Literature DB >> 24075219

Fracture non-union: Can biomarkers predict outcome?

I Pountos1, T Georgouli, S Pneumaticos, P V Giannoudis.   

Abstract

Delayed bone healing and non-union occurs in approximately 10-15% of long bone fractures. Both pathologies may result in prolonged period of pain, disability and repetitive operative interventions. Despite intense investigations and progress done in understanding the pathophysiologic processes governing bone healing, the diagnostic tools have not been altered. The clinical findings and radiographic features remain the two important landmarks of diagnosing non-union and even when the diagnosis is established there is debate on the ideal timing and mode of intervention. Emerging evidence suggest that there are certain molecules and genes that can serve as predictors of potentially unsuccessful fracture union. This article summarises the current evidence on the available 'bio-markers'to predict fracture non-union.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biomarkers; Bone healing; Genetic factors; Non-union

Mesh:

Substances:

Year:  2013        PMID: 24075219     DOI: 10.1016/j.injury.2013.09.009

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  22 in total

1.  Serum 25(OH)D is associated with an altered bone turnover marker response after a hip fracture.

Authors:  Christopher C Stewart; Nathan N O'Hara; Denise Orwig; Marc C Hochberg; Sheila Sprague; Jay Magaziner; Gerard P Slobogean
Journal:  J Orthop Res       Date:  2019-01-10       Impact factor: 3.494

2.  Image Analysis Software as a Strategy to Improve the Radiographic Determination of Fracture Healing.

Authors:  Jeffrey Duryea; Christopher Evans; Vaida Glatt
Journal:  J Orthop Trauma       Date:  2018-09       Impact factor: 2.512

Review 3.  DC-STAMP: A Key Regulator in Osteoclast Differentiation.

Authors:  Ya-Hui Chiu; Christopher T Ritchlin
Journal:  J Cell Physiol       Date:  2016-06-14       Impact factor: 6.384

Review 4.  Methodology, selection, and integration of fracture healing assessments in mice.

Authors:  Adam M Knox; Anthony C McGuire; Roman M Natoli; Melissa A Kacena; Christopher D Collier
Journal:  J Orthop Res       Date:  2021-09-10       Impact factor: 3.494

5.  Delivery vehicle effects on bone regeneration and heterotopic ossification induced by high dose BMP-2.

Authors:  Laxminarayanan Krishnan; Lauren B Priddy; Camden Esancy; Brett S Klosterhoff; Hazel Y Stevens; Lisa Tran; Robert E Guldberg
Journal:  Acta Biomater       Date:  2016-12-08       Impact factor: 8.947

6.  Serum proteomic assessment of the progression of fracture healing.

Authors:  Amira I Hussein; Christian Mancini; Kyle E Lybrand; Margaret E Cooke; Heather E Matheny; Brenna L Hogue; Paul Tornetta; Louis C Gerstenfeld
Journal:  J Orthop Res       Date:  2017-11-22       Impact factor: 3.494

Review 7.  Development of controlled drug delivery systems for bone fracture-targeted therapeutic delivery: A review.

Authors:  Yuchen Wang; Maureen R Newman; Danielle S W Benoit
Journal:  Eur J Pharm Biopharm       Date:  2018-02-19       Impact factor: 5.571

Review 8.  [Basic principles of fracture healing].

Authors:  Valentin Rausch; Dominik Seybold; Matthias Königshausen; Manfred Köller; Thomas A Schildhauer; Jan Geßmann
Journal:  Orthopade       Date:  2017-08       Impact factor: 1.087

9.  Is a staged reloading protocol effective to time the removal of circular frames? : a retrospective analysis.

Authors:  Vilas Sadekar; Arun T Watts; Elizabeth Moulder; Panayiotis Souroullas; Yvonne Hadland; Elizabeth Barron; Ross Muir; Hemant K Sharma
Journal:  Bone Jt Open       Date:  2022-05

10.  Longitudinal analysis of osteogenic and angiogenic signaling factors in healing models mimicking atrophic and hypertrophic non-unions in rats.

Authors:  Susann Minkwitz; Mirja Faßbender; Zienab Kronbach; Britt Wildemann
Journal:  PLoS One       Date:  2015-04-24       Impact factor: 3.240

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