Habeeb Majeed1, Eitan Amir1,2. 1. Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada. 2. Department of Medicine, University of Toronto, Toronto, ON M5S 1A1, Canada.
Well-designed and appropriately reported clinical trials are essential to evaluate treatment efficacy and form the basis for regulatory approval of new cancer treatments, post-marketing funding decisions, and endorsement by the wider oncology community. In contrast, poorly designed or inadequately reported studies can impair the clinical relevance of these results. Inaccurate or unreproducible data can ill-advise on further study of new treatments, or may result in the inability to translate benefit observed in clinical trials into an improvement in patient outcome in routine practice. Problems which may influence the interpretation of trials include: the use of narrow eligibility criteria that limits generalisability, the use of surrogate end points that have not been validated as reflecting patient benefit, the reporting of statistically significant but clinically less meaningful results, the underestimation of toxicity, and biased reporting – both in the primary publication and by the media (Tannock ). To ensure the highest fidelity in clinical research, it is important to have a framework for optimal design and reporting of clinical trials. Although a number of reporting criteria (Schulz ; von Elm ) have been developed and endorsed by journal editors and the research community, few have focused exclusively on oncology trials.In this issue, MacCarthy highlight some of the important issues related to the conduct and reporting of oncology trials and have taken steps to address these issues through a new project, EQUATOR-Oncology. The EQUATOR (Enhancing the QUAlity and Transparency Of health Research) network, established in 2006, is a global initiative that has brought together researchers and journal editors with the aim of achieving accurate, complete, and transparent reporting of health research studies to support research reproducibility and usefulness (EQUATOR Network, 2017a). While the network highlights commonly utilised generic criteria such as the CONSORT (Schulz ) and STROBE (von Elm ) statements, for the reporting of randomised clinical trials and observational studies, respectively, they also identify issues that continue to limit oncology research reporting (Peron ; Maillet ; Sivendran, Galsky 2016), necessitating the need for oncology-specific resources. This led the investigators and their collaborators to establish the EQUATOR-Oncology sub-network, which aims to aggregate published literature on oncology research methodology and reporting. While initially the focus of EQUATOR-Oncology has been on reporting standards for oncology clinical trials based on core domains common to all types of clinical trials, the next phase will include guidance for efficient research planning and design. Ensuring robustness in the planning of any research project is a key step in obtaining reliable research findings. The EQUATOR-Oncology network, however, will need to build consensus for the more controversial elements of oncology research, such as the need for broader eligibility criteria more reflective of patients treated in routine practice (Srikanthan ) and the appropriate use of informative censoring in cancer trial analyses, thereby avoiding aberrant estimates of treatment effect resulting from censoring rates that are not distributed evenly between comparison arms of trials (Baselga ; Templeton ). The EQUATOR network will also be surveying stakeholders to identify barriers and concerns related to adequate research design and reporting; this is an important venture, and should serve to facilitate increased uptake of high standards.We congratulate the authors on this important and necessary endeavour, which should result in higher-quality study design and reporting for oncology clinical trials. However, it is important to note that the availability of published standards is a first step in improving cancer clinical trials. It will also be necessary to promote endorsement among key stakeholders including researchers, journal editors, professional societies, and the wide spectrum of trial sponsors that include both industry and non-profit agencies. The authors inferred uptake of oncology-specific guidelines from a citation search through Web of Science Core Collection Science Citation Index Expanded (SCI-EXPANDED). They showed that two guidelines (Cheson ; Dohner ) in acute myeloid leukaemia were cited over 1000 times. However, evaluating uptake using citation indices may not accurately measure conformity with reporting standards, and may lead to an exaggerated assessment of the impact of guidelines. Investigators may cite guidelines as justification for methods without providing evidence of compliance with all aspects of the guideline. The support of oncology societies such as the American Society for Clinical Oncology (ASCO) or the European Society for Medical Oncology (ESMO) would be highly desirable and would increase the visibility of the EQUATOR-Oncology network. Additionally, unequivocal endorsement by journal editors would be of value. The work of the EQUATOR investigators has already been bestowed with an award from the Council of Science Editors for improvement of scientific communication through the pursuit of high standards in reporting (EQUATOR Network, 2017b). The investigators will need to use this momentum to seek additional visibility, thereby allowing their recommendations to become mandatory reporting standards for any research study accepted for publication. Adopting such a standard would be critical in promoting ethical conduct, reporting, and publication of oncology research, and would allow the field to continue to advance to the benefit of all stakeholders.
Authors: José Baselga; Mario Campone; Martine Piccart; Howard A Burris; Hope S Rugo; Tarek Sahmoud; Shinzaburo Noguchi; Michael Gnant; Kathleen I Pritchard; Fabienne Lebrun; J Thaddeus Beck; Yoshinori Ito; Denise Yardley; Ines Deleu; Alejandra Perez; Thomas Bachelot; Luc Vittori; Zhiying Xu; Pabak Mukhopadhyay; David Lebwohl; Gabriel N Hortobagyi Journal: N Engl J Med Date: 2011-12-07 Impact factor: 91.245
Authors: Arnoud J Templeton; Olga Ace; Eitan Amir; Francisco Vera-Badillo; Alberto Ocana; Gregory R Pond; Ian F Tannock Journal: Eur J Cancer Date: 2015-02-26 Impact factor: 9.162
Authors: Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke Journal: Lancet Date: 2007-10-20 Impact factor: 79.321
Authors: Ian F Tannock; Eitan Amir; Christopher M Booth; Saroj Niraula; Alberto Ocana; Bostjan Seruga; Arnoud J Templeton; Francisco Vera-Badillo Journal: Lancet Oncol Date: 2016-12 Impact factor: 41.316
Authors: Hartmut Döhner; Elihu H Estey; Sergio Amadori; Frederick R Appelbaum; Thomas Büchner; Alan K Burnett; Hervé Dombret; Pierre Fenaux; David Grimwade; Richard A Larson; Francesco Lo-Coco; Tomoki Naoe; Dietger Niederwieser; Gert J Ossenkoppele; Miguel A Sanz; Jorge Sierra; Martin S Tallman; Bob Löwenberg; Clara D Bloomfield Journal: Blood Date: 2009-10-30 Impact factor: 22.113
Authors: Bruce D Cheson; John M Bennett; Kenneth J Kopecky; Thomas Büchner; Cheryl L Willman; Elihu H Estey; Charles A Schiffer; Hartmut Doehner; Martin S Tallman; T Andrew Lister; Francesco Lo-Coco; Roel Willemze; Andrea Biondi; Wolfgang Hiddemann; Richard A Larson; Bob Löwenberg; Miguel A Sanz; David R Head; Ryuzo Ohno; Clara D Bloomfield; Francesco LoCocco Journal: J Clin Oncol Date: 2003-12-15 Impact factor: 44.544
Authors: A Srikanthan; F Vera-Badillo; J Ethier; R Goldstein; A J Templeton; A Ocana; B Seruga; E Amir Journal: Cancer Treat Rev Date: 2015-12-31 Impact factor: 12.111
Authors: Angela MacCarthy; Shona Kirtley; Jennifer A de Beyer; Douglas G Altman; Iveta Simera Journal: Br J Cancer Date: 2018-02-22 Impact factor: 7.640