Evidence map›Paper›PMID 37854951›Full record

ArticleMaterials & design2023

The correlation between rheological properties and extrusion-based printability in bioink artifact quantification.

Gregory J Gillispie, Joshua Copus, Meryem Uzun-Per, James J Yoo, Anthony Atala, Muhammad Khalid Khan Niazi, Sang Jin Lee

Abstract read
In one paragraph

Article in Materials & design, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Graphene and TiACS applied bio materials · 2026
    Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
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.

Gregory J GillispieWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Joshua CopusWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Meryem Uzun-PerCenter for Biomedical Informatics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
James J YooWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Anthony AtalaWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Muhammad Khalid Khan NiaziCenter for Biomedical Informatics, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
Sang Jin LeeWake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.

Funding

Training and Dissemination CoreP41EB023833 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI FISHER, JOHN P, MIKOS, ANTONIOS G. · 2017 to 2021
$6.2M
NIBIB NIH HHS P41 EB023833
6 · The paper itself

Abstract

Bioinks for cell-based bioprinting face availability limitations. Furthermore, the bioink development process needs comprehensive printability assessment methods and a thorough understanding of rheological factors' influence on printing outcomes. To bridge this gap, our study aimed to investigate the relationship between rheological properties and printing outcomes. We developed a specialized bioink artifact specifically designed to improve the quantification of printability assessment. This bioink artifact adhered to established criteria from extrusion-based bioprinting approaches. Seven hydrogel-based bioinks were selected and tested using the bioink artifact and rheological measurement. Rheological analysis revealed that the high-performing bioinks exhibited notable characteristics such as high storage modulus, low tan(δ), high shear-thinning capabilities, high yield stress, and fast, near-complete recovery abilities. Although rheological data alone cannot fully explain printing outcomes, certain metrics like storage modulus and tan(δ) correlated well (R

Indexed as

3D bioprintingBioinkHydrogelMicroextrusionPrintabilityRheology

Identifiers

PMID37854951
PMCPMC10583861

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.