Evidence map›Paper›PMID 28355230›Full record

ArticlePloS one2017

A blood-based biomarker panel to risk-stratify mild traumatic brain injury.

Richa Sharma, Alexandra Rosenberg, Ellen R Bennett, Daniel T Laskowitz, Shawn K Acheson

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Interleukin-6 and its association with outcome in traumatic brain injury: a prospective cohort.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Persistent neuroinflammation and behavioural deficits after single mild traumatic brain injury.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
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  18. Article
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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

5 authors.

Richa SharmaSchool of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America.
Alexandra RosenbergSchool of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America.
Ellen R BennettDepartment of Neurology, Duke University Medical Center, Durham, North Carolina, United States of America.
Daniel T LaskowitzSchool of Medicine, Duke University Medical Center, Durham, North Carolina, United States of America.
Shawn K AchesonDurham VA Medical Center, Durham, North Carolina, United States of America.

Funding

BLRD VA IK2 BX001267
6 · The paper itself

Abstract

Mild traumatic brain injury (TBI) accounts for the vast majority of the nearly two million brain injuries suffered in the United States each year. Mild TBI is commonly classified as complicated (radiographic evidence of intracranial injury) or uncomplicated (radiographically negative). Such a distinction is important because it helps to determine the need for further neuroimaging, potential admission, or neurosurgical intervention. Unfortunately, imaging modalities such as computed tomography (CT) and magnetic resonance imaging (MRI) are costly and not without some risk. The purpose of this study was to screen 87 serum biomarkers to identify a select panel of biomarkers that would predict the presence of intracranial injury as determined by initial brain CT. Serum was collected from 110 patients who sustained a mild TBI within 24 hours of blood draw. Two models were created. In the broad inclusive model, 72kDa type IV collagenase (MMP-2), C-reactive protein (CRP), creatine kinase B type (CKBB), fatty acid binding protein-heart (hFABP), granulocyte-macrophage colony-stimulating factor (GM-CSF) and malondialdehyde modified low density lipoprotein (MDA-LDL) significantly predicted injury visualized on CT, yielding an overall c-statistic of 0.975 and a negative predictive value (NPV) of 98.6. In the parsimonious model, MMP-2, CRP, and CKBB type significantly predicted injury visualized on CT, yielding an overall c-statistic of 0.964 and a negative predictive value (NPV) of 97.2. These results suggest that a serum based biomarker panel can accurately differentiate patients with complicated mild TBI from those with uncomplicated mild TBI. Such a panel could be useful to guide early triage decisions, including the need for further evaluation or admission, especially in those environments in which resources are limited.

Indexed as

AdultAgedBiomarkersBrain ConcussionC-Reactive ProteinCreatine Kinase, BB FormFatty Acid-Binding ProteinsGlasgow Coma ScaleGranulocyte-Macrophage Colony-Stimulating FactorHumansLipoproteins, LDLMaleMalondialdehydeMatrix Metalloproteinase 2Middle AgedNeuroimagingBiomarkersC-Reactive ProteinCreatine Kinase, BB FormFatty Acid-Binding ProteinsGranulocyte-Macrophage Colony-Stimulating FactorLipoproteins, LDLMalondialdehydemalondialdehyde-low density lipoprotein, humanMatrix Metalloproteinase 2MMP2 protein, human

Identifiers

PMID28355230
PMCPMC5371303

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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.