Evidence map›Paper›PMID 39230905›Full record

ArticleJAMA network open2024

Diagnostic Performance of GFAP, UCH-L1, and MAP-2 Within 30 and 60 Minutes of Traumatic Brain Injury.

Linda Papa, W Ian McKinley, Alex B Valadka, Zachary C Newman, Rachel K Nordgren, Pierce E Pramuka, Claire E Barbosa, Alexandra M P Brito, Lindsey J Loss, Luis Tinoco-Garcia and 3 more

Abstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Pathway-level proteomics identifies subcellular trafficking dysregulation as a molecular signature in severe traumatic brain injury.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  7. Article
  8. Review
  9. Observational
  10. Article
  11. Defining Acute Stress Reactions to support large scale combat operations.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2026
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Linda PapaDepartment of Emergency Medicine, Orlando Regional Medical Center, Orlando, Florida.
W Ian McKinleyDepartment of Surgery, The University of Chicago Medicine, Chicago, Illinois.
Alex B ValadkaDepartment of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas.
Zachary C NewmanPritzker School of Medicine, University of Chicago, Chicago, Illinois.
Rachel K NordgrenDepartment of Public Health Sciences, University of Chicago, Chicago, Illinois.
Pierce E PramukaDepartment of Surgery, The University of Chicago Medicine, Chicago, Illinois.
Claire E BarbosaDepartment of Social Sciences and Psychology, University of Chicago, Chicago, Illinois.
Alexandra M P BritoDepartment of Surgery, Oregon Health and Science University, Portland.
Lindsey J LossDepartment of Surgery, Oregon Health and Science University, Portland.
Luis Tinoco-GarciaDepartment of Surgery, Oregon Health and Science University, Portland.
H E HinsonDepartment of Neurology, University of California, San Francisco.
Martin A SchreiberDepartment of Surgery, Oregon Health and Science University, Portland.
Susan E RowellDepartment of Surgery, The University of Chicago Medicine, Chicago, Illinois.

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
Predictors of Low-risk Phenotypes after Traumatic Brain Injury Incorporating Proteomic Biomarker Signatures.K23NS110828 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HINSON, HOLLY ELAINE · 2020 to 2024
$1.0M
NHLBI NIH HHS R01 HL126585NINDS NIH HHS K23 NS110828
6 · The paper itself

Abstract

Importance: Data on the performance of traumatic brain injury (TBI) biomarkers within minutes of injury are lacking. Objectives: To examine the performance of glial fibrillary acidic protein (GFAP), ubiquitin carboxy-terminal hydrolase L1 (UCH-L1), and microtubule-associated protein 2 (MAP-2) within 30 and 60 minutes of TBI in identifying intracranial lesions on computed tomography (CT) scan, need for neurosurgical intervention (NSI), and clinically important early outcomes (CIEO). Design, Setting, and Participants: This cohort study is a biomarker analysis of a multicenter prehospital TBI cohort from the Prehospital Tranexamic Acid Use for TBI clinical trial conducted across 20 centers and 39 emergency medical systems in North America from May 2015 to March 2017. Prehospital hemodynamically stable adult patients with traumatic injury and suspected moderate to severe TBI were included. Blood samples were measured for GFAP, UCH-L1, and MAP-2. Data were analyzed from December 1, 2023, to March 15, 2024. Main Outcomes and Measures: The presence of CT lesions, diffuse injury severity on CT, NSI within 24 hours of injury, and CIEO (composite outcome including early death, neurosurgery, or prolonged mechanical ventilation ≥7 days) within 7 days of injury. Results: Of 966 patients enrolled, 804 patients (mean [SD] age, 41 [19] years; 418 [74.2%] male) had blood samples, including 563 within 60 minutes and 375 within 30 minutes of injury. Among patients with blood drawn within 30 minutes of injury, 212 patients (56.5%) had CT lesions, 61 patients (16.3%) had NSI, and 112 patients (30.0%) had CIEO. Among those with blood drawn within 60 minutes, 316 patients (56.1%) had CT lesions, 95 patients (16.9%) had NSI, and 172 patients (30.6%) had CIEO. All biomarkers showed significant elevations with worsening diffuse injury on CT within 30 and 60 minutes of injury. Among blood samples taken within 30 minutes, GFAP had the highest area under the receiver operating characteristic curve (AUC) to detect CT lesions, at 0.88 (95% CI, 0.85-0.92), followed by MAP-2 (AUC, 0.78; 95% CI, 0.73-0.83) and UCH-L1 (AUC, 0.75; 95% CI, 0.70-0.80). Among blood samples taken within 60 minutes, AUCs for CT lesions were 0.89 (95% CI, 0.86-0.92) for GFAP, 0.76 (95% CI, 0.72-0.80) for MAP-2, and 0.73 (95% CI, 0.69-0.77) for UCH-L1. Among blood samples taken within 30 minutes, AUCs for NSI were 0.78 (95% CI, 0.72-0.84) for GFAP, 0.75 (95% CI, 0.68-0.81) for MAP-2, and 0.69 (95% CI, 0.63-0.75) for UCH-L1; and for CIEO, AUCs were 0.89 (95% CI, 0.85-0.93) for GFAP, 0.83 (95% CI, 0.78-0.87) for MAP-2, and 0.77 (95% CI, 0.72-0.82) for UCH-L1. Combining the biomarkers was no better than GFAP alone for all outcomes. At GFAP of 30 pg/mL within 30 minutes, sensitivity for CT lesions was 98.1% (95% CI, 94.9%-99.4%) and specificity was 34.4% (95% CI, 27.2%-42.2%). GFAP levels greater than 6200 pg/mL were associated with high risk of NSI and CIEO. Conclusions and Relevance: In this cohort study of prehospital patients with TBI, GFAP, UCH-L1, and MAP-2 measured within 30 and 60 minutes of injury were significantly associated with traumatic intracranial lesions and diffuse injury severity on CT scan, 24-hour NSI, and 7-day CIEO. GFAP was the strongest independent marker associated with all outcomes. This study sets a precedent for the early utility of GFAP in the first 30 minutes from injury in future clinical and research endeavors.

Indexed as

BiomarkersBrain Injuries, TraumaticGlial Fibrillary Acidic ProteinMicrotubule-Associated ProteinsUbiquitin ThiolesteraseAdultCohort StudiesFemaleHumansMaleMiddle AgedTime FactorsTomography, X-Ray ComputedBiomarkersGFAP protein, humanGlial Fibrillary Acidic ProteinMAP2 protein, humanMicrotubule-Associated ProteinsUbiquitin ThiolesteraseUCHL1 protein, human

Identifiers

PMID39230905
PMCPMC11375473

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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.