Evidence map›Paper›PMID 33403583›Full record

ArticleNeurocritical care2021

Biofluid Biomarkers in Traumatic Brain Injury: A Systematic Scoping Review.

Maryam Edalatfar, Seyed Mohammad Piri, Mohammad-Mehdi Mehrabinejad, Monireh-Sadat Mousavi, Sogol Meknatkhah, Mohammad-Reza Fattahi, Zeinab Kavyani, Abdolkarim Hajighadery, Meysam Kaveh, Armin Aryannejad and 6 more

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Neurocritical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Ganoderic Acid a Promotes Functional Recovery After Traumatic Brain Injury By Protecting Blood-brain Barrier Integrity and Modulating Microglial Polarization.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026
    Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Prognostication in traumatic brain injury.Neurosurgical review · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Blood Biomarkers in Brain Injury Medicine.Current physical medicine and rehabilitation reports · 2022
    Article
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

16 authors at 7 institutions in 2 countries.

Maryam Edalatfar *Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Seyed Mohammad Piri *Sina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Mohammad-Mehdi MehrabinejadSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Monireh-Sadat MousaviLaboratory of Neuro-Organic Chemistry, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Sogol MeknatkhahLaboratory of Neuro-Organic Chemistry, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Mohammad-Reza FattahiSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Zeinab KavyaniMaternal-Fetal and Neonatal Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Abdolkarim HajighaderySina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Meysam KavehSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Armin AryannejadSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Mohammad GhafouriSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Elham JamshidiStudent Research Committee, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohamad Mehdi RezwanifarSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran.
Mohsen Sadeghi-NainiDepartment of Neurosurgery, Imam Hossein Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran.
Ausaf BariDepartment of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, USA.
Mahdi Sharif-AlhoseiniSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Sina Hospital, Hassan-Abad Square, Imam Khomeini Ave, Tehran, 11365-3876, Iran. sharif.mahdi@gmail.com.ORCID http://orcid.org/0000-0001-7213-2107
Sina Hospital · IRUniversity of Tehran · IRImam Hossein Hospital · IRImam Khomeini Hospital · IRShahid Beheshti University of Medical Sciences · IRTehran University of Medical Sciences · IRUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence suggests that biofluid-based biomarkers have diagnostic and prognostic potential in traumatic brain injuries (TBI). However, owing to the lack of a conceptual framework or comprehensive review, it is difficult to visualize the breadth of materials that might be available. We conducted a systematic scoping review to map and categorize the evidence regarding biofluid-based biochemical markers of TBI. A comprehensive search was undertaken in January 2019. Of 25,354 records identified through the literature search, 1036 original human studies were included. Five hundred forty biofluid biomarkers were extracted from included studies and classified into 19 distinct categories. Three categories of biomarkers including cytokines, coagulation tests, and nerve tissue proteins were investigated more than others and assessed in almost half of the studies (560, 515, and 502 from 1036 studies, respectively). S100 beta as the most common biomarker for TBI was tested in 21.2% of studies (220 articles). Cortisol was the only biomarker measured in blood, cerebrospinal fluid, urine, and saliva. The most common sampling time was at admission and within 24 h of injury. The included studies focused mainly on biomarkers from blood and central nervous system sources, the adult population, and severe and blunt injuries. The most common outcome measures used in studies were changes in biomarker concentration level, Glasgow coma scale, Glasgow outcome scale, brain computed tomography scan, and mortality rate. Biofluid biomarkers could be clinically helpful in the diagnosis and prognosis of TBI. However, there was no single definitive biomarker with accurate characteristics. The present categorization would be a road map to investigate the biomarkers of the brain injury cascade separately and detect the most representative biomarker of each category. Also, this comprehensive categorization could provide a guiding framework to design combined panels of multiple biomarkers.

Indexed as

Brain InjuriesBrain Injuries, TraumaticAdultBiomarkersGlasgow Coma ScaleGlasgow Outcome ScaleHumansBiomarkersBiomarkersDiagnosisPrognosisTraumatic brain injuries

Identifiers

PMID33403583
OpenAlexW3119532665

What OpenQuestion holds

Textmetadata
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.