Literature DB >> 23641258

Personalized medicine for osteoarthritis: where are we now?

Allen Dale Sawitzke1.   

Abstract

Personalized medicine is a much talked about subject that is a timely and important development to healthcare in general and also specifically for patients affected by osteoarthritis. This review uses biomarker examples pertinent to osteoarthritis to highlight the current status of the field, while also highlighting probable future developments. It is not meant to be an exhaustive account. The BIPED(s) [Burden of disease, Investigative, Prognosis, Efficacy, Diagnosis (safety)] classification system is used to organize the discussion of examples. Biomarkers pertaining to burden, investigation, prognosis, efficacy, diagnosis and safety are highlighted. The examples are followed by a discussion of issues related to interpretation and application of biomarker results and approaches to solve the challenges interpretation faces, including graphical, mathematical and synthetic representations. Through this review, it is hoped that a better appreciation can be gained of the potential and pitfalls of personal medicine in the care of patients with osteoarthritis.

Entities:  

Keywords:  analysis; biomarker; diagnosis; efficacy; human; investigation; osteoarthritis; prognosis; safety

Year:  2013        PMID: 23641258      PMCID: PMC3638314          DOI: 10.1177/1759720X12470752

Source DB:  PubMed          Journal:  Ther Adv Musculoskelet Dis        ISSN: 1759-720X            Impact factor:   5.346


  59 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

Review 2.  Differential diagnosis of nongap metabolic acidosis: value of a systematic approach.

Authors:  Jeffrey A Kraut; Nicolaos E Madias
Journal:  Clin J Am Soc Nephrol       Date:  2012-03-08       Impact factor: 8.237

3.  Associations between cartilage oligomeric matrix protein and several articular tissues in early knee joint osteoarthritis.

Authors:  J Kumm; A Tamm; K Veske; M Lintrop; A Tamm
Journal:  Rheumatology (Oxford)       Date:  2006-08-18       Impact factor: 7.580

Review 4.  Classification of osteoarthritis biomarkers: a proposed approach.

Authors:  D C Bauer; D J Hunter; S B Abramson; M Attur; M Corr; D Felson; D Heinegård; J M Jordan; T B Kepler; N E Lane; T Saxne; B Tyree; V B Kraus
Journal:  Osteoarthritis Cartilage       Date:  2006-06-02       Impact factor: 6.576

5.  Nottingham knee osteoarthritis risk prediction models.

Authors:  Weiya Zhang; Daniel F McWilliams; Sarah L Ingham; Sally A Doherty; Stella Muthuri; Kenneth R Muir; Michael Doherty
Journal:  Ann Rheum Dis       Date:  2011-05-25       Impact factor: 19.103

Review 6.  Field synopsis and synthesis of genetic association studies in osteoarthritis: the CUMAGAS-OSTEO information system.

Authors:  Elias Zintzaras; Georgios D Kitsios; Dimitrios C Ziogas; Paraskevi Rodopoulou; Theofilos Karachalios
Journal:  Am J Epidemiol       Date:  2010-03-17       Impact factor: 4.897

7.  N-terminal pro-B-type natriuretic peptide concentrations predict the risk of cardiovascular adverse events from antiinflammatory drugs: a pilot trial.

Authors:  Kay Brune; Hugo A Katus; Joachim Moecks; Eberhard Spanuth; Allan S Jaffe; Evangelos Giannitsis
Journal:  Clin Chem       Date:  2008-05-01       Impact factor: 8.327

8.  Interleukin-6 is a significant predictor of radiographic knee osteoarthritis: The Chingford Study.

Authors:  Gregory Livshits; Guangju Zhai; Deborah J Hart; Bernet S Kato; Huizhong Wang; Frances M K Williams; Tim D Spector
Journal:  Arthritis Rheum       Date:  2009-07

9.  Identification of progressors in osteoarthritis by combining biochemical and MRI-based markers.

Authors:  Erik B Dam; Marco Loog; Claus Christiansen; Inger Byrjalsen; Jenny Folkesson; Mads Nielsen; Arish A Qazi; Paola C Pettersen; Patrick Garnero; Morten A Karsdal
Journal:  Arthritis Res Ther       Date:  2009-07-24       Impact factor: 5.156

10.  Increased urinary excretion of C-telopeptides of type II collagen (CTX-II) predicts cartilage loss over 21 months by MRI.

Authors:  E B Dam; I Byrjalsen; M A Karsdal; P Qvist; C Christiansen
Journal:  Osteoarthritis Cartilage       Date:  2008-09-03       Impact factor: 6.576

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  4 in total

1.  Words matter: distinguishing "personalized medicine" and "biologically personalized therapeutics".

Authors:  Nathan I Cherny; Elisabeth G E de Vries; Linda Emanuel; Lesley Fallowfield; Prudence A Francis; Alberto Gabizon; Martine J Piccart; David Sidransky; Lior Soussan-Gutman; Chariklia Tziraki
Journal:  J Natl Cancer Inst       Date:  2014-10-07       Impact factor: 13.506

Review 2.  State of the Art: The Immunomodulatory Role of MSCs for Osteoarthritis.

Authors:  Dae Gyu Kwon; Myung Ku Kim; Yoon Sang Jeon; Yoon Cheol Nam; Jin Seong Park; Dong Jin Ryu
Journal:  Int J Mol Sci       Date:  2022-01-30       Impact factor: 5.923

Review 3.  Single Nucleotide Polymorphisms and Osteoarthritis: An Overview and a Meta-Analysis.

Authors:  Ting Wang; Yuting Liang; Hong Li; Haibo Li; Quanze He; Ying Xue; Cong Shen; Chunhua Zhang; Jingjing Xiang; Jie Ding; Longwei Qiao; Qiping Zheng
Journal:  Medicine (Baltimore)       Date:  2016-02       Impact factor: 1.889

Review 4.  An insight into osteoarthritis susceptibility: Integration of immunological and genetic background.

Authors:  Debora Stefik; Vladimir Vranic; Nemanja Ivkovic; Dzihan Abazovic; Dusan Maric; Danilo Vojvodic; Gordana Supic
Journal:  Bosn J Basic Med Sci       Date:  2021-04-01       Impact factor: 3.363

  4 in total

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