Evidence map›Paper›PMID 35160457›Full record

ReviewPolymers2022

Methods to Characterize Electrospun Scaffold Morphology: A Critical Review.

Alex Lopez Marquez, Iván Emilio Gareis, Fernando José Dias, Christoph Gerhard, María Florencia Lezcano

Abstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

5 authors.

Alex Lopez MarquezFaculty of Engineering and Health, University of Applied Sciences and Arts, 37085 Gottingen, Germany.ORCID 0000-0002-3353-280X
Iván Emilio GareisLaboratorio de Cibernética, Departamento de Bioingeniería, Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Oro Verde 3100, Argentina.
Fernando José DiasResearch Centre for Dental Sciences CICO, Department of Integral Adults Dentistry, Dental School, Universidad de La Frontera, Temuco 4811230, Chile.ORCID 0000-0001-9945-9185
Christoph GerhardFaculty of Engineering and Health, University of Applied Sciences and Arts, 37085 Gottingen, Germany.ORCID 0000-0002-6837-2498
María Florencia LezcanoLaboratorio de Cibernética, Departamento de Bioingeniería, Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Oro Verde 3100, Argentina.ORCID 0000-0002-5033-9526

Funding

University of La Frontera Project DI20-0040
6 · The paper itself

Abstract

Electrospun scaffolds can imitate the hierarchical structures present in the extracellular matrix, representing one of the main concerns of modern tissue engineering. They are characterized in order to evaluate their capability to support cells or to provide guidelines for reproducibility. The issues with widely used methods for morphological characterization are discussed in order to provide insight into a desirable methodology for electrospun scaffold characterization. Reported methods include imaging and physical measurements. Characterization methods harbor inherent limitations and benefits, and these are discussed and presented in a comprehensive selection matrix to provide researchers with the adequate tools and insights required to characterize their electrospun scaffolds. It is shown that imaging methods present the most benefits, with drawbacks being limited to required costs and expertise. By making use of more appropriate characterization, researchers will avoid measurements that do not represent their scaffolds and perhaps might discover that they can extract more characteristics from their scaffold at no further cost.

Indexed as

electrospinningmorphologynanofibersporosityscaffold characterization

Identifiers

PMID35160457
PMCPMC8839183

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.