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Update of the Fracture Risk Prediction Tool Frax: A Systematic Review of Potential Cohorts and Analysis Plan Publisher Pubmed



Vandenput L1, 2 ; Johansson H1, 3 ; Mccloskey EV3, 4 ; Liu E1 ; Akesson KE5, 6 ; Anderson FA7 ; Azagra R8, 9, 10 ; Bager CL11 ; Beaudart C12 ; Bischoffferrari HA13, 14 ; Biver E15 ; Bruyere O12 ; Cauley JA16 ; Center JR17, 18, 19 Show All Authors
Authors
  1. Vandenput L1, 2
  2. Johansson H1, 3
  3. Mccloskey EV3, 4
  4. Liu E1
  5. Akesson KE5, 6
  6. Anderson FA7
  7. Azagra R8, 9, 10
  8. Bager CL11
  9. Beaudart C12
  10. Bischoffferrari HA13, 14
  11. Biver E15
  12. Bruyere O12
  13. Cauley JA16
  14. Center JR17, 18, 19
  15. Chapurlat R20
  16. Christiansen C11
  17. Cooper C21, 22, 23
  18. Crandall CJ24
  19. Cummings SR25
  20. Da Silva JAP26, 27
  21. Dawsonhughes B28
  22. Diezperez A29
  23. Dufour AB30, 31
  24. Eisman JA18, 19, 32
  25. Elders PJM33
  26. Ferrari S15
  27. Fujita Y34
  28. Fujiwara S35
  29. Gluer CC36
  30. Goldshtein I37, 38
  31. Goltzman D39
  32. Gudnason V40, 41
  33. Hall J42
  34. Hans D43
  35. Hoff M44, 45
  36. Hollick RJ46
  37. Huisman M47, 48
  38. Iki M34
  39. Ishshalom S49
  40. Jones G50
  41. Karlsson MK5, 51
  42. Khosla S52
  43. Kiel DP30, 31
  44. Koh WP53, 54
  45. Koromani F55, 56
  46. Kotowicz MA57, 58, 59
  47. Kroger H60, 61
  48. Kwok T62, 63
  49. Lamy O64, 65
  50. Langhammer A66
  51. Larijani B67
  52. Lippuner K68
  53. Mellstrom D69, 70
  54. Merlijn T33
  55. Nordstrom A71, 72
  56. Nordstrom P73
  57. Oneill TW74, 75
  58. Obermayerpietsch B76, 77
  59. Ohlsson C2, 78
  60. Orwoll ES79
  61. Pasco JA80, 81, 82, 83
  62. Rivadeneira F55
  63. Schei B84, 85
  64. Schott AM86
  65. Shiroma EJ87
  66. Siggeirsdottir K40, 88
  67. Simonsick EM89
  68. Sornayrendu E90
  69. Sund R61
  70. Swart KMA33
  71. Szulc P20
  72. Tamaki J91
  73. Torgerson DJ92
  74. Van Schoor NM47
  75. Van Staa TP93
  76. Vila J94
  77. Wareham NJ95
  78. Wright NC96
  79. Yoshimura N97
  80. Zillikens MC55
  81. Zwart M98, 99, 100
  82. Harvey NC101, 102
  83. Lorentzon M1, 103, 104
  84. Leslie WD105
  85. Kanis JA1, 3, 106

Source: Osteoporosis International Published:2022


Abstract

Summary: We describe the collection of cohorts together with the analysis plan for an update of the fracture risk prediction tool FRAX with respect to current and novel risk factors. The resource comprises 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. Introduction: The availability of the fracture risk assessment tool FRAX® has substantially enhanced the targeting of treatment to those at high risk of fracture with FRAX now incorporated into more than 100 clinical osteoporosis guidelines worldwide. The aim of this study is to determine whether the current algorithms can be further optimised with respect to current and novel risk factors. Methods: A computerised literature search was performed in PubMed from inception until May 17, 2019, to identify eligible cohorts for updating the FRAX coefficients. Additionally, we searched the abstracts of conference proceedings of the American Society for Bone and Mineral Research, European Calcified Tissue Society and World Congress of Osteoporosis. Prospective cohort studies with data on baseline clinical risk factors and incident fractures were eligible. Results: Of the 836 records retrieved, 53 were selected for full-text assessment after screening on title and abstract. Twelve cohorts were deemed eligible and of these, 4 novel cohorts were identified. These cohorts, together with 60 previously identified cohorts, will provide the resource for constructing an updated version of FRAX comprising 2,138,428 participants with a follow-up of approximately 20 million person-years and 116,117 documented incident major osteoporotic fractures. For each known and candidate risk factor, multivariate hazard functions for hip fracture, major osteoporotic fracture and death will be tested using extended Poisson regression. Sex- and/or ethnicity-specific differences in the weights of the risk factors will be investigated. After meta-analyses of the cohort-specific beta coefficients for each risk factor, models comprising 10-year probability of hip and major osteoporotic fracture, with or without femoral neck bone mineral density, will be computed. Conclusions: These assembled cohorts and described models will provide the framework for an updated FRAX tool enabling enhanced assessment of fracture risk (PROSPERO (CRD42021227266)). © 2022, International Osteoporosis Foundation and National Osteoporosis Foundation.
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