Literature DB >> 32546273

The adaptive designs CONSORT extension (ACE) statement: a checklist with explanation and elaboration guideline for reporting randomised trials that use an adaptive design.

Munyaradzi Dimairo1, Philip Pallmann2, James Wason3,4, Susan Todd5, Thomas Jaki6, Steven A Julious7, Adrian P Mander2,3, Christopher J Weir8, Franz Koenig9, Marc K Walton10, Jon P Nicholl7, Elizabeth Coates7, Katie Biggs7, Toshimitsu Hamasaki11, Michael A Proschan12, John A Scott13, Yuki Ando14, Daniel Hind7, Douglas G Altman15.   

Abstract

Adaptive designs (ADs) allow pre-planned changes to an ongoing trial without compromising the validity of conclusions and it is essential to distinguish pre-planned from unplanned changes that may also occur. The reporting of ADs in randomised trials is inconsistent and needs improving. Incompletely reported AD randomised trials are difficult to reproduce and are hard to interpret and synthesise. This consequently hampers their ability to inform practice as well as future research and contributes to research waste. Better transparency and adequate reporting will enable the potential benefits of ADs to be realised.This extension to the Consolidated Standards Of Reporting Trials (CONSORT) 2010 statement was developed to enhance the reporting of randomised AD clinical trials. We developed an Adaptive designs CONSORT Extension (ACE) guideline through a two-stage Delphi process with input from multidisciplinary key stakeholders in clinical trials research in the public and private sectors from 21 countries, followed by a consensus meeting. Members of the CONSORT Group were involved during the development process.The paper presents the ACE checklists for AD randomised trial reports and abstracts, as well as an explanation with examples to aid the application of the guideline. The ACE checklist comprises seven new items, nine modified items, six unchanged items for which additional explanatory text clarifies further considerations for ADs, and 20 unchanged items not requiring further explanatory text. The ACE abstract checklist has one new item, one modified item, one unchanged item with additional explanatory text for ADs, and 15 unchanged items not requiring further explanatory text.The intention is to enhance transparency and improve reporting of AD randomised trials to improve the interpretability of their results and reproducibility of their methods, results and inference. We also hope indirectly to facilitate the much-needed knowledge transfer of innovative trial designs to maximise their potential benefits. In order to encourage its wide dissemination this article is freely accessible on the BMJ and Trials journal websites."To maximise the benefit to society, you need to not just do research but do it well" Douglas G Altman.

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Year:  2020        PMID: 32546273      PMCID: PMC7298968          DOI: 10.1186/s13063-020-04334-x

Source DB:  PubMed          Journal:  Trials        ISSN: 1745-6215            Impact factor:   2.279


  221 in total

1.  Adaptive designs in clinical drug development--an Executive Summary of the PhRMA Working Group.

Authors:  Paul Gallo; Christy Chuang-Stein; Vladimir Dragalin; Brenda Gaydos; Michael Krams; José Pinheiro
Journal:  J Biopharm Stat       Date:  2006-05       Impact factor: 1.051

2.  Avoidable waste in the production and reporting of evidence.

Authors:  Yao-long Chen; Ke-hu Yang
Journal:  Lancet       Date:  2009-09-05       Impact factor: 79.321

3.  Quantifying the bias in the estimated treatment effect in randomized trials having interim analyses and a rule for early stopping for futility.

Authors:  S D Walter; H Han; M Briel; G H Guyatt
Journal:  Stat Med       Date:  2017-02-09       Impact factor: 2.373

4.  Stopping a trial early - and then what?

Authors:  Janet Wittes
Journal:  Clin Trials       Date:  2012-08-09       Impact factor: 2.486

5.  Exact inference for adaptive group sequential designs.

Authors:  Ping Gao; Lingyun Liu; Cyrus Mehta
Journal:  Stat Med       Date:  2013-05-19       Impact factor: 2.373

6.  Adaptive Designs: Results of 2016 Survey on Perception and Use.

Authors:  Alan Hartford; Mitchell Thomann; Xiaotian Chen; Eva Miller; Alun Bedding; Silke Jorgens; Lingyun Liu; Li Chen; Caroline Morgan
Journal:  Ther Innov Regul Sci       Date:  2020-01-06       Impact factor: 1.778

7.  Adaptive randomized study of idarubicin and cytarabine versus troxacitabine and cytarabine versus troxacitabine and idarubicin in untreated patients 50 years or older with adverse karyotype acute myeloid leukemia.

