Dataset Information

Disparity of Race Reporting and Representation in Clinical Trials Leading to Cancer Drug Approvals From 2008 to 2018.

ABSTRACT: Importance:Representative racial/ethnic participation in research, especially in clinical trials that establish standards of care, is necessary to minimize disparities in outcomes and to uphold societal equity in health care. Objective:To evaluate the frequency of race reporting and proportional race representation in trials supporting US Food and Drug Administration (FDA) oncology drug approvals. Design, Setting, and Participants:Database study of all reported trials supporting FDA oncology drug approvals granted between July 2008 and June 2018. Primary reports of trials were obtained from PubMed and ClinicalTrials.gov. Food and Drug Administration approvals were identified using the FDA archives. The US population-based cancer estimates by race were calculated using National Cancer Institute-Surveillance, Epidemiology, and End Results and US Census databases. Main Outcomes and Measures:Primary outcomes were the proportion of trials reporting race and the proportion of patients by race participating in trials. Secondary outcomes included race subgroup analyses reporting and gaps between race proportion in trials and the US population. Descriptive statistics, Fisher exact, and ?2 tests were used to analyze the data. Proportions and odds ratios (OR) with 95% CIs were reported. Results:Among 230 trials with a total of 112?293 participants, 145 (63.0%) reported on at least 1 race, 18 (7.8%) documented the 4 major races in the United States (white, Asian, black, and Hispanic), and 58 (25.2%) reported race subgroup analyses. Reporting on white, Asian, black, and Hispanic races was included in 144 (62.6%), 110 (47.8%), 88 (38.2%), and 23 (10.0%) trials, respectively. Between July 2008 and June 2013 vs July 2013 and June 2018, the number of trials reporting race (45 [56.6%] vs 100 [67.1%]; OR, 1.63; 95% CI, 0.93-2.87; P?=?.09) and race subgroup analysis (13 [16.1%] vs 45 [30.2%]; OR, 2.26, 95% CI, 1.16-4.67; P?=?.03) changed minimally and varied across races. Whites, Asians, blacks, and Hispanics represented 76.3%, 18.3%, 3.1% and 6.1% of trial participants, respectively, and the proportion for each race enrolled over time changed nominally (blacks, 3.6% vs 2.9% and Hispanics, 5.3% vs 6.7%) from July 2008 to June 2013 vs July 2013 to June 2018. Compared with their proportion of US cancer incidence, blacks (22% of expected) and Hispanics (44% of expected) were underrepresented compared with whites (98% of expected) and Asians (438% of expected). Conclusions and Relevance:Race and race subgroup analysis reporting occurs infrequently, and black and Hispanic races are consistently underrepresented compared with their burden of cancer incidence in landmark trials that led to FDA oncology drug approvals. Enhanced minority engagement is needed in trials to ensure the validity of results and reliable benefits to all.

SUBMITTER: Loree JM

PROVIDER: S-EPMC6696743 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Disparity of Race Reporting and Representation in Clinical Trials Leading to Cancer Drug Approvals From 2008 to 2018.

Loree Jonathan M JM Anand Seerat S Dasari Arvind A Unger Joseph M JM Gothwal Anirudh A Ellis Lee M LM Varadhachary Gauri G Kopetz Scott S Overman Michael J MJ Raghav Kanwal K

JAMA oncology 20191010 10

<h4>Importance</h4>Representative racial/ethnic participation in research, especially in clinical trials that establish standards of care, is necessary to minimize disparities in outcomes and to uphold societal equity in health care.<h4>Objective</h4>To evaluate the frequency of race reporting and proportional race representation in trials supporting US Food and Drug Administration (FDA) oncology drug approvals.<h4>Design, setting, and participants</h4>Database study of all reported trials suppo ...[more]

