Evidence map›Paper›PMID 33665213›Full record

ReviewFrontiers in veterinary science2020

A Review of Recent Advances in 3D Bioprinting With an Eye on Future Regenerative Therapies in Veterinary Medicine.

Colin Jamieson, Patrick Keenan, D'Arcy Kirkwood, Saba Oji, Caroline Webster, Keith A Russell, Thomas G Koch

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
–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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
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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.

Colin JamiesonReproductive Health and Biotechnology Lab, Department of Biomedical Science, University of Guelph, Guelph, ON, Canada.
Patrick KeenanReproductive Health and Biotechnology Lab, Department of Biomedical Science, University of Guelph, Guelph, ON, Canada.
D'Arcy KirkwoodReproductive Health and Biotechnology Lab, Department of Biomedical Science, University of Guelph, Guelph, ON, Canada.
Saba OjiReproductive Health and Biotechnology Lab, Department of Biomedical Science, University of Guelph, Guelph, ON, Canada.
Caroline WebsterReproductive Health and Biotechnology Lab, Department of Biomedical Science, University of Guelph, Guelph, ON, Canada.
Keith A RussellReproductive Health and Biotechnology Lab, Department of Biomedical Science, University of Guelph, Guelph, ON, Canada.
Thomas G KochReproductive Health and Biotechnology Lab, Department of Biomedical Science, University of Guelph, Guelph, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D bioprinting is a rapidly evolving industry that has been utilized for a variety of biomedical applications. It differs from traditional 3D printing in that it utilizes bioinks comprised of cells and other biomaterials to allow for the generation of complex functional tissues. Bioprinting involves computational modeling, bioink preparation, bioink deposition, and subsequent maturation of printed products; it is an intricate process where bioink composition, bioprinting approach, and bioprinter type must be considered during construct development. This technology has already found success in human studies, where a variety of functional tissues have been generated for both

Indexed as

3D printadditive manufacturingbioprintregenerative medicinetissue engineeringveterinary

Identifiers

PMID33665213
PMCPMC7921312

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.