Literature DB >> 19190842

Bone turnover markers: understanding their value in clinical trials and clinical practice.

R Civitelli1, R Armamento-Villareal, N Napoli.   

Abstract

While bone mineral density (BMD) by dual-energy X-ray absorptiometry is the primary method of determining fracture risk, assessing bone turnover may add valuable information for the management of patients with low bone mass. Bone turnover markers (BTMs) are used in clinical trials where they can provide essential information on the biological efficacy of osteoporosis treatments. In such population-based studies, BTMs can predict fracture risk independent of BMD. When combined with BMD, they improve the fracture risk estimate above and beyond BMD alone in postmenopausal osteoporotic women. Since changes in bone turnover after the initiation of therapy with bone resorption inhibitors occur much more rapidly than changes in BMD, treatment efficacy could, in theory, be determined within weeks of using BTMs. However, such predictive value is limited by the large biological variability of these biochemical markers, even though newer automated methods have reduced their analytical variability. Consequently, widespread adoption as a means of predicting treatment efficacy in fracture prevention for individual patients cannot yet be recommended. BTMs may be useful for monitoring adherence to antiresorptive therapy and may aid in identifying patients for whom antiresorptive therapy is most appropriate. Thus, although BTMs are currently confined to clinical research applications, further improvement in assay precision may extend their diagnostic value in clinical settings.

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Year:  2009        PMID: 19190842     DOI: 10.1007/s00198-009-0838-9

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  87 in total

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Journal:  J Bone Miner Res       Date:  1999-11       Impact factor: 6.741

Review 2.  Remodeling and skeletal fragility.

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Journal:  Osteoporos Int       Date:  2003-08-29       Impact factor: 4.507

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Authors:  D B Burr
Journal:  J Musculoskelet Neuronal Interact       Date:  2003-12       Impact factor: 2.041

4.  Biochemical markers of bone turnover and prediction of hip bone loss in older women: the study of osteoporotic fractures.

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Journal:  J Bone Miner Res       Date:  1999-08       Impact factor: 6.741

5.  The short-term effects of conjugated estrogen on bone turnover in older women.

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Journal:  J Clin Endocrinol Metab       Date:  1994-08       Impact factor: 5.958

6.  Compliance with osteoporosis medications.

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Journal:  Arch Intern Med       Date:  2005-11-14

7.  Changes in bone density and turnover explain the reductions in incidence of nonvertebral fractures that occur during treatment with antiresorptive agents.

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Journal:  J Clin Endocrinol Metab       Date:  2002-04       Impact factor: 5.958

8.  Increased bone turnover in late postmenopausal women is a major determinant of osteoporosis.

Authors:  P Garnero; E Sornay-Rendu; M C Chapuy; P D Delmas
Journal:  J Bone Miner Res       Date:  1996-03       Impact factor: 6.741

9.  No difference between strontium ranelate (SR) and calcium/vitamin D on bone turnover markers in women with established osteoporosis previously treated with teriparatide: a randomized controlled trial.

Authors:  Athanasios D Anastasilakis; Dimirtios G Goulis; Stergios A Polyzos; Spiridon Gerou; Iris Ballaouri; Zoe Efstathiadou; Marina Kita; Avraam Avramidis
Journal:  Clin Endocrinol (Oxf)       Date:  2009-04       Impact factor: 3.478

10.  Bone mineral density thresholds for pharmacological intervention to prevent fractures.

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Journal:  Arch Intern Med       Date:  2004-05-24
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  59 in total

Review 1.  Advances in the understanding of mineral and bone metabolism in inflammatory bowel diseases.

Authors:  Fayez K Ghishan; Pawel R Kiela
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2010-11-18       Impact factor: 4.052

Review 2.  Fruit and vegetable intake and bone health in women aged 45 years and over: a systematic review.

Authors:  M Hamidi; B A Boucher; A M Cheung; J Beyene; P S Shah
Journal:  Osteoporos Int       Date:  2010-12-17       Impact factor: 4.507

Review 3.  Clinical use of bone turnover markers to monitor pharmacologic fracture prevention therapy.

Authors:  John T Schousboe; Douglas C Bauer
Journal:  Curr Osteoporos Rep       Date:  2012-03       Impact factor: 5.096

4.  Reference intervals of bone turnover markers determined by using their curve-fitting valley for adult females in China.

Authors:  X-Y Wu; H Zhang; H Xie; X-H Luo; Y-Q Peng; L-Q Yuan; R-C Dai; Z-F Sheng; X-P Wu; E-Y Liao
Journal:  Osteoporos Int       Date:  2013-07-23       Impact factor: 4.507

5.  Histomorphometric diagnostics of renal osteopathy in chronic dialysis patients at high risk of cardiovascular disease.

Authors:  K Žamboch; K Krejčí; J Škarda; M Tichý; I Überall; P Skýpalová; K Langová; D Stejskal; M Švesták; J Zahálková; V Ščudla; J Zadražil
Journal:  Int Urol Nephrol       Date:  2015-05-01       Impact factor: 2.370

6.  Socioeconomic status, race, and bone turnover in the Midlife in the US Study.

Authors:  C J Crandall; D Miller-Martinez; G A Greendale; N Binkley; T E Seeman; A S Karlamangla
Journal:  Osteoporos Int       Date:  2011-08-03       Impact factor: 4.507

Review 7.  Biomarkers of Calcific Aortic Valve Disease.

Authors:  Aeron Small; Daniel Kiss; Jay Giri; Saif Anwaruddin; Hasan Siddiqi; Marie Guerraty; Julio A Chirinos; Giovanni Ferrari; Daniel J Rader
Journal:  Arterioscler Thromb Vasc Biol       Date:  2017-02-02       Impact factor: 8.311

8.  Bone mineral density in residents of care facilities for the aged and effect of pharmacotherapy.

Authors:  Takahiro Tokuda; Junichi Hasegawa; Akiko Matsuda; Hiroshi Hagino
Journal:  Yonago Acta Med       Date:  2014-04-28       Impact factor: 1.641

9.  Distribution of serum βCTX in a population-based study of postmenopausal women taking into account different anti-osteoporotic therapies (the FRODOS Cohort).

Authors:  Eduardo Kanterewicz; Pilar Peris; Emma Puigoriol; Aina Yáñez; Pau Rosique; Luis Del Rio
Journal:  J Bone Miner Metab       Date:  2012-12-08       Impact factor: 2.626

10.  Biomarkers of bone remodeling in children with mucopolysaccharidosis types I, II, and VI.

Authors:  David A Stevenson; Kyle Rudser; Alicia Kunin-Batson; Ellen B Fung; David Viskochil; Elsa Shapiro; Paul J Orchard; Chester B Whitley; Lynda E Polgreen
Journal:  J Pediatr Rehabil Med       Date:  2014
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