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    A Meta-Analysis Study to Define Variations in Murine Long Bone Biomechanical Testing

    Source: Journal of Biomechanical Engineering:;2025:;volume( 147 ):;issue: 006::page 60801-1
    Author:
    Stewart, Isabella
    ,
    Garcia, Mason J.
    ,
    Alluri, Namitha
    ,
    Buzo, Maria
    ,
    Keko, Mario
    ,
    Nazarian, Ara
    DOI: 10.1115/1.4068318
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A systematic literature search and meta-analysis were performed to evaluate the variability in biomechanical testing of murine long bones, specifically focused on point-bending tests of mice femora. Due to the lack of standardized protocols for these tests, the assessment quantifies the heterogeneity in reported mechanical properties across existing literature. This study followed preferred reporting items for systematic reviews and meta-analyses (PRISMA) and strengthening the reporting of observational studies in epidemiology (STROBE) guidelines to search publicly available databases for relevant studies. After title and abstract screening, full-text reviews identified 73 articles meeting the inclusion criteria. Data was extracted from these studies, including stiffness, maximum load, modulus, and ultimate stress values for both three-point and four-point bending tests. The data were analyzed through ANOVA and metaregression to assess variability caused by age, sex, and genetic strain. The reviewers also assessed the quality of the included studies. The meta-analysis revealed significant heterogeneity in reported mechanical properties, with I2 values ranging from 72% to 100% in the three point-bend tests of pooled genetic strains. This heterogeneity persisted even after accounting for age, sex, and genetic strain differences. The review concludes that nonstandardized testing setups are the likely major source of the observed variability in reported data more than the population characteristics of the mice, highlighting the need for more consistent testing methodologies in future studies.
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      A Meta-Analysis Study to Define Variations in Murine Long Bone Biomechanical Testing

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    contributor authorStewart, Isabella
    contributor authorGarcia, Mason J.
    contributor authorAlluri, Namitha
    contributor authorBuzo, Maria
    contributor authorKeko, Mario
    contributor authorNazarian, Ara
    date accessioned2025-08-20T09:33:43Z
    date available2025-08-20T09:33:43Z
    date copyright4/28/2025 12:00:00 AM
    date issued2025
    identifier issn0148-0731
    identifier otherbio_147_06_060801.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4308483
    description abstractA systematic literature search and meta-analysis were performed to evaluate the variability in biomechanical testing of murine long bones, specifically focused on point-bending tests of mice femora. Due to the lack of standardized protocols for these tests, the assessment quantifies the heterogeneity in reported mechanical properties across existing literature. This study followed preferred reporting items for systematic reviews and meta-analyses (PRISMA) and strengthening the reporting of observational studies in epidemiology (STROBE) guidelines to search publicly available databases for relevant studies. After title and abstract screening, full-text reviews identified 73 articles meeting the inclusion criteria. Data was extracted from these studies, including stiffness, maximum load, modulus, and ultimate stress values for both three-point and four-point bending tests. The data were analyzed through ANOVA and metaregression to assess variability caused by age, sex, and genetic strain. The reviewers also assessed the quality of the included studies. The meta-analysis revealed significant heterogeneity in reported mechanical properties, with I2 values ranging from 72% to 100% in the three point-bend tests of pooled genetic strains. This heterogeneity persisted even after accounting for age, sex, and genetic strain differences. The review concludes that nonstandardized testing setups are the likely major source of the observed variability in reported data more than the population characteristics of the mice, highlighting the need for more consistent testing methodologies in future studies.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Meta-Analysis Study to Define Variations in Murine Long Bone Biomechanical Testing
    typeJournal Paper
    journal volume147
    journal issue6
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4068318
    journal fristpage60801-1
    journal lastpage60801-12
    page12
    treeJournal of Biomechanical Engineering:;2025:;volume( 147 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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