ESMO Open · 2023 · 19 citations · 15 references
MedicineOncologyCancer EpidemiologyClinical EpidemiologyEpidemiologic MethodsCancer DisparitiesCancer Health DisparitiesClinical TrialsClinical Trials In OncologyStudy DesignCancer Disparities MeasurementClinical Trial Participation DisparitiesConfidence Intervals For Odds RatiosEarly-phase Clinical TrialsGender Disparities In CancerLogistic RegressionLogistic Regression AnalysisPatient Access Barriers
•Results evidenced three main inequality factors: care pathway, geographic location and sex.•Gynecological cancer patients have poorer access to experimental treatment.•Territorial challenges are essential when considering the development of early-phase clinical trials.•Further studies on the disparities in the access to early-phase clinical trials should be undertaken. BackgroundInvestigation of the disparities in the access to experimental treatment in early-phase clinical trials is lacking. The objective of the EGALICAN-2 study was to identify the factors underpinning such inequalities.MethodsA national prospective survey was conducted in 11 early-phase clinical trial centers (CLIP2) certified by the French National Cancer Institute. Sociodemographic, socioeconomic and medical data were collected. Univariate logistic regression models were carried out to estimate odds ratios and 90% confidence intervals associated with the effect of each study variable. A multivariate logistic regression model was built to explore the independent factors associated with the administration of the experimental treatment (C1D1). A post hoc analysis was carried out excluding female cancer patients.ResultsBetween 2015 and 2016, 1355 patients referred from 11 CLIP2 centers in France were included in the study. Eight hundred and forty-eight patients received C1D1 (73%) and 320 patients (27%) were screening failure. Median age was 58 years (range 17-97 years) and 667 patients (54%) were female. Most patients had a metastatic disease (n = 751, 87%). In the multivariate logistic regression analysis, the significant independent factors associated with C1D1 were male sex, initial care received in a hospital with an early-phase unit and living in wealthy metropolitan areas (P values <0.05). In the post hoc analysis, the sex factor was no longer significant [odds ratio = 1.21 (95% confidence interval 0.86-1.70), P value = 0.271].ConclusionsThis study investigated the factors producing social inequalities in the context of early-phase clinical trials in oncology. Our research highlights factors of sex, care pathway and geographic location. Gynecological cancer was found to impact C1D1 significantly, unlike breast cancer. The results of this study should contribute to improve patient access to early-phase clinical trials. Investigation of the disparities in the access to experimental treatment in early-phase clinical trials is lacking. The objective of the EGALICAN-2 study was to identify the factors underpinning such inequalities. A national prospective survey was conducted in 11 early-phase clinical trial centers (CLIP2) certified by the French National Cancer Institute. Sociodemographic, socioeconomic and medical data were collected. Univariate logistic regression models were carried out to estimate odds ratios and 90% confidence intervals associated with the effect of each study variable. A multivariate logistic regression model was built to explore the independent factors associated with the administration of the experimental treatment (C1D1). A post hoc analysis was carried out excluding female cancer patients. Between 2015 and 2016, 1355 patients referred from 11 CLIP2 centers in France were included in the study. Eight hundred and forty-eight patients received C1D1 (73%) and 320 patients (27%) were screening failure. Median age was 58 years (range 17-97 years) and 667 patients (54%) were female. Most patients had a metastatic disease (n = 751, 87%). In the multivariate logistic regression analysis, the significant independent factors associated with C1D1 were male sex, initial care received in a hospital with an early-phase unit and living in wealthy metropolitan areas (P values <0.05). In the post hoc analysis, the sex factor was no longer significant [odds ratio = 1.21 (95% confidence interval 0.86-1.70), P value = 0.271]. This study investigated the factors producing social inequalities in the context of early-phase clinical trials in oncology. Our research highlights factors of sex, care pathway and geographic location. Gynecological cancer was found to impact C1D1 significantly, unlike breast cancer. The results of this study should contribute to improve patient access to early-phase clinical trials.
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Participation in Cancer Clinical Trials
Vivek H. Murthy, Harlan M. Krumholz, Cary P. Gross · JAMA · 2004 · 2.1K citations
Grégoire Rey, Éric Jougla, Anne Fouillet et al. · BMC Public Health · 2009 · 628 citations · Full text