1996
DOI: 10.1136/bmj.312.7029.482
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Case-control analysis of bone resorption markers, disability, and hip fracture risk: the Rotterdam study

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Cited by 187 publications
(110 citation statements)
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“…The value of biochemical markers of bone resorption as predictors of further occurrence of fractures is based on the hypothesis that women with the highest rate of bone turnover will experience faster loss of bone and will develop subsequent fractures. This was confirmed by prospective studies showing that markers of resorption could predict the risk of hip fractures independently of BMD [18,22]. In this perspective, the optimal marker would be the one offering the best discrimination between osteoporotic subjects and age-matched normal subjects.…”
Section: Discussionmentioning
confidence: 74%
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“…The value of biochemical markers of bone resorption as predictors of further occurrence of fractures is based on the hypothesis that women with the highest rate of bone turnover will experience faster loss of bone and will develop subsequent fractures. This was confirmed by prospective studies showing that markers of resorption could predict the risk of hip fractures independently of BMD [18,22]. In this perspective, the optimal marker would be the one offering the best discrimination between osteoporotic subjects and age-matched normal subjects.…”
Section: Discussionmentioning
confidence: 74%
“…These markers have been extensively used for both the assessment of therapeutic efficacy of antiresorptive drugs in osteoporosis and for prediction of fracture risk in postmenopausal women [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. We measured urinary and serum CTx and urinary NTx in a large cohort of untreated, healthy women stratified on the basis of their menopausal status and BMD.…”
Section: Discussionmentioning
confidence: 99%
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“…Biochemical markers of bone turnover have been used for prediction of fracture, by us and by others [9][10][11][12][13][14][15][16][17][18][19]. If baseline levels of these markers would be influenced in either direction by recently or non-recently sustained fracture, such an event would introduce a possible bias, to be controlled for in further studies on prediction of fracture by biochemical markers.…”
Section: Introductionmentioning
confidence: 99%