Literature DB >> 14702510

Validation and comparative evaluation of the osteoporosis self-assessment tool (OST) in a Caucasian population from Belgium.

F Richy1, M Gourlay, P D Ross, S S Sen, L Radican, F De Ceulaer, W Ben Sedrine, O Ethgen, O Bruyere, J-Y Reginster.   

Abstract

BACKGROUND: Risk indices have been developed to identify women at risk of low bone mineral density (BMD) who should undergo BMD testing. AIM: To compare the performance of four risk indices in White ambulatory women in Belgium.
DESIGN: Epidemiological cross-sectional study.
METHODS: Records were analysed for 4035 postmenopausal White women without Paget's disease or advanced osteoarthritis, seen at an out-patient osteoporosis centre between January 1996 and September 1999. Osteoporosis risk index scores were compared to bone density T-scores. The ability of each risk index to identify women with low BMD (T-score < -2.0) or osteoporosis (T < -2.5) was evaluated.
RESULTS: Using an Osteoporosis Self-Assessment Tool (OST) score <2 to recommend DXA referral, sensitivity ranged from 85% at the lumbar spine to 97% at the total hip to detect BMD T-scores of <or= -2.5, and specificity ranged from 34% at the total hip to 37% at the femoral neck and lumbar spine. The negative predictive value was high at all skeletal sites (89-99%), demonstrating the usefulness of the OST to identify patients who have normal BMD and should not receive DXA testing. All risk indices performed similarly, although the OST had somewhat better sensitivity and somewhat lower specificity than the other indices at the cut-offs evaluated. Among the 11-12% of women who were classified as highest risk using OST or the Osteoporosis Index of Risk (OSIRIS), 81-85% had low bone mass and 68-74% had osteoporosis. DISCUSSION: The performance of these risk indices among women in Belgium was similar to that reported earlier for other samples in Asian countries, the US, and the Netherlands. The OST and other risk indices are effective and efficient tools to help target high-risk women for DXA testing.

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Year:  2004        PMID: 14702510     DOI: 10.1093/qjmed/hch002

Source DB:  PubMed          Journal:  QJM        ISSN: 1460-2393


  27 in total

Review 1.  Prescreening tools to determine who needs DXA.

Authors:  Elliott N Schwartz; Dee M Steinberg
Journal:  Curr Osteoporos Rep       Date:  2006-12       Impact factor: 5.096

2.  Use of dental panoramic radiographs in identifying younger postmenopausal women with osteoporosis.

Authors:  Akira Taguchi; Mikio Tsuda; Masahiko Ohtsuka; Ichiro Kodama; Mitsuhiro Sanada; Takashi Nakamoto; Koji Inagaki; Toshihide Noguchi; Yoshiki Kudo; Yoshikazu Suei; Keiji Tanimoto; Anne-Marie Bollen
Journal:  Osteoporos Int       Date:  2005-12-06       Impact factor: 4.507

3.  Canadian Consensus Conference on osteoporosis, 2006 update.

Authors:  Jacques P Brown; Michel Fortier; Heather Frame; André Lalonde; Alexandra Papaioannou; Vyta Senikas; Chui Kin Yuen
Journal:  J Obstet Gynaecol Can       Date:  2006-02

Review 4.  Performance of the Osteoporosis Self-Assessment Tool in ruling out low bone mineral density in postmenopausal women: a systematic review.

Authors:  B Rud; J Hilden; L Hyldstrup; A Hróbjartsson
Journal:  Osteoporos Int       Date:  2007-03-15       Impact factor: 4.507

5.  Computer-aided system for measuring the mandibular cortical width on dental panoramic radiographs in identifying postmenopausal women with low bone mineral density.

Authors:  A Z Arifin; A Asano; A Taguchi; T Nakamoto; M Ohtsuka; M Tsuda; Y Kudo; K Tanimoto
Journal:  Osteoporos Int       Date:  2006-03-22       Impact factor: 4.507

Review 6.  The Osteoporosis Self-Assessment Tool versus alternative tests for selecting postmenopausal women for bone mineral density assessment: a comparative systematic review of accuracy.

Authors:  B Rud; J Hilden; L Hyldstrup; A Hróbjartsson
Journal:  Osteoporos Int       Date:  2008-08-21       Impact factor: 4.507

Review 7.  Systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for osteoporosis or low bone density.

Authors:  S Nayak; D L Edwards; A A Saleh; S L Greenspan
Journal:  Osteoporos Int       Date:  2015-02-03       Impact factor: 4.507

8.  Clinical performance of seven prescreening tools for osteoporosis in Iranian postmenopausal women.

Authors:  Abbas Keshtkar; Omidreza Tabatabaie; Nassim Matin; Zahra Mohammadi; Mehdi Ebrahimi; Patricia Khashayar; Mojgan Asadi
Journal:  Rheumatol Int       Date:  2015-05-17       Impact factor: 2.631

9.  A risk assessment tool (OsteoRisk) for identifying Latin American women with osteoporosis.

Authors:  Shuvayu S Sen; Vincent P Rives; Osvaldo D Messina; Jorge Morales-Torres; Gregorio Riera; Juan M Angulo-Solimano; João F M Neto; Alberto Frisoli; Ricardo C Sáenz; Olga Geling; Philip D Ross
Journal:  J Gen Intern Med       Date:  2005-03       Impact factor: 5.128

10.  An evaluation of osteoporosis screening tools for the osteoporotic fractures in men (MrOS) study.

Authors:  H S Lynn; J Woo; P C Leung; E L Barrett-Connor; M C Nevitt; J A Cauley; R A Adler; E S Orwoll
Journal:  Osteoporos Int       Date:  2008-02-01       Impact factor: 4.507

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