Literature DB >> 23378484

Uptake of novel statistical methods for early-phase clinical studies in the UK public sector.

Thomas Jaki1.   

Abstract

BACKGROUND: In recent years, the success rate of confirmatory studies has been poor resulting in more emphasis on the conduct of exploratory studies. As one possibility to improve decision-making during the early stages of development, adaptive and Bayesian methods have been recommended.
PURPOSE: To investigate the current practice in designing early-phase studies in UK public sector research institutions and the use of adaptive and Bayesian methods in particular and to determine factors that hinder the penetration of methodological advances into practice.
METHODS: A questionnaire was sent to all UK clinical trials units (CTUs) to gauge their involvement in early-phase studies and to learn about the designs used in these studies. Follow-up visits to units conducting early-phase studies with round-table discussions around the methods used and the obstacles faced when using adaptive methods were undertaken.
RESULTS: More than half of the CTUs are involved in early-phase studies, but conservatism in the methods used in these studies is present. Reasons for novel methodology not being used include a lack of expertise, incompatible funding and unit structure, and a lack of software. LIMITATIONS: Information is collected from UK CTUs, which undertake a large portion (but not all) publicly funded trials.
CONCLUSIONS: The use of adaptive and Bayesian methods for early-phase clinical studies in the UK public sector is at present limited. Various different initiatives aim to support and facilitate the use of these methods, however, so that an increased use of these methods can be anticipated in the future.

Entities:  

Mesh:

Year:  2013        PMID: 23378484     DOI: 10.1177/1740774512474375

Source DB:  PubMed          Journal:  Clin Trials        ISSN: 1740-7745            Impact factor:   2.486


  22 in total

1.  Reflections on the Adaptive Designs Accelerating Promising Trials Into Treatments (ADAPT-IT) Process-Findings from a Qualitative Study.

Authors:  Timothy C Guetterman; Michael D Fetters; Laurie J Legocki; Samkeliso Mawocha; William G Barsan; Roger J Lewis; Donald A Berry; William J Meurer
Journal:  Clin Res Regul Aff       Date:  2015-09-18

2.  Dose-finding designs for trials of molecularly targeted agents and immunotherapies.

Authors:  Cody Chiuzan; Jonathan Shtaynberger; Gulam A Manji; Jimmy K Duong; Gary K Schwartz; Anastasia Ivanova; Shing M Lee
Journal:  J Biopharm Stat       Date:  2017-02-06       Impact factor: 1.051

3.  Revisiting isotonic phase I design in the era of model-assisted dose-finding.

Authors:  Nolan A Wages; Mark R Conaway
Journal:  Clin Trials       Date:  2018-08-13       Impact factor: 2.486

4.  AplusB: A Web Application for Investigating A + B Designs for Phase I Cancer Clinical Trials.

Authors:  Graham M Wheeler; Michael J Sweeting; Adrian P Mander
Journal:  PLoS One       Date:  2016-07-12       Impact factor: 3.240

5.  Would the Recommended Dose Have Been Different Using Novel Dose-Finding Designs? Comparing Dose-Finding Designs in Published Trials.

Authors:  Rebecca B Silva; Christina Yap; Richard Carvajal; Shing M Lee
Journal:  JCO Precis Oncol       Date:  2021-06-15

6.  Missing steps in a staircase: a qualitative study of the perspectives of key stakeholders on the use of adaptive designs in confirmatory trials.

Authors:  Munyaradzi Dimairo; Jonathan Boote; Steven A Julious; Jonathan P Nicholl; Susan Todd
Journal:  Trials       Date:  2015-09-28       Impact factor: 2.279

7.  Six pairs of things to celebrate on International Clinical Trials Day.

Authors:  David L Sackett
Journal:  Trials       Date:  2013-05-20       Impact factor: 2.279

8.  An investigation of the impact of futility analysis in publicly funded trials.

Authors:  Benjamin G O Sully; Steven A Julious; Jon Nicholl
Journal:  Trials       Date:  2014-02-17       Impact factor: 2.279

Review 9.  Adaptive designs undertaken in clinical research: a review of registered clinical trials.

Authors:  Isabella Hatfield; Annabel Allison; Laura Flight; Steven A Julious; Munyaradzi Dimairo
Journal:  Trials       Date:  2016-03-19       Impact factor: 2.279

10.  Cross-sector surveys assessing perceptions of key stakeholders towards barriers, concerns and facilitators to the appropriate use of adaptive designs in confirmatory trials.

Authors:  Munyaradzi Dimairo; Steven A Julious; Susan Todd; Jonathan P Nicholl; Jonathan Boote
Journal:  Trials       Date:  2015-12-23       Impact factor: 2.279

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