Evidence map›Paper›PMID 31105646›Full record

ReviewFrontiers in neurology2019

Blood Biomarkers for Traumatic Brain Injury: A Quantitative Assessment of Diagnostic and Prognostic Accuracy.

Zoe S Gan, Sherman C Stein, Randel Swanson, Shaobo Guan, Lizette Garcia, Devanshi Mehta, Douglas H Smith

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 2 pooled it
15.0field-weighted citation impact, top 1% 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

90 citing papers in PubMed, 2 syntheses or guidelines pooled it, 172 citations in OpenAlex.

  1. Pooled it
  2. Neurofilament light chain in patients with a concussion or head impacts: a systematic review and meta-analysis.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2022
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30 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

7 authors at 2 institutions in 1 country.

Zoe S GanUniversity of North Carolina School of Medicine, Chapel Hill, NC, United States.
Sherman C SteinDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Randel SwansonDepartment of Physical Medicine and Rehabilitation, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Shaobo GuanDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Lizette GarciaDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Devanshi MehtaDepartment of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Douglas H SmithDepartment of Neurosurgery, Perelman School of Medicine, Center for Brain Injury and Repair, University of Pennsylvania, Philadelphia, PA, United States.
University of Pennsylvania · USUniversity of North Carolina at Chapel Hill · US

Funding

Rehabilitation Medicine Scientist Training (RMST) ProgramK12HD001097 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 1995 to 2016
$14.1M
TBI: Uncovering Mechanisms of AD-like pathologyR01NS038104 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SMITH, DOUGLAS HAMILTON · 1999 to 2020
$7.6M
Neuropathological Characterization of 'CTE'R01NS094003 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Douglas Hamilton Smith, William Stewart · 2016 to 2026
$5.1M
Detection and Mechanisms of Mild Traumatic Brain InjuryR01NS092398 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SMITH, DOUGLAS HAMILTON · 2015 to 2019
$1.9M
Uncovering mechanical mechanisms of traumatic axonal injuryR01EB021293 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SHENOY, VIVEK, SMITH, DOUGLAS HAMILTON · 2016 to 2019
$1.4M
NIBIB NIH HHS R01 EB021293NICHD NIH HHS K12 HD001097NINDS NIH HHS R01 NS038104NINDS NIH HHS R01 NS092398NINDS NIH HHS R01 NS094003
6 · The paper itself

Abstract

Blood biomarkers have been explored for their potential to provide objective measures in the assessment of traumatic brain injury (TBI). However, it is not clear which biomarkers are best for diagnosis and prognosis in different severities of TBI. Here, we compare existing studies on the discriminative abilities of serum biomarkers for four commonly studied clinical situations: detecting concussion, predicting intracranial damage after mild TBI (mTBI), predicting delayed recovery after mTBI, and predicting adverse outcome after severe TBI (sTBI). We conducted a literature search of publications on biomarkers in TBI published up until July 2018. Operating characteristics were pooled for each biomarker for comparison. For detecting concussion, 4 biomarker panels and creatine kinase B type had excellent discriminative ability. For detecting intracranial injury and the need for a head CT scan after mTBI, 2 biomarker panels, and hyperphosphorylated tau had excellent operating characteristics. For predicting delayed recovery after mTBI, top candidates included calpain-derived αII-spectrin N-terminal fragment, tau A, neurofilament light, and ghrelin. For predicting adverse outcome following sTBI, no biomarker had excellent performance, but several had good performance, including markers of coagulation and inflammation, structural proteins in the brain, and proteins involved in homeostasis. The highest-performing biomarkers in each of these categories may provide insight into the pathophysiologies underlying mild and severe TBI. With further study, these biomarkers have the potential to be used alongside clinical and radiological data to improve TBI diagnostics, prognostics, and evidence-based medical management.

Indexed as

biomarkerbiomarkersconcussiondiagnosisprognosisTBItraumatic brain injury

Identifiers

PMID31105646
PMCPMC6498532
OpenAlexW2940677715

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.