The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Interpretation and use of FRAX in clinical practice
Open accessAbstract
SummaryThe introduction of the WHO FRAX® algorithms has facilitated the assessment of fracture risk on the basis of fracture probability. Its use in fracture risk prediction has strengths, but also limitations of which the clinician should be aware and are the focus of this reviewIntroductionThe International Osteoporosis Foundation (IOF) and the International Society for Clinical Densitometry (ISCD) appointed a joint Task Force to develop resource documents in order to make recommendations on how to improve FRAX and better inform clinicians who use FRAX. The Task Force met in November 2010 for 3 days to discuss these topics which form the focus of this review.MethodsThis study reviews the resource documents and joint position statements of ISCD and IOF.ResultsDetails on the clinical risk factors currently used in FRAX are provided, and the reasons for the exclusion of others are provided. Recommendations are made for the development of surrogate models where country-specific FRAX models are not available.ConclusionsThe wish list of clinicians for the modulation of FRAX is large, but in many instances, these wishes cannot presently be fulfilled; however, an explanation and understanding of the reasons may be helpful in translating the information provided by FRAX into clinical practice.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Interventions for preventing falls in older people living in the community
Gillespie, L. D., Robertson, M. C., Gillespie, W. J., Sherrington, C., Gates, S., Clemson, L., & Lamb, S. E. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007146.pub3 · Cited by 3,966
Risk Factors for Hip Fracture in White Women
Cummings, S. R., Nevitt, M. C., Browner, W. S., Stone, K., Fox, K. M., Ensrud, K. E., Cauley, J., Black, D., & Vogt, T. M. (1995) · New England Journal of Medicine · doi:10.1056/nejm199503233321202 · Cited by 3,595
Self-citationEffect of Risedronate on the Risk of Hip Fracture in Elderly Women
McClung, M. R., Geusens, P., Miller, P. D., Zippel, H., Bensen, W. G., Roux, C., Adami, S., Fogelman, I., Diamond, T., Eastell, R., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200102013440503 · Cited by 1,918
Use of oral corticosteroids and risk of fractures
Van Staa, T. P., Leufkens, H. G. M., Abenhaim, L., Zhang, B., & Cooper, C. (2000) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.2000.15.6.993 · Cited by 1,263
Self-citationfor the IOF-IFCC Bone Marker Standards Working Group, Vasikaran, S., Eastell, R., Bruyère, O., Foldes, A. J., Garnero, P., Griesmacher, A., McClung, M., Morris, H. A., Silverman, S., et al. (2011) · Osteoporosis International · doi:10.1007/s00198-010-1501-1 · Cited by 1,212
Self-citationUpdated Data on Proximal Femur Bone Mineral Levels of US Adults
Looker, A. C., Wahner, H. W., Dunn, W. L., Calvo, M. S., Harris, T. B., Heyse, S. P., Johnston Jr, C. C., & Lindsay, R. (1998) · Osteoporosis International · doi:10.1007/s001980050093 · Cited by 1,121 · cited 1×
“Because of this, the T-score used in FRAX is derived from a single reference standard (the NHANES III database for female Caucasians aged 20–29 years) [77].”
MethodSmoking and fracture risk: a meta-analysis
Kanis, J. A., Johnell, O., Oden, A., Johansson, H., De Laet, C., Eisman, J. A., Fujiwara, S., Kroger, H., McCloskey, E. V., Mellstrom, D., et al. (2005) · Osteoporosis International · doi:10.1007/s00198-004-1640-3 · Cited by 999
Self-citationA meta-analysis of prior corticosteroid use and fracture risk.
Kanis, J. A., Johansson, H., Oden, A., Johnell, O., de Laet, C., Melton, L. J., Tenenhouse, A., Reeve, J., Silman, A. J., Pols, H. A., et al. (2004) · Journal of Bone and Mineral Research · doi:10.1359/jbmr.040134 · Cited by 839
Self-citationLaw, M. R., & Hackshaw, A. K. (1997) · BMJ · doi:10.1136/bmj.315.7112.841 · Cited by 666 · cited 2×
“Second, the risk of hip fracture rises progressively with age [48, 49], possibly related to the duration of exposure.”
