Evidence map›Paper›PMID 40353869›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2025

Comparison of the time-dependent discriminatory accuracy of femoral strength and bone mineral density for predicting future hip and major osteoporotic fractures: a 16-year follow-up of the AGES-Reykjavik cohort.

Anitha D Praveen, Dheeraj Jha, Alexander Baker, Ingmar Fleps, Páll Björnsson, Lotta María Ellingsen, Thor Aspelund, Sigurdur Sigurdsson, Vilmundur Gudnason, Halldór Pálsson and 4 more

Abstract readComparative Study
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Improved prediction of hip fracture using multi-faceted biomechanical computed tomography.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2026
    Article
  4. Review
  5. Article
  6. Article
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

14 authors.

Anitha D PraveenFuture Health Technologies Programme, Singapore-ETH Centre, CREATE campus, 1 Create Way, CREATE Tower, #06-01, Singapore, 138602, Singapore. anitha.dpraveen@sec.ethz.ch.ORCID http://orcid.org/0000-0001-7174-139X
Dheeraj JhaFuture Health Technologies Programme, Singapore-ETH Centre, CREATE campus, 1 Create Way, CREATE Tower, #06-01, Singapore, 138602, Singapore.
Alexander BakerInstitute for Biomechanics, ETH Zürich, Zurich, Switzerland.
Ingmar FlepsCollege of Mechanical Engineering, Boston University, Boston, MA, USA.
Páll BjörnssonFaculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland.
Lotta María EllingsenFaculty of Electrical and Computer Engineering, University of Iceland, Reykjavik, Iceland.
Thor AspelundCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Sigurdur SigurdssonThe Icelandic Heart Association Research Institute, Kopavogur, Iceland.
Vilmundur GudnasonCentre of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavik, Iceland.
Halldór PálssonFaculty of Industrial Engineering, Mechanical Engineering and Computer Science, School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland.
David MatcharDepartment of Medicine, Duke University, Durham, NC, USA.
Fjola JohannesdottirCenter for Advanced Orthopaedic Studies, Beth Israel Deaconess Medical Center and Department of Orthopaedic Surgery, Harvard Medical School, Boston, MA, USA.
Stephen J FergusonFuture Health Technologies Programme, Singapore-ETH Centre, CREATE campus, 1 Create Way, CREATE Tower, #06-01, Singapore, 138602, Singapore.
Benedikt HelgasonFuture Health Technologies Programme, Singapore-ETH Centre, CREATE campus, 1 Create Way, CREATE Tower, #06-01, Singapore, 138602, Singapore.

Funding

Eidgenössische Technische Hochschule Zürich #2018-325Eidgenössische Technische Hochschule Zürich Personalized HealthEidgenössische Technische Hochschule Zürich Related Technologies Grant #2018-430
6 · The paper itself

Abstract

The discriminative accuracy of femoral strength was significantly higher than that of aBMD over 16 years of follow-up for classifying hip fractures and major osteoporotic fractures. The use of accurate thresholds, whether for aBMD or other imaging-based biomarkers, is crucial to improve sensitivity and identify high-risk older adults.

backgroundAreal bone mineral density (aBMD) is a surrogate for bone strength but has limited prognostic value. Finite element (FE)-derived femoral strength offers a biomechanical alternative to aBMD for fracture risk assessment, but its long-term predictive value remains unclear. This study compared the discriminatory accuracy of aBMD and femoral strength for hip (HFs) and major osteoporotic fractures (MOFs) over 16 years, accounting for mortality risk.

methodsIn the prospective Age Gene/Environment Susceptibility-Reykjavik (AGES-Reykjavik) Study, elderly participants underwent CT scans at entry and automated algorithms were used to compute aBMD and femoral strength. Time-dependent area under the receiver operating characteristic curves (AUC) was used to compare the predictive abilities of aBMD and femoral strength. Optimal cutoffs at the Youden's index were compared with the World Health Organization (WHO)-defined aBMD cutoffs at various time points.

resultsThe cohort comprised 4621 older adults (mean age 76 ± 5 years). Femoral strength had a significantly higher AUC than aBMD in identifying HFs (p < 0.05) from the 6th year in males and females, while their AUCs in predicting MOFs were similar. WHO-defined aBMD showed low sensitivity (17-52%) but high specificity (78-94%) for both HFs and MOFs. The sensitivity of optimal femoral strength was significantly higher than that of aBMD at comparable specificity by 5-19% for HFs and 2-10% for MOFs (p < 0.05).

conclusionsBoth image-based markers predict long-term fracture risk and enable opportunistic screening with existing CT scans. However, femoral strength demonstrates better discriminatory accuracy than aBMD. The low sensitivity of the WHO-defined aBMD demonstrates the necessity to revise current risk assessment criteria.

Indexed as

Bone DensityFemurHip FracturesOsteoporotic FracturesAbsorptiometry, PhotonAgedAged, 80 and overFemaleFollow-Up StudiesHumansIcelandMalePrognosisRisk AssessmentTomography, X-Ray ComputedBone mineral densityCompeting riskDiagnostic accuracyFinite-element modellingOsteoporotic fracturesPredictionTime-dependent AUC

Identifiers

PMID40353869
PMCPMC12208951

What OpenQuestion holds

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LicenceCC BY-NC
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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.