Literature DB >> 1421797

Fracture risk as determined by prospective and retrospective study designs.

M R Stegman1, R R Recker, K M Davies, R A Ryan, R P Heaney.   

Abstract

Both retrospectively and prospectively designed studies consistently show low bone mass and/or bone mineral content (BMC) to be risk factor for low-trauma fractures in postmenopausal women. Along with the reports of such studies there has been concern expressed that BMC measurements overlap between fracture groups, i.e., some women with high BMC develop fractures and some women with low BMC do not. In these commonly used epidemiologic study designs, BMC does not discriminate between those who have and have not experienced the untoward event at some level of the exposure factor. The ability to discriminate is more properly determined by the sensitivity and specificity of the measured value. To contrast the concepts of risk and sensitivity, a nested case-control study was conducted within a 24-year cohort study of women at risk for osteoporosis. We found that for each 1.0 decrement of BMC z-scores, the adjusted relative risk for the prospective study design was 1.67, while the odds ratio obtained from the most recent BMC z-score measurements was 1.87. A receiver operating characteristic (ROC) curve, calculated from the nested case-control study data, showed that BMC z-scores, measured after low-trauma fracture, have both low sensitivity and low specificity to detect existing fracture status.

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Year:  1992        PMID: 1421797     DOI: 10.1007/bf01623185

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


  42 in total

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Journal:  Calcif Tissue Int       Date:  1987-10       Impact factor: 4.333

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Journal:  Clin Orthop Relat Res       Date:  1982-06       Impact factor: 4.176

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Authors:  S R Cummings; M C Nevitt
Journal:  J Gerontol       Date:  1989-07

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Journal:  J Bone Joint Surg Am       Date:  1976-03       Impact factor: 5.284

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Journal:  J Clin Invest       Date:  1975-08       Impact factor: 14.808

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Journal:  Clin Orthop Relat Res       Date:  1983-10       Impact factor: 4.176

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Journal:  J Clin Invest       Date:  1982-10       Impact factor: 14.808

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Authors:  C E Cann; H K Genant; F O Kolb; B Ettinger
Journal:  Bone       Date:  1985       Impact factor: 4.398

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Authors:  P D Ross; R D Wasnich; J M Vogel
Journal:  J Bone Miner Res       Date:  1988-02       Impact factor: 6.741

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  5 in total

Review 1.  Is there a role for bone quality in fragility fractures?

Authors:  R P Heaney
Journal:  Calcif Tissue Int       Date:  1993       Impact factor: 4.333

2.  Ten-year probabilities of clinical vertebral fractures according to phalangeal quantitative ultrasonography.

Authors:  J A Kanis; O Johnell; A Oden; C De Laet; F de Terlizzi
Journal:  Osteoporos Int       Date:  2004-12-07       Impact factor: 4.507

3.  The discriminative ability of peripheral and axial bone measurements to identify proximal femoral, vertebral, distal forearm and proximal humeral fractures: a case control study.

Authors:  Jackie A Clowes; Richard Eastell; Nicola F A Peel
Journal:  Osteoporos Int       Date:  2005-06-10       Impact factor: 4.507

4.  Monofluorophosphate increases lumbar bone density in osteopenic patients: a double-masked randomized study.

Authors:  J L Sebert; P Richard; I Mennecier; J P Bisset; G Loeb
Journal:  Osteoporos Int       Date:  1995-03       Impact factor: 4.507

5.  Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures.

Authors:  D Marshall; O Johnell; H Wedel
Journal:  BMJ       Date:  1996-05-18
  5 in total

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