Literature DB >> 35639106

Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan.

L Vandenput1,2, H Johansson1,3, E V McCloskey3,4, E Liu1, K E Åkesson5,6, F A Anderson7, R Azagra8,9,10, C L Bager11, C Beaudart12, H A Bischoff-Ferrari13,14, E Biver15, O Bruyère12, J A Cauley16, J R Center17,18,19, R Chapurlat20, C Christiansen11, C Cooper21,22,23, C J Crandall24, S R Cummings25, J A P da Silva26,27, B Dawson-Hughes28, A Diez-Perez29, A B Dufour30,31, J A Eisman18,19,32, P J M Elders33, S Ferrari15, Y Fujita34, S Fujiwara35, C-C Glüer36, I Goldshtein37,38, D Goltzman39, V Gudnason40,41, J Hall42, D Hans43, M Hoff44,45, R J Hollick46, M Huisman47,48, M Iki34, S Ish-Shalom49, G Jones50, M K Karlsson5,51, S Khosla52, D P Kiel30,31, W-P Koh53,54, F Koromani55,56, M A Kotowicz57,58,59, H Kröger60,61, T Kwok62,63, O Lamy64,65, A Langhammer66, B Larijani67, K Lippuner68, D Mellström69,70, T Merlijn33, A Nordström71,72, P Nordström73, T W O'Neill74,75, B Obermayer-Pietsch76,77, C Ohlsson2,78, E S Orwoll79, J A Pasco80,81,82,83, F Rivadeneira55, B Schei84,85, A-M Schott86, E J Shiroma87, K Siggeirsdottir40,88, E M Simonsick89, E Sornay-Rendu90, R Sund61, K M A Swart33, P Szulc20, J Tamaki91, D J Torgerson92, N M van Schoor47, T P van Staa93, J Vila94, N J Wareham95, N C Wright96, N Yoshimura97, M C Zillikens55, M Zwart98,99,100, N C Harvey101,102, M Lorentzon1,103,104, W D Leslie105, J A Kanis106,107,108.   

Abstract

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.

Entities:  

Keywords:  Epidemiology; FRAX; Fracture probability; Hip fracture; Major osteoporotic fracture; Risk assessment

Mesh:

Year:  2022        PMID: 35639106     DOI: 10.1007/s00198-022-06435-6

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   5.071


  158 in total

1.  Increasing sex difference in bone strength in old age: The Age, Gene/Environment Susceptibility-Reykjavik study (AGES-REYKJAVIK).

Authors:  Gunnar Sigurdsson; Thor Aspelund; Milan Chang; Birna Jonsdottir; Sigurdur Sigurdsson; Gudny Eiriksdottir; Adalsteinn Gudmundsson; Tamara B Harris; Vilmundur Gudnason; Thomas F Lang
Journal:  Bone       Date:  2006-06-21       Impact factor: 4.398

2.  Risk factors for hip fracture in a Japanese cohort.

Authors:  S Fujiwara; F Kasagi; M Yamada; K Kodama
Journal:  J Bone Miner Res       Date:  1997-07       Impact factor: 6.741

Review 3.  A decade of FRAX: how has it changed the management of osteoporosis?

Authors:  John A Kanis; Nicholas C Harvey; Helena Johansson; Enwu Liu; Liesbeth Vandenput; Mattias Lorentzon; William D Leslie; Eugene V McCloskey
Journal:  Aging Clin Exp Res       Date:  2020-02-11       Impact factor: 3.636

4.  Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics.

Authors:  Tamara B Harris; Lenore J Launer; Gudny Eiriksdottir; Olafur Kjartansson; Palmi V Jonsson; Gunnar Sigurdsson; Gudmundur Thorgeirsson; Thor Aspelund; Melissa E Garcia; Mary Frances Cotch; Howard J Hoffman; Vilmundur Gudnason
Journal:  Am J Epidemiol       Date:  2007-03-10       Impact factor: 4.897

Review 5.  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

6.  FRAX and the assessment of fracture probability in men and women from the UK.

Authors:  J A Kanis; O Johnell; A Oden; H Johansson; E McCloskey
Journal:  Osteoporos Int       Date:  2008-02-22       Impact factor: 4.507

Review 7.  The use of clinical risk factors enhances the performance of BMD in the prediction of hip and osteoporotic fractures in men and women.

Authors:  J A Kanis; A Oden; O Johnell; H Johansson; C De Laet; J Brown; P Burckhardt; C Cooper; C Christiansen; S Cummings; J A Eisman; S Fujiwara; C Glüer; D Goltzman; D Hans; M-A Krieg; A La Croix; E McCloskey; D Mellstrom; L J Melton; H Pols; J Reeve; K Sanders; A-M Schott; A Silman; D Torgerson; T van Staa; N B Watts; N Yoshimura
Journal:  Osteoporos Int       Date:  2007-02-24       Impact factor: 4.507

8.  Adjusting conventional FRAX estimates of fracture probability according to the recency of sentinel fractures.

Authors:  J A Kanis; H Johansson; N C Harvey; V Gudnason; G Sigurdsson; K Siggeirsdottir; M Lorentzon; E Liu; L Vandenput; E V McCloskey
Journal:  Osteoporos Int       Date:  2020-07-01       Impact factor: 4.507

9.  Rayyan-a web and mobile app for systematic reviews.

Authors:  Mourad Ouzzani; Hossam Hammady; Zbys Fedorowicz; Ahmed Elmagarmid
Journal:  Syst Rev       Date:  2016-12-05

10.  The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.

Authors:  Matthew J Page; Joanne E McKenzie; Patrick M Bossuyt; Isabelle Boutron; Tammy C Hoffmann; Cynthia D Mulrow; Larissa Shamseer; Jennifer M Tetzlaff; Elie A Akl; Sue E Brennan; Roger Chou; Julie Glanville; Jeremy M Grimshaw; Asbjørn Hróbjartsson; Manoj M Lalu; Tianjing Li; Elizabeth W Loder; Evan Mayo-Wilson; Steve McDonald; Luke A McGuinness; Lesley A Stewart; James Thomas; Andrea C Tricco; Vivian A Welch; Penny Whiting; David Moher
Journal:  BMJ       Date:  2021-03-29
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