Evidence map›Paper›PMID 24395013›Full record

ArticleAnnals of biomedical engineering2014

Experimental and computational approach investigating burst fracture augmentation using PMMA and calcium phosphate cements.

Sami M Tarsuslugil, Rochelle M O'Hara, Nicholas J Dunne, Fraser J Buchanan, John F Orr, David C Barton, Ruth K Wilcox

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

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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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Examination of an in vitro methodology to evaluate the biomechanical performance of nucleus augmentation in axial compression.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2018
    Article
  7. Article
  8. Computational modelling of bone augmentation in the spine.Journal of orthopaedic translation · 2015
    Review
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

7 authors.

Sami M TarsuslugilSchool of Mechanical Engineering, University of Leeds, Leeds, LS2 9JT, UK, s.tarsuslugil@leeds.ac.uk.
Rochelle M O'Hara
Nicholas J Dunne
Fraser J Buchanan
John F Orr
David C Barton
Ruth K Wilcox

Funding

Wellcome Trust
6 · The paper itself

Abstract

The aim of the study was to use a computational and experimental approach to evaluate, compare and predict the ability of calcium phosphate (CaP) and poly (methyl methacrylate) (PMMA) augmentation cements to restore mechanical stability to traumatically fractured vertebrae, following a vertebroplasty procedure. Traumatic fractures (n = 17) were generated in a series of porcine vertebrae using a drop-weight method. The fractured vertebrae were imaged using μCT and tested under axial compression. Twelve of the fractured vertebrae were randomly selected to undergo a vertebroplasty procedure using either a PMMA (n = 6) or a CaP cement variation (n = 6). The specimens were imaged using μCT and re-tested. Finite element models of the fractured and augmented vertebrae were generated from the μCT data and used to compare the effect of fracture void fill with augmented specimen stiffness. Significant increases (p < 0.05) in failure load were found for both of the augmented specimen groups compared to the fractured group. The experimental and computational results indicated that neither the CaP cement nor PMMA cement could completely restore the vertebral mechanical behavior to the intact level. The effectiveness of the procedure appeared to be more influenced by the volume of fracture filled rather than by the mechanical properties of the cement itself.

Indexed as

Bone CementsCalcium PhosphatesPolymethyl MethacrylateVertebroplastyAnimalsBiomechanical PhenomenaFinite Element AnalysisSpinal FracturesSpineSwineX-Ray MicrotomographyBone Cementscalcium phosphateCalcium PhosphatesPolymethyl Methacrylate

Identifiers

PMID24395013
PMCPMC3949010

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Registered trials

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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.