Predicting hip and major osteoporotic fractures using administrative data

Archives of Internal Medicine

Volumn 170, Issue 21, 2010, Pages 1940-1942

  Yun, Huifeng ^a   Delzell, Elizabeth ^a   Ensrud, Kristine E ^c   Kilgore, Meredith L ^a   Becker, David ^a   Morrisey, Michael A ^a   Curtis, Jeffrey R ^b  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b University of Alabama at Birmingham   (United States)

^c VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BONE DENSITY; FRAGILITY FRACTURE; HEALTH INSURANCE; HIP FRACTURE; HUMAN; MEDICARE; PRIORITY JOURNAL; RISK ASSESSMENT; RISK FACTOR;

AFRICAN CONTINENTAL ANCESTRY GROUP; AGED; AGED, 80 AND OVER; COHORT STUDIES; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; HEALTH SURVEYS; HIP FRACTURES; HUMANS; MALE; MEDICARE; MULTIVARIATE ANALYSIS; OSTEOPOROTIC FRACTURES; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; SEX FACTORS; UNITED STATES;

EID: 78649644441     PISSN: 00039926     EISSN: 15383679     Source Type: Journal    
DOI: 10.1001/archinternmed.2010.410     Document Type: Article

References (7)

1. Unnanuntana A, Gladnick BP, Donnelly E, Lane JM. The assessment of fracture risk. J Bone Joint Surg Am. 2010;92(3):743-753.
2. World Health Organization Collaborating Centre for Metabolic Bone Diseases. FRAX WHO Fracture Risk Assessment Tool. http://www.shef.ac.uk /FRAX/tool.jsp?locationValue=9. Accessed Jun 23, 2010.
3. Ensrud KE, Lui LY, Taylor BC, et al; Study of Osteoporotic Fractures Research Group. A comparison of prediction models for fractures in older women: is more better? Arch Intern Med. 2009;169(22):2087-2094.
4. Curtis JR, McClure LA, Delzell E, et al. Population-based fracture risk assessment and osteoporosis treatment disparities by race and gender. J Gen Intern Med. 2009;24(8):956-962.
5. Dawson-Hughes B, Looker AC, Tosteson ANA, Johansson H, Kanis JA, Melton LJ III. The potential impact of new National Osteoporosis Foundation guidance on treatment patterns. Osteoporos Int. 2010;21(1):41-52.
6. An AB. Performing logistic regression on survey data with the new SURVEY-LOGISTIC procedure. Paper presented at: Twenty-seventh Annual SAS User Group International Conference; April 14-17, 2002; Orlando, FL. Paper 258-27.
7. Izrael D, Battaglia AA, Hoaglin DC, Battaglia MP. SAS macros and tools for working with weighted logistic regression models that use survey data. Paper presented at: Twenty-eighth Annual SAS User Group International Conference; March 30-April 2, 2003; Seattle, WA. Paper 275-28.