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Disparities in patient enrollment on glioblastoma clinical trials
AIM: To determine if enrollment on glioblastoma (GBM) interventional clinical trials (ICTs) in the USA is representative of the population. MATERIALS & METHODS: We queried ClinicalTrials.gov for all ICTs in GBM from 1994 to 2019. Demographics were obtained from ClinicalTrials.gov or the trial pu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Future Medicine Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341158/ https://www.ncbi.nlm.nih.gov/pubmed/32603616 http://dx.doi.org/10.2217/cns-2020-0008 |
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author | Liu, Yang Wasilewski, Andrea Mohile, Nimish A |
author_facet | Liu, Yang Wasilewski, Andrea Mohile, Nimish A |
author_sort | Liu, Yang |
collection | PubMed |
description | AIM: To determine if enrollment on glioblastoma (GBM) interventional clinical trials (ICTs) in the USA is representative of the population. MATERIALS & METHODS: We queried ClinicalTrials.gov for all ICTs in GBM from 1994 to 2019. Demographics were obtained from ClinicalTrials.gov or the trial publication and compared with population data from Central Brain Tumor Registry of the United States. RESULTS: In total, 10617 GBM patients were enrolled in 118 adult ICTs: median age was 54.0 (10.05 years younger than Central Brain Tumor Registry of the United States). Age was most discrepant in recurrent tumors, nonrandomized trials and consortium studies. Median age improved from 52.0 to 59.5 over 25 years. Women represented 37.5% of subjects. CONCLUSION: GBM ICTs under-represent older patients but representation of women reflects the population. ICTs need to be designed to better represent the population. |
format | Online Article Text |
id | pubmed-7341158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Future Medicine Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-73411582020-07-14 Disparities in patient enrollment on glioblastoma clinical trials Liu, Yang Wasilewski, Andrea Mohile, Nimish A CNS Oncol Short Communication AIM: To determine if enrollment on glioblastoma (GBM) interventional clinical trials (ICTs) in the USA is representative of the population. MATERIALS & METHODS: We queried ClinicalTrials.gov for all ICTs in GBM from 1994 to 2019. Demographics were obtained from ClinicalTrials.gov or the trial publication and compared with population data from Central Brain Tumor Registry of the United States. RESULTS: In total, 10617 GBM patients were enrolled in 118 adult ICTs: median age was 54.0 (10.05 years younger than Central Brain Tumor Registry of the United States). Age was most discrepant in recurrent tumors, nonrandomized trials and consortium studies. Median age improved from 52.0 to 59.5 over 25 years. Women represented 37.5% of subjects. CONCLUSION: GBM ICTs under-represent older patients but representation of women reflects the population. ICTs need to be designed to better represent the population. Future Medicine Ltd 2020-06-30 /pmc/articles/PMC7341158/ /pubmed/32603616 http://dx.doi.org/10.2217/cns-2020-0008 Text en © 2020 Nimish Mohile This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License (http://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Short Communication Liu, Yang Wasilewski, Andrea Mohile, Nimish A Disparities in patient enrollment on glioblastoma clinical trials |
title | Disparities in patient enrollment on glioblastoma clinical trials |
title_full | Disparities in patient enrollment on glioblastoma clinical trials |
title_fullStr | Disparities in patient enrollment on glioblastoma clinical trials |
title_full_unstemmed | Disparities in patient enrollment on glioblastoma clinical trials |
title_short | Disparities in patient enrollment on glioblastoma clinical trials |
title_sort | disparities in patient enrollment on glioblastoma clinical trials |
topic | Short Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341158/ https://www.ncbi.nlm.nih.gov/pubmed/32603616 http://dx.doi.org/10.2217/cns-2020-0008 |
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