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ReviewChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2010

Clinical applications of biomarkers in pediatric traumatic brain injury.

Simon J I Sandler, Anthony A Figaji, P David Adelson

Abstract readReview
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In one paragraph

Review in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
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  4. Research progress on biomarkers of traumatic brain injury.Animal models and experimental medicine · 2026
    Review
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  16. Scalp Haematoma in Cerebral Palsy Case due to Unknown Cause - A Rare Case Report.Journal of clinical and diagnostic research : JCDR · 2016
    Article
  17. Review
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  19. Hypermethylation of the enolase gene (ENO2) in autism.European journal of pediatrics · 2014
    Article
  20. Review
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

3 authors.

Simon J I SandlerDivision of Neurosurgery, School of Child and Adolescent Health, Red Cross War Memorial Children's Hospital, University of Cape Town, Klipfontein Road, Rondebosch, Cape Town, South Africa.
Anthony A Figaji
P David Adelson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe diagnosis, treatment, and prediction of outcome in pediatric traumatic brain injury (TBI) present significant challenges to the treating clinician. Clinical and radiological tools for assessing injury severity and predicting outcome, in particular, lack sensitivity and specificity. In patients with mild TBI, often there is uncertainty about which patients should undergo radiological imaging and who is at risk for long term neurological sequelae. In severe TBI, often there is uncertainty about which patients will experience secondary insults and what the outcome for individual patients will be. In several other clinical specialties, biomarkers are used to diagnose disease, direct treatment, and prognosticate. However, an ideal biomarker for brain injury has not been found.

methodsIn this review, we examine the various factors that must be taken into account in the search for a reliable biomarker in brain injury. We review the important studies that have investigated common biomarkers of structural brain injury, in particular S100B, neuron-specific enolase, myelin basic protein, and glial fibrillary acid protein. DISCUSSION: The potential uses and limitations of these biomarkers in the context of TBI are discussed.

Indexed as

AnimalsBiomarkersBrain InjuriesChildHumansBiomarkers

Identifiers

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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.