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

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An Erratum to this article was published on 30 June 2007

Abstract

Summary

The Osteoporosis Self-Assessment Tool (OST) is a simple test that may be of clinical value to rule-out low bone mineral density. We performed a systematic review to assess its performance in postmenopausal women. We included 36 studies. OST performed moderately in ruling-out femoral neck T-score ≤ −2.5, but poorly in ruling-out lumbar spine T-score ≤ −2.5. Methodological study quality was generally low.

Introduction

The Osteoporosis Self-Assessment Tool (OST) is a simple clinical decision rule based on age and weight that may be of clinical value to rule-out low bone mineral density (BMD). Our aim was to systematically assess the performance of OST in postmenopausal women.

Methods

We searched PubMed, Embase, Web of Science, citation lists and conference proceedings for studies evaluating OST using dual X-ray absorptiometry (DXA) as reference test to measure BMD. We evaluated methodological quality using the QUADAS checklist. Our main outcome was the likelihood ratio of a negative OST result (LR-).

Results

OST performed moderately in ruling-out femoral neck T-score ≤ −2.5 in whites, summary LR- (sLR-) 0.19 (95% CI, 0.17–0.21) and between-study heterogeneity was low (I 2 = 7%). The corresponding performance in Asians was similar, sLR- 0.19 (0.14–0.28), but there was considerable heterogeneity (I 2 = 64%). OST performed poorly in ruling-out lumbar spine T-score ≤ −2.5 in whites and Asians, sLR- 0.43 (0.31–0.59) and 0.32 (0.28–0.38), respectively. The performance in ruling-out T-score ≤ −2.0 in whites was poor regardless of region (sLR- ≥0.28). Methodological study quality was generally low.

Conclusions

The clinical usefulness of OST is uncertain. OST could be useful for ruling-out femoral neck T-score ≤ −2.5, but confirmatory high-quality studies are needed.

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References

  1. Black DM, Thompson DE, Bauer DC et al (2000) Fracture risk reduction with alendronate in women with osteoporosis: the Fracture Intervention Trial. J Clin Endocrinol Metab 85:4118–4124

    Article  PubMed  CAS  Google Scholar 

  2. Chesnut III CH, Skag A, Christiansen C et al (2004) Effects of oral ibandronate administered daily or intermittently on fracture risk in postmenopausal osteoporosis. J Bone Miner Res 19:1241–1249

    Article  CAS  Google Scholar 

  3. Ettinger B, Black DM, Mitlak BH et al (1999) Reduction of vertebral fracture risk in postmenopausal women with osteoporosis treated with raloxifene: results from a 3-year randomized clinical trial. JAMA 282:637–645

    Article  PubMed  CAS  Google Scholar 

  4. Harris ST, Watts NB, Genant HK et al (1999) Effects of risedronate treatment on vertebral and nonvertebral fractures in women with postmenopausal osteoporosis: a randomized controlled trial. JAMA 282:1344–1352

    Article  PubMed  CAS  Google Scholar 

  5. McClung MR, Geusens P, Miller PD et al (2001) Effect of risedronate on the risk of hip fracture in elderly women. N Engl J Med 344:333–340

    Article  PubMed  CAS  Google Scholar 

  6. Reginster JY, Seeman E, De Vernejoul MC et al (2005) Strontium ranelate reduces the risk of nonvertebral fractures in postmenopausal women with osteoporosis. J Clin Endocrinol Metab 90:2816–2822

    Article  PubMed  CAS  Google Scholar 

  7. Kanis JA (2002) Diagnosis of osteoporosis and assessment of fracture risk. Lancet 359:1929–1936

    Article  PubMed  Google Scholar 

  8. Nelson HD, Helfand M, Woolf SH et al (2002) Screening for postmenopausal osteoporosis: a review of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med 137:529–541

    PubMed  Google Scholar 

  9. Morris CA, Cabral D, Cheng H et al (2004) Patterns of bone mineral testing. Current guidelines, testing rates, and interventions. J Gen Intern Med 19:783–790

    Article  PubMed  Google Scholar 

  10. Cummings SR, Melton LJ (2002) Epidemiology and outcomes of osteoporotic fractures. Lancet 359:1761–1767

    Article  PubMed  Google Scholar 

  11. Cadarette SM, Jaglal SB, Kreiger N et al (2000) Development and validation of the Osteoporosis Risk Assessment Instrument to facilitate selection of women for bone densitometry. CMAJ 162:1289–1294

