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Harrop S, Dickinson M. Eligibility for clinical trials in diffuse large B-cell lymphoma: are we sweating the small stuff? Leuk Lymphoma 2024:1-3. [PMID: 39235067 DOI: 10.1080/10428194.2024.2400217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2024] [Accepted: 08/30/2024] [Indexed: 09/06/2024]
Affiliation(s)
- Sean Harrop
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Michael Dickinson
- Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, Australia
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Sekar RR, Maganty A, Stensland KD, Herrel LA. Association of Community-Level Social Vulnerability With Clinical Trial Discussion and Participation Among Cancer Survivors. JCO Oncol Pract 2024:OP2400206. [PMID: 39208361 DOI: 10.1200/op.24.00206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 06/26/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024] Open
Abstract
PURPOSE Community factors and structural barriers may contribute to disparities and underrepresentation in cancer clinical trials. We evaluate the influence of community-level social determinants of health, as measured by the Centers for Disease Control and Prevention Social Vulnerability Index (SVI), on disparities in cancer clinical trial discussion and participation. METHODS We performed a cross-sectional analysis of the 2021 Health Information National Trends Survey-SEER, a representative survey of cancer survivors sampled from three SEER registries. The primary outcomes included patient-reported clinical trial discussion and participation. The primary exposure was county-level SVI, linked to each survey respondent by ZIP code of residence and categorized into quintiles. Survey-weighted bivariate comparisons and multivariable logistic regression were performed to evaluate the association between SVI and clinical trial discussion and participation, adjusting for age, sex, race and ethnicity, education, income, and cancer stage. RESULTS We identified 1,220 respondents residing in 153 counties with a median SVI of 0.41 (IQR, 0.27-0.62), representing a population of over 400,000 cancer survivors on weighted analysis. Of the cohort, 15.1% reported clinical trial discussion and 7.7% reported clinical trial participation. Patients who are most socially vulnerable (fifth quintile of SVI) had significantly lower odds of clinical trial discussion (odds ratio [OR], 0.36 [95% CI, 0.15 to 0.87]; P = .02) and clinical trial participation (OR, 0.15 [95% CI, 0.03 to 0.75]; P = .02) compared with patients who are least socially vulnerable (first quintile of SVI). CONCLUSION These findings suggest interventions to identify socially vulnerable communities for expansion of clinical trial opportunities and infrastructure may be an impactful strategy toward improving diversity and representation in cancer clinical trials.
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Affiliation(s)
- Rishi R Sekar
- Department of Urology, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
- National Clinician Scholars Program, University of Michigan, Ann Arbor, MI
| | - Avinash Maganty
- Department of Urology, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
| | - Kristian D Stensland
- Department of Urology, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
| | - Lindsey A Herrel
- Department of Urology, University of Michigan, Ann Arbor, MI
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI
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3
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Xiao H, Vaidya R, Hershman DL, Unger JM. Impact of Broadening Trial Eligibility Criteria on the Inclusion of Patients With Brain Metastases in Cancer Clinical Trials: Time Series Analyses for 2012-2022. J Clin Oncol 2024; 42:1953-1960. [PMID: 38537158 DOI: 10.1200/jco.23.01777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 01/12/2024] [Accepted: 02/08/2024] [Indexed: 05/31/2024] Open
Abstract
PURPOSE In October 2017, an ASCO, Friends of Cancer Research (FoCR), and US Food and Drug Administration (ASCO/FoCR/FDA) task force recommended that common eligibility criteria be modified to make trials more inclusive. We examined whether patterns of exclusions regarding patients with brain metastases changed over time in relation to these recommendations. METHODS Trial eligibility criteria were abstracted from ClinicalTrials.gov for phase I-III US-based interventional clinical trials for patients with advanced breast, colorectal, lung, or melanoma cancers from January 2012 to December 2022. Trials were examined to determine whether patients with brain metastases were not excluded, conditionally excluded (ie, excluded in some circumstances), or wholly excluded. An interrupted time series analysis with multinomial logistic regression was used to determine whether the ASCO/FoCR/FDA recommendations were associated with changes in brain metastases criteria. RESULTS We evaluated N = 3,077 trials. Patients with brain metastases were not excluded in 506 trials (16.4%), conditionally excluded in 2,263 trials (73.5%), and wholly excluded in 308 trials (10.0%). In the postrecommendation period, we estimated a 68% increase in the odds of brain metastases not excluded compared with conditionally excluded (odds ratio, 1.68 [95% CI, 1.06 to 2.66], P = .03). The proportion of trials in which patients with brain metastases were not excluded increased (from 11.5% v 17.3%) and conditionally excluded decreased (from 82.3% to 75.2%, P = .03). We found no difference in the proportion of trials in which patients with brain metastases were wholly excluded (7.5% v 6.2%, P = .42). CONCLUSION The ASCO/FoCR/FDA task force recommendations were associated with a shift in patterns of brain metastases exclusion criteria from conditionally excluded to not excluded. These findings demonstrate that the cancer clinical trial community has begun to change the way trials are written to be more inclusive.
