Evidence map›Paper›PMID 36913724›Full record

ArticleBiofabrication2023

Suspension bath bioprinting and maturation of anisotropic meniscal constructs.

Margaret E Prendergast, Su-Jin Heo, Robert L Mauck, Jason A Burdick

Open access · hybridAbstract read
In one paragraph

Article in Biofabrication, 2023. 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
2.1field-weighted citation impact, top 14% 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, 19 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

4 authors at 3 institutions in 1 country.

Margaret E PrendergastDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0000-0002-2534-5385
Su-Jin HeoDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.
Robert L MauckDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0000-0002-9537-603X
Jason A BurdickDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID 0000-0002-2006-332X
Philadelphia VA Medical Center · USUniversity of Colorado Boulder · USUniversity of Pennsylvania · US

Funding

Dynamic Fibrous Scaffolds for Repairing Dense Connective TissuesR01AR056624 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Jason A Burdick, Robert L Mauck · 2009 to 2026
$7.5M
NIAMS NIH HHS R01 AR056624
6 · The paper itself

Abstract

Due to limited intrinsic healing capacity of the meniscus, meniscal injuries pose a significant clinical challenge. The most common method for treatment of damaged meniscal tissues, meniscectomy, leads to improper loading within the knee joint, which can increase the risk of osteoarthritis. Thus, there is a clinical need for the development of constructs for meniscal repair that better replicate meniscal tissue organization to improve load distributions and function over time. Advanced three-dimensional bioprinting technologies such as suspension bath bioprinting provide some key advantages, such as the ability to support the fabrication of complex structures using non-viscous bioinks. In this work, the suspension bath printing process is utilized to print anisotropic constructs with a unique bioink that contains embedded hydrogel fibers that align via shear stresses during printing. Constructs with and without fibers are printed and then cultured for up to 56 d

Indexed as

BioprintingMeniscusHydrogelsTechnologyHydrogelsalignmentbioprintingfibershydrogelmeniscus

Identifiers

PMID36913724
PMCPMC10156462
OpenAlexW4324026484

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.