Evidence map›Paper›PMID 34177763›Full record

ArticleFrontiers in neurology2021

Reproducibility and Characterization of Head Kinematics During a Large Animal Acceleration Model of Traumatic Brain Injury.

Andrew R Mayer, Josef M Ling, Andrew B Dodd, Julie G Rannou-Latella, David D Stephenson, Rebecca J Dodd, Carissa J Mehos, Declan A Patton, D Kacy Cullen, Victoria E Johnson and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 18 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

17 authors at 7 institutions in 1 country.

Andrew R MayerThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Josef M LingThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Andrew B DoddThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Julie G Rannou-LatellaThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
David D StephensonThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Rebecca J DoddThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Carissa J MehosNeurosciences Department, University of New Mexico School of Medicine, Albuquerque, NM, United States.
Declan A PattonCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
D Kacy CullenDepartment of Neurosurgery and Penn Center for Brain Injury and Repair, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Victoria E JohnsonDepartment of Neurosurgery and Penn Center for Brain Injury and Repair, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Sharvani Pabbathi ReddyThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Cidney R Robertson-BentaThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Andrew P GigliottiThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Timothy B MeierDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States.
Meghan S VermillionThe Mind Research Network/Lovelace Biomedical Research Institute, Albuquerque, NM, United States.
Douglas H SmithDepartment of Neurosurgery and Penn Center for Brain Injury and Repair, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Rachel KinslerEnroute Care Group, U.S. Army Aeromedical Research Laboratory, Fort Rucker, AL, United States.
Mind Research Network · USBiomedical Research Institute · USUniversity of Pennsylvania · USChildren's Hospital of Philadelphia · USMedical College of Wisconsin · USUnited States Army Aeromedical Research Lab · USUniversity of New Mexico · US

Funding

University of New Mexico (UNM) Center for Brain Recovery and RepairP20GM109089 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI SHUTTLEWORTH, CLAUDE W · 2015 to 2024
$22.7M
Detection and Mechanisms of Mild Traumatic Brain InjuryR01NS092398 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SMITH, DOUGLAS HAMILTON · 2015 to 2019
$1.9M
NIGMS NIH HHS P20 GM109089NINDS NIH HHS R01 NS092398
6 · The paper itself

Abstract

Acceleration parameters have been utilized for the last six decades to investigate pathology in both human and animal models of traumatic brain injury (TBI), design safety equipment, and develop injury thresholds. Previous large animal models have quantified acceleration from impulsive loading forces (i.e., machine/object kinematics) rather than directly measuring head kinematics. No study has evaluated the reproducibility of head kinematics in large animal models. Nine (five males) sexually mature Yucatan swine were exposed to head rotation at a targeted peak angular velocity of 250 rad/s in the coronal plane. The results indicated that the measured peak angular velocity of the skull was 51% of the impulsive load, was experienced over 91% longer duration, and was multi- rather than uni-planar. These findings were replicated in a second experiment with a smaller cohort (

Indexed as

diffuse axonal injuriesdynamic accelerationhead kinematicslarge animal modelsensorstraumatic brain injury

Identifiers

PMID34177763
PMCPMC8219951
OpenAlexW3172034874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.