Evidence map›Paper›PMID 27125191›Full record

ReviewAdvanced drug delivery reviews2016

Poly (lactic acid)-based biomaterials for orthopaedic regenerative engineering.

Ganesh Narayanan, Varadraj N Vernekar, Emmanuel L Kuyinu, Cato T Laurencin

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing 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

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

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  10. Application of PLCL as a biodegradable polymer in biomedical engineering.Journal of materials science. Materials in medicine · 2026
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87 more citing papers are in PubMed but not listed here.

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.

Ganesh NarayananInstitute for Regenerative Engineering, University of Connecticut Health Center, Farmington, CT 06030, USA; Raymond and Beverly Sackler Center for Biomedical, Biological, Physical and Engineering Sciences, University of Connecticut Health Center, Farmington, CT 06030, USA; Department of Orthopaedic Surgery, University of Connecticut Health Center, Farmington, CT 06030, USA.
Varadraj N VernekarInstitute for Regenerative Engineering, University of Connecticut Health Center, Farmington, CT 06030, USA; Raymond and Beverly Sackler Center for Biomedical, Biological, Physical and Engineering Sciences, University of Connecticut Health Center, Farmington, CT 06030, USA; Department of Orthopaedic Surgery, University of Connecticut Health Center, Farmington, CT 06030, USA.
Emmanuel L KuyinuInstitute for Regenerative Engineering, University of Connecticut Health Center, Farmington, CT 06030, USA; Raymond and Beverly Sackler Center for Biomedical, Biological, Physical and Engineering Sciences, University of Connecticut Health Center, Farmington, CT 06030, USA; Department of Orthopaedic Surgery, University of Connecticut Health Center, Farmington, CT 06030, USA.
Cato T LaurencinInstitute for Regenerative Engineering, University of Connecticut Health Center, Farmington, CT 06030, USA; Raymond and Beverly Sackler Center for Biomedical, Biological, Physical and Engineering Sciences, University of Connecticut Health Center, Farmington, CT 06030, USA; Department of Orthopaedic Surgery, University of Connecticut Health Center, Farmington, CT 06030, USA; School of Medicine, University of Connecticut Health Center, Farmington, CT 06030, USA; Department of Reconstructive Sciences, University of Connecticut Health Center, Farmington, CT 06030, USA; Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, CT 06269, USA; Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269, USA; Department of Materials Science and Engineering, University of Connecticut, Storrs, CT 06269, USA. Electronic address: laurencin@uchc.edu.

Funding

Regenerative Engineering of Complex Musculoskeletal Tissues and JointsDP1AR068147 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LAURENCIN, CATO T. · 2014 to 2018
$4.1M
Novel Biodegradable Polymers for Tissue EngineeringR01AR046560 · NIAMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI LAURENCIN, CATO T · 2001 to 2004
$2.7M
A Translational Approach Towards Ligament RegenerationR01AR063698 · NIAMS · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LAURENCIN, CATO T. · 2013 to 2018
$1.9M
NIAMS NIH HHS DP1 AR068147NIAMS NIH HHS R01 AR046560NIAMS NIH HHS R01 AR063698
6 · The paper itself

Abstract

Regenerative engineering converges tissue engineering, advanced materials science, stem cell science, and developmental biology to regenerate complex tissues such as whole limbs. Regenerative engineering scaffolds provide mechanical support and nanoscale control over architecture, topography, and biochemical cues to influence cellular outcome. In this regard, poly (lactic acid) (PLA)-based biomaterials may be considered as a gold standard for many orthopaedic regenerative engineering applications because of their versatility in fabrication, biodegradability, and compatibility with biomolecules and cells. Here we discuss recent developments in PLA-based biomaterials with respect to processability and current applications in the clinical and research settings for bone, ligament, meniscus, and cartilage regeneration.

Indexed as

Regenerative MedicineTissue EngineeringBiocompatible MaterialsHumansOrthopedicsPolyestersRegenerationTissue ScaffoldsBiocompatible MaterialsPolyesterspoly(lactide)BoneCartillageGrowth factorsLigamentMeniscus regenerationPoly (lactic acid)Regenerative EngineeringSmall molecules

Identifiers

PMID27125191
PMCPMC5482531

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.