Literature DB >> 24105431

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

S Nayak1, D L Edwards, A A Saleh, S L Greenspan.   

Abstract

UNLABELLED: We systematically reviewed the literature on the performance of osteoporosis absolute fracture risk assessment instruments. Relatively few studies have evaluated the calibration of instruments in populations separate from their development cohorts, and findings are mixed. Many studies had methodological limitations making susceptibility to bias a concern.
INTRODUCTION: The aim of this study was to systematically review the literature on the performance of osteoporosis clinical fracture risk assessment instruments for predicting absolute fracture risk, or calibration, in populations other than their derivation cohorts.
METHODS: We performed a systematic review, and MEDLINE, Embase, Cochrane Library, and multiple other literature sources were searched. Inclusion and exclusion criteria were applied and data extracted, including information about study participants, study design, potential sources of bias, and predicted and observed fracture probabilities.
RESULTS: A total of 19,949 unique records were identified for review. Fourteen studies met inclusion criteria. There was substantial heterogeneity among included studies. Six studies assessed the WHO's Fracture Risk Assessment (FRAX) instrument in five separate cohorts, and a variety of risk assessment instruments were evaluated in the remainder of the studies. Approximately half found good instrument calibration, with observed fracture probabilities being close to predicted probabilities for different risk categories. Studies that assessed the calibration of FRAX found mixed performance in different populations. A similar proportion of studies that evaluated simple risk assessment instruments (≤5 variables) found good calibration when compared with studies that assessed complex instruments (>5 variables). Many studies had methodological features making them susceptible to bias.
CONCLUSIONS: Few studies have evaluated the performance or calibration of osteoporosis fracture risk assessment instruments in populations separate from their development cohorts. Findings are mixed, and many studies had methodological limitations making susceptibility to bias a possibility, raising concerns about use of these tools outside of the original derivation cohorts. Further studies are needed to assess the calibration of instruments in different populations prior to widespread use.

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Mesh:

Year:  2013        PMID: 24105431      PMCID: PMC3962543          DOI: 10.1007/s00198-013-2504-5

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


  49 in total

1.  A simple score for estimating the long-term risk of fracture in patients using oral glucocorticoids.

Authors:  T-P van Staa; P Geusens; H A P Pols; C de Laet; H G M Leufkens; C Cooper
Journal:  QJM       Date:  2005-03

2.  Ten-year hip fracture incidence rate trends in a large California population, 1997-2006.

Authors:  A L Adams; J Shi; M Takayanagi; R M Dell; T T Funahashi; S J Jacobsen
Journal:  Osteoporos Int       Date:  2012-02-21       Impact factor: 4.507

3.  Can historical and functional risk factors be used to predict fractures in community-dwelling older adults? development and validation of a clinical tool.

Authors:  C S Colón-Emeric; C F Pieper; M B Artz
Journal:  Osteoporos Int       Date:  2002-12       Impact factor: 4.507

4.  Prediction of fracture in nursing home residents.

Authors:  Cynthia J Girman; Julie M Chandler; Sheryl I Zimmerman; Allison R Martin; William Hawkes; J Richard Hebel; Philip D Sloane; Jay Magaziner
Journal:  J Am Geriatr Soc       Date:  2002-08       Impact factor: 5.562

5.  Osteoporosis is markedly underdiagnosed: a nationwide study from Denmark.

Authors:  Peter Vestergaard; Lars Rejnmark; Leif Mosekilde
Journal:  Osteoporos Int       Date:  2004-06-12       Impact factor: 4.507

6.  National trends in osteoporosis visits and osteoporosis treatment, 1988-2003.

Authors:  Randall S Stafford; Rebecca L Drieling; Adam L Hersh
Journal:  Arch Intern Med       Date:  2004-07-26

7.  Hip fracture prediction in elderly men and women: validation in the Rotterdam study.

Authors:  C E De Laet; B A Van Hout; H Burger; A E Weel; A Hofman; H A Pols
Journal:  J Bone Miner Res       Date:  1998-10       Impact factor: 6.741

Review 8.  Osteoporosis: underrated, underdiagnosed and undertreated.

Authors:  Tuan V Nguyen; Jacqueline R Center; John A Eisman
Journal:  Med J Aust       Date:  2004-03-01       Impact factor: 7.738

Review 9.  Osteoporosis: a review.

Authors:  Julie T Lin; Joseph M Lane
Journal:  Clin Orthop Relat Res       Date:  2004-08       Impact factor: 4.176

10.  Pain and disability reported in the year following a distal radius fracture: a cohort study.

Authors:  Joy C MacDermid; James H Roth; Robert S Richards
Journal:  BMC Musculoskelet Disord       Date:  2003-10-31       Impact factor: 2.362

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  16 in total

Review 1.  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

2.  Bone: Which model to predict fracture risk?

Authors:  Roger Bouillon; Dirk Vanderschueren
Journal:  Nat Rev Endocrinol       Date:  2014-02-11       Impact factor: 43.330

3.  Hospitalization in High Fracture Risk Older Adults with Osteoporosis Using the Safe Functional Motion Test: A Longitudinal Analysis.

Authors:  Daniel J Van Dussen; Chris P Recknor; Julie C Recknor
Journal:  Gerontol Geriatr Med       Date:  2021-02-26

Review 4.  On challenges in clinical assessment of hip fracture risk using image-based biomechanical modelling: a critical review.

Authors:  Yunhua Luo
Journal:  J Bone Miner Metab       Date:  2021-01-09       Impact factor: 2.626

5.  COPD as an independent risk factor for osteoporosis and fractures.

Authors:  M G Adas-Okuma; S S Maeda; M R Gazzotti; C M Roco; C O Pradella; O A Nascimento; E F Porto; J G H Vieira; J R Jardim; M Lazaretti-Castro
Journal:  Osteoporos Int       Date:  2019-12-06       Impact factor: 4.507

6.  Comparison of fracture risk prediction by the US Preventive Services Task Force strategy and two alternative strategies in women 50-64 years old in the Women's Health Initiative.

Authors:  Carolyn J Crandall; Joseph C Larson; Nelson B Watts; Margaret L Gourlay; Meghan G Donaldson; Andrea LaCroix; Jane A Cauley; Jean Wactawski-Wende; Margery L Gass; John A Robbins; Kristine E Ensrud
Journal:  J Clin Endocrinol Metab       Date:  2014-12       Impact factor: 5.958

Review 7.  Novel assessment tools for osteoporosis diagnosis and treatment.

Authors:  Bo Gong; Gurjit S Mandair; Felix W Wehrli; Michael D Morris
Journal:  Curr Osteoporos Rep       Date:  2014-09       Impact factor: 5.096

Review 8.  Fragility fracture: recent developments in risk assessment.

Authors:  Terry J Aspray
Journal:  Ther Adv Musculoskelet Dis       Date:  2015-02       Impact factor: 5.346

9.  External validation of the Garvan nomograms for predicting absolute fracture risk: the Tromsø study.

Authors:  Luai A Ahmed; Nguyen D Nguyen; Åshild Bjørnerem; Ragnar M Joakimsen; Lone Jørgensen; Jan Størmer; Dana Bliuc; Jacqueline R Center; John A Eisman; Tuan V Nguyen; Nina Emaus
Journal:  PLoS One       Date:  2014-09-25       Impact factor: 3.240

10.  Analysis of fracture healing in osteopenic bone caused by disuse: experimental study.

Authors:  A G Paiva; G R Yanagihara; A P Macedo; J Ramos; J P M Issa; A C Shimano
Journal:  Braz J Med Biol Res       Date:  2016-02-02       Impact factor: 2.590

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