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Advantages of multi-arm non-randomised sequentially allocated cohort designs for Phase II oncology trials.
Mossop, Helen; Grayling, Michael J; Gallagher, Ferdia A; Welsh, Sarah J; Stewart, Grant D; Wason, James M S.
Afiliação
  • Mossop H; Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
  • Grayling MJ; Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
  • Gallagher FA; Department of Radiology, University of Cambridge, Cambridge, UK.
  • Welsh SJ; Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
  • Stewart GD; Department of Surgery, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
  • Wason JMS; Department of Surgery, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK.
Br J Cancer ; 126(2): 204-210, 2022 02.
Article em En | MEDLINE | ID: mdl-34750494
ABSTRACT

BACKGROUND:

Efficient trial designs are required to prioritise promising drugs within Phase II trials. Adaptive designs are examples of such designs, but their efficiency is reduced if there is a delay in assessing patient responses to treatment.

METHODS:

Motivated by the WIRE trial in renal cell carcinoma (NCT03741426), we compare three trial approaches to testing multiple treatment arms (1) single-arm trials in sequence with interim analyses; (2) a parallel multi-arm multi-stage trial and (3) the design used in WIRE, which we call the Multi-Arm Sequential Trial with Efficient Recruitment (MASTER) design. The MASTER design recruits patients to one arm at a time, pausing recruitment to an arm when it has recruited the required number for an interim analysis. We conduct a simulation study to compare how long the three different trial designs take to evaluate a number of new treatment arms.

RESULTS:

The parallel multi-arm multi-stage and the MASTER design are much more efficient than separate trials. The MASTER design provides extra efficiency when there is endpoint delay, or recruitment is very quick.

CONCLUSIONS:

We recommend the MASTER design as an efficient way of testing multiple promising cancer treatments in non-comparative Phase II trials.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Simulação por Computador / Ensaios Clínicos Fase II como Assunto / Ensaios Clínicos Controlados não Aleatórios como Assunto / Ensaios Clínicos Adaptados como Assunto / Oncologia / Neoplasias Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Simulação por Computador / Ensaios Clínicos Fase II como Assunto / Ensaios Clínicos Controlados não Aleatórios como Assunto / Ensaios Clínicos Adaptados como Assunto / Oncologia / Neoplasias Tipo de estudo: Clinical_trials / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article