Evidence map›Paper›PMID 31942566›Full record

ArticleACS applied bio materials2019

I-Optimal Design of Hierarchical 3D Scaffolds Produced by Combining Additive Manufacturing and Thermally Induced Phase Separation.

Azizeh-Mitra Yousefi, Junyi Liu, Riley Sheppard, Songmi Koo, Joshua Silverstein, Jing Zhang, Paul F James

Open access · greenAbstract read
In one paragraph

Article in ACS applied bio materials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Azizeh-Mitra YousefiDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH 45056.
Junyi LiuDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH 45056.
Riley SheppardDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH 45056.
Songmi KooDepartment of Chemical, Paper and Biomedical Engineering, Miami University, Oxford, OH 45056.
Joshua SilversteinDepartment of Geology, Miami University, Oxford, OH 45056.
Jing ZhangDepartment of Statistics, Miami University, Oxford, OH 45056.
Paul F JamesDepartment of Biology, Miami University, Oxford, OH 45056.
Miami University · US

Funding

Hierarchical Composite Constructs as Tissue Engineering ScaffoldsR15AR066269 · NIAMS · MIAMI UNIVERSITY OXFORD · PI YOUSEFI, AMY · 2015 to 2015
$381k
NIAMS NIH HHS R15 AR066269
6 · The paper itself

Abstract

The limitations in the transport of oxygen, nutrients, and metabolic waste products pose a challenge to the development of bioengineered bone of clinically relevant size. This paper reports the design and characterization of hierarchical macro/microporous scaffolds made of poly(lactic-co-glycolic) acid and nanohydroxyapatite (PLGA/nHA). These scaffolds were produced by combining additive manufacturing (AM) and thermally induced phase separation (TIPS) techniques. Macrochannels with diameters of ~300 μm, ~380 μm, and ~460 μm were generated by embedding porous 3D-plotted polyethylene glycol (PEG) inside PLGA/nHA/1,4-dioxane or PLGA/1,4-dioxane solutions, followed by PEG extraction using deionized (DI) water. We have used an I-optimal design of experiments (DoE) and the response surface analysis (JMP® software) to relate three responses (scaffold thickness, porosity, and modulus) to the four experimental factors affecting the scaffold macro/microstructures (

Indexed as

3D plottingadditive manufacturingbone tissue engineeringdesign of experiments (DoE)macro/microporous scaffoldsthermally induced phase separation

Identifiers

PMID31942566
PMCPMC6961819
OpenAlexW2907316917

What OpenQuestion holds

Textmetadata
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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.