    PubMed  CAS  Google Scholar 

  12. Koh LK, Sedrine WB, Torralba TP et al (2001) A simple tool to identify Asian women at increased risk of osteoporosis. Osteoporos Int 12:699–705

    Article  PubMed  CAS  Google Scholar 

  13. Lydick E, Cook K, Turpin J et al (1998) Development and validation of a simple questionnaire to facilitate identification of women likely to have low bone density. Am J Manag Care 4:37–48

    PubMed  CAS  Google Scholar 

  14. Sedrine WB, Chevallier T, Zegels B et al (2002) Development and assessment of the Osteoporosis Index of Risk (OSIRIS) to facilitate selection of women for bone densitometry. Gynecol Endocrinol 16:245–250

    Article  PubMed  CAS  Google Scholar 

  15. Sen SS, Rives VP, Messina OD, Morales-Torres J et al (2005) A risk assessment tool (OsteoRisk) for identifying Latin American women with osteoporosis. J Gen Intern Med 20:245–250

    Article  PubMed  Google Scholar 

  16. Cummings SR, Bates D, Black DM (2002) Clinical use of bone densitometry: scientific review. JAMA 288:1889–1897

    Article  PubMed  Google Scholar 

  17. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Report of a WHO study group. WHO technical report series 843. Geneva. 1994

  18. Whiting P, Rutjes AW, Reitsma JB et al (2003) The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol 3:25

    Article  PubMed  Google Scholar 

  19. Jaeschke R, Guyatt GH, Sackett DL (1994) Users’ guides to the medical literature III. How to use an article about a diagnostic test. B: What are the results and will they help me in caring for my patients? JAMA 271:703–707

    Article  PubMed  CAS  Google Scholar 

  20. Deeks JJ, Altman DG (2004) Diagnostic tests 4: likelihood ratios. BMJ 329:168–169

    Article  PubMed  Google Scholar 

  21. DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7:177–188

    Article  PubMed  CAS  Google Scholar 

  22. Devillé WL, Buntinx F. Guidelines for conducting systematic reviews of studies evaluating the accuracy of diagnostic tests. In: Knottnerus A (ed) The Evidence Base of Clinical Diagnosis. 1st ed. London: BMJ Books; 2002:145–165

  23. Higgins JP, Thompson SG, Deeks JJ et al (2003) Measuring inconsistency in meta-analyses. BMJ 327:557–560

    Article  PubMed  Google Scholar 

  24. Thompson SG, Sharp SJ (1999) Explaining heterogeneity in meta-analysis: a comparison of methods. Stat Med 18:2693–2708

    Article  PubMed  CAS  Google Scholar 

  25. Higgins JP, Thompson SG (2004) Controlling the risk of spurious findings from meta-regression. Stat Med 23:1663–1682

    Article  PubMed  Google Scholar 

  26. Deeks JJ, Macaskill P, Irwig L (2005) The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed. J Clin Epidemiol 58:882–893

    Article  PubMed  Google Scholar 

  27. Glas AS, Lijmer JG, Prins MH et al (2003) The diagnostic odds ratio: a single indicator of test performance. J Clin Epidemiol 56:1129–1135

    Article  PubMed  Google Scholar 

  28. Moses LE, Shapiro D, Littenberg B (1993) Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations. Stat Med 12:1293–1316

    PubMed  CAS  Google Scholar 

  29. Richy F, Deceulaer F, Ethgen O et al (2004) Development and validation of the ORACLE score to predict risk of osteoporosis. Mayo Clin Proc 79:1402–1408

    PubMed  Google Scholar 

  30. Cho J-J (2005) Evaluation of two screening decision rules for osteoporosis of menopause or perimenopause women in Korea [Abstract]. Osteoporos Int 13(Suppl 3):S68

    Google Scholar 

  31. Nguyen TV, Center JR, Pocock NA et al (2004) Limited utility of clinical indices for the prediction of symptomatic fracture risk in postmenopausal women. Osteoporos Int 15:49–55

    Article  PubMed  Google Scholar 

  32. Lu CY, Cai YH, Wei SQ (2005) Concordance rate of Osteoporosis Self-Assessment Tool for Asians and dual energy X-ray absorptiometry in diagnosis of osteoporosis [Abstract]. Osteoporos Int 16(Suppl 3):S39

    Google Scholar 

  33. Wallace LS, Ballard JE, Holiday D et al (2004) Evaluation of decision rules for identifying low bone density in postmenopausal African-American women. J Natl Med Assoc 96:290–296

