Evidence map›Paper›PMID 25870583›Full record

ArticleFrontiers in neurology2015

Multivariate analysis of traumatic brain injury: development of an assessment score.

John E Buonora, Angela M Yarnell, Rachel C Lazarus, Michael Mousseau, Lawrence L Latour, Sandro B Rizoli, Andrew J Baker, Shawn G Rhind, Ramon Diaz-Arrastia, Gregory P Mueller

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 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.

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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Biomarkers in traumatic brain injury (TBI): a review.Neuropsychiatric disease and treatment · 2018
    Review
  20. New astroglial injury-defined biomarkers for neurotrauma assessment.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017
    Article
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

10 authors.

John E BuonoraDepartment of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA ; U.S. Army Graduate Program in Anesthesia Nursing, Academy of Health Sciences, Joint Base San Antonio , Fort Sam Houston, TX , USA.
Angela M YarnellBehavioral Biology Branch, Center for Military Psychiatry and Neuroscience Research, Walter Reed Army Institute of Research , Silver Spring, MD , USA.
Rachel C LazarusDepartment of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA.
Michael MousseauDepartment of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA.
Lawrence L LatourStroke Branch, National Institute of Neurological Disorders and Stroke , Bethesda, MD , USA ; Defence Research and Development Canada, Toronto Research Centre , Toronto, ON , Canada.
Sandro B RizoliDepartment of Anesthesia, Keenan Research Centre of the Li Ka Shing Knowledge Institute, St Michael's Hospital, University of Toronto , Toronto, ON , Canada ; Department of Surgery, Keenan Research Centre of the Li Ka Shing Knowledge Institute, St Michael's Hospital, University of Toronto , Toronto, ON , Canada ; Department of Critical Care Medicine, Keenan Research Centre of the Li Ka Shing Knowledge Institute, St Michael's Hospital, University of Toronto , Toronto, ON , Canada.
Andrew J BakerDepartment of Anesthesia, Keenan Research Centre of the Li Ka Shing Knowledge Institute, St Michael's Hospital, University of Toronto , Toronto, ON , Canada ; Department of Surgery, Keenan Research Centre of the Li Ka Shing Knowledge Institute, St Michael's Hospital, University of Toronto , Toronto, ON , Canada ; Department of Critical Care Medicine, Keenan Research Centre of the Li Ka Shing Knowledge Institute, St Michael's Hospital, University of Toronto , Toronto, ON , Canada ; Brain Injury Laboratory, Li Ka Shing Knowledge Institute, Cara Phelan Centre for Trauma Research, Keenan Research Centre University of Toronto , Toronto, ON , Canada.
Shawn G RhindDefence Research and Development Canada, Toronto Research Centre , Toronto, ON , Canada.
Ramon Diaz-ArrastiaCenter for Neuroscience and Regenerative Medicine, Uniformed Services University of the Health Sciences , Bethesda, MD , USA.
Gregory P MuellerDepartment of Anatomy, Physiology and Genetics, Uniformed Services University of the Health Sciences , Bethesda, MD , USA.

Funding

Eval, Pathogenesis, Outcome of Subjects with or Suspected Traumatic Brain InjuryZIANS003120 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LATOUR, LAWRENCE · 2010 to 2025
$16.5M
6 · The paper itself

Abstract

Important challenges for the diagnosis and monitoring of mild traumatic brain injury (mTBI) include the development of plasma biomarkers for assessing neurologic injury, monitoring pathogenesis, and predicting vulnerability for the development of untoward neurologic outcomes. While several biomarker proteins have shown promise in this regard, used individually, these candidates lack adequate sensitivity and/or specificity for making a definitive diagnosis or identifying those at risk of subsequent pathology. The objective for this study was to evaluate a panel of six recognized and novel biomarker candidates for the assessment of TBI in adult patients. The biomarkers studied were selected on the basis of their relative brain-specificities and potentials to reflect distinct features of TBI mechanisms including (1) neuronal damage assessed by neuron-specific enolase (NSE) and brain derived neurotrophic factor (BDNF); (2) oxidative stress assessed by peroxiredoxin 6 (PRDX6); (3) glial damage and gliosis assessed by glial fibrillary acidic protein and S100 calcium binding protein beta (S100b); (4) immune activation assessed by monocyte chemoattractant protein 1/chemokine (C-C motif) ligand 2 (MCP1/CCL2); and (5) disruption of the intercellular adhesion apparatus assessed by intercellular adhesion protein-5 (ICAM-5). The combined fold-changes in plasma levels of PRDX6, S100b, MCP1, NSE, and BDNF resulted in the formulation of a TBI assessment score that identified mTBI with a receiver operating characteristic (ROC) area under the curve of 0.97, when compared to healthy controls. This research demonstrates that a profile of biomarker responses can be used to formulate a diagnostic score that is sensitive for the detection of mTBI. Ideally, this multivariate assessment strategy will be refined with additional biomarkers that can effectively assess the spectrum of TBI and identify those at particular risk for developing neuropathologies as consequence of a mTBI event.

Indexed as

assessment scorebiomarkershumanmild traumatic brain injurymultivariate analysis

Identifiers

PMID25870583
PMCPMC4378282

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.