Evidence map›Paper›PMID 38160642›Full record

ArticleJournal of the mechanical behavior of biomedical materials2024

Development of a multilayer fetal membrane material model calibrated using bulge inflation mechanical tests.

Daniel S Fidalgo, Kayvan Samimi, Michelle L Oyen, Melissa C Skala, Renato M N Jorge, Marco P L Parente, Ewelina Malanowska, Dulce A Oliveira, Kristin M Myers

Abstract read
In one paragraph

Article in Journal of the mechanical behavior of biomedical materials, 2024. 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

9 authors.

Daniel S FidalgoInstitute of Science and Innovation in Mechanical and Industrial Engineering (INEGI), R. Dr. Roberto Frias 400, 4200-465, Porto, Portugal; Mechanical Department (DEMec), Faculty of Engineering of University of Porto (FEUP), Rua Dr. Roberto Frias, 4200-465, Porto, Portugal. Electronic address: dfidalgo@inegi.up.pt.
Kayvan SamimiMorgridge Institute for Research, Madison, WI, USA.
Michelle L OyenDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Melissa C SkalaMorgridge Institute for Research, Madison, WI, USA; Department of Biomedical Engineering, University of Wisconsin, Madison, WI, USA.
Renato M N JorgeInstitute of Science and Innovation in Mechanical and Industrial Engineering (INEGI), R. Dr. Roberto Frias 400, 4200-465, Porto, Portugal; Mechanical Department (DEMec), Faculty of Engineering of University of Porto (FEUP), Rua Dr. Roberto Frias, 4200-465, Porto, Portugal.
Marco P L ParenteInstitute of Science and Innovation in Mechanical and Industrial Engineering (INEGI), R. Dr. Roberto Frias 400, 4200-465, Porto, Portugal; Mechanical Department (DEMec), Faculty of Engineering of University of Porto (FEUP), Rua Dr. Roberto Frias, 4200-465, Porto, Portugal.
Ewelina MalanowskaDepartment of Gynaecology, Endocrinology and Gynaecologic Oncology, Pomeranian Medical University, Szczecin, Poland.
Dulce A OliveiraInstitute of Science and Innovation in Mechanical and Industrial Engineering (INEGI), R. Dr. Roberto Frias 400, 4200-465, Porto, Portugal.
Kristin M MyersDepartment of Mechanical Engineering - Columbia University, New York, NY 10027, USA.

Funding

A Computational Framework for the Clinical Evaluation of the Soft Tissue Mechanics in PregnancyR01HD091153 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MYERS, KRISTIN MARIE · 2017 to 2021
$1.6M
NICHD NIH HHS R01 HD091153
6 · The paper itself

Abstract

The fetal membranes are an essential mechanical structure for pregnancy, protecting the developing fetus in an amniotic fluid environment and rupturing before birth. In cooperation with the cervix and the uterus, the fetal membranes support the mechanical loads of pregnancy. Structurally, the fetal membranes comprise two main layers: the amnion and the chorion. The mechanical characterization of each layer is crucial to understanding how each layer contributes to the structural performance of the whole membrane. The in-vivo mechanical loading of the fetal membranes and the amount of tissue stress generated in each layer throughout gestation remains poorly understood, as it is difficult to perform direct measurements on pregnant patients. Finite element analysis of pregnancy offers a computational method to explore how anatomical and tissue remodeling factors influence the load-sharing of the uterus, cervix, and fetal membranes. To aid in the formulation of such computational models of pregnancy, this work develops a fiber-based multilayer fetal membrane model that captures its response to previously published bulge inflation loading data. First, material models for the amnion, chorion, and maternal decidua are formulated, informed, and validated by published data. Then, the behavior of the fetal membrane as a layered structure was analyzed, focusing on the respective stress distribution and thickness variation in each layer. The layered computational model captures the overall behavior of the fetal membranes, with the amnion being the mechanically dominant layer. The inclusion of fibers in the amnion material model is an important factor in obtaining reliable fetal membrane behavior according to the experimental dataset. These results highlight the potential of this layered model to be integrated into larger biomechanical models of the gravid uterus and cervix to study the mechanical mechanisms of preterm birth.

Indexed as

Premature BirthAmnionExtraembryonic MembranesFemaleFetusHumansInfant, NewbornMechanical TestsPregnancyAmnionChorionConstitutive modelFetal membraneInflation testNumerical simulation

Identifiers

PMID38160642
PMCPMC11588392

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LicenceCC BY
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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.