Tennessee.
Matthew HellerDepartment of Family Medicine, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, New York.
Hallie ZwibelDepartment of Family Medicine, New York Institute of Technology College of Osteopathic Medicine, Old Westbury, New York.
Aaron RobertsAdena Bone and Joint Center, Adena Regional Medical Center, Chillicothe, Ohio.
Samantha JohnsonAdena Bone and Joint Center, Adena Regional Medical Center, Chillicothe, Ohio.
Chuck MonteithAthletic Training Department, Colgate University, Hamilton, New York.
Michael N DretschUS Army Medical Research Directorate-West, Walter Reed Army Institute of Research, Joint Base Lewis-McChord, Washington.
Thomas R CampbellAthletic Training Department, Old Dominion University, Norfolk, Virginia.
Rebekah MannixDivision of Emergency Medicine, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts.
Christopher NevilleDepartment of PT Education, Orthopedics, and Neuroscience, SUNY Upstate Medical University, Syracuse, New York.
Frank MiddletonDepartment of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, New York.

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Penn State Institutional Career Development CoreKL2TR002015 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI VAN SCOY, LAUREN JODI · 2016 to 2025
$7.8M
NCATS NIH HHS KL2 TR002015NCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

backgroundEarly, accurate diagnosis of mild traumatic brain injury (mTBI) can improve clinical outcomes for patients, but mTBI remains difficult to diagnose because of reliance on subjective symptom reports. An objective biomarker could increase diagnostic accuracy and improve clinical outcomes. The aim of this study was to assess the ability of salivary noncoding RNA (ncRNA) to serve as a diagnostic adjunct to current clinical tools. We hypothesized that saliva ncRNA levels would demonstrate comparable accuracy for identifying mTBI as measures of symptom burden, neurocognition, and balance.

methodsThis case-control study involved 538 individuals. Participants included 251 individuals with mTBI, enrolled ≤14 days postinjury, from 11 clinical sites. Saliva samples (n = 679) were collected at five time points (≤3, 4-7, 8-14, 15-30, and 31-60 days post-mTBI). Levels of ncRNAs (microRNAs, small nucleolar RNAs, and piwi-interacting RNAs) were quantified within each sample using RNA sequencing. The first sample from each mTBI participant was compared to saliva samples from 287 controls. Samples were divided into testing (n = 430; mTBI = 201 and control = 239) and training sets (n = 108; mTBI = 50 and control = 58). The test set was used to identify ncRNA diagnostic candidates and create a diagnostic model. Model accuracy was assessed in the naïve test set.

resultsA model utilizing seven ncRNA ratios, along with participant age and chronic headache status, differentiated mTBI and control participants with a cross-validated area under the curve (AUC) of .857 in the training set (95% CI, .816-.903) and .823 in the naïve test set. In a subset of participants (n = 321; mTBI = 176 and control = 145) assessed for symptom burden (Post-Concussion Symptom Scale), as well as neurocognition and balance (ClearEdge System), these clinical measures yielded cross-validated AUC of .835 (95% CI, .782-.880) and .853 (95% CI, .803-.899), respectively. A model employing symptom burden and four neurocognitive measures identified mTBI participants with similar AUC (.888; CI, .845-.925) as symptom burden and four ncRNAs (.932; 95% CI, .890-.965).

conclusionSalivary ncRNA levels represent a noninvasive, biologic measure that can aid objective, accurate diagnosis of mTBI.

Indexed as

balancebiomarkerconcussiondiagnosisneurocognitionRNAsalivatraumatic brain injury

Identifiers

PMID33135344
PMCPMC7533415

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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.