Evidence map›Paper›PMID 29080279›Full record

ReviewStem cells translational medicine2017

Concise Review: Biomimetic Functionalization of Biomaterials to Stimulate the Endogenous Healing Process of Cartilage and Bone Tissue.

Francesca Taraballi, Guillermo Bauza, Patrick McCulloch, Josh Harris, Ennio Tasciotti

Abstract readReview
In one paragraph

Review in Stem cells translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

5 authors.

Francesca TaraballiCenter for Biomimetic Medicine, Houston Methodist Research Institute, Houston, Texas, USA.ORCID 0000-0002-4959-1169
Guillermo BauzaCenter for Biomimetic Medicine, Houston Methodist Research Institute, Houston, Texas, USA.
Patrick McCullochDepartment of Orthopedic & Sports Medicine, The Houston Methodist Hospital, Houston, Texas, USA.
Josh HarrisDepartment of Orthopedic & Sports Medicine, The Houston Methodist Hospital, Houston, Texas, USA.
Ennio TasciottiCenter for Biomimetic Medicine, Houston Methodist Research Institute, Houston, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal reconstruction is an ongoing challenge for surgeons as it is required for one out of five patients undergoing surgery. In the past three decades, through the close collaboration between clinicians and basic scientists, several regenerative strategies have been proposed. These have emerged from interdisciplinary approaches that bridge tissue engineering with material science, physiology, and cell biology. The paradigm behind tissue engineering is to achieve regeneration and functional recovery using stem cells, bioactive molecules, or supporting materials. Although plenty of preclinical solutions for bone and cartilage have been presented, only a few platforms have been able to move from the bench to the bedside. In this review, we highlight the limitations of musculoskeletal regeneration and summarize the most relevant acellular tissue engineering approaches. We focus on the strategies that could be most effectively translate in clinical practice and reflect on contemporary and cutting-edge regenerative strategies in surgery. Stem Cells Translational Medicine 2017;6:2186-2196.

Indexed as

Bone RegenerationAnimalsBone SubstitutesCartilageHumansRegenerative MedicineStem Cell NicheTissue EngineeringBone SubstitutesMesenchymal stem cellsStem cell-microenvironment interactionsTissue engineeringTissue regeneration

Identifiers

PMID29080279
PMCPMC5702525

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.