Literature DB >> 21279504

Fracture risk prediction using FRAX®: a 10-year follow-up survey of the Japanese Population-Based Osteoporosis (JPOS) Cohort Study.

J Tamaki1, M Iki, E Kadowaki, Y Sato, E Kajita, S Kagamimori, Y Kagawa, H Yoneshima.   

Abstract

UNLABELLED: We evaluated the predictive ability of FRAX® in a cohort of 815 Japanese women. The observed 10-year fracture rate did not differ significantly from that predicted by FRAX®. The predictive ability of FRAX® without femoral neck bone mineral density (BMD) was similar to that with femoral neck BMD.
INTRODUCTION: We evaluated the ability of the Japanese version of FRAX®, a World Health Organization fracture risk assessment tool, to predict the 10-year probability of osteoporotic fracture.
METHODS: Self-reported major osteoporotic fracture (N = 43) and hip fracture (N = 4) events were ascertained in the 10-year follow-up survey of the Japanese Population-Based Osteoporosis Cohort Study. Participants were 815 women aged 40-74 years at the baseline survey. Receiver operating characteristic curve analysis compared FRAX® with multiple logistic models based on age, body weight, and femoral neck BMD.
RESULTS: The number of observed major osteoporotic or hip fracture events did not differ significantly from the number of events predicted by the FRAX® model (with or without BMD). The area under the curve (AUC) value for FRAX® with BMD for predicting major osteoporotic fractures was similar to that of a logistic model with age, body weight, and BMD (0.69 vs. 0.71, respectively; p = 0.198); the AUC of FRAX® with BMD for predicting hip fractures was similar to that of a model based on age and BMD (0.88 vs. 0.89, respectively; p = 0.164). The AUCs of FRAX® without BMD for predicting major osteoporotic and hip fractures were similar to those with BMD (0.69 vs. 0.67, respectively; p = 0.121; 0.88 vs. 0.86, respectively; p = 0.445).
CONCLUSIONS: The Japanese version of FRAX® without BMD estimated the 10-year probability of osteoporotic fracture in this population with few clinical risk factors as similar to that of FRAX® with BMD.

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Year:  2011        PMID: 21279504     DOI: 10.1007/s00198-011-1537-x

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


  19 in total

1.  Prospective studies of diagnostic test accuracy when disease prevalence is low.

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2.  Biochemical markers of bone turnover predict bone loss in perimenopausal women but not in postmenopausal women-the Japanese Population-based Osteoporosis (JPOS) Cohort Study.

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3.  Validity of self-report of fractures: results from a prospective study in men and women across Europe. EPOS Study Group. European Prospective Osteoporosis Study Group.

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4.  Increasing incidence of hip fracture in Tottori Prefecture, Japan: trend from 1986 to 2001.

Authors:  Hiroshi Hagino; Hiroshi Katagiri; Toru Okano; Kichizo Yamamoto; Ryota Teshima
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5.  Bone mineral density of the spine, hip and distal forearm in representative samples of the Japanese female population: Japanese Population-Based Osteoporosis (JPOS) Study.

Authors:  M Iki; S Kagamimori; Y Kagawa; T Matsuzaki; H Yoneshima; F Marumo
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6.  Morphometric X-ray absorptiometry and morphometric radiography of the spine: a comparison of prevalent vertebral deformity identification.

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7.  Recent trends in the incidence and lifetime risk of hip fracture in Tottori, Japan.

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8.  Fracture prediction from bone mineral density in Japanese men and women.

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9.  The assessment of vertebral deformity: a method for use in population studies and clinical trials.

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10.  Development and application of a Japanese model of the WHO fracture risk assessment tool (FRAX).

Authors:  S Fujiwara; T Nakamura; H Orimo; T Hosoi; I Gorai; A Oden; H Johansson; J A Kanis
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

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  13 in total

Review 1.  Comparison between various fracture risk assessment tools.

Authors:  W D Leslie; L M Lix
Journal:  Osteoporos Int       Date:  2014-01       Impact factor: 4.507

2.  High fracture probability predicts fractures in a 4-year follow-up in women from the RAC-OST-POL study.

Authors:  W Pluskiewicz; P Adamczyk; A Czekajło; W Grzeszczak; B Drozdzowska
Journal:  Osteoporos Int       Date:  2015-07-14       Impact factor: 4.507

Review 3.  Prediction Models for Osteoporotic Fractures Risk: A Systematic Review and Critical Appraisal.

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Review 4.  Performance of risk assessment instruments for predicting osteoporotic fracture risk: a systematic review.

Authors:  S Nayak; D L Edwards; A A Saleh; S L Greenspan
Journal:  Osteoporos Int       Date:  2013-10-09       Impact factor: 4.507

5.  Potential Extensions of the US FRAX Algorithm.

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Journal:  J Osteoporos       Date:  2012-08-15

6.  Low Predictive Value of FRAX Adjusted by Trabecular Bone Score for Osteoporotic Fractures in Korean Women: A Community-Based Cohort Study.

Authors:  Hana Kim; Jung Hee Kim; Min Joo Kim; A Ram Hong; HyungJin Choi; EuJeong Ku; Ji Hyun Lee; Chan Soo Shin; Nam H Cho
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7.  Predicting fracture risk in patients with chronic obstructive pulmonary disease: a UK-based population-based cohort study.

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8.  A FRAX Experience in Korea: Fracture Risk Probabilities with a Country-specific Versus a Surrogate Model.

Authors:  Yong-Ki Min; Dong-Yun Lee; Youn-Soo Park; Young-Wan Moon; Seung-Jae Lim; Young-Kyun Lee; DooSeok Choi; Byung-Koo Yoon
Journal:  J Bone Metab       Date:  2015-08-31

9.  Rationale of the Spanish FRAX model in decision-making for predicting osteoporotic fractures: an update of FRIDEX cohort of Spanish women.

Authors:  Rafael Azagra; Marta Zwart; Gloria Encabo; Amada Aguyé; Juan Carlos Martin-Sánchez; Nuria Puchol-Ruiz; Paula Gabriel-Escoda; Sergio Ortiz-Alinque; Emilio Gené; Milagros Iglesias; David Moriña; Miguel Angel Diaz-Herrera; Mireia Utzet; Josep Maria Manresa
Journal:  BMC Musculoskelet Disord       Date:  2016-06-17       Impact factor: 2.362

10.  Do we need bone mineral density to estimate osteoporotic fracture risk? A 10-year prospective multicentre validation study.

Authors:  Andréa Marques; Raquel Lucas; Eugénia Simões; Suzanne M M Verstappen; Johannes W G Jacobs; Jose A P da Silva
Journal:  RMD Open       Date:  2017-09-26
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