Literature DB >> 25644147

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

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

Abstract

UNLABELLED: We performed a systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for DXA-determined osteoporosis or low bone density. Commonly evaluated risk instruments showed high sensitivity approaching or exceeding 90% at particular thresholds within various populations but low specificity at thresholds required for high sensitivity. Simpler instruments, such as OST, generally performed as well as or better than more complex instruments.
INTRODUCTION: The purpose of the study is to systematically review the performance of clinical risk assessment instruments for screening for dual-energy X-ray absorptiometry (DXA)-determined osteoporosis or low bone density.
METHODS: Systematic review and meta-analysis were performed. Multiple literature sources were searched, and data extracted and analyzed from included references.
RESULTS: One hundred eight references met inclusion criteria. Studies assessed many instruments in 34 countries, most commonly the Osteoporosis Self-Assessment Tool (OST), the Simple Calculated Osteoporosis Risk Estimation (SCORE) instrument, the Osteoporosis Self-Assessment Tool for Asians (OSTA), the Osteoporosis Risk Assessment Instrument (ORAI), and body weight criteria. Meta-analyses of studies evaluating OST using a cutoff threshold of <1 to identify US postmenopausal women with osteoporosis at the femoral neck provided summary sensitivity and specificity estimates of 89% (95%CI 82-96%) and 41% (95%CI 23-59%), respectively. Meta-analyses of studies evaluating OST using a cutoff threshold of 3 to identify US men with osteoporosis at the femoral neck, total hip, or lumbar spine provided summary sensitivity and specificity estimates of 88% (95%CI 79-97%) and 55% (95%CI 42-68%), respectively. Frequently evaluated instruments each had thresholds and populations for which sensitivity for osteoporosis or low bone mass detection approached or exceeded 90% but always with a trade-off of relatively low specificity.
CONCLUSIONS: Commonly evaluated clinical risk assessment instruments each showed high sensitivity approaching or exceeding 90% for identifying individuals with DXA-determined osteoporosis or low BMD at certain thresholds in different populations but low specificity at thresholds required for high sensitivity. Simpler instruments, such as OST, generally performed as well as or better than more complex instruments.

Entities:  

Mesh:

Year:  2015        PMID: 25644147      PMCID: PMC4401628          DOI: 10.1007/s00198-015-3025-1

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


  90 in total

Review 1.  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

2.  FRAX without bone mineral density versus osteoporosis self-assessment screening tool as predictors of osteoporosis in primary screening of individuals aged 70 and older.

Authors:  Wee Yang Pang; Charles A Inderjeeth
Journal:  J Am Geriatr Soc       Date:  2014-03-11       Impact factor: 5.562

3.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

Review 4.  A review of osteoporosis diagnosis and treatment options in new and recently updated guidelines on case finding around the world.

Authors:  William D Leslie; John T Schousboe
Journal:  Curr Osteoporos Rep       Date:  2011-09       Impact factor: 5.096

5.  An assessment of the new "SCORE" index as a predictor of osteoporosis in women.

Authors:  A S Russell; R T Morrison
Journal:  Scand J Rheumatol       Date:  2001       Impact factor: 3.641

6.  Performance of risk indices for identifying low bone mineral density and osteoporosis in Mexican Mestizo women with rheumatoid arthritis.

Authors:  Laura Gonzalez-Lopez; Jorge I Gamez-Nava; Anahi Vega-Lopez; N Alejandra Rodriguez-Jimenez; Norma Gonzalez-Montoya; Erika Aguilar-Chavez; M Fabiola Alcaraz-Lopez; Alberto D Rocha-Muñoz; Natasha Castro-Lizano; Jaime Morales-Romero; Mario Salazar-Paramo; Maria E Suarez-Almazor
Journal:  J Rheumatol       Date:  2011-12-15       Impact factor: 4.666

7.  Dual-energy X-ray absorptiometry and evaluation of the osteoporosis self-assessment tool in men with rheumatoid arthritis.