PMID: 31415071

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Project description:BackgroundSystemic progress in improving trial representation is uncertain, and previous analyses of minority trial participation have been limited to small cohorts with limited exploration of driving factors.MethodsWe analyzed detailed trial records from all US clinical trials registered in ClinicalTrials.gov from March 2000 to March 2020. Minority enrollment was compared to 2010 US Census demographic estimates using Wilcoxon test. We utilized logistic regression and generalized linear regression with a logit link to assess the association of possible drivers (including trials' funding source, size, phase, and design) with trials' disclosure of and amount of minority enrollment respectively.FindingsAmong 20,692 US-based trials with reported results (representing ~4·76 million enrollees), only 43% (8,871/20,692) reported any race/ethnicity data. The majority of enrollees were White (median 79·7%; interquartile range [IQR] 61·9-90·0%), followed by Black (10·0%; IQR 2·5-23·5%), Hispanic/Latino (6·0%; IQR 0·43-15·4%), Asian (1·0%; IQR 0·0-4·1%), and American Indian (0·0%; IQR 0·0-0·2%). Median combined enrollment of minority race/ethnicity groups (Black, Hispanic/Latino, Asian, American Indian, Other/Multi) was below census estimates (27·6%) (p<0·001) however increased at an annual rate of 1·7%. Industry and Academic funding were negatively associated with race/ethnicity reporting (Industry adjusted odds ratio [aOR]: 0·42, 95% confidence interval [CI]: 0·38 to 0·46, p<0.0001; Academic aOR: 0·45, CI: 0·41 to 0·50, p<0.0001). Industry also had a negative association with the proportion of minority ethnicity enrollees (aOR: 0·69, CI: 0·60 to 0·79) compared to US Government-funded trials.InterpretationOver the past two decades, the majority of US trials in ClinicalTrials.gov do not report race/ethnicity enrollment data, and minorities are underrepresented in trials with modest improvement over time.FundingStanford Medical Scholars Research Funding, the National Heart, Lung, and Blood Institute, NIH (1K01HL144607) and the American Heart Association/Robert Wood Johnson Medical Faculty Development Program.

Project description:ImportanceWhile there have been multiple assessments of clinical trials leading to anticancer drug approvals by the US Food and Drug Administration (FDA), the cumulative percentage of approvals based on trials with a limitation remains uncertain.ObjectiveTo assess the percentage of clinical trials with limitations in 4 domains-lack of randomization, lack of significant overall survival advantage, inappropriate use of crossover, and use of suboptimal control arms-that led to FDA approvals from June 30, 2014, to July 31, 2019.Design, setting, and participantsThis observational analysis included all anticancer drug indications approved by the FDA from June 30, 2014, through July 31, 2019. All indications were investigated, and each clinical trial was evaluated for design, enrollment period, primary end points, and presence of a limitation in the domains of interest. The standard-of-care therapy was determined by evaluating the literature and published guidelines 1 year prior to the start of clinical trial enrollment. Crossover was examined and evaluated for optimal use. The percentage of approvals based on clinical trials with any or all limitations of interest was then calculated.Main outcomes and measuresEstimated percentage of clinical trials with limitations of interest that led to an anticancer drug marketing authorization by the FDA.ResultsA total of 187 trials leading to 176 approvals for 75 distinct novel anticancer drugs by the FDA were evaluated. Sixty-four (34%) were single-arm clinical trials, and 123 (63%) were randomized clinical trials. A total of 125 (67%) had at least 1 limitation in the domains of interest; 60 of the 125 trials (48%) were randomized clinical trials. Of all 123 randomized clinical trials, 37 (30%) lacked overall survival benefit, 31 (25%) had a suboptimal control, and 17 (14%) used crossover inappropriately.Conclusions and relevanceTwo-thirds of cancer drugs are approved based on clinical trials with limitations in at least 1 of 4 essential domains. Efforts to minimize these limitations at the time of clinical trial design are essential to ensure that new anticancer drugs truly improve patient outcomes over current standards.

Project description:BackgroundProportionate female representation in health research is necessary for scientific rigor and health equity. We aimed to assess the representation of women in clinical trials leading to U.S. Food and Drug Administration (FDA) cancer drug approvals.Materials and methodsTrials supporting FDA cancer drug approvals between July 2008 and June 2018 were sourced from PubMed and ClinicalTrials.gov. The ratio of female to male trial enrollment was compared with cancer incidence and mortality in the U.S. using International Agency for Research on Cancer data. Reproductive tract and breast cancers were excluded. Odds ratios (ORs) and 95% confidence intervals (CIs) comparing trial enrollment with population incidence and mortality were calculated.ResultsA total of 186 trials leading to 170 FDA cancer drug approvals showed slight female underrepresentation compared with overall cancer incidence in the U.S. (OR, 0.97; 95% CI, 0.95-0.98, p < .0001). Female enrollment for drugs approved between 2008-2013 and 2014-2018 was unchanged (OR, 1.02; 95% CI, 0.99-1.05, p = .25). There was slight female underrepresentation in hematological trials (OR, 0.95; 95% CI, 0.91-0.998; p = .040 for leukemia; OR, 0.95; 95% CI, 0.90-0.997; p = .040 for lymphoma) and significant female underrepresentation in colorectal (OR, 0.72; 95% CI, 0.69-0.76; p < .0001), pancreas (OR, 0.85; 95% CI, 0.78-0.93; p = .0004), lung (OR, 0.77; 95% CI, 0.75-0.80; p < .0001), kidney (OR, 0.63; 95% CI, 0.60-0.67; p < .0001), and thyroid cancer trials (OR, 0.26; 95% CI, 0.23-0.28; p < .0001) compared with U.S. incidence.ConclusionsFemale underrepresentation has persisted within solid organ tumor trials but is less notable in hematologic trials. Additional work is required to identify drivers of such disparity.Implications for practiceAdequate gender representation in clinical trials is a matter of health equity. This study demonstrates that women remain underrepresented in trials across hematological and solid organ trials compared with cancer incidence and mortality in women, with the disparity worse in a number of solid organ tumor types. There are thus still significant improvements to be made regarding adequate representation of women in trials. Studies exploring the reasons for ongoing disparity in gender representation are warranted to help clinicians to rectify this.

