ISSN: ISSN 2472-016X

Zeitschrift für orthopädische Onkologie

Offener Zugang

Unsere Gruppe organisiert über 3000 globale Konferenzreihen Jährliche Veranstaltungen in den USA, Europa und anderen Ländern. Asien mit Unterstützung von 1000 weiteren wissenschaftlichen Gesellschaften und veröffentlicht über 700 Open Access Zeitschriften, die über 50.000 bedeutende Persönlichkeiten und renommierte Wissenschaftler als Redaktionsmitglieder enthalten.

Open-Access-Zeitschriften gewinnen mehr Leser und Zitierungen
700 Zeitschriften und 15.000.000 Leser Jede Zeitschrift erhält mehr als 25.000 Leser

Abstrakt

Uncemented Arthroplasty for Hip Pain and Fracture after Metastatic Disease and Multiple Myeloma: Case Series, Exploratory Graphical Analysis and Bayesian Network Modeling

Sergio PS Meirelles, Daniel CS Rebolledo, Luiz FM Correia, Andre M Baptista and Olavo P Camargo

We are not aware of previous cases series of uncemented arthroplasty for hip pain or fracture secondary to metastatic disease or multiple myeloma. Objective: To describe a case series using a combination of narrative, graphical exploratory analysis and Bayesian Network modeling. Methods: Case series of 34 patients undergoing uncemented and hybrid arthroplasty procedures secondary to hip pain or fracture secondary to metastatic disease or multiple myeloma. Case series is presented using a narrative following Kempen’s reporting guidelines, exploratory graphical analysis and Bayesian Network modeling with a structure based on expert opinion and parameters inferred from the data. Most common tumors included gastrointestinal, multiple myeloma and breast. A total of 26.3% (n = 5) of all of our procedures were performed secondary to fractures. Most devices were total (n = 16, 84.2%) rather than partial, uncemented (n = 12, 63.2%) rather than hybrid. Average time between surgery and first walk was 20 days, average length of stay of 13 days, with average patient survival of 589 days. Only one infection was reported. Uncemented and hybrid arthroplasty devices did not differ in relation to time to walk as well as length of stay in this sample. Conclusion: Our model should be used as the prior for the addition of subsequent patient samples, thus personalizing its recommendations to other patient populations.