Evidence map›Paper›PMID 30114229›Full record

ArticlePloS one2018

Determinants of bone damage: An ex-vivo study on porcine vertebrae.

Mohammad J Mirzaali, Flavia Libonati, Davide Ferrario, Luca Rinaudo, Carmelo Messina, Fabio M Ulivieri, Bruno M Cesana, Matteo Strano, Laura Vergani

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
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  5. 3D-Printed Architected Materials Inspired by Cubic Bravais Lattices.ACS biomaterials science & engineering · 2023
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  11. 2D and 3D numerical models to evaluate trabecular bone damage.Medical & biological engineering & computing · 2021
    Article
  12. Analysis of Bone Strength and Bone Turnover Markers in Ankylosing Spondylitis with Radiological Hip Involvement.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  13. Review
  14. Prediction of osteoporotic fragility re-fracture with lumbar spine DXA-based derived bone strain index: a multicenter validation study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Article
  15. Review
  16. 3-D X-Ray-Induced Acoustic Computed Tomography With a Spherical Array: A Simulation Study on Bone Imaging.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2020
    Article
  17. Article
  18. 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 4 institutions in 2 countries.

Mohammad J MirzaaliDepartment of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Flavia LibonatiDepartment of Mechanical Engineering, Politecnico di Milano, Milan, Italy.ORCID 0000-0001-6490-1922
Davide FerrarioDepartment of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Luca RinaudoTECHNOLOGIC S.r.l. Hologic Italia, Torino, Italy.
Carmelo MessinaIstituto Ortopedico Galeazzi IRCCS, Radiodiagnostic Unit, Milan, Italy.
Fabio M UlivieriFondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Nuclear Medicine-Bone Metabolic Unit, Milan, Italy.ORCID 0000-0003-1357-3425
Bruno M CesanaDepartment of Clinical Sciences and Community Health, Unit of Medical Statistics, Biometry and Bioinformatics "Giulio A. Maccacaro", Faculty of Medicine and Surgery, University of Milan, Milan, Italy.
Matteo StranoDepartment of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Laura VerganiDepartment of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Politecnico di Milano · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITIstituto Ortopedico Galeazzi · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone's resistance to fracture depends on several factors, such as bone mass, microarchitecture, and tissue material properties. The clinical assessment of bone strength is generally performed by Dual-X Ray Photon Absorptiometry (DXA), measuring bone mineral density (BMD) and trabecular bone score (TBS). Although it is considered the major predictor of bone strength, BMD only accounts for about 70% of fragility fractures, while the remaining 30% could be described by bone "quality" impairment parameters, mainly related to tissue microarchitecture. The assessment of bone microarchitecture generally requires more invasive techniques, which are not applicable in routine clinical practice, or X-Ray based imaging techniques, requiring a longer post-processing. Another important aspect is the presence of local damage in the bony tissue that may also affect the prediction of bone strength and fracture risk. To provide a more comprehensive analysis of bone quality and quantity, and to assess the effect of damage, here we adopt a framework that includes clinical, morphological, and mechanical analyses, carried out by means of DXA, μCT and mechanical compressive testing, respectively. This study has been carried out on trabecular bones, taken from porcine trabecular vertebrae, for the similarity with human lumbar spine. This study confirms that no single method can provide a complete characterization of bone tissue, and the combination of complementary characterization techniques is required for an accurate and exhaustive description of bone status. BMD and TBS have shown to be complementary parameters to assess bone strength, the former assessing the bone quantity and resistance to damage, and the latter the bone quality and the presence of damage accumulation without being able to predict the risk of fracture.

Indexed as

Absorptiometry, PhotonAnimalsBone DensityCompressive StrengthDisease Models, AnimalHumansIn Vitro TechniquesLumbar VertebraeStress, MechanicalSus scrofaX-Ray Microtomography

Identifiers

PMID30114229
PMCPMC6095531
OpenAlexW2886243160

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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.