Evidence map›Paper›PMID 38401164›Full record

Observational studyMilitary medicine2024

Persistent MRI Findings Unique to Blast and Repetitive Mild TBI: Analysis of the CENC/LIMBIC Cohort Injury Characteristics.

David F Tate, Benjamin S C Wade, Carmen S Velez, Erin D Bigler, Nicholas D Davenport, Emily L Dennis, Carrie Esopenko, Sidney R Hinds, Jacob Kean, Eamonn Kennedy and 12 more

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Military medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

22 authors at 12 institutions in 1 country.

David F TateDepartment of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA.ORCID 0000-0003-0213-1920
Benjamin S C WadeDepartment of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA.
Carmen S VelezDepartment of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA.
Erin D BiglerDepartment of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA.
Nicholas D DavenportMinneapolis Veterans Affairs Health Care System, Minneapolis, MN 55417, USA.
Emily L DennisDepartment of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA.
Carrie EsopenkoDepartment of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Sidney R HindsDepartment of Neurology, Uniformed Services University, Bethesda, MD 20814, USA.
Jacob KeanGeorge E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT 84148, USA.
Eamonn KennedyDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT 84108, USA.
Kimbra KenneyDepartment of Neurology, Uniformed Services University, Bethesda, MD 20814, USA.
Andrew R MayerThe Mind Research Network, University of New Mexico Health Science Center, Albuquerque, NM 87106, USA.
Mary R NewsomeMichael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA.
Carissa L PhilippiDepartment of Psychological Sciences, University of Missouri-St. Louis, St. Louis, MO 63121, St. Louis.
Mary J PughGeorge E. Wahlen VA Salt Lake City Healthcare System, Salt Lake City, UT 84148, USA.
Randall S ScheibelMichael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA.
Brian A TaylorDepartment of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.
Maya TroyanskayaMichael E. DeBakey Veterans Affairs Medical Center, Houston, TX 77030, USA.
John K WernerDepartment of Neurology, Uniformed Services University, Bethesda, MD 20814, USA.
Gerald E YorkImaging Associates of Alaska, Anchorage, AK 99508, USA.
William WalkerDepartment of Physical Medicine and Rehabilitation, Virginia Commonwealth University, Richmond, VA 23298, USA.
Elisabeth A WildeDepartment of Neurology, Traumatic Brain Injury and Concussion Center, University of Utah, Salt Lake City, UT 84132, USA.
University of Utah · USMichael E. DeBakey VA Medical Center · USUniformed Services University of the Health Sciences · USBrigham Young University · USAnchorage Associates in Radiation Medicine · USHarvard University · USIcahn School of Medicine at Mount Sinai · USMind Research Network · USThe University of Texas MD Anderson Cancer Center · USUniversity of Minnesota · USUniversity of Missouri–St. Louis · USVirginia Commonwealth University · US

Funding

Data-Driven Models of Symptom Heterogeneity to Empower Transdiagnostic Multimodal Biomarker Discovery in Mood DisordersR00MH119314 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI WADE, BENJAMIN SEAVEY CUTLER · 2022 to 2024
$668k
VA-DoD Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC): Epidemiology StudyI01CX002096 · VA · VETERANS AFFAIRS MED CTR SAN FRANCISCO · PI Kristine Yaffe · 2020 to 2026
–
VA-DoD Long-Term Impact of Military-Relevant Brain Injury Consortium (LIMBIC)I01CX002097 · VA · VA VETERANS ADMINISTRATION HOSPITAL · PI DAVID X. CIFU, Rudolph c Johnson · 2021 to 2026
–
CSRD VA I01 CX002096CSRD VA I01 CX002097HSRD VA IK6 HX003762NIMH NIH HHS R00 MH119314U.S. Department of Defense W81XWH-13-2-0095U.S. Department of Defense W81XWH1920067
6 · The paper itself

Abstract

introductionMRI represents one of the clinical tools at the forefront of research efforts aimed at identifying diagnostic and prognostic biomarkers following traumatic brain injury (TBI). Both volumetric and diffusion MRI findings in mild TBI (mTBI) are mixed, making the findings difficult to interpret. As such, additional research is needed to continue to elucidate the relationship between the clinical features of mTBI and quantitative MRI measurements. MATERIAL AND

methodsVolumetric and diffusion imaging data in a sample of 976 veterans and service members from the Chronic Effects of Neurotrauma Consortium and now the Long-Term Impact of Military-Relevant Brain Injury Consortium observational study of the late effects of mTBI in combat with and without a history of mTBI were examined. A series of regression models with link functions appropriate for the model outcome were used to evaluate the relationships among imaging measures and clinical features of mTBI. Each model included acquisition site, participant sex, and age as covariates. Separate regression models were fit for each region of interest where said region was a predictor.

resultsAfter controlling for multiple comparisons, no significant main effect was noted for comparisons between veterans and service members with and without a history of mTBI. However, blast-related mTBI were associated with volumetric reductions of several subregions of the corpus callosum compared to non-blast-related mTBI. Several volumetric (i.e., hippocampal subfields, etc.) and diffusion (i.e., corona radiata, superior longitudinal fasciculus, etc.) MRI findings were noted to be associated with an increased number of repetitive mTBIs versus.

conclusionsIn deployment-related mTBI, significant findings in this cohort were only observed when considering mTBI sub-groups (blast mechanism and total number/dose). Simply comparing healthy controls and those with a positive mTBI history is likely an oversimplification that may lead to non-significant findings, even in consortium analyses.

Indexed as

Brain ConcussionMagnetic Resonance ImagingAdultBlast InjuriesCohort StudiesFemaleHumansMaleMiddle AgedVeterans

Identifiers

PMID38401164
PMCPMC11363162
OpenAlexW4392146868

What Socratic holds

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LicenceCC BY
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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 Socratic graph.