Evidence map›Paper›PMID 24260364›Full record

ArticlePloS one2013

Combining biochemical and imaging markers to improve diagnosis and characterization of mild traumatic brain injury in the acute setting: results from a pilot study.

Zhifeng Kou, Ramtilak Gattu, Firas Kobeissy, Robert D Welch, Brian J O'Neil, John L Woodard, Syed Imran Ayaz, Andrew Kulek, Robert Kas-Shamoun, Valerie Mika and 3 more

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 5 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

46 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Pooled it
  6. Research progress on biomarkers of traumatic brain injury.Animal models and experimental medicine · 2026
    Review
  7. Serum Biomarkers in Paediatric Neurosurgery: Traumatic Brain Injury and Beyond.Advances and technical standards in neurosurgery · 2026
    Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
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  16. Traumatic Brain Injury Biomarkers, Simulations and Kinetics.Bioengineering (Basel, Switzerland) · 2022
    Article
  17. Article
  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

13 authors.

Zhifeng KouDepartment of Biomedical Engineering, Wayne State University, Detroit, Michigan, United States of America ; Department of Radiology, School of Medicine, Wayne State University, Detroit, Michigan, United States of America.
Ramtilak Gattu
Firas Kobeissy
Robert D Welch
Brian J O'Neil
John L Woodard
Syed Imran Ayaz
Andrew Kulek
Robert Kas-Shamoun
Valerie Mika
Conor Zuk
Francesco Tomasello
Stefania Mondello

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMild traumatic brain injury (mTBI) is a significant healthcare burden and its diagnosis remains a challenge in the emergency department. Serum biomarkers and advanced magnetic resonance imaging (MRI) techniques have already demonstrated their potential to improve the detection of brain injury even in patients with negative computed tomography (CT) findings. The objective of this study was to determine the clinical value of a combinational use of both blood biomarkers and MRI in mTBI detection and their characterization in the acute setting (within 24 hours after injury).

methodsNine patients with mTBI were prospectively recruited from the emergency department. Serum samples were collected at the time of hospital admission and every 6 hours up to 24 hours post injury. Neuronal (Ubiquitin C-terminal Hydrolase-L1 [UCH-L1]) and glial (glial fibrillary acidic protein [GFAP]) biomarker levels were analyzed. Advanced MRI data were acquired at 9 ± 6.91 hours after injury. Patients' neurocognitive status was assessed by using the Standard Assessment of Concussion (SAC) instrument.

resultsThe median serum levels of UCH-L1 and GFAP on admission were increased 4.9 folds and 10.6 folds, respectively, compared to reference values. Three patients were found to have intracranial hemorrhages on SWI, all of whom had very high GFAP levels. Total volume of brain white matter (WM) with abnormal fractional anisotropy (FA) measures of diffusion tensor imaging (DTI) were negatively correlated with patients' SAC scores, including delayed recall. Both increased and decreased DTI-FA values were observed in the same subjects. Serum biomarker level was not correlated with patients' DTI data nor SAC score.

conclusionsBlood biomarkers and advanced MRI may correlate or complement each other in different aspects of mTBI detection and characterization. GFAP might have potential to serve as a clinical screening tool for intracranial bleeding. UCH-L1 complements MRI in injury detection. Impairment at WM tracts may account for the patients' neurocognitive symptoms.

Indexed as

AdultAnisotropyBiomarkersBrainBrain InjuriesCognitionDiffusion Tensor ImagingFemaleHumansIntracranial HemorrhagesMagnetic Resonance ImagingMaleMiddle AgedNerve Tissue ProteinsPilot ProjectsUbiquitin ThiolesteraseBiomarkersNerve Tissue ProteinsUbiquitin ThiolesteraseUCHL1 protein, human

Identifiers

PMID24260364
PMCPMC3833898

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Registered trials

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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.