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Affiliation(s)
- Hong Xiao
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Riha Vaidya
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA
| | | | - Joseph M Unger
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA
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Ruiz J, Kelly RK, Aplenc R, Laetsch TW, Seif AE. Absolute neutrophil count clinical trial eligibility criteria for pediatric oncology phase I and phase I/II trials by sponsorship. Pediatr Blood Cancer 2024; 71:e30925. [PMID: 38409529 DOI: 10.1002/pbc.30925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/03/2024] [Accepted: 02/09/2024] [Indexed: 02/28/2024]
Abstract
Normal absolute neutrophil count (ANC) variations, as seen with Duffy-null associated neutrophil count (DANC), are not accounted for in trial eligibility, which may contribute to racial enrollment disparities. We describe ANC eligibility for pediatric oncology phase I/II clinical trials according to primary sponsorship from 2010 to 2023 using ClinicalTrials.gov. Out of 438 trials, 20% were industry-sponsored. Total 17% of trials required ANC ≥1500 cells/μL for enrollment; however, industry-sponsored trials were significantly more likely to require ANC ≥1500 cells/μL than non-industry-sponsored trials (odds ratio 2.53, 95% confidence interval: 1.39-4.62; p < .001). These data suggest laboratory exclusion criteria are one possible mechanism for pediatric clinical trial enrollment disparities.
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Affiliation(s)
- Jenny Ruiz
- Department of Pediatrics, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Rebecca K Kelly
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Richard Aplenc
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Theodore W Laetsch
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Alix E Seif
- Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
- Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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5
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Budhu JA, Chukwueke UN, Jackson S, Lee EQ, McFaline-Figueroa JR, Willmarth N, Dalmage M, Kawachi I, Arons D, Chang SM, Galanis E, Hervey-Jumper SL, Wen PY, Porter AB. Defining interventions and metrics to improve diversity in CNS clinical trial participation: A SNO and RANO effort. Neuro Oncol 2024; 26:596-608. [PMID: 38071654 PMCID: PMC10995510 DOI: 10.1093/neuonc/noad242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024] Open
Abstract
Despite major strides in cancer research and therapy, these advances have not been equitable across race and ethnicity. Historically marginalized groups (HMG) are more likely to have inadequate preventive screening, increased delays in diagnosis, and poor representation in clinical trials. Notably, Black, Hispanic, and Indigenous people represent 30% of the population but only 9% of oncology clinical trial participants. As a result, HMGs lack equitable access to novel therapies, contradicting the principle of distributive justice, as enshrined in the Belmont report, which demands the equitable selection of subjects in research involving human subjects. The lack of clinical trial diversity also leads to low generalizability and potentially harmful medical practices. Specifically, patients with brain cancer face unique barriers to clinical trial enrollment and completion due to disease-specific neurologic and treatment-induced conditions. Collectively, the intersection of these disease-specific conditions with social determinants of health fosters a lack of diversity in clinical trials. To ameliorate this disparity in neuro-oncology clinical trial participation, we present interventions focused on improving engagement of HMGs. Proposals range from inclusive trial design, decreasing barriers to care, expanding trial eligibility, access to tumor profiling for personalized medical trials, setting reasonable metrics and goals for accrual, working with patient community stakeholders, diversifying the neuro-oncology workforce, and development of tools to overcome biases with options to incentivize equity. The diversification of participation amongst neuro-oncology clinical trials is imperative. Equitable access and inclusion of HMG patients with brain tumors will not only enhance research discoveries but will also improve patient care.