Authors:  Francis J Giles; Hagop M Kantarjian; Jorge E Cortes; Guillermo Garcia-Manero; Srdan Verstovsek; Stefan Faderl; Deborah A Thomas; Alessandra Ferrajoli; Susan O'Brien; Jay K Wathen; Lian-Chun Xiao; Donald A Berry; Elihu H Estey
Journal:  J Clin Oncol       Date:  2003-05-01       Impact factor: 44.544

8.  Confirmatory adaptive designs with Bayesian decision tools for a targeted therapy in oncology.

Authors:  Werner Brannath; Emmanuel Zuber; Michael Branson; Frank Bretz; Paul Gallo; Martin Posch; Amy Racine-Poon
Journal:  Stat Med       Date:  2009-05-01       Impact factor: 2.373

9.  No solution yet for combining two independent studies in the presence of heterogeneity.

Authors:  Andrea Gonnermann; Theodor Framke; Anika Großhennig; Armin Koch
Journal:  Stat Med       Date:  2015-07-20       Impact factor: 2.373

10.  TAILoR (TelmisArtan and InsuLin Resistance in Human Immunodeficiency Virus [HIV]): An Adaptive-design, Dose-ranging Phase IIb Randomized Trial of Telmisartan for the Reduction of Insulin Resistance in HIV-positive Individuals on Combination Antiretroviral Therapy.

Authors:  Sudeep Pushpakom; Ruwanthi Kolamunnage-Dona; Claire Taylor; Terry Foster; Cath Spowart; Marta García-Fiñana; Graham J Kemp; Thomas Jaki; Saye Khoo; Paula Williamson; Munir Pirmohamed
Journal:  Clin Infect Dis       Date:  2020-05-06       Impact factor: 9.079

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  4 in total

1.  Pragmatic, adaptive clinical trials: Is 2020 the dawning of a new age?

Authors:  Westyn Branch-Elliman; Lisa Soleymani Lehmann; William E Boden; Ryan Ferguson; Paul Monach
Journal:  Contemp Clin Trials Commun       Date:  2020-07-17

2.  Discovery of Urinary Biomarkers of Seaweed Intake Using Untargeted LC-MS Metabolomics in a Three-Way Cross-Over Human Study.

Authors:  Muyao Xi; Lars Ove Dragsted; Mikkel Tullin; Madeleine Ernst; Nazikussabah Zaharudin; Giorgia La Barbera
Journal:  Metabolites       Date:  2020-12-28

3.  Effect of Early Treatment With Hydroxychloroquine or Lopinavir and Ritonavir on Risk of Hospitalization Among Patients With COVID-19: The TOGETHER Randomized Clinical Trial.

Authors:  Gilmar Reis; Eduardo Augusto Dos Santos Moreira Silva; Daniela Carla Medeiros Silva; Lehana Thabane; Gurmit Singh; Jay J H Park; Jamie I Forrest; Ofir Harari; Castilho Vitor Quirino Dos Santos; Ana Paula Figueiredo Guimarães de Almeida; Adhemar Dias de Figueiredo Neto; Leonardo Cançado Monteiro Savassi; Aline Cruz Milagres; Mauro Martins Teixeira; Maria Izabel Campos Simplicio; Luciene Barra Ribeiro; Rosemary Oliveira; Edward J Mills
Journal:  JAMA Netw Open       Date:  2021-04-01

4.  Effect of high-flow nasal therapy on patient-centred outcomes in patients at high risk of postoperative pulmonary complications after cardiac surgery: a study protocol for a multicentre adaptive randomised controlled trial.

Authors:  Melissa Earwaker; Sofia Villar; Julia Fox-Rushby; Melissa Duckworth; Sarah Dawson; Jo Steele; Yi-da Chiu; Edward Litton; Gudrun Kunst; Gavin Murphy; Guillermo Martinez; Vasileios Zochios; Val Brown; Geoff Brown; Andrew Klein
Journal:  Trials       Date:  2022-03-28       Impact factor: 2.728

  4 in total

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