Treasure, T;
              
      
            
                Baum, M;
              
      
        
        
  
(2017)
  An approach to randomization into surgical clinical trials.
British Journal of Surgery
, 104
       (1)
    
     pp. 11-12.
    
         10.1002/bjs.10420.
  
  
       
    
  
| Preview | Text BJS leader- Treasure Baum 2016.pdf - Accepted Version Download (367kB) | Preview | 
Abstract
Recruitment of patients into surgical trials is difficult. One in five surgical RCTs is discontinued early and one in three trials remains unpublished1. This is particularly problematic when a study has a surgical and a non-surgical arm, and in the multimodal treatments that include surgery in many cancer trials. There is a recurring sticking point in randomizing patients because of the inherent difference between a preoperative surgical consultation and counselling patients about randomization. This could be resolved if it is accepted that there is no need for the patient to meet a surgeon until they have been assigned to a study arm involving surgery.
| Type: | Article | 
|---|---|
| Title: | An approach to randomization into surgical clinical trials | 
| Open access status: | An open access version is available from UCL Discovery | 
| DOI: | 10.1002/bjs.10420 | 
| Publisher version: | https://doi.org/10.1002/bjs.10420 | 
| Language: | English | 
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. | 
| Keywords: | Surgical procedures, operative | 
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics > Clinical Operational Research Unit | 
| URI: | https://discovery.ucl.ac.uk/id/eprint/10127396 | 
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