Predictors of clinically meaningful bone mineral density gains with romosozumab: An explainable machine leaning analysis of a real-world cohort

Romosozumab was effective and well-tolerated in routine clinical practice, yielding meaningful and site-specific gains in BMD. Explainable machine-learning analysis identified physiologically coherent and consistent clinical predictors of ≥10 % response.

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Publication Details

Journal
Bone Reports
Published
2025-11-26
DOI
https://doi.org/10.1016/j.bonr.2025.101890
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
0.00
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article

Predictors of clinically meaningful bone mineral density gains with romosozumab: An explainable machine leaning analysis of a real-world cohort

David Castro Corredor, Luis Ángel Calvo Pascual
Bone Reports
Bone health and osteoporosis research
article

Predictors of clinically meaningful bone mineral density gains with romosozumab: An explainable machine leaning analysis of a real-world cohort

David Castro Corredor, Luis Ángel Calvo Pascual
article en

Abstract

Romosozumab was effective and well-tolerated in routine clinical practice, yielding meaningful and site-specific gains in BMD. Explainable machine-learning analysis identified physiologically coherent and consistent clinical predictors of ≥10 % response.

Bone ReportsVol. 27
Hospital General Universitario de Ciudad Real (ES), Universidad Pontificia Comillas (ES)
Openalex Percentile: Top 54%
Bone health and osteoporosis research
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