Pablo S. Monterroso, Sarah Lucht, Jeannette M. Sample, Angela D. Trobaugh-Lotrario, Helen M. Parsons, Lucie M. Turcotte, David Van Riper, Jenny N. Poynter, Erin L. Marcotte
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Odds ratios (ORs) and 95% CIs were estimated to examine associations between characteristics and three outcomes (therapeutic trial [referent], exclusively non-therapeutic study, no trial or study). Statistical significance tests were two-sided.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Approximately half of all cases enrolled in therapeutic trials for both tumor types (Wilms: 48%; hepatoblastoma: 51%). For Wilms tumor, patients diagnosed at ages 3–5 years were more likely to enroll compared to those diagnosed at age < 1 year (RR = 1.06; 95% CI = 1.01, 1.13) and had lower odds of joining exclusively a non-therapeutic study compared to those diagnosed at age < 1 years (OR = 0.63; 95% CI = 0.44, 0.90). There was no association between race, ethnicity, or SES and enrollment. For hepatoblastoma, no variables indicated any statistically significant difference in enrollment.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Few differences in clinical trial enrollment were observed during periods when trials were available for all risk groups, a promising sign of equity in pediatric oncology clinical trial recruitment. 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引用次数: 0
摘要
已发表的儿童癌症研究已经观察到不同种族、民族、社会经济地位(SES)和诊断年龄在治疗试验入组方面的差异。本研究探讨了小儿肿瘤临床试验的入组模式。方法:我们分析了儿童肿瘤组临床试验纳入的肝母细胞瘤(n = 212)和Wilms肿瘤(n = 1107)患儿队列的差异。根据患者特征估计入组试验的相对风险(RRs)和95%置信区间(95% ci)。估计比值比(or)和95% ci来检查特征与三个结果(治疗性试验[参考文献]、完全非治疗性研究、无试验或研究)之间的关联。统计学显著性检验是双侧的。大约一半的病例参加了两种肿瘤类型的治疗试验(Wilms: 48%;肝母细胞癌:51%)。对于Wilms肿瘤,3-5岁诊断的患者比1岁诊断的患者更有可能入组(RR = 1.06;95% CI = 1.01, 1.13),与1岁时确诊的患者相比,单纯参加非治疗性研究的几率更低(OR = 0.63;95% ci = 0.44, 0.90)。种族、民族或社会经济地位与入学没有关联。对于肝母细胞瘤,没有变量表明入组人数有统计学上的显著差异。结论:在所有风险组均可参加临床试验期间,临床试验入组的差异不大,这是儿科肿瘤临床试验招募公平的一个有希望的迹象。在Wilms肿瘤病例中,观察到诊断年龄的差异,这是疾病敏锐度的潜在代表,可能影响决策。
Patterns of Clinical Trial Enrollment for Pediatric Patients With Hepatoblastoma and Wilms Tumor: A Report From the Children's Oncology Group
Background
Published childhood cancer studies have observed differences in therapeutic trial enrollment by race, ethnicity, socioeconomic status (SES), and age at diagnosis. Our study investigates patterns of enrollment for pediatric oncology clinical trials.
Methods
We analyzed differences in Children's Oncology Group clinical trial enrollment in a cohort of pediatric patients with hepatoblastoma (n = 212) and Wilms tumor (n = 1107). Relative risks (RRs) and 95% confidence intervals (95% CIs) were estimated for trial enrollment by patient characteristics. Odds ratios (ORs) and 95% CIs were estimated to examine associations between characteristics and three outcomes (therapeutic trial [referent], exclusively non-therapeutic study, no trial or study). Statistical significance tests were two-sided.
Results
Approximately half of all cases enrolled in therapeutic trials for both tumor types (Wilms: 48%; hepatoblastoma: 51%). For Wilms tumor, patients diagnosed at ages 3–5 years were more likely to enroll compared to those diagnosed at age < 1 year (RR = 1.06; 95% CI = 1.01, 1.13) and had lower odds of joining exclusively a non-therapeutic study compared to those diagnosed at age < 1 years (OR = 0.63; 95% CI = 0.44, 0.90). There was no association between race, ethnicity, or SES and enrollment. For hepatoblastoma, no variables indicated any statistically significant difference in enrollment.
Conclusions
Few differences in clinical trial enrollment were observed during periods when trials were available for all risk groups, a promising sign of equity in pediatric oncology clinical trial recruitment. Among Wilms tumor cases, differences in enrollment were observed for age at diagnosis, a potential proxy for disease acuity, which may influence decision making.
期刊介绍:
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.