Evidence map›Paper›PMID 29018567›Full record

ArticleRMD open2017

Do we need bone mineral density to estimate osteoporotic fracture risk? A 10-year prospective multicentre validation study.

Andréa Marques, Raquel Lucas, Eugénia Simões, Suzanne M M Verstappen, Johannes W G Jacobs, Jose A P da Silva

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 6 pooled it
2.4field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 6 syntheses or guidelines pooled it, 27 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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  6. Update of the fracture risk prediction tool FRAX: a systematic review of potential cohorts and analysis plan.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022
    Pooled it
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  8. Evaluating the performance of the Charlson Comorbidity Index (CCI) in fracture risk prediction and developing a new Charlson Fracture Index (CFI): a register-based cohort study.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2022
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  12. New Insights Into Monogenic Causes of Osteoporosis.Frontiers in endocrinology · 2019
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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

6 authors at 5 institutions in 3 countries.

Andréa MarquesRheumatology Department, Centro Hospitalar e Universitário de Coimbra, Clínica Universitária de Reumatologia, University of Coimbra, Coimbra, Portugal.
Raquel LucasEPIUnit - Institute of Public Health and Porto Medical School, University of Porto, Porto, Portugal.
Eugénia SimõesInstituto Português de Reumatologia, Lisboa, Portugal.
Suzanne M M VerstappenArthritis Research UK Centre for Epidemiology, Division of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Johannes W G JacobsDepartment of Rheumatology and Clinical Immunology, University Medical Center, Utrecht, The Netherlands.
Jose A P da SilvaRheumatology Department, Centro Hospitalar e Universitário de Coimbra, Clínica Universitária de Reumatologia, University of Coimbra, Coimbra, Portugal.
Hospitais da Universidade de Coimbra · PTInstituto Português de Malacologia · PTUniversidade do Porto · PTUniversity Medical Center Utrecht · NLUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEvaluate the performance of FRAX®, with and without bone mineral densitometry (BMD), in predicting the occurrence of fragility fractures over 10 years.

methodsParticipants aged ≥40 years at baseline, with a complete set of data and a minimum of 8.5 years of follow-up were identified from three cohorts (n=2626). Ten-year fracture risk at baseline were estimated with FRAX® and assessed by comparison with observed fractures and receiver operating characteristic analysis.

resultsDuring a mean (SD) follow-up of 9.12 (1.5) years, 178 participants suffered a major osteoporotic (MOP) fracture and 28 sustained a hip fracture. The predictive performance of FRAX® was superior to that of BMD alone for both MOP and hip fractures. The area under the curve (AUC) of FRAX® without BMD was 0.76 (95% CI 0.72 to 0.79) for MOP fractures and 0.78 (95% CI 0.69 to 0.86) for hip fractures. No significant improvements were found when BMD was added to clinical variables to predict either MOP (0.78, 95% CI 0.74 to 0.82, p=0.25) or hip fractures (0.79, 95% CI 0.69 to 0.89, p=0.72). AUCs for FRAX® (with and without BMD) were greater for men than for women. FRAX®, with and without BMD, tended to underestimate the number of MOP fractures and to overestimate the number of hip fractures in females. In men, the number of observed fractures were within the 95% CI of the number predicted, both with and without BMD.

conclusionFRAX® without BMD provided good fracture prediction. Adding BMD to FRAX® did not improve the performance of the tool in the general population.

Indexed as

epidemiologyosteoporosisoutcomes research

Identifiers

PMID29018567
PMCPMC5623321
OpenAlexW2759815348

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.