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doi:10.22028/D291-41332
Titel: | Reappraisal of clinical trauma trials: the critical impact of anthropometric parameters on fracture gap micro-mechanics-observations from a simulation-based study |
VerfasserIn: | Roland, Michael Diebels, Stefan Orth, Marcel Pohlemann, Tim Bouillon, Bertil Tjardes, Thorsten |
Sprache: | Englisch |
Titel: | Scientific Reports |
Bandnummer: | 13 |
Heft: | 1 |
Verlag/Plattform: | Springer Nature |
Erscheinungsjahr: | 2023 |
Freie Schlagwörter: | Biomedical engineering Preclinical research |
DDC-Sachgruppe: | 610 Medizin, Gesundheit |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
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 der Erstveröffentlichung: | 10.1038/s41598-023-47910-2 |
URL der Erstveröffentlichung: | https://www.nature.com/articles/s41598-023-47910-2 |
Link zu diesem Datensatz: | urn:nbn:de:bsz:291--ds-413326 hdl:20.500.11880/37069 http://dx.doi.org/10.22028/D291-41332 |
ISSN: | 2045-2322 |
Datum des Eintrags: | 18-Dez-2023 |
Bezeichnung des in Beziehung stehenden Objekts: | Supplementary Information |
In Beziehung stehendes Objekt: | https://static-content.springer.com/esm/art%3A10.1038%2Fs41598-023-47910-2/MediaObjects/41598_2023_47910_MOESM1_ESM.docx |
Fakultät: | M - Medizinische Fakultät NT - Naturwissenschaftlich- Technische Fakultät |
Fachrichtung: | M - Chirurgie NT - Materialwissenschaft und Werkstofftechnik |
Professur: | M - Prof. Dr. Tim Pohlemann NT - Prof. Dr. Stefan Diebels |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Dateien zu diesem Datensatz:
Datei | Beschreibung | Größe | Format | |
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s41598-023-47910-2.pdf | 2,41 MB | Adobe PDF | Öffnen/Anzeigen |
Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons