Evidence map›Paper›PMID 32775958›Full record

ArticleOpen access journal of neurology & neurosurgery2020

Current Trends in Biomarkers for Traumatic Brain Injury.

Tejas Mehta, Muniba Fayyaz, Gema E Giler, Harleen Kaur, Sudhanshu P Raikwar, Duraisamy Kempuraj, Govindhasamy Pushpavathi Selvakumar, Mohammad Ejaz Ahmed, Ramasamy Thangavel, Smita Zaheer and 3 more

Abstract read
In one paragraph

Article in Open access journal of neurology & neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  11. Isolating Astrocyte-Derived Extracellular Vesicles From Urine.International journal of nanomedicine · 2025
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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

13 authors.

Tejas MehtaDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Muniba FayyazDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Gema E GilerDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Harleen KaurDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Sudhanshu P RaikwarDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Duraisamy KempurajDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Govindhasamy Pushpavathi SelvakumarDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Mohammad Ejaz AhmedDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Ramasamy ThangavelDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Smita ZaheerDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Shankar IyerDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Raghav GovindarajanDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.
Asgar ZaheerDepartment of Neurology and Center for Translational Neuroscience, School of Medicine, University of Missouri, Columbia, MO, USA.

Funding

Therapeutic potential of GMF suppresssion in inflammation and neurodegenerationR01AG048205 · NIA · UNIVERSITY OF MISSOURI-COLUMBIA · PI ZAHEER, ASGAR · 2015 to 2019
$1.6M
NIA NIH HHS R01 AG048205
6 · The paper itself

Abstract

Neurotrauma, especially Traumatic Brain Injury (TBI) is a major health concern not only for the civilian population but also for the military personnel. Currently there are no precision and regenerative therapies available for the successful treatment of TBI patients. Hence, early detection and treatment options may prevent the severity and untoward harmful effects of TBI. However, currently there are no effective biomarkers available for the rapid and robust diagnosis as well as prognosis of TBI. Several biomarkers in blood, cerebrospinal fluid (CSF), saliva and urine have been explored to assess the onset, progression, severity and prognosis of TBI recently. Present knowledge on the blood biomarkers including cytokines and chemokines and in vivo imaging modalities are useful to some extent to detect and treat TBI patients. Here, we review S100B, Glial Fibrillary Acidic Protein (GFAP), Neuron Specific Enolase (NSE), Myelin Basic Protein (MBP), Ubiquitin C-terminal Hydrolase L1 (UCHL1), tau protein, and alpha spectrin II break down products regarding their usefulness as a set of reliable biomarkers for the robust diagnosis of TBI. We suggest that these biomarkers may prove very useful for the diagnosis and prognosis of TBI.

Indexed as

Alpha II spectrinBiomarkersGlial Fibrillary Acidic ProteinMyelin Basic ProteinNeuron specific enolaseS100BTau proteinTraumatic brain injuryUbiquitin C-terminal Hydrolase L1

Identifiers

PMID32775958
PMCPMC7410004

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Registered trials

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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.