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Affiliation(s)
- Joshua A Budhu
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Department of Neurology, Weill Cornell Medicine, Joan & Sanford I. Weill Medical College of Cornell University, New York, New York, USA
| | - Ugonma N Chukwueke
- Division of Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Division of Neuro-Oncology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sadhana Jackson
- Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
- Pediatric Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Eudocia Q Lee
- Division of Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Division of Neuro-Oncology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - J Ricardo McFaline-Figueroa
- Division of Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Division of Neuro-Oncology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Mahalia Dalmage
- Division of Biological Sciences, University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA
| | - Ichiro Kawachi
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - David Arons
- National Brain Tumor Society, Newton, Massachusetts, USA
| | - Susan M Chang
- Division of Neuro-Oncology, University of California San Francisco and Weill Institute for Neurosciences, San Francisco, California, USA
| | | | - Shawn L Hervey-Jumper
- Department of Neurological Surgery, University of California San Francisco and Weill Institute for Neurosciences, San Francisco, California, USA
| | - Patrick Y Wen
- Division of Neuro-Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Division of Neuro-Oncology, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Alyx B Porter
- Department of Neurology, Mayo Clinic Cancer Center, Phoenix, Arizona, USA
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6
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Hoin JA, Carthon BC, Brown SJ, Durham LM, Garrot LC, Ghamande SA, Pippas AW, Rivers BM, Snyder CT, Gabram-Mendola SGA. Addressing disparities in cancer clinical trials: a roadmap to more equitable accrual. FRONTIERS IN HEALTH SERVICES 2024; 4:1254294. [PMID: 38523649 PMCID: PMC10957576 DOI: 10.3389/frhs.2024.1254294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 02/27/2024] [Indexed: 03/26/2024]
Abstract
The Georgia Center for Oncology Research and Education (Georgia CORE) and the Georgia Society of Clinical Oncology (GASCO) held a one-day summit exploring opportunities and evidence-based interventions to address disparities in cancer clinical trials. The purpose of the summit was to identify clear and concise recommendations aimed at decreasing clinical trial accrual disparities in Georgia for rural and minority populations. The summit included expert presentations, panel discussions with leaders from provider organizations throughout Georgia, and breakout sessions to allow participants to critically discuss the information presented. Over 120 participants attended the summit. Recognizing the need for evidence-based interventions to improve clinical trial accrual among rural Georgians and persons of color, summit participants identified four key areas of focus that included: improving clinical trial design, providing navigation for all, enhancing public education and awareness of cancer clinical trials, and identifying potential policy and other opportunities. A comprehensive list of takeaways and action plans was developed in the four key areas of focus with the expectation that implementation of the strategies that emerged from the summit will enhance cancer clinical trial accrual for all Georgians.
