Evidence map›Paper›PMID 31896466›Full record

ArticleNeuroImage. Clinical2020

Post-acute white matter microstructure predicts post-acute and chronic post-concussive symptom severity following mild traumatic brain injury in children.

Ashley L Ware, Ayushi Shukla, Naomi J Goodrich-Hunsaker, Catherine Lebel, Elisabeth A Wilde, Tracy J Abildskov, Erin D Bigler, Daniel M Cohen, Leslie K Mihalov, Ann Bacevice and 3 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
2.7field-weighted citation impact, top 9% 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, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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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 at 5 institutions in 2 countries.

Ashley L WareDepartment of Psychology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada. Electronic address: Ashley.ware@ucalgary.ca.
Ayushi ShuklaHotchkiss Brain Institute, University of Calgary, Canada; Department of Radiology, University of Calgary, Canada.
Naomi J Goodrich-HunsakerDepartment of Neurology, University of Utah, USA; Department of Psychology, Brigham Young University, USA.
Catherine LebelHotchkiss Brain Institute, University of Calgary, Canada; Department of Radiology, University of Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada.
Elisabeth A WildeDepartment of Neurology, University of Utah, USA.
Tracy J AbildskovDepartment of Neurology, University of Utah, USA.
Erin D BiglerDepartment of Neurology, University of Utah, USA; Department of Psychology, Brigham Young University, USA.
Daniel M CohenAbigail Wexner Research Institute at Nationwide Children's Hospital, USA; Department of Pediatrics, The Ohio State University, USA.
Leslie K MihalovAbigail Wexner Research Institute at Nationwide Children's Hospital, USA; Department of Pediatrics, The Ohio State University, USA.
Ann BaceviceDepartment of Pediatrics, Case Western Reserve University, USA.
Barbara A BangertDepartment of Pediatrics, Case Western Reserve University, USA.
H Gerry TaylorAbigail Wexner Research Institute at Nationwide Children's Hospital, USA.
Keith O YeatesDepartment of Psychology, University of Calgary, Canada; Hotchkiss Brain Institute, University of Calgary, Canada; Alberta Children's Hospital Research Institute, University of Calgary, Canada.
University of Calgary · CANationwide Children's Hospital · USBrigham Young University · USCase Western Reserve University · USUniversity of Utah · US

Funding

Predicting Outcomes in Children with Mild Traumatic Brain InjuryR01HD076885 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI YEATES, KEITH O · 2013 to 2018
$3.0M
NICHD NIH HHS R01 HD076885
6 · The paper itself

Abstract

introductionMild traumatic brain injury (TBI) is a global public health concern that affects millions of children annually. Mild TBI tends to result in subtle and diffuse alterations in brain tissue, which challenges accurate clinical detection and prognostication. Diffusion tensor imaging (DTI) holds promise as a diagnostic and prognostic tool, but little research has examined DTI in post-acute mild TBI. The current study compared post-acute white matter microstructure in children with mild TBI versus those with mild orthopedic injury (OI), and examined whether post-acute DTI metrics can predict post-acute and chronic post-concussive symptoms (PCS). MATERIALS AND

methodsChildren aged 8-16.99 years with mild TBI (n = 132) or OI (n = 69) were recruited at emergency department visits to two children's hospitals, during which parents rated children's pre-injury symptoms retrospectively. Children completed a post-acute (<2 weeks post-injury) assessment, which included a 3T MRI, and 3- and 6-month post-injury assessments. Parents and children rated PCS at each assessment. Mean diffusivity (MD) and fractional anisotropy (FA) were derived from diffusion-weighted MRI using Automatic Fiber Quantification software. Multiple multivariable linear and negative binomial regression models were used to test study aims, with False Discovery Rate (FDR) correction for multiple comparisons.

resultsNo significant group differences were found in any of the 20 white matter tracts after FDR correction. DTI metrics varied by age and sex, and site was a significant covariate. No interactions involving group, age, and sex were significant. DTI metrics in several tracts robustly predicted PCS ratings at 3- and 6-months post-injury, but only corpus callosum genu MD was significantly associated with post-acute PCS after FDR correction. Significant group by DTI metric interactions on chronic PCS ratings indicated that left cingulum hippocampus and thalamic radiation MD was positively associated with 3-month PCS in the OI group, but not in the mild TBI group.

conclusionsPost-acute white matter microstructure did not differ for children with mild TBI versus OI after correcting for multiple comparisons, but was predictive of post-acute and chronic PCS in both injury groups. These findings support the potential prognostic utility of this advanced DTI technique.

Indexed as

Diffusion Tensor ImagingAdolescentChildChronic DiseaseCorpus CallosumFemaleFollow-Up StudiesHumansMalePost-Concussion SyndromeSeverity of Illness IndexWhite MatterConcussionDiffusion tensor imagingMild traumatic brain injuryPediatric traumatic brain injury

Identifiers

PMID31896466
PMCPMC6940617
OpenAlexW2995534616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.