BackgroundResultScreening for Osteoporosis: U.S. Preventive Services Task Force Recommendation Statement
U.S. Preventive Services Task Force* (2011) · Annals of Internal Medicine · doi:10.7326/0003-4819-154-5-201103010-00307 · Cited by 436
Cited by
European guidance for the diagnosis and management of osteoporosis in postmenopausal women
on behalf of the Scientific Advisory Board of the European Society for Clinical and Economic Aspects of Osteoporosis (ESCEO) and the Committees of Scientific Advisors and National Societies of the International Osteoporosis Foundation (IOF), Kanis, J. A., Cooper, C., Rizzoli, R., & Reginster, J.-Y. (2019) · Osteoporosis International · doi:10.1007/s00198-018-4704-5 · Cited by 1,900
Self-citationRomosozumab or Alendronate for Fracture Prevention in Women with Osteoporosis
Saag, K. G., Petersen, J., Brandi, M. L., Karaplis, A. C., Lorentzon, M., Thomas, T., Maddox, J., Fan, M., Meisner, P. D., & Grauer, A. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1708322 · Cited by 1,544
Camacho, P. M., Petak, S. M., Binkley, N., Diab, D. L., Eldeiry, L. S., Farooki, A., Harris, S. T., Hurley, D. L., Kelly, J., Lewiecki, E. M., et al. (2020) · Endocrine Practice · doi:10.4158/gl-2020-0524suppl · Cited by 1,182
Self-citationCamacho, P. M., Petak, S. M., Binkley, N., Clarke, B. L., Harris, S. T., Hurley, D. L., Kleerekoper, M., Lewiecki, E. M., Miller, P. D., Narula, H. S., et al. (2016) · Endocrine Practice · doi:10.4158/ep161435.esgl · Cited by 1,140
Self-citationA meta-analysis of the association of fracture risk and body mass index in women
Johansson, H., Kanis, J. A., Odén, A., McCloskey, E., Chapurlat, R. D., Christiansen, C., Cummings, S. R., Diez-Perez, A., Eisman, J. A., Fujiwara, S., et al. (2014) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2017 · Cited by 480
Self-citation
Metadata
- Authors
- Task Force of the FRAX Initiative, Kanis, J. A., Hans, D., Cooper, C., Baim, S., Bilezikian, J. P., Binkley, N., Cauley, J. A., Compston, J. E., Dawson-Hughes, B., El-Hajj Fuleihan, G., Johansson, H., Leslie, W. D., Lewiecki, E. M., Luckey, M., Oden, A., Papapoulos, S. E., Poiana, C., Rizzoli, R., Wahl, D. A., & McCloskey, E. V.
- Venue
- Osteoporosis International
- Published
- 2011-07-21
- Volume
- 22
- Issue
- 9
- Pages
- 2395-2411
- ISSN
- 0937-941X (ISSN-L)
- 1433-2965
- OpenAlex
- W2162626992
- Cited by
- 532
- References
- 12
- FWCI
- 44.03
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Interpretation and use of FRAX in clinical practice. https://app.cochat.ai/papers/10.1007/s00198-011-1713-z
- The paper
- Task Force of the FRAX Initiative, Kanis, J. A., Hans, D., Cooper, C., Baim, S., Bilezikian, J. P., Binkley, N., Cauley, J. A., Compston, J. E., Dawson-Hughes, B., El-Hajj Fuleihan, G., Johansson, H., Leslie, W. D., Lewiecki, E. M., Luckey, M., Oden, A., Papapoulos, S. E., Poiana, C., Rizzoli, R., . . . McCloskey, E. V. (2011). Interpretation and use of FRAX in clinical practice. Osteoporosis International. https://doi.org/10.1007/s00198-011-1713-z
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
