Evidence map›Paper›PMID 37481590›Full record

ArticleCritical care (London, England)2023

Using metabolomics to predict severe traumatic brain injury outcome (GOSE) at 3 and 12 months.

Mohammad M Banoei, Chel Hee Lee, James Hutchison, William Panenka, Cheryl Wellington, David S Wishart, Brent W Winston, Canadian biobank, database for Traumatic Brain Injury (CanTBI) investigators, the Canadian Critical Care Translational Biology Group (CCCTBG), the Canadian Traumatic Brain Injury Research, Clinical Network (CTRC)

Registry-linked trialOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in Critical care (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07292766 (Metabolomic Profiling of Patients With Traumatic Brain Injury), which is not on this map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.9field-weighted citation impact, top 2% 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.

NCT07292766 recruitingnot on this mapstarted 2024, after this paper: background citation

Metabolomic Profiling of Patients With Traumatic Brain Injury

TypeobservationalSponsorDr Abdurrahman Yurtaslan Ankara Oncology Training and Research HospitalRan2024 to 2026Enrolled60ConditionsTraumatic Brain Injury, Traumatic Brain Injury (TBI) Patients
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  5. Metabolomics of cerebrospinal fluid following traumatic brain injury: Exploration of biomarkers for secondary injuries and severity.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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  7. Review
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  11. Interleukin-6 and its association with outcome in traumatic brain injury: a prospective cohort.Scandinavian journal of trauma, resuscitation and emergency medicine · 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

8 authors at 15 institutions in 2 countries.

Mohammad M BanoeiDepartment of Critical Care Medicine, University of Calgary, Alberta, Canada.
Chel Hee LeeDepartment of Critical Care Medicine, University of Calgary, Alberta, Canada.
James HutchisonDepartment of Pediatrics and Critical Care and Neuroscience and Mental Health Research Program, SickKids and Interdepartmental Division of Critical Care and Institute for Medical Science, The University of Toronto, Toronto, ON, Canada.
William PanenkaBC Mental Health and Substance Use Research Institute and the Department of Psychiatry, Faculty of Medicine, University of British Colombia, British Colombia, Canada.
Cheryl WellingtonDjavad Mowafaghian Centre for Brain Health, University of British Columbia, British Colombia, Canada.
David S WishartDepartment of Biological Sciences, Computing Sciences and Medicine and Dentistry, University of Alberta, Alberta, Canada.
Brent W WinstonDepartment of Critical Care Medicine, University of Calgary, Alberta, Canada. bwinston@ucalgary.ca.
Canadian biobank, database for Traumatic Brain Injury (CanTBI) investigators, the Canadian Critical Care Translational Biology Group (CCCTBG), the Canadian Traumatic Brain Injury Research, Clinical Network (CTRC)
Hospital for Sick Children · CAUniversity of British Columbia · CAUniversity of Calgary · CABC Children's Hospital · CAQueen Elizabeth II Health Sciences Centre · CABC Mental Health & Substance Use Services · CACentre Hospitalier Universitaire Sainte-Justine · CAToronto Rehabilitation Institute · CAUniversity of Alberta · CAAlberta Children's Hospital · CAHolland Bloorview Kids Rehabilitation Hospital · CASt. Michael's Hospital · CASt. Paul's Hospital · CAThe University of Queensland · AUUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrognostication is very important to clinicians and families during the early management of severe traumatic brain injury (sTBI), however, there are no gold standard biomarkers to determine prognosis in sTBI. As has been demonstrated in several diseases, early measurement of serum metabolomic profiles can be used as sensitive and specific biomarkers to predict outcomes.

methodsWe prospectively enrolled 59 adults with sTBI (Glasgow coma scale, GCS ≤ 8) in a multicenter Canadian TBI (CanTBI) study. Serum samples were drawn for metabolomic profiling on the 1st and 4th days following injury. The Glasgow outcome scale extended (GOSE) was collected at 3- and 12-months post-injury. Targeted direct infusion liquid chromatography-tandem mass spectrometry (DI/LC-MS/MS) and untargeted proton nuclear magnetic resonance spectroscopy (

resultsSerum metabolic profiles on days 1 and 4 post-injury were highly predictive (Q DISCUSSION: Metabolomic profiles were strongly associated with the prognosis of GOSE outcome at 3 and 12 months and mortality following sTBI in adults. The metabolic phenotypes on day 4 post-injury were more predictive and significant for predicting the sTBI outcome compared to the day 1 sample. This may reflect the larger contribution of secondary brain injury (day 4) to sTBI outcome. Patients with unfavorable outcomes demonstrated more metabolite changes from day 1 to day 4 post-injury. These findings highlighted increased concentration of neurobiomarkers such as N-acetylaspartate (NAA) and tyrosine, decreased concentrations of ketone bodies, and decreased urea cycle metabolites on day 4 presenting potential metabolites to predict the outcome. The current findings strongly support the use of serum metabolomics, that are shown to be better than clinical data, in determining prognosis in adults with sTBI in the early days post-injury. Our findings, however, require validation in a larger cohort of adults with sTBI to be used for clinical practice.

Indexed as

Brain Injuries, TraumaticTandem Mass SpectrometryCanadaChromatography, LiquidGlasgow Outcome ScaleHumansLactic AcidMetabolomicsLactic AcidMetabolomicsOutcome predictionPrediction modellingSevere TBI

Identifiers

PMID37481590
PMCPMC10363297
OpenAlexW4385073587

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.