Evidence map›Paper›PMID 40827670›Full record

ArticleJournal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research2026

Fracture risk scores using output from an opportunistic screen of low bone density from conventional X-ray.

Catriona A Syme, Mark D Cicero, Jonathan D Adachi, Claudie Berger, Suzanne N Morin, David Goltzman, Alexander Bilbily

Abstract readMulticenter Study
In one paragraph

Article in Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Catriona A SymeDepartment of Research, 16 Bit Inc., Toronto, ON, M5J 2N8 Canada.ORCID 0000-0002-4909-4410
Mark D CiceroDepartment of Research, 16 Bit Inc., Toronto, ON, M5J 2N8 Canada.
Jonathan D AdachiDivision of Rheumatology, Department of Medicine, McMaster University, Hamilton, ON, L8N 3Z5 Canada.
Claudie BergerCentre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, H3H 2R9 Canada.
Suzanne N MorinCentre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, H3H 2R9 Canada.ORCID 0000-0002-4317-492X
David GoltzmanCentre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, H3H 2R9 Canada.
Alexander BilbilyDepartment of Research, 16 Bit Inc., Toronto, ON, M5J 2N8 Canada.

Funding

Actavis Pharma Inc.Amgen Canada Inc.Canadian Multicentre Osteoporosis StudyCIHRDairy Farmers of CanadaEli Lilly Canada IncSanofi-Aventis Canada Inc.Servier Canada Inc.The Arthritis Society
6 · The paper itself

Abstract

Fracture risk is commonly assessed by FRAX, a tool that estimates 10-yr risk for major osteoporotic fracture (MOF) and hip fracture. FRAX scores are often refined by including FN BMD measured by DXA as an input. Rho, a novel AI-powered software, estimates FN BMD T-Scores from conventional X-rays, even when FN is not in the image. Whether a FRAX score using this estimate (FRAX-Rho) can improve a FRAX score without a T-Score input (FRAX-NoT) has not been studied. We conducted a retrospective analysis of Canadian Multicentre Osteoporosis Study participants who had X-rays of the lumbar and/or thoracic spine, FRAX risk factors, and DXA T-Scores acquired at the same time point, and follow-up fracture outcomes over 9 yr. In 1361 participants with lumbar X-rays, FRAX-Rho and FRAX with DXA FN T-Scores (FRAX-DXA) had very good agreement in categorizing participants by MOF risk (Cohen's weighted kappa κ = 0.80 [0.77-0.82]), which tended to be better than that between FRAX-NoT and FRAX-DXA (0.76 [0.73-0.79]). Agreement in categorizing participants by hip fracture risk was significantly greater between FRAX-Rho and FRAX-DXA (0.67 [0.63-0.71]) than FRAX-NoT and FRAX-DXA (0.52 [0.48-0.56]). In predicting true incident MOF, FRAX-Rho and FRAX-DXA did not differ in their discriminative power (c-index) (0.76 and 0.77; p = .36); both were significantly greater than that of FRAX-NoT (0.73; p < .004). The accuracy of FRAX-Rho for predicting MOF (Brier Score) was better than FRAX-NoT (p < .05) but not as good as FRAX-DXA. Similar results were observed in participants with thoracic X-rays. In conclusion, FN T-Scores estimated by Rho from lumbar and thoracic X-rays add value to FRAX-NoT estimates and may be useful for risk assessment when DXA is not available.

Indexed as

Bone DensityOsteoporotic FracturesAbsorptiometry, PhotonAgedCanadaFemaleHumansLumbar VertebraeMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk Factorsartificial intelligenceDXAfracture riskosteoporosisX-ray

Identifiers

PMID40827670
PMCPMC12865846

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Registered trials

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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.