Evidence map›Paper›PMID 34634507›Full record

ArticleActa biomaterialia2022

Bayesian calibration of a computational model of tissue expansion based on a porcine animal model.

Tianhong Han, Taeksang Lee, Joanna Ledwon, Elbert Vaca, Sergey Turin, Aaron Kearney, Arun K Gosain, Adrian B Tepole

Open access · greenAbstract read
In one paragraph

Article in Acta biomaterialia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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  10. An introduction to the Ogden model in biomechanics: benefits, implementation tools and limitations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
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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

8 authors at 2 institutions in 1 country.

Tianhong HanSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
Taeksang LeeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
Joanna LedwonAnn and Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Elbert VacaAnn and Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Sergey TurinAnn and Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Aaron KearneyAnn and Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Arun K GosainAnn and Robert H. Lurie Children's Hospital, Chicago, IL, USA.
Adrian B TepoleSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA; Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. Electronic address: abuganza@purdue.edu.
Lurie Children's Hospital · USPurdue University West Lafayette · US

Funding

Multi-Scale Modeling to Predict Long-Term Growth and Remodeling of Skin in Response to StretchR01AR074525 · NIAMS · PURDUE UNIVERSITY · PI BUGANZA TEPOLE, ADRIAN · 2019 to 2023
$2.7M
NIAMS NIH HHS R01 AR074525
6 · The paper itself

Abstract

Tissue expansion is a technique used clinically to grow skin in situ to correct large defects. Despite its enormous potential, lack of fundamental knowledge of skin adaptation to mechanical cues, and lack of predictive computational models limit the broader adoption and efficacy of tissue expansion. In our previous work, we introduced a finite element model of tissue expansion that predicted key patterns of strain and growth which were then confirmed by our porcine animal model. Here we use the data from a new set of experiments to calibrate the computational model within a Bayesian framework. Four 10×10cm

Indexed as

MastectomyTissue ExpansionAnimalsBayes TheoremCalibrationComputer SimulationDisease Models, AnimalSwineSwine, MiniatureTissue Expansion DevicesBayesian inferenceGrowth and remodelingNonlinear finite elementsSkin biomechanics

Identifiers

PMID34634507
PMCPMC8678288
OpenAlexW3206458644

What OpenQuestion holds

Textmetadata
LicenceTDM
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.