PubMed ID:
18385390
Public Release Type:
Journal
Publication Year: 2008
Affiliation: Renal Section (111F), VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT 06516, USA. susan.crowley@yale.edu
DOI:
https://doi.org/10.2215/CJN.05621207
Authors:
Lohr J,
Crowley ST,
Chertow GM,
Vitale J,
O'Connor T,
Zhang J,
Schein RM,
Choudhury D,
Finkel K,
Vijayan A,
Paganini E,
Palevsky PM,
VA/NIH Acute Renal Failure Trial Network Study Group,
Palevsky PM,
O'Connor TZ,
Zhang JH,
Chertow GM,
Crowley ST,
Choudhury D,
Kellum J,
Paganini E,
Schein RM,
Thompson BT,
Smith MW,
Swanson K,
Peduzzi P,
Star R,
Young E,
Choudhury D,
Dolson G,
Roudebush RL,
Bacallao R,
Shaver MJ,
Kraut J,
Schein RM,
Ikizler TA,
Batuman V,
Ramkumar M,
Watnick S,
Feldman G,
Gabbai F,
Johansen K,
Rosado-Rodriguez C,
Andress D,
Crowley ST,
Paganini E,
Rabb H,
Niles J,
Chertow G,
Contreras G,
Aslam N,
Finkel K,
Shaw A,
Rocco M,
Vijayan A
Studies:
Acute Renal Failure Trial Network
Design elements of clinical trials can introduce recruitment bias and reduce study efficiency. Trials involving the critically ill may be particularly prone to design-related inefficiencies.