Evidence map›Paper›PMID 24386199›Full record

ArticlePloS one2013

FRAX®: prediction of major osteoporotic fractures in women from the general population: the OPUS study.

Karine Briot, Simon Paternotte, Sami Kolta, Richard Eastell, Dieter Felsenberg, David M Reid, Claus-C Glüer, Christian Roux

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
2.3field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 73 citations in OpenAlex.

  1. Predictive value of BMD for hip and other fractures: a meta-analysis to update FRAX.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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  4. Performance of predictive tools to identify individuals at risk of non-traumatic fracture: a systematic review, meta-analysis, and meta-regression.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2019
    Pooled it
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  13. The clinical utility of the BMD-related comprehensive genome-wide polygenic score in identifying individuals with a high risk of osteoporotic fractures.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2023
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  16. Axial Transmission: Techniques, Devices and Clinical Results.Advances in experimental medicine and biology · 2022
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  18. Bone Mineral Density: Clinical Relevance and Quantitative Assessment.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Review
  19. Comparing three machine learning approaches to design a risk assessment tool for future fractures: predicting a subsequent major osteoporotic fracture in fracture patients with osteopenia and osteoporosis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 4 countries.

Karine BriotParis-Descartes University, Rheumatology Department, Cochin Hospital, Paris, France.
Simon PaternotteParis-Descartes University, Rheumatology Department, Cochin Hospital, Paris, France.
Sami KoltaParis-Descartes University, Rheumatology Department, Cochin Hospital, Paris, France.
Richard EastellDepartment of Human Metabolism, University of Sheffield, Sheffield, United Kingdom.
Dieter FelsenbergCentre of Muscle and Bone Research, Charité - University Medicine Berlin, Campus Benjamin Franklin, Free and Humboldt University, Berlin, Germany.
David M ReidSchool of Medicine & Dentistry, University of Aberdeen, Aberdeen, United Kingdom.
Claus-C GlüerBiomedizinische Bildgebung, Klinik für Diagnostische Radiologie, Universitätsklinikum Schleswig-Holstein, Kiel, Germany.
Christian RouxParis-Descartes University, Rheumatology Department, Cochin Hospital, Paris, France.
Université Paris Cité · FRDélégation Paris 5 · FRHôpital Cochin · FRHumboldt-Universität zu Berlin · DEUniversity Hospital Schleswig-Holstein · DEUniversity of Aberdeen · GBUniversity of Sheffield · GB

Funding

Medical Research Council MR/K006312/1
6 · The paper itself

Abstract

purposesThe aim of this study was to analyse how well FRAX® predicts the risk of major osteoporotic and vertebral fractures over 6 years in postmenopausal women from general population. PATIENTS AND

methodsThe OPUS study was conducted in European women aged above 55 years, recruited in 5 centers from random population samples and followed over 6 years. The population for this study consisted of 1748 women (mean age 74.2 years) with information on incident fractures. 742 (43.1%) had a prevalent fracture; 769 (44%) and 155 (8.9%) of them received an antiosteoporotic treatment before and during the study respectively. We compared FRAX® performance with and without bone mineral density (BMD) using receiver operator characteristic (ROC) c-statistical analysis with ORs and areas under receiver operating characteristics curves (AUCs) and net reclassification improvement (NRI).

results85 (4.9%) patients had incident major fractures over 6 years. FRAX® with and without BMD predicted these fractures with an AUC of 0.66 and 0.62 respectively. The AUC were 0.60, 0.66, 0.69 for history of low trauma fracture alone, age and femoral neck (FN) BMD and combination of the 3 clinical risk factors, respectively. FRAX® with and without BMD predicted incident radiographic vertebral fracture (n = 65) with an AUC of 0.67 and 0.65 respectively. NRI analysis showed a significant improvement in risk assignment when BMD is added to FRAX®.

conclusionsThis study shows that FRAX® with BMD and to a lesser extent also without FN BMD predict major osteoporotic and vertebral fractures in the general population.

Indexed as

AgedAged, 80 and overBone DensityFemaleFollow-Up StudiesHumansIncidenceMiddle AgedOsteoporosis, PostmenopausalOsteoporotic FracturesPopulation SurveillanceProspective StudiesRadiographyRisk FactorsROC CurveSpinal Fractures

Identifiers

PMID24386199
PMCPMC3875449
OpenAlexW2020171911

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.