Evidence map›Paper›PMID 41872364›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2026

Demographic determinants of REMS-derived BMD and fragility score.

Dennis Chan, Weiwen Chen, Elizabeth Yabsley, Nicholas Pocock

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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, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Dennis ChanFaculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2050, Australia.
Weiwen ChenDepartment of Medicine, Division of Endocrinology and Molecular Medicine, Medical College of Wisconsin, Milwaukee, WI, 53226, USA.
Elizabeth YabsleyDiabetes Education Centre, St George Public Hospital, Kogarah, NSW, 2217, Australia.
Nicholas PocockDiagnostic Imaging, Chatswood Densitometry Centre, Chatswood, NSW, 2067, Australia. nicholaspocock@gmail.com.ORCID http://orcid.org/0000-0002-7122-6176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

REMS estimates bone mineral density and fracture risk. This study found that its output is driven mainly by demographic factors (age and weight) rather than direct skeletal measurement. This affects interpretation of outliers, discordance with DXA, and monitoring. Using REMS within FRAX, which already includes demographic variables, may introduce confounding effects. Algorithm transparency is essential to reassess REMS' clinical role. PURPOSE: Recent findings have questioned the dependency of radiofrequency echographic multi-spectrometry (REMS) outputs on demographic inputs. This study investigates the extent to which REMS-derived fragility score (FS) and REMS-derived bone mineral density (REMS-BMD) values are influenced by demographic inputs (e.g., age, weight, and height) through the analysis of clinical data and controlled experimental manipulation.

methodsA clinical cohort (178 females, 31 males) underwent REMS scans of the lumbar spine (LS) and femoral neck (FN). Multiple linear regression was used to determine the variance in REMS-BMD and FS explained by demographics. Additionally, five healthy volunteers underwent multiple REMS scans where age and weight inputs were artificially varied to measure the direct impact on the REMS-BMD output, assuming stable underlying bone.

resultsIn the clinical cohort, regression models based on demographic variables of input age and input weight (as well as input height for LS) explained the majority of the variance for REMS-BMD (R

conclusionsREMS-BMD and fragility scores are strongly influenced by demographic inputs, particularly age and weight. The REMS output therefore reflects an assessment of BMD and fracture risk strongly based on demographic parameters, rather than an ultrasound-based direct skeletal measurement. The results indicate the need for caution in individual patient assessment (particularly outliers), its application with FRAX calculations, and its use for longitudinal monitoring.

Indexed as

Bone DensityOsteoporotic FracturesAbsorptiometry, PhotonAdultAgedAged, 80 and overAge FactorsAlgorithmsBody HeightBody WeightFemaleFemur NeckHumansLumbar VertebraeMaleMiddle AgedBone mineral densityFracture risk assessmentRadiofrequency echographic multi-spectrometry

Identifiers

PMID41872364
PMCPMC13553624

What OpenQuestion holds

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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.