Design analysis indicates Potential overestimation of treatment effects in randomized controlled trials supporting Food and Drug Administration cancer drug approvals

2018 ◽  
Vol 103 ◽  
pp. 1-9 ◽  
Author(s):  
Emily M. Lord ◽  
Isabelle R. Weir ◽  
Ludovic Trinquart
Epilepsia ◽  
2021 ◽  
Author(s):  
Jennifer Madan Cohen ◽  
Daniel Checketts ◽  
Eduardo Dunayevich ◽  
Boudewijn Gunning ◽  
Ann Hyslop ◽  
...  

1997 ◽  
Vol 90 (12) ◽  
pp. 652-656 ◽  
Author(s):  
Klim Mcpherson ◽  
Annie R Britton ◽  
John E Wennberg

The most reliable information about treatment effects comes from randomized controlled trials (RCTs). However, the possibility of subtle interactions—for example, between treatment preferences and treatment effects—is generally subordinated in the quest for evidence about main treatment effects. If patient preferences can influence the effectiveness of treatments through poorly understood (psychological) pathways, then RCTs, particularly when unblinded, may wrongly attribute effects solely to a treatment's physiological/pharmacological properties. To interpret the RCT evidence base it is important to know whether any preference effects exist and, if so, by how much they affect outcome. Reliable measurement of these effects is difficult and will require new approaches to the conduct of trials. In view of the fanciful image with which such effects are portrayed and the uncertainties about their true nature and biological mechanisms, existing evidence is unlikely to provide sufficient justification for investment in trials. This is a Catch 22. Until an escape is found we might never know, even approximately, how much of modern medicine is attributable to psychological processes.


2015 ◽  
Vol 40 (6) ◽  
pp. 895-898 ◽  
Author(s):  
J A Dawson ◽  
K A Kaiser ◽  
O Affuso ◽  
G R Cutter ◽  
D B Allison

Trials ◽  
2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Hester F Lingsma ◽  
Bob Roozenbeek ◽  
Pablo Perel ◽  
Ian Roberts ◽  
Andrew IR Maas ◽  
...  

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