Literature DB >> 16907997

Selecting patients for osteoporosis therapy.

Stuart L Silverman1.   

Abstract

There is a global need to identify individuals at risk for osteoporotic fracture so that those at high risk can be treated and unnecessary treatment for those at low risk can be avoided. Bone mineral density (BMD) information is not sufficient to identify patients at high risk; approximately half of patients in the community with fractures do not have osteoporosis by the 1994 World Health Organization BMD criteria. Furthermore, BMD information is not easily accessible worldwide. The use of clinical risk factors with or without BMD information will improve our ability to identify patients at high risk for fracture. These risk factors can be integrated to predict a 10-year absolute risk or probability of fracture. Intervention thresholds based on absolute risk will be defined regionally based on each nation's ability and willingness to pay.

Entities:  

Mesh:

Year:  2006        PMID: 16907997     DOI: 10.1007/s11914-996-0027-0

Source DB:  PubMed          Journal:  Curr Osteoporos Rep        ISSN: 1544-1873            Impact factor:   5.096


  45 in total

1.  The burden of osteoporotic fractures: a method for setting intervention thresholds.

Authors:  J A Kanis; A Oden; O Johnell; B Jonsson; C de Laet; A Dawson
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

2.  Hip fracture in women without osteoporosis.

Authors:  Stacey A Wainwright; Lynn M Marshall; Kristine E Ensrud; Jane A Cauley; Dennis M Black; Teresa A Hillier; Marc C Hochberg; Molly T Vogt; Eric S Orwoll
Journal:  J Clin Endocrinol Metab       Date:  2005-02-22       Impact factor: 5.958

3.  Risk factors for hip fracture in a Japanese cohort.

Authors:  S Fujiwara; F Kasagi; M Yamada; K Kodama
Journal:  J Bone Miner Res       Date:  1997-07       Impact factor: 6.741

4.  Simple computer model for calculating and reporting 5-year osteoporotic fracture risk in postmenopausal women.

Authors:  Bruce Ettinger; Teresa A Hillier; Alice Pressman; Maggie Che; David A Hanley
Journal:  J Womens Health (Larchmt)       Date:  2005-03       Impact factor: 2.681

5.  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.

Authors:  B Ettinger; D M Black; B H Mitlak; R K Knickerbocker; T Nickelsen; H K Genant; C Christiansen; P D Delmas; J R Zanchetta; J Stakkestad; C C Glüer; K Krueger; F J Cohen; S Eckert; K E Ensrud; L V Avioli; P Lips; S R Cummings
Journal:  JAMA       Date:  1999-08-18       Impact factor: 56.272

6.  Alcohol intake as a risk factor for fracture.

Authors:  John A Kanis; Helena Johansson; Olof Johnell; Anders Oden; Chris De Laet; John A Eisman; Huibert Pols; Alan Tenenhouse
Journal:  Osteoporos Int       Date:  2004-09-29       Impact factor: 4.507

7.  Symptomatic fracture incidence in elderly men and women: the Dubbo Osteoporosis Epidemiology Study (DOES).

Authors:  G Jones; T Nguyen; P N Sambrook; P J Kelly; C Gilbert; J A Eisman
Journal:  Osteoporos Int       Date:  1994-09       Impact factor: 4.507

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

Authors:  Ethel S Siris; Ya-Ting Chen; Thomas A Abbott; Elizabeth Barrett-Connor; Paul D Miller; Lois E Wehren; Marc L Berger
Journal:  Arch Intern Med       Date:  2004-05-24

9.  Relative contributions of bone density, bone turnover, and clinical risk factors to long-term fracture prediction.

Authors:  L Joseph Melton; Cynthia S Crowson; W Michael O'Fallon; Heinz W Wahner; B Lawrence Riggs
Journal:  J Bone Miner Res       Date:  2003-02       Impact factor: 6.741

10.  A family history of fracture and fracture risk: a meta-analysis.

Authors:  J A Kanis; H Johansson; A Oden; O Johnell; C De Laet; J A Eisman; E V McCloskey; D Mellstrom; L J Melton; H A P Pols; J Reeve; A J Silman; A Tenenhouse
Journal:  Bone       Date:  2004-11       Impact factor: 4.398

View more
  5 in total

Review 1.  Shifting the focus in fracture prevention from osteoporosis to falls.

Authors:  Teppo L N Järvinen; Harri Sievänen; Karim M Khan; Ari Heinonen; Pekka Kannus
Journal:  BMJ       Date:  2008-01-19

2.  Validated risk rule using computerized data to identify males at high risk for fracture.

Authors:  J LaFleur; R E Nelson; Y Yao; R A Adler; J R Nebeker
Journal:  Osteoporos Int       Date:  2011-05-12       Impact factor: 4.507

3.  Clinical risk factors for fracture among postmenopausal patients at risk for fracture: a historical cohort study using electronic medical record data.

Authors:  Joanne LaFleur; Carrie McAdam-Marx; Stephen S Alder; Xiaoming Sheng; Carl V Asche; Jonathan Nebeker; Diana I Brixner; Stuart L Silverman
Journal:  J Bone Miner Metab       Date:  2010-08-06       Impact factor: 2.626

Review 4.  Inflammatory bowel diseases as secondary causes of osteoporosis.

Authors:  Charles N Bernstein
Journal:  Curr Osteoporos Rep       Date:  2006-09       Impact factor: 5.096

5.  Do estrogen or selective estrogen receptor modulators improve quality of life for women with postmenopausal osteoporosis?

Authors:  Deborah T Gold; Stuart L Silverman
Journal:  Curr Osteoporos Rep       Date:  2007-03       Impact factor: 5.096

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.