Evidence map›Paper›PMID 28726574›Full record

ArticleTissue engineering. Part C, Methods2017

Rise of the Pigs: Utilization of the Porcine Model to Study Musculoskeletal Biomechanics and Tissue Engineering During Skeletal Growth.

Stephanie G Cone, Paul B Warren, Matthew B Fisher

Abstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. BoneJBMR plus · 2026
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  10. Review
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  20. Noninvasive Fibrin Targeting Colloid-Mediated Intra-Articular Repair.Journal of biomedical materials research. Part A · 2025
    Article
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

3 authors.

Stephanie G Cone1 Department of Biomedical Engineering, North Carolina State University , Raleigh, North Carolina and University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Paul B Warren1 Department of Biomedical Engineering, North Carolina State University , Raleigh, North Carolina and University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Matthew B Fisher1 Department of Biomedical Engineering, North Carolina State University , Raleigh, North Carolina and University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Funding

Age-Dependent ACL Function During Growth: Guiding Injury Treatment in ChildrenR03AR068112 · NIAMS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI FISHER, MATTHEW B · 2015 to 2017
$227k
NIAMS NIH HHS R03 AR068112
6 · The paper itself

Abstract

Large animal models play an essential role in the study of tissue engineering and regenerative medicine (TERM), as well as biomechanics. The porcine model has been increasingly used to study the musculoskeletal system, including specific joints, such as the knee and temporomandibular joints, and tissues, such as bone, cartilage, and ligaments. In particular, pigs have been utilized to evaluate the role of skeletal growth on the biomechanics and engineered replacements of these joints and tissues. In this review, we explore the publication history of the use of pig models in biomechanics and TERM discuss interspecies comparative studies, highlight studies on the effect of skeletal growth and other biological considerations in the porcine model, and present challenges and emerging opportunities for using this model to study functional TERM.

Indexed as

Bone DevelopmentMusculoskeletal Physiological PhenomenaTissue EngineeringAnimalsBiomechanical PhenomenaModels, AnimalRegenerative MedicineSus scrofaanimal modelsbonecartilageligament and tendonskeletal muscle

Identifiers

PMID28726574
PMCPMC5689129

What OpenQuestion holds

Textmetadata
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.