Evidence map›Paper›PMID 31151177›Full record

ArticleBioengineering (Basel, Switzerland)2019

Mechanical Response of Porcine Liver Tissue under High Strain Rate Compression.

Joseph Chen, Sourav S Patnaik, R K Prabhu, Lauren B Priddy, Jean-Luc Bouvard, Esteban Marin, Mark F Horstemeyer, Jun Liao, Lakiesha N Williams

Open access · goldAbstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2019. 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
0.7field-weighted citation impact, top 34% 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, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Introduction to the Special Issue onBioengineering (Basel, Switzerland) · 2020
    Article
  4. 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

9 authors at 3 institutions in 1 country.

Joseph ChenDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. chen.joseph@berkeley.edu.
Sourav S PatnaikDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. sourav.patnaik@utsa.edu.ORCID 0000-0001-7457-8604
R K PrabhuDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. rprabhu@abe.msstate.edu.
Lauren B PriddyDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. lbpriddy@abe.msstate.edu.
Jean-Luc BouvardDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. jean-luc.bouvard@mines-paristech.fr.
Esteban MarinDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. marineb@corning.com.
Mark F HorstemeyerDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. marineb@corning.com.
Jun LiaoDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. jun.liao@uta.edu.
Lakiesha N WilliamsDepartment of Biological Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, MS 39762, USA. lwilliams@bme.ufl.edu.
Mississippi State University · USThe University of Texas at Arlington · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In automobile accidents, abdominal injuries are often life-threatening yet not apparent at the time of initial injury. The liver is the most commonly injured abdominal organ from this type of trauma. In contrast to current safety tests involving crash dummies, a more detailed, efficient approach to predict the risk of human injuries is computational modelling and simulations. Further, the development of accurate computational human models requires knowledge of the mechanical properties of tissues in various stress states, especially in high-impact scenarios. In this study, a polymeric split-Hopkinson pressure bar (PSHPB) was utilized to apply various high strain rates to porcine liver tissue to investigate its material behavior during high strain rate compression. Liver tissues were subjected to high strain rate impacts at 350, 550, 1000, and 1550 s

Indexed as

finite element modelinghigh-rate compressionliverpolymeric split-Hopkinson pressure barsoft tissue

Identifiers

PMID31151177
PMCPMC6630843
OpenAlexW2947512875

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.