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Bone & Joint Research
Dates
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Bone & Joint Research
Vol. 6, Issue 5 | Pages 307 - 314
1 May 2017
Rendon JS Swinton M Bernthal N Boffano M Damron T Evaniew N Ferguson P Galli Serra M Hettwer W McKay P Miller B Nystrom L Parizzia W Schneider P Spiguel A Vélez R Weiss K Zumárraga JP Ghert M

Objectives

As tumours of bone and soft tissue are rare, multicentre prospective collaboration is essential for meaningful research and evidence-based advances in patient care. The aim of this study was to identify barriers and facilitators encountered in large-scale collaborative research by orthopaedic oncological surgeons involved or interested in prospective multicentre collaboration.

Methods

All surgeons who were involved, or had expressed an interest, in the ongoing Prophylactic Antibiotic Regimens in Tumour Surgery (PARITY) trial were invited to participate in a focus group to discuss their experiences with collaborative research in this area. The discussion was digitally recorded, transcribed and anonymised. The transcript was analysed qualitatively, using an analytic approach which aims to organise the data in the language of the participants with little theoretical interpretation.


Bone & Joint Research
Vol. 5, Issue 8 | Pages 347 - 352
1 Aug 2016
Nuttall J Evaniew N Thornley P Griffin A Deheshi B O’Shea T Wunder J Ferguson P Randall RL Turcotte R Schneider P McKay P Bhandari M Ghert M

Objectives

The diagnosis of surgical site infection following endoprosthetic reconstruction for bone tumours is frequently a subjective diagnosis. Large clinical trials use blinded Central Adjudication Committees (CACs) to minimise the variability and bias associated with assessing a clinical outcome. The aim of this study was to determine the level of inter-rater and intra-rater agreement in the diagnosis of surgical site infection in the context of a clinical trial.

Materials and Methods

The Prophylactic Antibiotic Regimens in Tumour Surgery (PARITY) trial CAC adjudicated 29 non-PARITY cases of lower extremity endoprosthetic reconstruction. The CAC members classified each case according to the Centers for Disease Control (CDC) criteria for surgical site infection (superficial, deep, or organ space). Combinatorial analysis was used to calculate the smallest CAC panel size required to maximise agreement. A final meeting was held to establish a consensus.