Evidence map›Paper›PMID 39825889›Full record

ArticleJournal of bone and mineral metabolism2025

Associations between bone material strength index and FRAX scores.

Pamela Rufus-Membere, Kara B Anderson, Kara L Holloway-Kew, Mark A Kotowicz, Adolfo Diez-Perez, Julie A Pasco

Abstract read
In one paragraph

Article in Journal of bone and mineral metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Pamela Rufus-MembereDeakin University, IMPACT- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia. Pamela.r@deakin.edu.au.ORCID http://orcid.org/0000-0002-8693-0457
Kara B AndersonDeakin University, IMPACT- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
Kara L Holloway-KewDeakin University, IMPACT- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
Mark A KotowiczDeakin University, IMPACT- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.
Adolfo Diez-PerezDepartment of Internal Medicine, Hospital del Mar-IMIM, Pompeu Fabra University, Barcelona, Spain.
Julie A PascoDeakin University, IMPACT- Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Geelong, Australia.

Funding

National Health and Medical Research Council 251638National Health and Medical Research Council 628582
6 · The paper itself

Abstract

introductionImpact microindentation (IMI) measures bone material strength index (BMSi) in vivo. However, its ability to predict fractures is still uncertain. This study aimed to determine the association between BMSi and 10 year fracture probability, as calculated by the FRAX algorithm. MATERIALS AND

methodsBMSi was measured using the OsteoProbe in 388 men (ages 40-90 yr) from the Geelong Osteoporosis Study. The probabilities for a major osteoporotic fracture (MOF) and hip fracture (HF) were calculated using the Australian FRAX tool. Hip (HF) and major osteoporotic (MOF) fracture probabilities were computed with and without the inclusion of femoral neck bone mineral density (BMD). For each participant, four 10 year probability scores were therefore generated: (i) HF-FRAXnoBMD; (ii) HF-FRAXBMD; (iii) MOF-FRAXnoBMD; (iv) MOF-FRAXBMD.

resultsBMSi was negatively correlated with age (r = - 0.114, p = 0.025), no associations were detected between BMSi and femoral neck BMD (r = + 0.035, p = 0.507). BMSi was negatively correlated with HF-FRAXnoBMD (r = - 0.135, p = 0.008) and MOF-FRAXnoBMD (r = - 0.153, p = 0.003). These trends held true for HF-FRAXBMD (r = - 0.087, p = 0.094) and MOF-FRAXBMD (r = - 0.111, p = 0.034), but only the latter reached significance.

conclusionBMSi captures the cumulative effect of clinical risk factors in the FRAX algorithm, suggesting that it could provide additional information that may be useful in predicting risk of fractures. Further studies are warranted to establish its efficacy in predicting fracture risk.

Indexed as

Bone DensityHip FracturesOsteoporotic FracturesAdultAgedAged, 80 and overAlgorithmsFemur NeckHumansMaleMiddle AgedRisk FactorsBone material strength indexFractureFRAXImpact microindentationOsteoporosis

Identifiers

PMID39825889
PMCPMC12089204

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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.