Literature DB >> 27994275

Clarifying WHO's position on the FRAX® tool for fracture prediction.

Nathan Ford1, Susan L Norris2, Suzanne R Hill3.   

Abstract

Entities:  

Year:  2016        PMID: 27994275      PMCID: PMC5153933          DOI: 10.2471/BLT.16.188532

Source DB:  PubMed          Journal:  Bull World Health Organ        ISSN: 0042-9686            Impact factor:   9.408


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The World Health Organization (WHO) does not currently produce a global estimate of the disease burden attributable to osteoporosis and has long recognized that varying disease definitions and gaps in data complicate the efforts to develop such estimates. By this statement, the World Health Organization wishes to make clear that the FRAX® tool to evaluate fracture risks of patients is not a “WHO tool” and has not been developed, endorsed, evaluated or validated by WHO, notwithstanding any public statements and claims to that effect.– From 1991 to 2010, the metabolic bone disease unit at the University of Sheffield was designated as a WHO Collaborating Centre, in part to address the abovementioned problem of estimating disease burden. A WHO collaborating centre is an institution designated by the Director-General to carry out activities in support of the Organization's programmes. While the centre contributed to a 2007 meeting report of WHO’s Scientific Group on the Assessment of Osteoporosis at the Primary Health Level, this report stated only the following in respect of its assessment of the FRAX model: “In Member States without access to densitometry , case-finding strategies can be pursued with use of clinical risk factors alone. The performance characteristics of the FRAX model are at least as good as those provided by peripheral assessment of bone mineral density.” Neither that report nor the foregoing statement, however, amount to the FRAX model being developed by WHO, nor do they constitute an endorsement by WHO of the FRAX model. In 2008, the University of Sheffield released this model as a fracture prediction tool, the FRAX® tool. The subsequent scientific literature and one judicial proceeding reflect controversy over the use of this tool to identify individuals at risk of fracture who may benefit from pharmaceutical treatment to improve bone density., WHO has no access to the algorithms, coefficients or underlying data on which the FRAX® tool and its national variations have been developed. Consequently WHO is unable to, and does not, express any opinion regarding the scientific value of the FRAX® tool. Furthermore, according to our records, WHO has not authorized the use of the WHO name, acronym or emblem in connection with the FRAX® tool, including for the tool’s branding, promotion or sale.  WHO also wishes to clarify that it has not received any income from the sales of subscriptions to the FRAX® tool, whether through the tool’s website or through its iPhone or Android mobile applications. Lastly, it should be clear that any treatment recommendations integrated within the FRAX® toolhave not been evaluated by WHO’s Guidelines Review Committee and should not be construed as WHO-endorsed recommendations. Since 2008, recommendations issued by WHO are done so in strict compliance with the process described in the WHO Handbook for Guideline Development. Recommendations are based on systematic reviews of evidence, formal assessments of the certainty of the balance of benefits and harms of an intervention, and explicit consideration of factors such as feasibility, effect on equity, cost and the preferences of persons affected by the recommendations. The guideline development group, which formulates the recommendations, needs to include a broad representation of experts, implementers, and individuals affected by the recommendations, with a clear management plan to minimize potential conflicts of interest.
  5 in total

1.  Diet, nutrition and the prevention of chronic diseases.

Authors: 
Journal:  World Health Organ Tech Rep Ser       Date:  2003

2.  Conflicts at the heart of the FRAX tool.

Authors:  Teppo L N Järvinen; Jarkko Jokihaara; Pierre Guy; Pablo Alonso-Coello; Gary S Collins; Karl Michaëlsson; Harri Sievänen
Journal:  CMAJ       Date:  2013-12-23       Impact factor: 8.262

Review 3.  The Use of the Fracture Risk Assessment (FRAX®) Tool in Predicting Risk of Fractures in Patients With Inflammatory Bowel Disease: A Systematic Review.

Authors:  Beatriz Serrano-Montalbán; Ángel Arias; Ana Belén Friginal-Ruiz; Alfredo J Lucendo
Journal:  J Clin Densitom       Date:  2016-09-07       Impact factor: 2.617

4.  Guidelines for the diagnosis and management of osteoporosis in postmenopausal women and men from the age of 50 years in the UK.

Authors:  J Compston; A Cooper; C Cooper; R Francis; J A Kanis; D Marsh; E V McCloskey; D M Reid; P Selby; M Wilkins
Journal:  Maturitas       Date:  2009-01-08       Impact factor: 4.342

Review 5.  Interpretation and use of FRAX in clinical practice.