    PubMed  Google Scholar 

  34. Sen SS, Geling O, Ross PD et al (2002) Validating the Osteoporosis Self-Assessment Tool in New Zealand [Abstract]. Osteoporos Int 13(Suppl 3):S38

    Google Scholar 

  35. Cook RB, Collins D, Tucker J et al (2005) Comparison of questionnaire and quantitative ultrasound techniques as screening tools for DXA. Osteoporos Int 16:1565–1575

    Article  PubMed  CAS  Google Scholar 

  36. Pongchaiyakul C, Nguyen ND, Pongchaiyakul C et al (2004) Development and validation of a new clinical risk index for prediction of osteoporosis in Thai women. J Med Assoc Thai 87:910–916

    PubMed  Google Scholar 

  37. Ongphiphadhanakul B, Chanprasertyothin S, Payattikul P et al (2003) The implication of assessing a polymorphism in estrogen receptor alpha gene in the risk assessment of osteoporosis using a screening tool for osteoporosis in Asians. Osteoporos Int 14:863–867

    Article  PubMed  CAS  Google Scholar 

  38. Mossman EA, Luckey M, McClung MR (2003) The Osteoporosis Self-Assessment Tool (OST) performs differently in younger versus older postmenopausal women [Abstract]. J Bone Miner Res 18(Suppl 2):S358

    Google Scholar 

  39. Gourlay ML, Miller WC, Richy F et al (2005) Performance of osteoporosis risk assessment tools in postmenopausal women aged 45–64 years. Osteoporos Int 16:921–927

    Article  PubMed  Google Scholar 

  40. Cadarette SM, Jaglal SB, Murray et al (2001) Evaluation of decision rules for referring women for bone densitometry by dual-energy X-ray absorptiometry. JAMA 286:57–63

    Article  PubMed  CAS  Google Scholar 

  41. Fujiwara S, Masunari N, Suzuki G et al (2001) Performance of osteoporosis risk indices in a Japanese population. Ther Res Clin Exp 62:586–594

    Article  Google Scholar 

  42. Geusens P, Hochberg MC, van der Voort DJ et al (2002) Performance of risk indices for identifying low bone density in postmenopausal women. Mayo Clin Proc 77:629–637

    Article  PubMed  Google Scholar 

  43. Richy F, Gourlay M, Ross PD et al (2004) Validation and comparative evaluation of the osteoporosis self-assessment tool (OST) in a Caucasian population from Belgium. QJM 97:39–46

    Article  PubMed  CAS  Google Scholar 

  44. Rud B, Jensen JE, Mosekilde L et al (2005) Performance of four clinical screening tools to select peri- and early postmenopausal women for dual X-ray absorptiometry. Osteoporos Int 16:764–772

    Article  PubMed  CAS  Google Scholar 

  45. Moons KG, Grobbee DE et al (2002) When should we remain blind and when should our eyes remain open in diagnostic studies? J Clin Epidemiol 55:633–636

    Article  PubMed  Google Scholar 

  46. Rutjes AWS, Reitsma JB, Di Nisio M et al (2006) Evidence of bias and variation in diagnostic accuracy studies. CMJ 174. DOI 10.1503/cmaj.050090

  47. Whiting PF, Westwood ME, Rutjes AW et al (2006) Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies. BMC Med Res Methodol 6:9

    Article  PubMed  Google Scholar 

  48. Kanis JA, Seeman E, Johnell O et al (2005) The perspective of the international osteoporosis foundation on the official positions of the international society for clinical densitometry. J Clin Densitom 8:145–147

    Article  PubMed  Google Scholar 

  49. http://www.nof.org/physguide/diagnosis.htm. Accessed on 30-Oct-2006

  50. Kanis JA, Delmas P, Burckhardt P et al (1997) Guidelines for diagnosis and management of osteoporosis. The European Foundation for Osteoporosis and Bone Disease. Osteoporos Int 7:390–406

    Article  PubMed  CAS  Google Scholar 

  51. Neer RM, Arnaud CD, Zanchetta JR et al (2001) Effect of parathyroid hormone (1–34) on fractures and bone mineral density in postmenopausal women with osteoporosis. N Engl J Med 344:1434–1441

    Article  PubMed  CAS  Google Scholar 

  52. Lijmer JG, Mol BW, Heisterkamp S et al (1999) Empirical evidence of design-related bias in studies of diagnostic tests. JAMA 282:1061–1066

