Literature DB >> 12730782

Patient assessment using standardized bone mineral density values and a national reference database: implementing uniform thresholds for the reimbursement of osteoporosis treatments in Belgium.

S Boonen1, J-M Kaufman, J-Y Reginster, J-P Devogelaer.   

Abstract

Dual-energy X-ray absorptiometry (DXA) devices from the three main manufacturers provide different bone mineral density (BMD) values, due in part to technical differences in the algorithms for bone mineral content (BMC) and area measurements and in part to the use of different manufacturer-derived reference databases. As a result, significant differences exist between Hologic, Lunar and Norland systems in the reported young normal standard deviation scores or T-scores. In a number of European countries, including Belgium, a T-score below -2.5 is one of the key criteria for reimbursement of osteoporosis treatments. This paper addresses the first attempt to implement a nationwide, uniform expression of BMD in patients, in order to harmonize drug reimbursement. To this end, measures were taken to implement a uniform expression of BMD in Belgian patients, by converting each manufacturer's absolute BMD to standardized BMD (sBMD) values and by establishing a single national reference range.

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Year:  2003        PMID: 12730782     DOI: 10.1007/s00198-002-1321-z

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


  21 in total

1.  Assessment of spinal and femoral bone density by dual X-ray absorptiometry: comparison of lunar and hologic instruments.

Authors:  N A Pocock; P N Sambrook; T Nguyen; P Kelly; J Freund; J A Eisman
Journal:  J Bone Miner Res       Date:  1992-09       Impact factor: 6.741

2.  The effects of standardization and reference values on patient classification for spine and femur dual-energy X-ray absorptiometry.

Authors:  A Simmons; D E Simpson; M J O'Doherty; S Barrington; A J Coakley
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

3.  An update on the diagnosis and assessment of osteoporosis with densitometry. Committee of Scientific Advisors, International Osteoporosis Foundation.

Authors:  J A Kanis; C C Glüer
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

4.  A randomized trial of nasal spray salmon calcitonin in postmenopausal women with established osteoporosis: the prevent recurrence of osteoporotic fractures study. PROOF Study Group.

Authors:  C H Chesnut; S Silverman; K Andriano; H Genant; A Gimona; S Harris; D Kiel; M LeBoff; M Maricic; P Miller; C Moniz; M Peacock; P Richardson; N Watts; D Baylink
Journal:  Am J Med       Date:  2000-09       Impact factor: 4.965

5.  Universal standardization of bone density measurements: a method with optimal properties for calibration among several instruments.

Authors:  S L Hui; S Gao; X H Zhou; C C Johnston; Y Lu; C C Glüer; S Grampp; H Genant
Journal:  J Bone Miner Res       Date:  1997-09       Impact factor: 6.741

6.  Proximal femur bone mineral levels of US adults.

Authors:  A C Looker; H W Wahner; W L Dunn; M S Calvo; T B Harris; S P Heyse; C C Johnston; R L Lindsay
Journal:  Osteoporos Int       Date:  1995       Impact factor: 4.507

7.  Screening for osteopenia and osteoporosis: do the accepted normal ranges lead to overdiagnosis?

Authors:  A I Ahmed; G M Blake; J M Rymer; I Fogelman
Journal:  Osteoporos Int       Date:  1997       Impact factor: 4.507

8.  Reduction of vertebral fracture risk in postmenopausal women with osteoporosis treated with raloxifene: results from a 3-year randomized clinical trial. Multiple Outcomes of Raloxifene Evaluation (MORE) Investigators.

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Journal:  JAMA       Date:  1999-08-18       Impact factor: 56.272

9.  Exercise, smoking, and calcium intake during adolescence and early adulthood as determinants of peak bone mass. Cardiovascular Risk in Young Finns Study Group.

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Journal:  BMJ       Date:  1994-07-23

10.  Bone mineral density in diagnosis of osteoporosis: reference population, definition of peak bone mass, and measured site determine prevalence.

Authors:  O Löfman; L Larsson; G Toss
Journal:  J Clin Densitom       Date:  2000       Impact factor: 2.963

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  7 in total

1.  Comparison of spine and femur reference data in native Chinese women from different regions of China.

Authors:  Xian-Ping Wu; Er-Yuan Liao; Ru-Chun Dai; Peng-Fei Shan; Tuan-Yu Fang; Xiang-Hang Luo; Yin-Zhen Pi; Yebin Jiang
Journal:  Osteoporos Int       Date:  2005-03-22       Impact factor: 4.507

2.  A FRAX® model for the assessment of fracture probability in Belgium.

Authors:  H Johansson; J A Kanis; E V McCloskey; A Odén; J-P Devogelaer; J-M Kaufman; A Neuprez; M Hiligsmann; O Bruyere; J-Y Reginster
Journal:  Osteoporos Int       Date:  2010-03-30       Impact factor: 4.507

3.  Cost effectiveness of denosumab compared with oral bisphosphonates in the treatment of post-menopausal osteoporotic women in Belgium.

Authors:  Mickaël Hiligsmann; Jean-Yves Reginster
Journal:  Pharmacoeconomics       Date:  2011-10       Impact factor: 4.981

4.  Identifying postmenopausal women with osteoporosis by calcaneal ultrasound, metacarpal digital X-ray radiogrammetry and phalangeal radiographic absorptiometry: a comparative study.

Authors:  Steven Boonen; Jos Nijs; Herman Borghs; Herman Peeters; Dirk Vanderschueren; Frank P Luyten
Journal:  Osteoporos Int       Date:  2004-06-10       Impact factor: 4.507

5.  The surgeon's real dose exposure during balloon kyphoplasty procedure and evaluation of the cement delivery system: a prospective study.

Authors:  Frédéric Schils; Werner Schoojans; Lara Struelens
Journal:  Eur Spine J       Date:  2013-02-09       Impact factor: 3.134

Review 6.  Treatment recommendations based on fracture risk status are not consistently provided in osteoporosis guidelines.

Authors:  Joanna E M Sale; Matthew Gray; Daniel Mancuso; Taucha Inrig; Gilles Boire; Marie-Claude Beaulieu; Larry Funnell; Earl Bogoch
Journal:  Rheumatol Int       Date:  2018-10-26       Impact factor: 2.631

7.  Fragility Fractures in Postmenopausal Women: Development of 5-Year Prediction Models Using the FRISBEE Study.

Authors:  Felicia Baleanu; Michel Moreau; Alexia Charles; Laura Iconaru; Rafik Karmali; Murielle Surquin; Florence Benoit; Aude Mugisha; Marianne Paesmans; Michel Rubinstein; Serge Rozenberg; Pierre Bergmann; Jean-Jacques Body
Journal:  J Clin Endocrinol Metab       Date:  2022-05-17       Impact factor: 6.134

  7 in total

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