Evidence map›Paper›PMID 40468434›Full record

ArticleJournal of orthopaedic surgery and research2025

A causal Bayesian model to evaluate shoulder pathology effect on glenoid bone mineral density.

Pezhman Eghbali, Osman Berk Satir, Fabio Becce, Patrick Goetti, Philippe Büchler, Dominique P Pioletti, Alexandre Terrier

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Article in Journal of orthopaedic surgery and research, 2025. 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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Pezhman EghbaliLaboratory of Biomechanical Orthopedics, Ecole Polytechnique Fédérale de Lausanne, Institute of Bioengineering, Lausanne, Switzerland.
Osman Berk SatirARTORG Center for Biomedical Engineering Research, Bern, Switzerland.
Fabio BecceDepartment of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Patrick GoettiService of Orthopedics and Traumatology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Philippe BüchlerARTORG Center for Biomedical Engineering Research, Bern, Switzerland.
Dominique P PiolettiLaboratory of Biomechanical Orthopedics, Ecole Polytechnique Fédérale de Lausanne, Institute of Bioengineering, Lausanne, Switzerland.
Alexandre TerrierLaboratory of Biomechanical Orthopedics, Ecole Polytechnique Fédérale de Lausanne, Institute of Bioengineering, Lausanne, Switzerland. alexandre.terrier@epfl.ch.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 189972
6 · The paper itself

Abstract

backgroundThe effect of shoulder pathologies on glenoid bone mineral density (BMD) remains unclear and can be critical in surgical treatments. It is thus useful to predict this effect and understand how it is influenced by sex, age, and body mass index (BMI), in various glenoid locations.

methodsWe developed a causal model and used do-calculus to identify the minimal adjustment set of covariate variables and developed a varying-intercept varying-slope Bayesian model. We considered two common shoulder pathologies, primary osteoarthritis (OA) and cuff tear arthropathy (CTA), and compared them with normal shoulders (CTRL). Glenoid BMD was automatically measured on computed tomography scans of 93 OA, 53 CTA, and 133 CTRL subjects.

resultsOA and CTA subjects had higher BMD than CTRL in subchondral trabecular bone. This difference varied by sex, increased with age, and was stable with BMI. BMD was higher in OA than CTA, especially on the posterior side.

conclusionThis causal model estimates the causal effect of pathology BMD, which could be useful for surgery planning, outcome prediction, and understanding of the associated pathophysiology.

Indexed as

Bone DensityGlenoid CavityOsteoarthritisRotator Cuff InjuriesShoulder JointAdultAgedAged, 80 and overBayes TheoremFemaleHumansMaleMiddle AgedTomography, X-Ray ComputedBayesian statisticsCausal inferenceGlenoid bone mineral densityShoulder pathology

Identifiers

PMID40468434
PMCPMC12139265

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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.