Please use this identifier to cite or link to this item: doi:10.22028/D291-41332
Title: Reappraisal of clinical trauma trials: the critical impact of anthropometric parameters on fracture gap micro-mechanics-observations from a simulation-based study
Author(s): Roland, Michael
Diebels, Stefan
Orth, Marcel
Pohlemann, Tim
Bouillon, Bertil
Tjardes, Thorsten
Language: English
Title: Scientific Reports
Volume: 13
Issue: 1
Publisher/Platform: Springer Nature
Year of Publication: 2023
Free key words: Biomedical engineering
Preclinical research
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: The evidence base of surgical fracture care is extremely sparse with only few sound RCTs available. It is hypothesized that anthropometric factors relevantly infuence mechanical conditions in the fracture gap, thereby interfering with the mechanoinduction of fracture healing. Development of a fnite element model of a tibia fracture, which is the basis of an in silico population (n= 300) by systematic variation of anthropometric parameters. Simulations of the stance phase and correlation between anthropometric parameters and the mechanical stimulus in the fracture gap. Analysis of the infuence of anthropometric parameters on statistical dispersion between in silico trial cohorts with respect to the probability to generate two, with respect to anthropometric parameters statistically diferent trial cohorts, given the same power assumptions. The mechanical impact in the fracture gap correlates with anthropometric parameters; confrming the hypothesis that anthropometric factors are a relevant entity. On a cohort level simulation of a fracture trial showed that given an adequate power the principle of randomization successfully levels out the impact of anthropometric factors. From a clinical perspective these group sizes are difcult to achieve, especially when considering that the trials takes advantage of a „laboratory approach “, i.e. the fracture type has not been varied, such that in real world trials the cohort size have to be even larger to level out the diferent confgurations of fractures gaps. Anthropometric parameters have a signifcant impact on the fracture gap mechanics. The cohort sizes necessary to level out this efect are difcult or unrealistic to achieve in RCTs, which is the reason for sparse evidence in orthotrauma. New approaches to clinical trials taking advantage of modelling and simulation techniques need to be developed and explored.
DOI of the first publication: 10.1038/s41598-023-47910-2
URL of the first publication: https://www.nature.com/articles/s41598-023-47910-2
Link to this record: urn:nbn:de:bsz:291--ds-413326
hdl:20.500.11880/37069
http://dx.doi.org/10.22028/D291-41332
ISSN: 2045-2322
Date of registration: 18-Dec-2023
Description of the related object: Supplementary Information
Related object: https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-023-47910-2/MediaObjects/41598_2023_47910_MOESM1_ESM.docx
Faculty: M - Medizinische Fakultät
NT - Naturwissenschaftlich- Technische Fakultät
Department: M - Chirurgie
NT - Materialwissenschaft und Werkstofftechnik
Professorship: M - Prof. Dr. Tim Pohlemann
NT - Prof. Dr. Stefan Diebels
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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