Evidence map›Paper›PMID 30351247›Full record

ArticleJournal of neurotrauma2019

Longitudinal Metabolite Changes after Traumatic Brain Injury: A Prospective Pediatric Magnetic Resonance Spectroscopic Imaging Study.

Barbara Holshouser, Jamie Pivonka-Jones, Joy G Nichols, Udo Oyoyo, Karen Tong, Nirmalya Ghosh, Stephen Ashwal

Abstract read
In one paragraph

Article in Journal of neurotrauma, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
2.4field-weighted citation impact, top 11% 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, 4 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Frontiers in immunology · 2023
    Article
  14. Article
  15. Article
  16. Observational
  17. Review
  18. Review
  19. Article
  20. Review
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 1 institution in 1 country.

Barbara Holshouser1 Department of Radiology, Loma Linda University School of Medicine, Loma Linda, California.
Jamie Pivonka-Jones2 Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California.
Joy G Nichols2 Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California.
Udo Oyoyo1 Department of Radiology, Loma Linda University School of Medicine, Loma Linda, California.
Karen Tong1 Department of Radiology, Loma Linda University School of Medicine, Loma Linda, California.
Nirmalya Ghosh2 Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California.
Stephen Ashwal2 Department of Pediatrics, Loma Linda University School of Medicine, Loma Linda, California.
Loma Linda University · US

Funding

Pediatric TBI and DAI: Normal Appearing Brain is Not NormalR01NS054001 · NINDS · LOMA LINDA UNIVERSITY · PI ASHWAL, STEPHEN · 2006 to 2011
$2.4M
NINDS NIH HHS R01 NS054001
6 · The paper itself

Abstract

The aims of this study were to evaluate longitudinal metabolite changes in traumatic brain injury (TBI) subjects and determine whether early magnetic resonance spectroscopic imaging (MRSI) changes in discrete brain regions predict 1-year neuropsychological outcomes. Three-dimensional (3D) proton MRSI was performed in pediatric subjects with complicated mild (cMild), moderate, and severe injury, acutely (6-17 days) and 1-year post-injury along with neurological and cognitive testing. Longitudinal analysis found that in the cMild/Moderate group, all MRSI ratios from 12 regions returned to control levels at 1 year. In the severe group, only cortical gray matter regions fully recovered to control levels whereas N-acetylaspartate (NAA) ratios from the hemispheric white matter and subcortical regions remained statistically different from controls. A factor analysis reduced the data to two loading factors that significantly differentiated between TBI groups; one included acute regional NAA variables and another consisted of clinically observed variables (e.g., days in coma). Using scores calculated from the two loading factors in a logistic regression model, we found that the percent accuracy for classification of TBI groups was greatest for the dichotomized attention measure (93%), followed by Full Scale Intelligence Quotient at 91%, and the combined memory Z-score measure (90%). Using the acute basal ganglia NAA/creatine (Cr) ratio alone achieved a higher percent accuracy of 94.7% for the attention measure whereas the acute thalamic NAA/Cr ratio alone achieved a higher percent accuracy of 91.9% for the memory measure. These results support the conclusions that reduced NAA is an early indicator of tissue injury and that measurements from subcortical brain regions are more predictive of long-term cognitive outcome.

Indexed as

Recovery of FunctionAdolescentAspartic AcidBrainBrain Injuries, TraumaticChildChild, PreschoolCreatineFemaleHumansLongitudinal StudiesMagnetic Resonance SpectroscopyMaleAspartic AcidCreatineN-acetylaspartatefactor analysismagnetic resonance spectroscopyoutcomespediatrictraumatic brain injury

Identifiers

PMID30351247
PMCPMC6479249
OpenAlexW2912293601

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.