Evidence map›Paper›PMID 25264814›Full record

Trial reportJournal of neurotrauma2015

Measurement of the glial fibrillary acidic protein and its breakdown products GFAP-BDP biomarker for the detection of traumatic brain injury compared to computed tomography and magnetic resonance imaging.

Paul J McMahon, David M Panczykowski, John K Yue, Ava M Puccio, Tomoo Inoue, Marco D Sorani, Hester F Lingsma, Andrew I R Maas, Alex B Valadka, Esther L Yuh and 4 more

Registry-linked trialAbstract readClinical TrialComparative StudyMulticenter Study
In one paragraph

Trial report in Journal of neurotrauma, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01565551 (Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot), which is not on this map. Cited by 68 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 4 pooled it
6.8field-weighted citation impact, top 3% of its field
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.

NCT01565551 completednot on this map

Transforming Research and Clinical Knowledge in Traumatic Brain Injury Pilot

TypeobservationalSponsorUniversity of California, San FranciscoRan2010 to 2013Enrolled650ConditionsTraumatic Brain InjuryArmsN/A (Observational Study)
3 · Its place in the literature

Who cites it

68 citing papers in PubMed, 4 syntheses or guidelines pooled it, 123 citations in OpenAlex.

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  7. Research progress on biomarkers of traumatic brain injury.Animal models and experimental medicine · 2026
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8 more citing papers are in PubMed but not listed here.

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

14 authors at 7 institutions in 6 countries.

Paul J McMahon1 Department of Neurological Surgery, University of Pittsburgh Medical Center , Pittsburgh, Pennsylvania.
David M Panczykowski
John K Yue
Ava M Puccio
Tomoo Inoue
Marco D Sorani
Hester F Lingsma
Andrew I R Maas
Alex B Valadka
Esther L Yuh
Pratik Mukherjee
Geoffrey T Manley
David O Okonkwo
TRACK-TBI Investigators
University of California, San Francisco · USUniversity of Pittsburgh Medical Center · USUniversity of Cambridge · GBAntwerp University Hospital · BEErasmus MC · NLIcahn School of Medicine at Mount Sinai · USNeurogen Brain & Spine Institute · IN

Funding

Transforming Traumatic Brain Injury Research and Clinical CareRC2NS069409 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MANLEY, GEOFFREY T · 2009 to 2011
$4.3M
NINDS NIH HHS 1RC2 NS069409
6 · The paper itself

Abstract

Glial fibrillary acidic protein and its breakdown products (GFAP-BDP) are brain-specific proteins released into serum as part of the pathophysiological response after traumatic brain injury (TBI). We performed a multi-center trial to validate and characterize the use of GFAP-BDP levels in the diagnosis of intracranial injury in a broad population of patients with a positive clinical screen for head injury. This multi-center, prospective, cohort study included patients 16-93 years of age presenting to three level 1 trauma centers with suspected TBI (loss of consciousness, post-trauma amnesia, and so on). Serum GFAP-BDP levels were drawn within 24 h and analyzed, in a blinded fashion, using sandwich enzyme-linked immunosorbent assay. The ability of GFAP-BDP to predict intracranial injury on admission computed tomography (CT) as well as delayed magnetic resonance imaging was analyzed by multiple regression and assessed by the area under the receiver operating characteristic curve (AUC). Utility of GFAP-BDP to predict injury and reduce unnecessary CT scans was assessed utilizing decision curve analysis. A total of 215 patients were included, of which 83% suffered mild TBI, 4% moderate, and 12% severe; mean age was 42.1±18 years. Evidence of intracranial injury was present in 51% of the sample (median Rotterdam Score, 2; interquartile range, 2). GFAP-BDP demonstrated very good predictive ability (AUC=0.87) and demonstrated significant discrimination of injury severity (odds ratio, 1.45; 95% confidence interval, 1.29-1.64). Use of GFAP-BDP yielded a net benefit above clinical screening alone and a net reduction in unnecessary scans by 12-30%. Used in conjunction with other clinical information, rapid measurement of GFAP-BDP is useful in establishing or excluding the diagnosis of radiographically apparent intracranial injury throughout the spectrum of TBI. As an adjunct to current screening practices, GFAP-BDP may help avoid unnecessary CT scans without sacrificing sensitivity (Registry: ClinicalTrials.gov Identifier: NCT01565551).

Indexed as

Predictive Value of TestsAdolescentAdultAgedAged, 80 and overBiomarkersBrain InjuriesChildFemaleGlial Fibrillary Acidic ProteinHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesReproducibility of ResultsBiomarkersGlial Fibrillary Acidic Proteinbiomarkersimagingtraumatic brain injury

Identifiers

PMID25264814
PMCPMC4394160
OpenAlexW2313237792

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.