Evidence map›Paper›PMID 37512485›Full record

ArticleMetabolites2023

White Matter Metabolite Ratios Predict Cognitive Outcome in Pediatric Traumatic Brain Injury.

Luke Berger, Barbara Holshouser, Joy G Nichols, Jamie Pivonka-Jones, Stephen Ashwal, Brenda Bartnik-Olson

Abstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Cognitive disengagement syndrome and peer relationships of youth with critical congenital heart defects.Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence · 2025
    Article
  2. Article
  3. 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

6 authors.

Luke BergerSchool of Medicine, Loma Linda University, Loma Linda, CA 92354, USA.
Barbara HolshouserDepartment of Radiology, Loma Linda University Health, Loma Linda, CA 92354, USA.
Joy G NicholsDepartment of Pediatrics, Loma Linda University Health, Loma Linda, CA 92354, USA.
Jamie Pivonka-JonesDepartment of Pediatrics, Loma Linda University Health, Loma Linda, CA 92354, USA.
Stephen AshwalDepartment of Pediatrics, Loma Linda University Health, Loma Linda, CA 92354, USA.
Brenda Bartnik-OlsonDepartment of Radiology, Loma Linda University Health, Loma Linda, CA 92354, USA.

Funding

NINDS NIH HHS 5R01NS05400
6 · The paper itself

Abstract

The prognostic ability of global white matter and gray matter metabolite ratios following pediatric traumatic brain injury (TBI) and their relationship to 12-month neuropsychological assessments of intelligence quotient (IQ), attention, and memory is presented. Three-dimensional proton magnetic resonance spectroscopic imaging (MRSI) in pediatric subjects with complicated mild (cMild), moderate, and severe TBI was acquired acutely (6-18 days) and 12 months post-injury and compared to age-matched typically developing adolescents. A global linear regression model, co-registering MRSI metabolite maps with 3D high-resolution magnetic resonance images, was used to identify longitudinal white matter and gray matter metabolite ratio changes. Acutely, gray matter NAA/Cr, white matter NAA/Cr, and white matter NAA/Cho ratios were significantly lower in TBI groups compared to controls. Gray matter NAA/Cho was reduced only in the severe TBI group. At 12 months, all metabolite ratios normalized to control levels in each of the TBI groups. Acute gray matter and white matter NAA ratios were significantly correlated to 12-month assessments of IQ, attention, and memory. These findings suggest that whole brain gray matter and white matter metabolite ratios reflect longitudinal changes in neuronal metabolism following TBI, which can be used to predict neuropsychological outcomes in pediatric subjects.

Indexed as

global linear regressionmagnetic resonance spectroscopypediatrictissue segmentationtraumatic brain injury

Identifiers

PMID37512485
PMCPMC10385309

What OpenQuestion holds

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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.