Dupuytren’s Disease: Measure. Compare. Predict?
“Dupuytren’s disease affects millions of people worldwide. The authors of this thesis set out to fill a number of knowledge gaps concerning current treatments for the disease. In a series of clinical studies, they assessed the effectiveness, patient satisfaction, and long-term results of these treatments.
In one of the largest studies to date, other factors besides treatment technique, such as a surgeon’s annual procedure volume, are also explored to what extent they impact clinical outcomes. It seems that needle aponeurotomy, Collagenase injection, fat grafting, and open fasciectomy may all continue to play a part in the management of this debilitating disease in the years to come. Fortunately, future investigators can rely on both traditional and newer study designs, such as propensity score analysis, to further clarify which technique works best for whom and under what circumstances.
Until we find a cure, the quest for safer and more effective treatment for this chronic disease continues - as it has for many decades.”
|Keywords||Hand, Dupuytren, contracture, needle, injection, surgery, fasciectomy, comparative effectiveness, prediction modeling, propensity score, RCT, surgeon volume, patient satisfaction.|
|Promotor||S.E.R. Hovius (Steven) , R.W. Selles (Ruud)|
|Publisher||Erasmus University Rotterdam|
Zhou, C. (2018, June 6). Dupuytren’s Disease: Measure. Compare. Predict?. Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/105963