Evidence map›Paper›PMID 31287716›Full record

ReviewThe British journal of radiology2019

Emerging advances of in vivo detection of chronic traumatic encephalopathy and traumatic brain injury.

Julian D Dallmeier, Somayeh Meysami, David A Merrill, Cyrus A Raji

Open access · greenAbstract readReview
In one paragraph

Review in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.9field-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

6 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Review
  3. Hybrid PET/MRI in Neurodegenerative Disorders.Advances in clinical radiology · 2024
    Article
  4. Review
  5. Review
  6. 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

4 authors at 4 institutions in 2 countries.

Julian D Dallmeier1Department of Neuroscience, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Somayeh Meysami2Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
David A Merrill3Psychiatry and Biobehavioral Sciences and Pacific Brain Health Center, UCLA and Pacific Neuroscience Institute, Los Angeles, California, United States.
Cyrus A Raji4Radiology, Washington University Mallinckrodt Institute of Radiology, St. Louis, Missouri, United States.
Mallinckrodt (United States) · USNeurobehavioral Systems · USUniversidad de Navarra · ESUniversity of California, Los Angeles · US

Funding

Washington University Institute of Clinical and Translational Sciences (KL2) KL2TR002346 · NCATS · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 2017 to 2026
$14.0M
NCATS NIH HHS KL2 TR002346
6 · The paper itself

Abstract

Chronic traumatic encephalopathy (CTE) is a neurodegenerative disorder that is of epidemic proportions in contact sports athletes and is linked to subconcussive and concussive repetitive head impacts (RHI). Although postmortem analysis is currently the only confirmatory method to diagnose CTE, there has been progress in early detection techniques of fluid biomarkers as well as in advanced neuroimaging techniques. Specifically, promising new methods of diffusion MRI and radionucleotide PET scans could aid in the early detection of CTE.The authors examine early detection methods focusing on various neuroimaging techniques. Advances in structural and diffusion MRI have demonstrated the ability to measure volumetric and white matter abnormalities associated with CTE. Recent studies using radionucleotides such as flortaucipir and

Indexed as

BrainBrain Injuries, TraumaticChronic Traumatic EncephalopathyDiagnostic ImagingHumansNeuroimaging

Identifiers

PMID31287716
PMCPMC6732918
OpenAlexW2956830013

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.