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Age and race distribution in patients in phase III oncology clinical trials

ABSTRACT: Background: Geriatric patients and minority patients are often under-represented in cancer clinical trials. The presence of multiple comorbidities makes geriatric patients ineligible for most clinical trials. Racial diversity may vary by geographical location and socio-economically backward areas may have a very different racial mix. The increase in cancer incidence in geriatric patients’ raises the question of applicability of the results is such clinical trials. This study also explores the representation of different races in phase 3 clinical trials conducted in the past 10 years. Methods: Data about Phase III trials was extracted from the clinical trials.gov for 3 common solid organs and 3 hematological malignancies [breast, colon, lung, diffuse large B-cell lymphoma (DLBCL), acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL)]. The time period studied was for the past 10 years and included only adult patients (?18 years). The age and race distribution of the patient population in these trials were extracted and analyzed. Results: Geriatric patients and minorities are under-represented in all phase III cancer clinical trials. The range of the proportion of geriatric patients varied from 10% to 40%. African American and Asian patients are under-represented in all phase III cancer clinical trials. Conclusions: The results of phase III clinical trials that are currently conducted on non-geriatric and Caucasian patient population may not meaningfully be applicable to geriatric patients and minorities. This study highlights the disparity of age and race for patients enrolled in clinical trials as against the patients seen in the real world.

SUBMITTER: Gopishetty S

PROVIDER: S-EPMC7540092 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe incorporation of crossover in randomised controlled trials is accepted as an ethical obligation, especially in cancer clinical trials. The more common type of crossover is crossover allowance, which allows patients assigned to one arm to switch to another arm if there is an established benefit in the crossover arm. In contrast, crossover-designed studies involve switching patients from all arms to a different arm as part of the study design. Crossover allowance may have advantages in patient recruitment and incorporating crossover after initial positive results fulfil ethical requirements. However, crossover can also contribute to confounding major endpoints of studies, such as overall survival or the second progression-free survival interval. For this reason, it is important to investigate and identify potential trends of crossover in clinical trials testing novel therapies.MethodsData about cancer clinical trials were extracted from clinicaltrials.gov. The search query was limited to completed phase III studies in adult populations. Location was limited to the USA. Date range extended from 1990 to 2019. Search query included the terms: cancer; completed- recruitment status; age: 18-65+ years; sex: all; location: USA; and study phase: phase 3. Studies were then excluded if they were not randomised controlled trials (RCTs) with the primary purpose of treatment and if they did not test cancer-related interventions.ResultsA total of 744 clinical trials were identified. There were 459 RCTs aimed at treatment, and of those, 35 utilised crossover. The start dates of these crossover trials ranged from 1997 to 2012. Thirty studies utilised crossover allowance. Prostate, breast and gastrointestinal stromal tumour cancers were the most represented cancer types in crossover studies. Among the 30 studies, the median proportion of patients who crossed over relative to the original arm assignment ranged from 2% to 88%, with a median of 57.5%.ConclusionsThe proportion of identified clinical trials with crossover compared to those without is extremely small. Crossover in clinical trials studying cancer treatment does not appear to be a widespread practice. Even though statistical approaches to mitigate confounding exist, crossover can still skew accurate reporting of the impact of experimental therapies on overall survival.

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Age and race distribution in patients in phase III oncology clinical trials

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