Project description:ImportanceThe growth of cancer drug spending in the US has outpaced spending in nearly all other sectors, and an increasing proportion of the drug development pipeline is devoted to oncology. In 2018, there was a record number of drugs entering the US market.ObjectiveTo estimate the number of patients with cancer who are eligible for the newly approved drug-indication pairs, and project potential spending and use of the approvals in the US.Design, setting, participantsThis is a retrospective review of 2018 US Food and Drug Administration (FDA) oncology drug approvals with estimation of the eligible population. The cost of new therapy was estimated, and savings from displaced therapies were subtracted. Two-way sensitivity analysis explored uncertainty in pricing and market diffusion. Data were collected between March 1, 2019, and September 30, 2019.ExposuresData related to the cancer drug approval (ie, indications, approval pathway, basis for approval), cancer incidence, and drug price were extracted from publicly available sources, including the FDA, National Cancer Institute, and American Cancer Society websites, as well as the RED BOOK database.Main outcomes and measuresThe primary outcome was the projected net expenditure in the US associated with the new therapies. The secondary outcome described how variable market diffusion and pricing permit expected levels of spending.ResultsA total of 46 oncology approvals were included in the analysis, with 17 novel drugs and 29 new indications. The average price per patient per treatment course was $150 384. From a national perspective and with 100% market diffusion, the projected net expenditure for newly approved drugs was $39.5 billion per year. To maintain the recent trend of cancer drug spending, the 2018 cancer drug approvals need to be used in fewer than 20% of eligible patients.Conclusions and relevanceNew cancer drugs approved by the FDA in 2018 would drastically increase cancer drug spending in the US if used widely. Alternatively, only low-level use of the new drugs is consistent with market forecasting.

Project description:BackgroundRandomized controlled trials (RCTs) are not always well reported, especially in terms of their methodological descriptions. This study aimed to investigate the adherence of methodological reporting complying with CONSORT and explore associated trial level variables in the Chinese nursing care field.MethodsIn June 2012, we identified RCTs published in five leading Chinese nursing journals and included trials with details of randomized methods. The quality of methodological reporting was measured through the methods section of the CONSORT checklist and the overall CONSORT methodological items score was calculated and expressed as a percentage. Meanwhile, we hypothesized that some general and methodological characteristics were associated with reporting quality and conducted a regression with these data to explore the correlation. The descriptive and regression statistics were calculated via SPSS 13.0.ResultsIn total, 680 RCTs were included. The overall CONSORT methodological items score was 6.34 ± 0.97 (Mean ± SD). No RCT reported descriptions and changes in "trial design," changes in "outcomes" and "implementation," or descriptions of the similarity of interventions for "blinding." Poor reporting was found in detailing the "settings of participants" (13.1%), "type of randomization sequence generation" (1.8%), calculation methods of "sample size" (0.4%), explanation of any interim analyses and stopping guidelines for "sample size" (0.3%), "allocation concealment mechanism" (0.3%), additional analyses in "statistical methods" (2.1%), and targeted subjects and methods of "blinding" (5.9%). More than 50% of trials described randomization sequence generation, the eligibility criteria of "participants," "interventions," and definitions of the "outcomes" and "statistical methods." The regression analysis found that publication year and ITT analysis were weakly associated with CONSORT score.ConclusionsThe completeness of methodological reporting of RCTs in the Chinese nursing care field is poor, especially with regard to the reporting of trial design, changes in outcomes, sample size calculation, allocation concealment, blinding, and statistical methods.

Dataset Information

Disparity of Race Reporting and Representation in Clinical Trials Leading to Cancer Drug Approvals From 2008 to 2018.

Publications

Disparity of Race Reporting and Representation in Clinical Trials Leading to Cancer Drug Approvals From 2008 to 2018.

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