Authors:  J Steuart Richards; Justin Peng; Richard L Amdur; Ted R Mikuls; Roderick S Hooker; Kaleb Michaud; Andreas M Reimold; Grant W Cannon; Liron Caplan; Dannette Johnson; Anne E Hines; Gail S Kerr
Journal:  J Clin Densitom       Date:  2009-09-23       Impact factor: 2.617

8.  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

9.  The relationship of an Asian-specific screening tool for osteoporosis to vertebral deformity and osteoporosis.

Authors:  Sunee Saetung; Boonsong Ongphiphadhanakul; Rajata Rajatanavin
Journal:  J Bone Miner Metab       Date:  2008-01-10       Impact factor: 2.626

10.  Selection of women aged 50-64 yr for bone density measurement.

Authors:  William D Leslie; Lisa M Lix; Helena Johansson; Anders Oden; Eugene McCloskey; John A Kanis
Journal:  J Clin Densitom       Date:  2013-02-26       Impact factor: 2.617

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  23 in total

1.  Who should receive bone mineral density testing?

Authors:  Christina Korownyk; James McCormack; G Michael Allan
Journal:  Can Fam Physician       Date:  2015-07       Impact factor: 3.275

Review 2.  Brain to bone: What is the contribution of the brain to skeletal homeostasis?

Authors:  Anna Idelevich; Roland Baron
Journal:  Bone       Date:  2018-05-16       Impact factor: 4.398

3.  Cost-Effectiveness of Osteoporosis Screening Strategies for Men.

Authors:  Smita Nayak; Susan L Greenspan
Journal:  J Bone Miner Res       Date:  2016-02-10       Impact factor: 6.741

4.  A comparison of electronic and manual fracture risk assessment tools in screening elderly male US veterans at risk for osteoporosis.

Authors:  S T Williams; P T Lawrence; K L Miller; J L Crook; J LaFleur; G W Cannon; R E Nelson
Journal:  Osteoporos Int       Date:  2017-07-30       Impact factor: 4.507

Review 5.  How Research on Human Progeroid and Antigeroid Syndromes Can Contribute to the Longevity Dividend Initiative.

Authors:  Fuki M Hisama; Junko Oshima; George M Martin
Journal:  Cold Spring Harb Perspect Med       Date:  2016-04-01       Impact factor: 6.915

6.  Screening for Osteoporosis in Older Men: Operating Characteristics of Proposed Strategies for Selecting Men for BMD Testing.

Authors:  Susan J Diem; Katherine W Peters; Margaret L Gourlay; John T Schousboe; Brent C Taylor; Eric S Orwoll; Jane A Cauley; Lisa Langsetmo; Carolyn J Crandall; Kristine E Ensrud
Journal:  J Gen Intern Med       Date:  2017-08-16       Impact factor: 5.128

7.  Validity of Knee-Estimated Height to Assess Standing Height in Older Adults: A Secondary Longitudinal Analysis of the Mexican Health and Aging Study.

Authors:  C García-Peña; M U Pérez-Zepeda
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

8.  Complex interventions can increase osteoporosis investigations and treatment: a systematic review and meta-analysis.

Authors:  M Kastner; L Perrier; S E P Munce; C C Adhihetty; A Lau; J Hamid; V Treister; J Chan; Y Lai; S E Straus
Journal:  Osteoporos Int       Date:  2017-10-18       Impact factor: 4.507

Review 9.  A systematic review of intervention thresholds based on FRAX : A report prepared for the National Osteoporosis Guideline Group and the International Osteoporosis Foundation.

Authors:  John A Kanis; Nicholas C Harvey; Cyrus Cooper; Helena Johansson; Anders Odén; Eugene V McCloskey
Journal:  Arch Osteoporos       Date:  2016-07-27       Impact factor: 2.617

10.  Comparison of fracture risk assessment tools in older men without prior hip or spine fracture: the MrOS study.

Authors:  Margaret L Gourlay; Victor S Ritter; Jason P Fine; Robert A Overman; John T Schousboe; Peggy M Cawthon; Eric S Orwoll; Tuan V Nguyen; Nancy E Lane; Steven R Cummings; Deborah M Kado; Jodi A Lapidus; Susan J Diem; Kristine E Ensrud
Journal:  Arch Osteoporos       Date:  2017-10-20       Impact factor: 2.617

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