Literature DB >> 27804066

Statistical issues associated with terminating a clinical trial due to slow enrollment.

Charity J Morgan1.   

Abstract

Mesh：

Year:  2016        PMID： 27804066     DOI： 10.1007/s12350-016-0702-1

Source DB:  PubMed          Journal:  J Nucl Cardiol        ISSN： 1071-3581            Impact factor:   5.952


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  6 in total

Review 1.  Stopping clinical trials by design.

Authors:  John Whitehead
Journal:  Nat Rev Drug Discov       Date:  2004-11       Impact factor: 84.694

2.  Prevalence, characteristics, and predictors of early termination of cardiovascular clinical trials due to low recruitment: insights from the ClinicalTrials.gov registry.

Authors:  Sabrina Bernardez-Pereira; Renato D Lopes; Maria Julia Machline Carrion; Eliana Vieira Santucci; Rafael Marques Soares; Matheus de Oliveira Abreu; Ligia Nasi Laranjeira; Dimas T Ikeoka; Ana Denise Zazula; Frederico Rafael Moreira; Alexandre Biasi Cavalcanti; Evandro Tinoco Mesquita; Eric D Peterson; Robert M Califf; Otavio Berwanger
Journal:  Am Heart J       Date:  2014-05-02       Impact factor: 4.749

3.  Unsuccessful trial accrual and human subjects protections: an empirical analysis of recently closed trials.

Authors:  Benjamin Carlisle; Jonathan Kimmelman; Tim Ramsay; Nathalie MacKinnon
Journal:  Clin Trials       Date:  2014-12-04       Impact factor: 2.486

4.  Accrual experience of National Cancer Institute Cooperative Group phase III trials activated from 2000 to 2007.

Authors:  Edward L Korn; Boris Freidlin; Margaret Mooney; Jeffrey S Abrams
Journal:  J Clin Oncol       Date:  2010-11-08       Impact factor: 44.544

5.  Terminated Trials in the ClinicalTrials.gov Results Database: Evaluation of Availability of Primary Outcome Data and Reasons for Termination.

Authors:  Rebecca J Williams; Tony Tse; Katelyn DiPiazza; Deborah A Zarin
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

6.  Functional compared to anatomical imaging in the initial evaluation of patients with suspected coronary artery disease: An international, multi-center, randomized controlled trial (IAEA-SPECT/CTA study).

Authors:  Ganesan Karthikeyan; Barbara Guzic Salobir; Borut Jug; Niveditha Devasenapathy; Erick Alexanderson; Joao Vitola; Otakar Kraft; Elgin Ozkan; Saket Sharma; Gaurav Purohit; Maja Dolenc Novak; Aloha Meave; Sergio Trevethan; Rodrigo Cerci; Sandra Zier; Lucia Gotthardtová; Tomáš Jonszta; Timucin Altin; Cigdem Soydal; Chetan Patel; Gurpreet Gulati; Diana Paez; Maurizio Dondi; Ravi Kashyap
Journal:  J Nucl Cardiol       Date:  2016-10-28       Impact factor: 5.952
  6 in total
  2 in total

Review 1.  Review of cardiovascular imaging in the Journal of Nuclear Cardiology in 2017. Part 2 of 2: Myocardial perfusion imaging.

Authors:  Fadi G Hage; Wael A AlJaroudi
Journal:  J Nucl Cardiol       Date:  2018-04-16       Impact factor: 5.952

2.  Predictive modeling of clinical trial terminations using feature engineering and embedding learning.

Authors:  Magdalyn E Elkin; Xingquan Zhu
Journal:  Sci Rep       Date:  2021-02-10       Impact factor: 4.379
  2 in total

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