Literature DB >> 26233285

Risk Assessment Tools for Osteoporosis Screening in Postmenopausal Women: A Systematic Review.

Carolyn J Crandall1.   

Abstract

Osteoporotic fractures are common in postmenopausal women. Tools are available to estimate the risk of low bone mineral density (BMD) or fracture. This systematic review retrieved articles that evaluated osteoporosis risk assessment tools among postmenopausal women in North America. For identifying BMD T-score ≤-2.5, most studies of the Simple Calculated Osteoporosis Risk Estimation tool (SCORE) and Osteoporosis Risk Assessment Instrument (ORAI) reported sensitivity ≥90 %. Area under the receiver operating characteristic curve (AUC) was usually <0.75 for SCORE and ≥0.75 for ORAI. Among women 50-64 years old, a Fracture Risk Assessment Tool (FRAX) threshold ≥9.3 % had a sensitivity of 33 % for identifying BMD T-score ≤-2.5 and 26 % for predicting major osteoporotic fracture (MOF). For predicting MOF, sensitivity was higher for SCORE and Osteoporosis Self-assessment Tool equation (OST), and higher in women ≥65 years old. For predicting BMD T-score ≤-2.5 in women ≥65 years old, the sensitivities of SCORE; ORAI; and Age, Body Size, No Estrogen (ABONE) were very high. No optimal osteoporosis risk assessment tool is available for identifying low BMD and MOF risk.

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Year:  2015        PMID: 26233285     DOI: 10.1007/s11914-015-0282-z

Source DB:  PubMed          Journal:  Curr Osteoporos Rep        ISSN: 1544-1873            Impact factor:   5.096


  59 in total

1.  American Association of Clinical Endocrinologists Medical Guidelines for Clinical Practice for the diagnosis and treatment of postmenopausal osteoporosis.

Authors:  Nelson B Watts; John P Bilezikian; Pauline M Camacho; Susan L Greenspan; Steven T Harris; Stephen F Hodgson; Michael Kleerekoper; Marjorie M Luckey; Michael R McClung; Rachel Pessah Pollack; Steven M Petak
Journal:  Endocr Pract       Date:  2010 Nov-Dec       Impact factor: 3.443

2.  Competing mortality and fracture risk assessment.

Authors:  W D Leslie; L M Lix; X Wu
Journal:  Osteoporos Int       Date:  2012-06-27       Impact factor: 4.507

3.  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

4.  An assessment tool for predicting fracture risk in postmenopausal women.

Authors:  D M Black; M Steinbuch; L Palermo; P Dargent-Molina; R Lindsay; M S Hoseyni; O Johnell
Journal:  Osteoporos Int       Date:  2001       Impact factor: 4.507

5.  Fracture prediction and calibration of a Canadian FRAX® tool: a population-based report from CaMos.

Authors:  L-A Fraser; L Langsetmo; C Berger; G Ioannidis; D Goltzman; J D Adachi; A Papaioannou; R Josse; C S Kovacs; W P Olszynski; T Towheed; D A Hanley; S M Kaiser; J Prior; S Jamal; N Kreiger; J P Brown; H Johansson; A Oden; E McCloskey; J A Kanis; W D Leslie
Journal:  Osteoporos Int       Date:  2010-12-16       Impact factor: 4.507

6.  Construction and validation of a simplified fracture risk assessment tool for Canadian women and men: results from the CaMos and Manitoba cohorts.

Authors:  W D Leslie; C Berger; L Langsetmo; L M Lix; J D Adachi; D A Hanley; G Ioannidis; R G Josse; C S Kovacs; T Towheed; S Kaiser; W P Olszynski; J C Prior; S Jamal; N Kreiger; D Goltzman
Journal:  Osteoporos Int       Date:  2010-10-22       Impact factor: 4.507

7.  Fracture risk tool validation in an integrated healthcare delivery system.

Authors:  Joan C Lo; Alice R Pressman; Malini Chandra; Bruce Ettinger
Journal:  Am J Manag Care       Date:  2011-03       Impact factor: 2.229

8.  Simplified system for absolute fracture risk assessment: clinical validation in Canadian women.

Authors:  William D Leslie; James F Tsang; Lisa M Lix
Journal:  J Bone Miner Res       Date:  2009-02       Impact factor: 6.741

9.  Direct comparison of eight national FRAX® tools for fracture prediction and treatment qualification in Canadian women.

Authors:  W D Leslie; S L Brennan; L M Lix; H Johansson; A Oden; E McCloskey; J A Kanis
Journal:  Arch Osteoporos       Date:  2013-08-09       Impact factor: 2.617

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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  12 in total

1.  [Evaluation of screening accuracy on osteoporosis self-assessment tool for Asians and its cut-off value in healthy physical examination population].

Authors:  P Wang; H Wu; Y Che; D W Fan; J Liu; L Y Tao
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-12-18

Review 2.  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

3.  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

4.  Lysine-specific demethylase 1 inhibitor rescues the osteogenic ability of mesenchymal stem cells under osteoporotic conditions by modulating H3K4 methylation.

Authors:  Longwei Lv; Wenshu Ge; Yunsong Liu; Guanyou Lai; Hao Liu; Wenyue Li; Yongsheng Zhou
Journal:  Bone Res       Date:  2016-12-27       Impact factor: 13.567

Review 5.  Qianggu capsule for the treatment of primary osteoporosis: evidence from a Chinese patent medicine.

Authors:  Xu Wei; Aili Xu; Hao Shen; Yanming Xie
Journal:  BMC Complement Altern Med       Date:  2017-02-13       Impact factor: 3.659

6.  Effect of estradiol on high glucose‑induced osteoblast injury.

Authors:  Guangrun Li; Xiaofeng Jiang; Liping Liu; Xiaoyang Liu; Hongtao Liu; Zuofu Zhang
Journal:  Mol Med Rep       Date:  2019-08-06       Impact factor: 2.952

7.  Care of adults with neurofibromatosis type 1: a clinical practice resource of the American College of Medical Genetics and Genomics (ACMG).

Authors:  Douglas R Stewart; Bruce R Korf; Katherine L Nathanson; David A Stevenson; Kaleb Yohay
Journal:  Genet Med       Date:  2018-04-26       Impact factor: 8.822

8.  The Assessment of the Osteoporosis Self-Assessment Tool for Asians and Calcaneal Quantitative Ultrasound in Identifying Osteoporotic Fractures and Falls Among Chinese People.

Authors:  Chao Gao; Huijiang Song; Bihua Chen; Zhenlin Zhang; Hua Yue
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-10       Impact factor: 5.555

9.  Agreement between calcaneal quantitative ultrasound and osteoporosis self-assessment tool for Asians in identifying individuals at risk of osteoporosis.

Authors:  Kok-Yong Chin; Nie Yen Low; Alia Annessa Ain Kamaruddin; Wan Ilma Dewiputri; Ima-Nirwana Soelaiman
Journal:  Ther Clin Risk Manag       Date:  2017-10-06       Impact factor: 2.423

10.  Evaluation of two tools for the early screening of osteoporosis in postmenopausal Chinese women with type 2 diabetes mellitus.

Authors:  Jie-Long Tang; Bing-Bing Pan; Yi Shu; Yan-Fa Gu; Shuai Liu
Journal:  J Int Med Res       Date:  2020-03       Impact factor: 1.671

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