Abstract:BackgroundOur prior Systemic Treatment Options for Cancer of the Prostate systematic reviews showed improved survival for men with metastatic hormone-naive prostate cancer when abiraterone acetate plus prednisolone/prednisone (AAP) or docetaxel (Doc), but not zoledronic acid (ZA), were added to androgen-deprivation therapy (ADT). Trial evidence also suggests a benefit of combining celecoxib (Cel) with ZA and ADT. To establish the optimal treatments, a network meta-analysis (NMA) was carried out based on aggreg… Show more
“…This collaboration could be achieved using the prospective framework for adaptive meta-analysis (FAME), which has been successfully used to pool data across ongoing trials of prostate cancer 33 , and helped facilitate the identification of patient subgroups for whom individual treatments may be most effective 34 . In the COVID 19 setting, meta-analysis using individual participant data (IPD) may be key to delineating which treatment strategies are most effective in individual patients 35 .…”
Global health pandemics, such as coronavirus disease 2019 (COVID-19), require efficient and well-conducted trials to determine effective interventions, such as treatments and vaccinations. Early work focused on rapid sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), subsequent in-vitro and in-silico work, along with greater understanding of the different clinical phases of the infection, have helped identify a catalogue of potential therapeutic agents requiring assessment. In a pandemic, there is a need to quickly identify efficacious treatments, and reject those that are non-beneficial or even harmful, using randomised clinical trials. Whilst each potential treatment could be investigated across multiple, separate, competing two-arm trials, this is a very inefficient process. Despite the very large numbers of interventional trials for COVID-19, the vast majority have not used efficient trial designs. Well conducted, adaptive platform trials utilising a multi-arm multi-stage (MAMS) approach provide a solution to overcome limitations of traditional designs. The multi-arm element allows multiple different treatments to be investigated simultaneously against a shared, standard-of-care control arm. The multi-stage element uses interim analyses to assess accumulating data from the trial and ensure that only treatments showing promise continue to recruitment during the next stage of the trial. The ability to test many treatments at once and drop insufficiently active interventions significantly speeds up the rate at which answers can be achieved. This article provides an overview of the benefits of MAMS designs and successes of trials, which have used this approach to COVID-19. We also discuss international collaboration between trial teams, including prospective agreement to synthesise trial results, and identify the most effective interventions. We believe that international collaboration will help provide faster answers for patients, clinicians, and health care systems around the world, including for future waves of COVID-19, and enable preparedness for future global health pandemics.
“…This collaboration could be achieved using the prospective framework for adaptive meta-analysis (FAME), which has been successfully used to pool data across ongoing trials of prostate cancer 33 , and helped facilitate the identification of patient subgroups for whom individual treatments may be most effective 34 . In the COVID 19 setting, meta-analysis using individual participant data (IPD) may be key to delineating which treatment strategies are most effective in individual patients 35 .…”
Global health pandemics, such as coronavirus disease 2019 (COVID-19), require efficient and well-conducted trials to determine effective interventions, such as treatments and vaccinations. Early work focused on rapid sequencing of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), subsequent in-vitro and in-silico work, along with greater understanding of the different clinical phases of the infection, have helped identify a catalogue of potential therapeutic agents requiring assessment. In a pandemic, there is a need to quickly identify efficacious treatments, and reject those that are non-beneficial or even harmful, using randomised clinical trials. Whilst each potential treatment could be investigated across multiple, separate, competing two-arm trials, this is a very inefficient process. Despite the very large numbers of interventional trials for COVID-19, the vast majority have not used efficient trial designs. Well conducted, adaptive platform trials utilising a multi-arm multi-stage (MAMS) approach provide a solution to overcome limitations of traditional designs. The multi-arm element allows multiple different treatments to be investigated simultaneously against a shared, standard-of-care control arm. The multi-stage element uses interim analyses to assess accumulating data from the trial and ensure that only treatments showing promise continue to recruitment during the next stage of the trial. The ability to test many treatments at once and drop insufficiently active interventions significantly speeds up the rate at which answers can be achieved. This article provides an overview of the benefits of MAMS designs and successes of trials, which have used this approach to COVID-19. We also discuss international collaboration between trial teams, including prospective agreement to synthesise trial results, and identify the most effective interventions. We believe that international collaboration will help provide faster answers for patients, clinicians, and health care systems around the world, including for future waves of COVID-19, and enable preparedness for future global health pandemics.
“…Additionally, several meta-analyses have made some cautious, indirect comparisons on the best treatment of mCNPC patients in terms of OS and other end points [25][26][27][28][29][30][31][32]. A 23-27% reduction in the risk of death was observed when ADT was combined with docetaxel compared with ADT alone with pooled HRs of 0.73-0.77, and the addition of abiraterone to ADT resulted in a 37%-40% reduction in risk of death with pooled HRs of 0.60-0.63 (Table 4).…”
Section: Considerations Based On the Trial Data Of Current Agents Incmentioning
Androgen-deprivation therapy (ADT) has been the mainstay of treatment of metastatic prostate cancer since the first report of its hormonal dependence in the 1940s. Since 2015, the addition of docetaxel and the addition of abiraterone to ADT have conferred substantial overall survival benefit in men with metastatic castration-naïve prostate cancer (mCNPC). The shift of these treatment options for metastatic prostate cancer from the castration-resistant setting to the castration-naïve setting has led to new challenges in the management of this disease. It remains to be determined which patients may benefit most from either early concomitant docetaxel or from abiraterone with ADT, since biomarkers for early therapy response and risk stratification are currently lacking. Therefore, the ability to personalize medicine is hampered. Furthermore, the earlier detection of metastatic prostate cancer by using new imaging modalities makes the application of clinical trial results in daily practice increasingly challenging. Recently, both local radiotherapy to the primary tumor combined with ADT and abiraterone combined with ADT showed a survival benefit in low-volume disease patients. The latest data also demonstrated a survival benefit with the addition of apalutamide or enzalutamide to ADT. The extent of metastatic disease may become one of the most important factors to determine treatment choice. In this review article, we summarize trial data to provide guidance for treatment selection in metastatic castration-naïve prostate cancer.
“…In this scenario, network meta-analysis can be used to make optimal use of both the direct and indirect comparisons of treatments from all trials, and to allow the relative effects of all treatments to be ranked (19,20). For example, a network meta-analysis that included the FAME reviews described above plus a trial of of celecoxib, generated a thorough overview of the effects of all current treatments (Figure 2), and provided substantial evidence that overall, abiraterone is the most effective treatment for mHSPC to date (21). However, this is in contrast to the results of a direct comparison of these agents based on a small subset of patients from the STAMPEDE trial (22).…”
Section: Assessing Which Treatments Are Most Effective and For Which Menmentioning
There are many ongoing randomised trials of promising therapies for metastatic hormone sensitive prostate cancer (mHSPC), but standard systematic reviews may not synthesise these in a timely or reliable way. We demonstrate how a novel approach to evidence synthesis is being used to speed up and improve treatment evaluations for mHSPC. This more prospective, dynamic and collaborative approach to systematic reviews of both trial results and individual participant data (IPD) is helping to establish quickly and reliably which treatments are most effective, and for which men. However, mHSPC is a complex disease and trials can be lengthy. Thus, parallel efforts will synthesise further IPD to identify early surrogate endpoints for overall survival and prognostic factors, to reduce the duration of and improve the design of future trials. The STOPCAP M1 repository of IPD will be made available to other researchers for tackling new questions arising. The associated global, collaborative forum will aid strategic and harmonised development of the next generation of mHSPC trials (STOPCAP M1; http:\\www.stopcapm1.org).
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