Authors:  J A Kanis; D Hans; C Cooper; S Baim; J P Bilezikian; N Binkley; J A Cauley; J E Compston; B Dawson-Hughes; G El-Hajj Fuleihan; H Johansson; W D Leslie; E M Lewiecki; M Luckey; A Oden; S E Papapoulos; C Poiana; R Rizzoli; D A Wahl; E V McCloskey
Journal:  Osteoporos Int       Date:  2011-07-21       Impact factor: 4.507

  5 in total
  21 in total

Review 1.  A brief history of FRAX.

Authors:  John A Kanis; Helena Johansson; Nicholas C Harvey; Eugene V McCloskey
Journal:  Arch Osteoporos       Date:  2018-10-31       Impact factor: 2.617

2.  Corrigendum to "Prediction of Local Ultimate Strain and Toughness of Trabecular Bone Tissue by Raman Material Composition Analysis".

Authors:  Roberto Carretta; Edgar Stüssi; Ralph Müller; Silvio Lorenzetti
Journal:  Biomed Res Int       Date:  2017-11-21       Impact factor: 3.411

3.  Corrigendum to "Assessment of Hip Fracture Risk Using Cross-Section Strain Energy Determined by QCT-Based Finite Element Modeling".

Authors:  Hossein Kheirollahi; Yunhua Luo
Journal:  Biomed Res Int       Date:  2017-07-03       Impact factor: 3.411

4.  Corrigendum to "Predictors of Fracture Risk and Bone Mineral Density in Men with Prostate Cancer on Androgen Deprivation Therapy".

Authors:  Katherine Neubecker; Beverley Adams-Huet; Irfan M Farukhi; Rosinda Castanon; Ugis Gruntmanis
Journal:  J Osteoporos       Date:  2017-07-12

5.  Corrigendum to "Male Osteoporosis in the Elderly".

Authors:  Patrizia D'Amelio; Giovanni Carlo Isaia
Journal:  Int J Endocrinol       Date:  2017-07-02       Impact factor: 3.257

6.  Corrigendum to "Fracture Risk in Type 2 Diabetes: Current Perspectives and Gender Differences".

Authors:  Giuseppina T Russo; Annalisa Giandalia; Elisabetta L Romeo; Nunziata Morabito; Marco Muscianisi; Maria Concetta Ruffo; Antonino Catalano; Domenico Cucinotta
Journal:  Int J Endocrinol       Date:  2017-07-16       Impact factor: 3.257

7.  Corrigendum to "A Clinical Decision Support System for the Diagnosis, Fracture Risks and Treatment of Osteoporosis".

Authors:  Bjarni V Halldorsson; Aron Hjalti Bjornsson; Haukur Tyr Gudmundsson; Elvar Orn Birgisson; Bjorn Runar Ludviksson; Bjorn Gudbjornsson
Journal:  Comput Math Methods Med       Date:  2017-06-29       Impact factor: 2.238

8.  Corrigendum to "Mikkeli Osteoporosis Index Identifies Fracture Risk Factors and Osteoporosis and Intervention Thresholds Parallel with FRAX".

Authors:  Ville Juhana Waris; Joonas P Sirola; Vesa V Kiviniemi; Marjo T Tuppurainen; V Pekka Waris
Journal:  J Osteoporos       Date:  2017-08-20

9.  Corrigendum to "Falls and Fractures in the Elderly with Sinus Node Disease: The Impact of Pacemaker Implantation".

Authors:  Nazmi Krasniqi; Diana Segalada; Thomas F Lüscher; Kurt Lippuner; Laurent Haegeli; Jan Steffel; Thomas Wolber; Corinna Brunckhorst; Johannes Holzmeister; David Hürlimann; Firat Duru
Journal:  Cardiol Res Pract       Date:  2017-10-19       Impact factor: 1.866

10.  Corrigendum to "The Current Practice of Screening, Prevention, and Treatment of Androgen-Deprivation-Therapy Induced Osteoporosis in Patients with Prostate Cancer".

Authors:  Humaid O Al-Shamsi; Arthur N Lau; Kartika Malik; Abdulaziz Alamri; George Ioannidis; Tom Corbett; J D Adachi; Alexandra Papaioannou
Journal:  J Oncol       Date:  2017-12-03       Impact factor: 4.375

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