Evidence map›Paper›PMID 40481292›Full record

ArticleAnnals of biomedical engineering2025

High-Fidelity Finite Element Modeling Technique to Improve Sensitivity to Bone Tissue Changes of Older Adults with Obesity undergoing Intensive Lifestyle Intervention.

Michael A K Liebschner, Daeseung Kim, Nina Klonis, Giulia Gregori, Reina Armamento-Villareal, Clifford Qualls, Dennis T Villareal

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Trial
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Michael A K LiebschnerDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Daeseung KimDepartment of Oral & Maxillary Surgery, The Methodist Hospital Research Institute, Houston, TX, USA.
Nina KlonisDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Giulia GregoriDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Reina Armamento-VillarealDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Clifford QuallsDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, USA.
Dennis T VillarealDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Baylor College of Medicine, Houston, TX, USA. dennis.villareal@bcm.edu.

Funding

DOES LIFESTYLE INTERVENTION IN OBESE OLDER ADULTS IMPROVE BONE QUALITY?R01DK109950 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI VILLAREAL, DENNIS T. · 2017 to 2022
$3.4M
CSRD VA I01 CX002161NIDDK NIH HHS R01 DK109950NIDDK NIH HHS RO1-DK109950U.S. Department of Veterans Affairs 1-101 CX002161
6 · The paper itself

Abstract

introductionObesity presents a significant health risk for the aging population. Research shows that weight loss and regular exercise can greatly improve the functional status of older adults who are obese. However, weight loss may also result in a decrease in bone mass. To properly assess changes in fracture risk due to lifestyle interventions, a direct biomechanical evaluation of bone strength and fracture risk at metabolically active sites is essential.

methodsComputed tomography scans taken at two different time points of ten human volunteers provided the foundation for this study. A high-fidelity segmentation and modeling approach was taken to generate finite element models. Fracture risk before and after lifestyle intervention was compared using well-established hip and spine fracture models. In this study, two modeling techniques for generating finite element analyses were compared for their ability to detect minor changes in bone strength.

resultsAn uncertainty analysis of methodologies indicated that a high-fidelity anatomically detailed modeling technique would be more sensitive than state-of-the-art voxel-based techniques to detect changes in bone strength and subsequent fracture risk due to lifestyle intervention.

conclusionThe presented study demonstrated the ability to generate high-fidelity finite element models with unparalleled precision by capturing individual anatomical variations and material properties.

Indexed as

Bone and BonesFinite Element AnalysisLife StyleModels, BiologicalObesityAgedFemaleHumansMaleMiddle AgedTomography, X-Ray ComputedBone strengthFinite element analysisFracture riskPatient-specific analysis

Identifiers

PMID40481292
PMCPMC12303366

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.