Cargando…
How current reporting practices may mask differences: A call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials
BACKGROUND: A lack of diversity among clinical trial (CT) participants remains a critical problem. Few studies have examined recruitment variability in cancer treatment CTs by cancer type. Given the increasing organ-specific specialization of oncologic care, an understanding of this variability may...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915794/ https://www.ncbi.nlm.nih.gov/pubmed/31872154 http://dx.doi.org/10.1016/j.conctc.2019.100476 |
_version_ | 1783480099099639808 |
---|---|
author | Borno, Hala T. Small, Eric J. Zhang, Li DeRouen, Mindy C. Griffin, Ann McGuire, Joseph Ryan, Charles J. Hiatt, Robert A. Kaplan, Celia P. |
author_facet | Borno, Hala T. Small, Eric J. Zhang, Li DeRouen, Mindy C. Griffin, Ann McGuire, Joseph Ryan, Charles J. Hiatt, Robert A. Kaplan, Celia P. |
author_sort | Borno, Hala T. |
collection | PubMed |
description | BACKGROUND: A lack of diversity among clinical trial (CT) participants remains a critical problem. Few studies have examined recruitment variability in cancer treatment CTs by cancer type. Given the increasing organ-specific specialization of oncologic care, an understanding of this variability may affect institutional recruitment practices. METHODS: This study examines three data sources from 2010 through 2014. The analyzed sample includes 3,580 CT participants identified in the institutional Clinical Trials Management System (CTMS) database and 20,305 incident cases of invasive cancer within a Comprehensive Cancer Center (CCC) institutional catchment area. A total of 341,114 incident cases of primary invasive cancer were identified through the California Cancer Registry (CCR). The primary study measurements were sociodemographic characteristics of the three populations (age, sex, race/ethnicity, and health insurance). RESULTS: Racial/ethnic disparities were observed, with more incident cases of Whites seen in cancer center (68%) and enrolled in CTs (72%) compared to incident cases in catchment area (67%) (p < 0.001) overall. More older adults (65) were enrolled in prostate cancer CTs (58%) than seen in cancer center (45%) (p < 0.001). Alternatively, fewer older adults were enrolled in breast and colorectal CTs than seen in cancer center (p < 0.001). Among colon (p < 0.001), breast (p < 0.001), and prostate (p<0.001) cancer types, insurance type significantly varied between incident cases in catchment area, cancer center, and among CT participants. For colorectal cancer, no difference in sex distribution was observed overall. A significant difference in insurance type within each cancer type was observed (p < 0.001). CONCLUSIONS: These findings suggest that reporting overall recruitment frequencies may mask differences by cancer type. |
format | Online Article Text |
id | pubmed-6915794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-69157942019-12-23 How current reporting practices may mask differences: A call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials Borno, Hala T. Small, Eric J. Zhang, Li DeRouen, Mindy C. Griffin, Ann McGuire, Joseph Ryan, Charles J. Hiatt, Robert A. Kaplan, Celia P. Contemp Clin Trials Commun Article BACKGROUND: A lack of diversity among clinical trial (CT) participants remains a critical problem. Few studies have examined recruitment variability in cancer treatment CTs by cancer type. Given the increasing organ-specific specialization of oncologic care, an understanding of this variability may affect institutional recruitment practices. METHODS: This study examines three data sources from 2010 through 2014. The analyzed sample includes 3,580 CT participants identified in the institutional Clinical Trials Management System (CTMS) database and 20,305 incident cases of invasive cancer within a Comprehensive Cancer Center (CCC) institutional catchment area. A total of 341,114 incident cases of primary invasive cancer were identified through the California Cancer Registry (CCR). The primary study measurements were sociodemographic characteristics of the three populations (age, sex, race/ethnicity, and health insurance). RESULTS: Racial/ethnic disparities were observed, with more incident cases of Whites seen in cancer center (68%) and enrolled in CTs (72%) compared to incident cases in catchment area (67%) (p < 0.001) overall. More older adults (65) were enrolled in prostate cancer CTs (58%) than seen in cancer center (45%) (p < 0.001). Alternatively, fewer older adults were enrolled in breast and colorectal CTs than seen in cancer center (p < 0.001). Among colon (p < 0.001), breast (p < 0.001), and prostate (p<0.001) cancer types, insurance type significantly varied between incident cases in catchment area, cancer center, and among CT participants. For colorectal cancer, no difference in sex distribution was observed overall. A significant difference in insurance type within each cancer type was observed (p < 0.001). CONCLUSIONS: These findings suggest that reporting overall recruitment frequencies may mask differences by cancer type. Elsevier 2019-10-28 /pmc/articles/PMC6915794/ /pubmed/31872154 http://dx.doi.org/10.1016/j.conctc.2019.100476 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Borno, Hala T. Small, Eric J. Zhang, Li DeRouen, Mindy C. Griffin, Ann McGuire, Joseph Ryan, Charles J. Hiatt, Robert A. Kaplan, Celia P. How current reporting practices may mask differences: A call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials |
title | How current reporting practices may mask differences: A call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials |
title_full | How current reporting practices may mask differences: A call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials |
title_fullStr | How current reporting practices may mask differences: A call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials |
title_full_unstemmed | How current reporting practices may mask differences: A call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials |
title_short | How current reporting practices may mask differences: A call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials |
title_sort | how current reporting practices may mask differences: a call for examining cancer-specific demographic enrollment patterns in cancer treatment clinical trials |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6915794/ https://www.ncbi.nlm.nih.gov/pubmed/31872154 http://dx.doi.org/10.1016/j.conctc.2019.100476 |
work_keys_str_mv | AT bornohalat howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials AT smallericj howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials AT zhangli howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials AT derouenmindyc howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials AT griffinann howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials AT mcguirejoseph howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials AT ryancharlesj howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials AT hiattroberta howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials AT kaplanceliap howcurrentreportingpracticesmaymaskdifferencesacallforexaminingcancerspecificdemographicenrollmentpatternsincancertreatmentclinicaltrials |