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Interventions in randomised controlled trials in surgery: issues to consider during trial design

Overview of attention for article published in Trials, September 2015
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Title
Interventions in randomised controlled trials in surgery: issues to consider during trial design
Published in
Trials, September 2015
DOI 10.1186/s13063-015-0918-4
Pubmed ID
Authors

Natalie S. Blencowe, Julia M. Brown, Jonathan A. Cook, Chris Metcalfe, Dion G. Morton, Jon Nicholl, Linda D. Sharples, Shaun Treweek, Jane M. Blazeby, Members of the MRC Hub for Trials Methodology Research Network Workshop

Abstract

Until recently, insufficient attention has been paid to the fact that surgical interventions are complex. This complexity has several implications, including the way in which surgical interventions are described and delivered in trials. In order for surgeons to adopt trial findings, interventions need to be described in sufficient detail to enable accurate replication; however, it may be permissible to allow some aspects to be delivered according to local practice. Accumulating work in this area has identified the need for general guidance on the design of surgical interventions in trial protocols and reports. Key issues to consider when designing surgical interventions include the identification of each surgical intervention and their components, who will deliver the interventions, and where and how the interventions will be standardised and monitored during the trial. The trial design (pragmatic and explanatory), comparator and stage of innovation may also influence the extent of detail required. Thoughtful consideration of surgical interventions in this way may help with the interpretation of trial results and the adoption of successful interventions into clinical practice.

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Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 24%
Other 12 13%
Professor 9 10%
Student > Ph. D. Student 8 9%
Student > Doctoral Student 6 7%
Other 20 22%
Unknown 13 15%
Readers by discipline Count As %
Medicine and Dentistry 47 53%
Nursing and Health Professions 4 4%
Psychology 2 2%
Mathematics 2 2%
Economics, Econometrics and Finance 2 2%
Other 6 7%
Unknown 26 29%