Evidence map›Paper›PMID 32251265›Full record

Trial reportThe journal of trauma and acute care surgery2020

Blood-based biomarkers for prediction of intracranial hemorrhage and outcome in patients with moderate or severe traumatic brain injury.

Taylor N Anderson, Jun Hwang, Myrna Munar, Linda Papa, Holly E Hinson, Allison Vaughan, Susan E Rowell

Open access · greenAbstract readClinical Trial, Phase IIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in The journal of trauma and acute care surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 5% 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.

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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.

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  8. Serum Biomarkers in Paediatric Neurosurgery: Traumatic Brain Injury and Beyond.Advances and technical standards in neurosurgery · 2026
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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

7 authors at 1 institution in 1 country.

Taylor N AndersonFrom the School of Medicine (T.N.A.), Department of Neurology (H.E.H.), Department of Surgery (S.E.R.), Oregon Health and Science University, Portland, Oregon; Department of Biostatistics (J.H.), University of Washington, Seattle, Washington; College of Pharmacy (M.M.), Oregon State University, Corvallis, Oregon; Department of Emergency Medicine (L.P.), Orlando Regional Medical Center, Orlando, Florida; Department of Surgery (A.V.), Mercer University School of Medicine, Macon, Georgia; and Department of Surgery (S.E.R.), Duke University Medical Center, Durham, North Carolina.
Jun Hwang
Myrna Munar
Linda Papa
Holly E Hinson
Allison Vaughan
Susan E Rowell
University of Oregon · US

Funding

Blood Based Biomarkers of Injury and Outcome in the Prehospital TXA for TBI TrialR01HL126585 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI ROWELL, SUSAN · 2015 to 2018
$1.5M
NHLBI NIH HHS R01 HL126585
6 · The paper itself

Abstract

backgroundEarly identification of traumatic intracranial hemorrhage (ICH) has implications for triage and intervention. Blood-based biomarkers were recently approved by the Food and Drug Administration (FDA) for prediction of ICH in patients with mild traumatic brain injury (TBI). We sought to determine if biomarkers measured early after injury improve prediction of mortality and clinical/radiologic outcomes compared with Glasgow Coma Scale (GCS) alone in patients with moderate or severe TBI (MS-TBI).

methodsWe measured glial fibrillary acidic protein (GFAP), ubiquitin C-terminal hydrolase L1 (UCH-L1), and microtubule-associated protein-2 (MAP-2) on arrival to the emergency department (ED) in patients with blunt TBI enrolled in the placebo arm of the Prehospital TXA for TBI Trial (prehospital GCS score, 3-12; SPB, > 90). Biomarkers were modeled individually and together with prehospital predictor variables [PH] (GCS score, age, sex). Data were divided into a training data set and test data set for model derivation and evaluation. Models were evaluated for prediction of ICH, mass lesion, 48-hour and 28-day mortality, and 6-month Glasgow Outcome Scale-Extended (GOS-E) and Disability Rating Scale (DRS). Area under the curve (AUC) was evaluated in test data for PH alone, PH + individual biomarkers, and PH + three biomarkers.

resultsOf 243 patients with baseline samples (obtained a median of 84 minutes after injury), prehospital GCS score was 8 (interquartile range, 5-10), 55% had ICH, and 48-hour and 28-day mortality were 7% and 13%, respectively. Poor neurologic outcome at 6 months was observed in 34% based on GOS-E of 4 or less, and 24% based on DRS greater than or equal to7. Addition of each biomarker to PH improved AUC in the majority of predictive models. GFAP+PH compared with PH alone significantly improved AUC in all models (ICH, 0.82 vs. 0.64; 48-hour mortality, 0.84 vs. 0.71; 28-day mortality, 0.84 vs. 0.66; GOS-E, 0.78 vs. 0.69; DRS, 0.84 vs. 0.81, all p < 0.001).

conclusionCirculating blood-based biomarkers may improve prediction of neurological outcomes and mortality in patients with MS-TBI over prehospital characteristics alone. Glial fibrillary acidic protein appears to be the most promising. Future evaluation in the prehospital setting is warranted. LEVEL OF EVIDENCE: Prospective, Prognostic and Epidemiological, level II.

Indexed as

AdultAntifibrinolytic AgentsBiomarkersBrain Injuries, TraumaticDouble-Blind MethodEmergency Service, HospitalFemaleGlasgow Coma ScaleGlial Fibrillary Acidic ProteinHumansIntracranial HemorrhagesMaleMicrotubule-Associated ProteinsMiddle AgedPredictive Value of TestsTranexamic AcidAntifibrinolytic AgentsBiomarkersGlial Fibrillary Acidic ProteinMAP2 protein, humanMicrotubule-Associated ProteinsTranexamic AcidUbiquitin Thiolesterase

Identifiers

PMID32251265
PMCPMC7311234
OpenAlexW3014161351

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.