Evidence map›Paper›PMID 35412857›Full record

ArticleJournal of neurotrauma2022

Defining Biological Phenotypes of Mild Traumatic Brain Injury Using Saliva MicroRNA Profiles.

Steven D Hicks, John Leddy, Brooke P Lichak, Cayce Onks, Michael Dretsch, Priscilla Tennant, Mohammad Nadir Haider, Robert P Olympia, Scott L Zuckerman, Jayson Loeffert and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of neurotrauma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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.

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

12 citing papers in PubMed.

  1. Observational
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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

13 authors.

Steven D HicksDepartment of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania, USA.
John LeddyDepartment of Sports Medicine, SUNY Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York, USA.
Brooke P LichakDepartment of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Cayce OnksDepartment of Family Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Michael DretschUS Army Medical Research Directorate-West, Walter Reed Army Institute of Research, Joint Base Lewis-McChord, Washington, USA.
Priscilla TennantQuadrant Biosciences, Inc, Syracuse, New York, USA.
Mohammad Nadir HaiderDepartment of Sports Medicine, SUNY Buffalo School of Medicine and Biomedical Sciences, Buffalo, New York, USA.
Robert P OlympiaDepartment of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Scott L ZuckermanDepartment of Neurosurgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jayson LoeffertDepartment of Family Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Andrea C LoeffertDepartment of Pediatrics, Penn State College of Medicine, Hershey, Pennsylvania, USA.
Chuck MonteithDepartment of Sports Medicine, Colgate University, Hamilton, New York, USA.
Christina L MasterDepartment of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Funding

Poly-omic predictors of symptom duration and recovery for adolescent concussionR01NS115942 · NINDS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI HICKS, STEVEN DANIEL · 2021 to 2025
$2.8M
Refinement of a rapid saliva miRNA diagnostic test for concussionR42NS119119 · NINDS · QUADRANT BIOSCIENCES, INC. · PI LEVITSKIY, DAVID, WRIGHT, FORREST · 2020 to 2020
$381k
NINDS NIH HHS R01 NS115942NINDS NIH HHS R42 NS119119
6 · The paper itself

Abstract

Concussion is a heterogeneous injury that relies predominantly on subjective symptom reports for patient assessment and treatment. Developing an objective, biological test could aid phenotypic categorization of concussion patients, leading to advances in personalized treatment. This prospective multi-center study employed saliva micro-ribonucleic acid (miRNA) levels to stratify 251 individuals with concussion into biological subgroups. Using miRNA biological clusters, our objective was to assess for differences in medical/demographic characteristics, symptoms, and functional measures of balance and cognition. The miRNAs that best defined each cluster were used to identify physiological pathways that characterized each cluster. The 251 participants (mean age: 18 ± 7 years; 57% male) were optimally grouped into 10 clusters based on 22 miRNA levels. The clusters differed in age (χ

Indexed as

Brain ConcussionMicroRNAsFemaleHumansMalePhenotypeProspective StudiesSalivaMicroRNAsbiomarkersconcussionpersonalized medicinesubgroupstraumatic brain injury

Identifiers

PMID35412857
PMCPMC9248343

What OpenQuestion holds

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LicenceCC BY-NC
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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.