    Article  PubMed  CAS  Google Scholar 

  53. Gaugris S, Tenenhouse A, Desjardin B et al (2005) Validating the Osteoporosis Self-Assessment Tool (OST) in Canada [Abstract]. Osteoporos Int 16(Suppl 3):S18

    Google Scholar 

  54. Siew-Leng L, Pui-San W, Shamal DD (2005) Assessment of osteoporosis risk in postmenopausal women in Singapore [Abstract]. J Clin Densitom 8:237

    Google Scholar 

  55. Cadarette SM, McIsaac WJ, Hawker GA et al (2004) The validity of decision rules for selecting women with primary osteoporosis for bone mineral density testing. Osteoporos Int 15:361–366

    Article  PubMed  Google Scholar 

  56. Choi H, Park YJ, Lee CM et al (2004) The validation and comparisional study of several risk indices for prediction of osteoporosis in peri- and postmenopausal Korean women [Abstract]. Osteoporos Int 15(Suppl 1):S27

    Google Scholar 

  57. Gambacciani M, Genazzani AR (2004) Osteoporosis screening: comparison of the heel ultrasound measurement to calculated risk assessment tools [Abstract]. Osteoporos Int 15(Suppl 1):S36

    Google Scholar 

  58. Geater S, Leelawattana R, Geater A (2004) Validation of the OSTA index for discriminating between high and low probability of femoral neck and lumbar spine osteoporosis among Thai postmenopausal women. J Med Assoc Thai 87:1286–1292

    PubMed  Google Scholar 

  59. Mossman EA, DeFrancisco T-score, Strot S et al (2004) OST versus weight alone in groups defined by clinical guidelines [Abstract]. J Clin Densitom 7:234

    Google Scholar 

  60. Poriau S, Geusens P, Van den Bosch F et al (2004) Osteoporosis screening: comparison of heel ultrasound measurement to calculated risk assessment tools (OST) [Abstract]. J Bone Miner Res 20(Suppl 2):S378

    Google Scholar 

  61. Taguchi A, Suei Y, Sanada M et al (2004) Validation of dental panoramic radiography measures for identifying postmenopausal women with spinal osteoporosis. Am J Roentgenol 183:1755–1760

    Google Scholar 

  62. Chan SP, Yeap SS, Hew FL et al (2003) The Osteoporosis Self-Assessment Tool For Asians (OSTA): Validation in Malaysia [Abstract]. Bone 32(Suppl 5):S176

    Google Scholar 

  63. Kung AW, Ho AY, Sedrine WB et al (2003) Comparison of a simple clinical risk index and quantitative bone ultrasound for identifying women at increased risk of osteoporosis. Osteoporos Int 14:716–21

    Article  PubMed  Google Scholar 

  64. Lesnyak Y, Ershova O, Menshikova L et al (2003) Performance of the Osteoporosis Risk Assessment tool (OST) in Russian women [Abstract]. Osteoporos Int 14(Suppl 7):S53

    Google Scholar 

  65. Mellström D, Rubinsky S, Waern E et al (2003) Validating The Osteoporosis Self-Assessment Tool (OST) in Sweden [Abstract]. Osteoporos Int 14(Suppl 7):S80

    Google Scholar 

  66. Park HM, Sedrine WB, Reginster JY et al (2003) Korean experience with the OSTA risk index for osteoporosis: a validation study. J Clin Densitom 6:247–250

    Article  PubMed  CAS  Google Scholar 

  67. Koh LKH (2002) Identifying osteoporosis in a cohort of Singapore women using as simple clinical tool. Osteoporos Int 13(Suppl 1):S116

    Google Scholar 

  68. Ben Sedrine W, Huang Q-R, Reginster J-Y (2001) Using the OSTA index to identify women at increased risk of osteoporosis: a validation study in China. Arth Rheum 44(9 Suppl):S258

    Google Scholar 

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Acknowledgements

We wish to thank the authors of studies included in the review who replied to our request for additional information.

Funding

The funding sources, Copenhagen Hospital Cooperation and University of Copenhagen, had no role in the study.

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Correspondence to B. Rud.

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An erratum to this article can be found at http://dx.doi.org/10.1007/s00198-007-0420-2

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Rud, B., Hilden, J., Hyldstrup, L. et al. Performance of the Osteoporosis Self-Assessment Tool in ruling out low bone mineral density in postmenopausal women: a systematic review. Osteoporos Int 18, 1177–1187 (2007). https://doi.org/10.1007/s00198-006-0319-3

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