Evidence map›Paper›PMID 35994166›Full record

ReviewAnnals of biomedical engineering2022

Defining Experimental Variability in Actuator-Driven Closed Head Impact in Rats.

Caiti-Erin Talty, Carly Norris, Pamela VandeVord

Abstract readReview
PubMed Publisher
In one paragraph

Review in Annals of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Caiti-Erin Talty *Graduate Program in Translational Biology, Medicine and Health, Virginia Tech, Blacksburg, VA, USA.
Carly Norris *School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA, USA.
Pamela VandeVordDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, USA. pvord@vt.edu.ORCID http://orcid.org/0000-0003-3422-2704
Virginia Tech · USVeterans Health Administration · US

Funding

BLRD VA I01 BX004529
6 · The paper itself

Abstract

Traumatic brain injury (TBI) is a world-wide health challenge that lacks tools for diagnosis and treatment. There is a need for translational preclinical models to effectively design clinical tools, however, the diversity of models is a barrier to reproducible studies. Actuator-driven closed head impact (AD-CHI) models have translational advantages in replicating the pathophysiological and behavioral outcomes resulting from impact TBI. The main advantages of AD-CHI protocols include versatility of impact parameters such as impact angle, velocity, depth, and dwell time with the ability to interchange tip types, leading to consistent outcomes without the need for craniectomy. Sources of experimental variability within AD-CHI rat models are identified within this review with the aim of supporting further characterization to improve translational value. Primary areas of variability may be attributed to lack of standardization of head stabilization methods, reporting of tip properties, and performance of acute neurological assessments. AD-CHI models were also found to be more prevalently used among pediatric and repeated TBI paradigms. As this model continues to grow in use, establishing the relationships between impact parameters and associated injury outcomes will reduce experimental variability between research groups and encourage meaningful discussions as the community moves towards common data elements.

Indexed as

Brain Injuries, TraumaticAnimalsDisease Models, AnimalHumansRatsConcussionMethodsPreclinicalTraumatic brain injuryValidation

Identifiers

PMID35994166
OpenAlexW4292622639

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.