Evidence map›Paper›PMID 28725550›Full record

ArticleNeuroImage. Clinical2017

DTI measures identify mild and moderate TBI cases among patients with complex health problems: A receiver operating characteristic analysis of U.S. veterans.

Keith L Main, Salil Soman, Franco Pestilli, Ansgar Furst, Art Noda, Beatriz Hernandez, Jennifer Kong, Jauhtai Cheng, Jennifer K Fairchild, Joy Taylor and 4 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 39 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

14 authors at 4 institutions in 1 country.

Keith L MainWar Related Illness and Injury Study Center, Veterans Affairs, Palo Alto Health Care System (VAPAHCS), Palo Alto, CA, United States.
Salil SomanWar Related Illness and Injury Study Center, Veterans Affairs, Palo Alto Health Care System (VAPAHCS), Palo Alto, CA, United States.
Franco PestilliDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States.
Ansgar FurstWar Related Illness and Injury Study Center, Veterans Affairs, Palo Alto Health Care System (VAPAHCS), Palo Alto, CA, United States.
Art NodaDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Beatriz HernandezDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Jennifer KongWar Related Illness and Injury Study Center, Veterans Affairs, Palo Alto Health Care System (VAPAHCS), Palo Alto, CA, United States.
Jauhtai ChengWar Related Illness and Injury Study Center, Veterans Affairs, Palo Alto Health Care System (VAPAHCS), Palo Alto, CA, United States.
Jennifer K FairchildDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Joy TaylorDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Jerome YesavageWar Related Illness and Injury Study Center, Veterans Affairs, Palo Alto Health Care System (VAPAHCS), Palo Alto, CA, United States.
J Wesson AshfordWar Related Illness and Injury Study Center, Veterans Affairs, Palo Alto Health Care System (VAPAHCS), Palo Alto, CA, United States.
Helena KraemerDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Maheen M AdamsonDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States.
Stanford University · USVA Palo Alto Health Care System · USGeneral Dynamics (United States) · USIndiana University Bloomington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Standard MRI methods are often inadequate for identifying mild traumatic brain injury (TBI). Advances in diffusion tensor imaging now provide potential biomarkers of TBI among white matter fascicles (tracts). However, it is still unclear which tracts are most pertinent to TBI diagnosis. This study ranked fiber tracts on their ability to discriminate patients with and without TBI. We acquired diffusion tensor imaging data from military veterans admitted to a polytrauma clinic (Overall

Indexed as

Diffusion Tensor ImagingROC CurveAdultAnisotropyBrain InjuriesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysTrauma Severity IndicesUnited StatesVeteransAD, axial diffusivityAxon degenerationCC, corpus callosumConcussionDAI, diffuse axonal injuryDTI, diffusion tensor imagingFA, fractional anisotropyGN, genuImagingLAT, left anterior thalamic tractLCG, left cingulumLCH, left cingulum – hippocampusLCS, left cortico-spinal tractLIF, left inferior fronto-occipital fasciculusLIL, left inferior longitudinal fasciculusLSL, left superior longitudinal fasciculusLST, left superior longitudinal fasciculus – temporalLUN, left uncinateMD, mean diffusivityNeurodegenerationPTSD, post-traumatic stress disorderRAT, right anterior thalamic tractRCG, right cingulumRCH, right cingulum – HippocampusRCS, right cortico-spinal tractRD, radial diffusivityRIF, right inferior fronto-occipital fasciculusRIL, right inferior longitudinal fasciculusROC, receiver operating characteristicRSL, right superior longitudinal fasciculusRST, right superior longitudinal fasciculus – temporalRUN, right uncinateSP, spleniumTBI, traumatic brain injuryTraumatic brain injury

Identifiers

PMID28725550
PMCPMC5503837
OpenAlexW2630362060

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.