Philip J Lupo, David A Siegel, Nicola C Schussler, Todd A Alonzo, Suzanne Adams, David Angelaszek, Shanthala Basavappa, Tiffany M Chambers, Linda Coyle, Eric Durbin, Johanna L Goderre, Tiffany Hayes, Will Howe, Elizabeth Hsu, Richard Lee, Denise R Lewis, Angela B Mariotto, Brad H Pollock, Anca Preda, Michael E Roth, Jennifer Stevens, Tina Terranova, Sarah L Vargas, Douglas S Hawkins, Lynne Penberthy
{"title":"Enrollment in children’s oncology group’s clinical trials: population-based linkage with the national childhood cancer registry","authors":"Philip J Lupo, David A Siegel, Nicola C Schussler, Todd A Alonzo, Suzanne Adams, David Angelaszek, Shanthala Basavappa, Tiffany M Chambers, Linda Coyle, Eric Durbin, Johanna L Goderre, Tiffany Hayes, Will Howe, Elizabeth Hsu, Richard Lee, Denise R Lewis, Angela B Mariotto, Brad H Pollock, Anca Preda, Michael E Roth, Jennifer Stevens, Tina Terranova, Sarah L Vargas, Douglas S Hawkins, Lynne Penberthy","doi":"10.1093/jnci/djaf134","DOIUrl":null,"url":null,"abstract":"Background Improvements in outcomes among children and adolescents diagnosed with cancer are attributable to many factors—including clinical trials such as those administered through the Children’s Oncology Group (COG), as well as population-based resources like the National Childhood Cancer Registry (NCCR). The objective of this study was to link COG trial data with the NCCR to evaluate overall enrollment patterns. Methods Data were received from the NCCR and COG, which were linked using an array of variables and then compared to evaluate enrollment patterns in COG studies from 2007-2018. Multivariable logistic regression was used to identify characteristics associated with not being enrolled in a COG study. Results Among 134,696 NCCR cancer patients, 51,062 matched with COG study enrollees. There were several differences in demographic and clinical characteristics between those enrolled and not enrolled in COG studies. Enrollment was higher among children aged 0-4 years compared to adolescents aged 15-19 years (53.7% vs 20.1%). Differences by race/ethnicity were also observed; for example, those who identified as non-Hispanic White were more likely to be enrolled than those who identified as non-Hispanic Asian/Pacific Islander (38.8% vs 32.9%). In a multivariable logistic regression model, several characteristics were significantly associated with not being enrolled in a COG study, including age at diagnosis, year of diagnosis, race/ethnicity, and cancer type. Conclusion Our results suggest that several groups are underrepresented in COG clinical trials. This information can help guide the prioritization of population groups for engagement in future studies.","PeriodicalId":501635,"journal":{"name":"Journal of the National Cancer Institute","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the National Cancer Institute","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jnci/djaf134","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background Improvements in outcomes among children and adolescents diagnosed with cancer are attributable to many factors—including clinical trials such as those administered through the Children’s Oncology Group (COG), as well as population-based resources like the National Childhood Cancer Registry (NCCR). The objective of this study was to link COG trial data with the NCCR to evaluate overall enrollment patterns. Methods Data were received from the NCCR and COG, which were linked using an array of variables and then compared to evaluate enrollment patterns in COG studies from 2007-2018. Multivariable logistic regression was used to identify characteristics associated with not being enrolled in a COG study. Results Among 134,696 NCCR cancer patients, 51,062 matched with COG study enrollees. There were several differences in demographic and clinical characteristics between those enrolled and not enrolled in COG studies. Enrollment was higher among children aged 0-4 years compared to adolescents aged 15-19 years (53.7% vs 20.1%). Differences by race/ethnicity were also observed; for example, those who identified as non-Hispanic White were more likely to be enrolled than those who identified as non-Hispanic Asian/Pacific Islander (38.8% vs 32.9%). In a multivariable logistic regression model, several characteristics were significantly associated with not being enrolled in a COG study, including age at diagnosis, year of diagnosis, race/ethnicity, and cancer type. Conclusion Our results suggest that several groups are underrepresented in COG clinical trials. This information can help guide the prioritization of population groups for engagement in future studies.
诊断为癌症的儿童和青少年预后的改善可归因于许多因素,包括通过儿童肿瘤小组(COG)管理的临床试验,以及国家儿童癌症登记处(NCCR)等基于人群的资源。本研究的目的是将COG试验数据与NCCR联系起来,以评估总体入组模式。方法从NCCR和COG获得数据,使用一系列变量将其联系起来,然后比较2007-2018年COG研究的入组模式。使用多变量逻辑回归来确定未被纳入COG研究的相关特征。结果在134,696名NCCR癌症患者中,51,062名与COG研究参与者匹配。参加和未参加COG研究的患者在人口学和临床特征方面存在一些差异。0-4岁儿童的入组率高于15-19岁青少年(53.7% vs 20.1%)。还观察到种族/民族的差异;例如,那些被认定为非西班牙裔白人的人比那些被认定为非西班牙裔亚裔/太平洋岛民的人更有可能被录取(38.8%对32.9%)。在多变量logistic回归模型中,有几个特征与未参加COG研究显著相关,包括诊断时的年龄、诊断年份、种族/民族和癌症类型。结论我们的研究结果表明,在COG临床试验中,有几个群体的代表性不足。这些信息有助于指导在今后的研究中确定人口群体的优先次序。