Evidence map›Paper›PMID 33123828›Full record

ArticleAnnals of biomedical engineering2021

Multimodal Loading Environment Predicts Bioresorbable Vascular Scaffolds' Durability.

Pei-Jiang Wang, Francesca Berti, Luca Antonini, Farhad Rikhtegar Nezami, Lorenza Petrini, Francesco Migliavacca, Elazer R Edelman

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2021. 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
–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

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.

  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

7 authors.

Pei-Jiang Wang *Institute for Medical Engineering & Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building E25-442, Cambridge, MA, 02139, USA. wpj@bu.edu.ORCID http://orcid.org/0000-0003-2021-9192
Francesca BertiInstitute for Medical Engineering & Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building E25-442, Cambridge, MA, 02139, USA.
Luca Antonini *Laboratory of Biological Structure Mechanics, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Milan, Italy.
Farhad Rikhtegar NezamiInstitute for Medical Engineering & Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building E25-442, Cambridge, MA, 02139, USA.
Lorenza PetriniDepartment of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy.
Francesco MigliavaccaInstitute for Medical Engineering & Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building E25-442, Cambridge, MA, 02139, USA.
Elazer R EdelmanInstitute for Medical Engineering & Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Building E25-442, Cambridge, MA, 02139, USA.

Funding

Vascular Drug Delivery - Supplement for EquipmentR01GM049039 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EDELMAN, ELAZER R · 1994 to 2019
$8.9M
NIGMS NIH HHS R01 GM049039NIH HHS R01 49039
6 · The paper itself

Abstract

Bioresorbable vascular scaffolds were considered the fourth generation of endovascular implants deemed to revolutionize cardiovascular interventions. Yet, unexpected high risk of scaffold thrombosis and post-procedural myocardial infractions quenched the early enthusiasm and highlighted the gap between benchtop predictions and clinical observations. To better understand scaffold behavior in the mechanical environment of vessels, animal, and benchtop tests with multimodal loading environment were conducted using industrial standard scaffolds. Finite element analysis was also performed to study the relationship among structural failure, scaffold design, and load types. We identified that applying the combination of bending, axial compression, and torsion better reflects incidence observed in-vivo, far more than tranditional single mode loads. Predication of fracture locations is also more accurate when at least bending and axial compression are applied during benchtop tests (>60% fractures at connected peak). These structural failures may be initiated by implantation-induced microstructural damages and worsened by cyclic loads from the beating heart. Ignoring the multi-modal loading environment in benchtop fatigue tests and computational platforms can lead to undetected potential design defects, calling for redefining consensus evaluation strategies for scaffold performance. With the robust evaluation strategy presented herein, which exploits the results of in-vivo, in-vitro and in-silico investigations, we may be able to compare alternative designs of prototypes at the early stages of device development and optimize the performance of endovascular implants according to patients-specific vessel dynamics and lesion configurations in the future.

Indexed as

Absorbable ImplantsTissue ScaffoldsAnimalsCoronary VesselsFemaleFinite Element AnalysisMalePolyestersStress, MechanicalSwinePolyesterspoly(lactide)Animal studyCoronary stents/scaffoldsDesign optimizationFinite elementPatient-specificPolylactic acidPolymer mechanicsScaffold fracture

Identifiers

PMID33123828
PMCPMC8366274

What OpenQuestion holds

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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.