Literature DB >> 27624983

TREATMENT SWITCHING IN CANCER TRIALS: ISSUES AND PROPOSALS.

Chris Henshall1, Nicholas R Latimer2, Lloyd Sansom3, Robyn L Ward4.   

Abstract

OBJECTIVES: Treatment switching occurs when patients in a randomized clinical trial switch from the treatment initially assigned to them to another treatment, typically from the control to experimental treatment. This study discusses the issues this raises and possible approaches to addressing them in trials of cancer drugs.
METHODS: Stakeholders from around the world were invited to a 1.5-day Workshop in Adelaide, Australia. This study attempts to capture the key points from the discussion and the perspectives of the various stakeholder groups, but is not a formal consensus statement.
RESULTS: Treatment switching raises challenging ethical issues with arguments for and against allowing it. It is increasingly common in cancer drug trials and presents challenges for the interpretation of results by regulators, clinicians, patients, and payers. Proposals are offered for good practice in the design, management, and analysis of trials and wider development programs for cancer drugs in which treatment switching has occurred or is likely to. Recommendations are also offered for further action to improve understanding of the importance and challenges of treatment switching and to promote agreement between key stakeholders on guidelines and other steps to address these challenges.
CONCLUSIONS: The handling of treatment switching in trials is of concern to all stakeholders. On the basis of the discussions at the Adelaide International Workshop, there would appear to be common ground on approaches to addressing treatment switching in cancer trials and scope for the development of formal guidelines to inform the work of regulators, payers, industry, trial designers and other stakeholders.

Entities:  

Keywords:  Cancer; Clinical trials; Decision making; Ethics; Treatment switching

Mesh:

Year:  2016        PMID: 27624983     DOI: 10.1017/S026646231600009X

Source DB:  PubMed          Journal:  Int J Technol Assess Health Care        ISSN: 0266-4623            Impact factor:   2.188


  7 in total

1.  Two-stage estimation to adjust for treatment switching in randomised trials: a simulation study investigating the use of inverse probability weighting instead of re-censoring.

Authors:  N R Latimer; K R Abrams; U Siebert
Journal:  BMC Med Res Methodol       Date:  2019-03-29       Impact factor: 4.615

2.  Causal inference for long-term survival in randomised trials with treatment switching: Should re-censoring be applied when estimating counterfactual survival times?

Authors:  N R Latimer; I R White; K R Abrams; U Siebert
Journal:  Stat Methods Med Res       Date:  2018-06-25       Impact factor: 3.021

3.  Trends in the crossover of patients in phase III oncology clinical trials in the USA.

Authors:  Justin Yeh; Shruti Gupta; Sunny J Patel; Vamsi Kota; Achuta K Guddati
Journal:  Ecancermedicalscience       Date:  2020-11-13

4.  A modified weighted log-rank test for confirmatory trials with a high proportion of treatment switching.

Authors:  José L Jiménez; Julia Niewczas; Alexander Bore; Carl-Fredrik Burman
Journal:  PLoS One       Date:  2021-11-15       Impact factor: 3.240

5.  When is crossover desirable in cancer drug trials and when is it problematic?

Authors:  A Haslam; V Prasad
Journal:  Ann Oncol       Date:  2018-05-01       Impact factor: 51.769

6.  Improved two-stage estimation to adjust for treatment switching in randomised trials: g-estimation to address time-dependent confounding.

Authors:  N R Latimer; I R White; K Tilling; U Siebert
Journal:  Stat Methods Med Res       Date:  2020-03-30       Impact factor: 3.021

7.  Prioritisation and design of clinical trials.

Authors:  Anna Heath; M G Myriam Hunink; Eline Krijkamp; Petros Pechlivanoglou
Journal:  Eur J Epidemiol       Date:  2021-06-06       Impact factor: 8.082

  7 in total

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