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This pilot clinical trial aims to assess the real world quality of life and survival of patients treated with therapy that has preliminary evidence of efficacy but uncertainty of the magnitude of clinical benefit or cost effectiveness in subjects with cancer. The goal of this study is to collect real world evidence with respect to quality of life and outcomes to support decision making.
Full description
Clinical practice involves incorporating new data into treatment recommendations including non randomized phase I/II studies. Clinicians' decision-making is swayed by alternative endpoints like response rate (RR), depth of response and progression free survival (PFS), presumed to be surrogates for overall survival (OS). Determination of the added value of these new therapies in terms of outcomes and quality of life (QOL) is challenging in the absence of comparators in trials resulting in increased uncertainty in terms of outcomes, quality of life and cost-effectiveness.
With the possibility of a randomized clinical trial evidence being low in certain populations, the use of real world data (RWD) can provide information regarding therapies with preliminary evidence of efficacy but uncertainty of the magnitude of clinical benefit or cost effectiveness. With RWD, patients may receive access to therapies and participate in the evidence generation package.
This study proposes to use RWD to generate evidence to evaluate therapies with preliminary evidence of efficacy but uncertainty of the magnitude of clinical benefit or cost effectiveness. The key components include regular interval disease assessments (eg radiographic imaging) and collection of patient reported outcomes (PROs) using standardized QOL questionnaires. The aim is to provide high quality real world evidence (RWE) for assessment and economic modelling to reduce uncertainty and facilitate decision-making.
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100 participants in 1 patient group
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Howard Lim, MD; Cheryl Ho, MD
Data sourced from clinicaltrials.gov
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