Evidence map›Paper›PMID 20847541›Full record

ArticleDevelopmental neuroscience2010

Trajectory analysis of serum biomarker concentrations facilitates outcome prediction after pediatric traumatic and hypoxemic brain injury.

Rachel Pardes Berger, Michael C Bazaco, Amy K Wagner, Patrick M Kochanek, Anthony Fabio

Abstract read
In one paragraph

Article in Developmental neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  17. Serial measurement of S100B and NSE in pediatric traumatic brain injury.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2019
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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.

Rachel Pardes BergerDepartment of Pediatrics, Children's Hospital of Pittsburgh of UPMC, Safar Center for Resuscitation Research, Pittsburgh, PA 15227, USA. Rachel.p.berger@gmail.com
Michael C Bazaco
Amy K Wagner
Patrick M Kochanek
Anthony Fabio

Funding

Novel Approaches to Screening for Inflicted Childhood NeurotraumaR01HD055986 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BERGER, RACHEL P · 2009 to 2014
$2.8M
Injury control research centersR49CE323155 · CE · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FABIO, ANTHONY · 2005 to 2008
$2.6M
NCIPC CDC HHS R49 CE323155NICHD NIH HHS R01 HD055986NICHD NIH HHS R01HD055986
6 · The paper itself

Abstract

Traumatic brain injury (TBI) and hypoxic ischemic encephalopathy (HIE) are leading causes of morbidity and mortality in children. Several studies over the past several years have evaluated the use of serum biomarkers to predict outcome after pediatric brain injury. These studies have all used simple point estimates such as initial and peak biomarker concentrations to predict outcome. However, this approach does not recognize patterns of change over time. Trajectory analysis is a type of analysis which can capture variance in biomarker concentrations over time and has been used with success in the social sciences. We used trajectory analysis to evaluate the ability of the serum concentrations of 3 brain-specific biomarkers - S100B, neuron-specific enolase (NSE) and myelin basic protein (MBP) - to predict poor outcome (Glasgow Outcome Scale scores 3-5) after pediatric TBI and HIE. Clinical and biomarker data from 100 children with TBI or HIE were evaluated. For each biomarker, we validated 2-, 3- and 4-group models for outcome prediction, using sensitivity and specificity. For S100B, the 3-group model predicted poor outcome with a sensitivity of 59% and specificity of 100%. For NSE, the 3-group model predicted poor outcome with a sensitivity of 48% and specificity of 98%. For MBP, the 3-group model predicted poor outcome with a sensitivity of 73% and specificity of 61%. Thus, when the models predicted a poor outcome, there was a very high probability of a poor outcome. In contrast, 17% of subjects with a poor outcome were predicted to have a good outcome by all 3 biomarker trajectories. These data suggest that trajectory analysis of biomarker data may provide a useful approach for predicting outcome after pediatric brain injury.

Indexed as

Recovery of FunctionBiomarkersBrain InjuriesChildChild, PreschoolEnzyme-Linked Immunosorbent AssayFemaleGlasgow Outcome ScaleHumansHypoxia, BrainMaleModels, StatisticalMyelin Basic ProteinNerve Growth FactorsPhosphopyruvate HydrataseS100 Calcium Binding Protein beta SubunitBiomarkersMyelin Basic ProteinNerve Growth FactorsPhosphopyruvate HydrataseS100B protein, humanS100 Calcium Binding Protein beta SubunitS100 Proteins

Identifiers

PMID20847541
PMCPMC3215242

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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.