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Affiliation(s)
- Jon A. Hoin
- Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Bradley C. Carthon
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA, United States
| | - Shantoria J. Brown
- Georgia Center for Oncology Research and Education, Atlanta, CO, United States
| | - Lynn M. Durham
- Georgia Center for Oncology Research and Education, Atlanta, CO, United States
| | | | - Sharad A. Ghamande
- Department of Obstetrics and Gynecology, Augusta University, Augusta, GA, United States
| | | | - Brian M. Rivers
- Cancer Health Equity Institute, Morehouse School of Medicine, Atlanta, GA, United States
| | - Cindy T. Snyder
- Georgia Center for Oncology Research and Education, Atlanta, CO, United States
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Hartley-Brown M, Cole CE, Price P, Andreini M, Mulligan G, Young AQ, Cho HJ. Creating Equitable and Inclusive Clinical Trials for Multiple Myeloma. CLINICAL LYMPHOMA, MYELOMA & LEUKEMIA 2024; 24:32-39. [PMID: 37783639 DOI: 10.1016/j.clml.2023.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 09/07/2023] [Accepted: 09/11/2023] [Indexed: 10/04/2023]
Abstract
Black and Latino/Hispanic populations are disproportionately impacted by multiple myeloma (MM) in the United States and are underrepresented in many clinical trials. The Multiple Myeloma Research Foundation sponsored a 1-day workshop of 46 experts spanning the ecosystem of MM research and care, including government, academia, nonprofits, pharma/biotech, community partners, and retail pharmacy. Specific, tangible steps to overcome the well-documented barriers to improving the diversity and inclusivity of clinical trials were discussed, including broadening inclusion/exclusion criteria, reducing the financial and other burdens of trial participants, selecting diverse study sites, including implicit bias training, and taking steps to empower patients.
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Affiliation(s)
| | - Craig E Cole
- Michigan State University-Karmanos Cancer Institute, Lansing, MI
| | | | | | | | | | - Hearn Jay Cho
- Multiple Myeloma Research Foundation, Norwalk, CT; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY.
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Praiss AM, Miller A, Smith J, Lichtman SM, Bookman M, Aghajanian C, Sabbatini P, Backes F, Cohn DE, Argenta P, Friedlander M, Goodheart MJ, Mutch DG, Gershenson DM, Tewari KS, Wenham RM, Wahner Hendrickson AE, Lee RB, Gray H, Secord AA, Van Le L, O'Cearbhaill RE. Carboplatin dosing in the treatment of ovarian cancer: An NRG oncology group study. Gynecol Oncol 2023; 174:213-223. [PMID: 37229879 PMCID: PMC10330633 DOI: 10.1016/j.ygyno.2023.05.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 05/11/2023] [Accepted: 05/12/2023] [Indexed: 05/27/2023]
Abstract
OBJECTIVE To determine the effects of using National Comprehensive Cancer Network (NCCN) guidelines to estimate renal function on carboplatin dosing and explore adverse effects associated with a more accurate estimation of lower creatinine clearance (CrCl). METHODS Retrospective data were obtained for 3830 of 4312 patients treated on GOG182 (NCT00011986)-a phase III trial of platinum-based chemotherapy for advanced-stage ovarian cancer. Carboplatin dose per patient on GOG182 was determined using the Jelliffe formula. We recalculated CrCl to determine dosing using Modification of Diet in Renal Disease (MDRD) and Cockcroft-Gault (with/without NCCN recommended modifications) formulas. Associations between baseline CrCl and toxicity were described using the area under the receiver operating characteristic curve (AUC). Sensitivity and positive predictive values described the model's ability to discriminate between subjects with/without the adverse event. RESULTS AUC statistics (range, 0.52-0.64) showed log(CrClJelliffe) was not a good predictor of grade ≥3 adverse events (anemia, thrombocytopenia, febrile neutropenia, auditory, renal, metabolic, neurologic). Of 3830 patients, 628 (16%) had CrCl <60 mL/min. Positive predictive values for adverse events ranged from 1.8%-15%. Using the Cockcroft-Gault, Cockcroft-Gault with NCCN modifications, and MDRD (instead of Jelliffe) formulas to estimate renal function resulted in a >10% decrease in carboplatin dosing in 16%, 32%, and 5.2% of patients, respectively, and a >10% increase in carboplatin dosing in 41%, 9.6% and 12% of patients, respectively. CONCLUSION The formula used to estimate CrCl affects carboplatin dosing. Estimated CrCl <60 mL/min (by Jelliffe) did not accurately predict adverse events. Efforts continue to better predict renal function. Endorsing National Cancer Institute initiatives to broaden study eligibility, our data do not support a minimum threshold CrCl <60 mL/min as an exclusion criterion from clinical trials.
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Affiliation(s)
- Aaron M Praiss
- Gynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America.
| | - Austin Miller
- NRG Oncology Statistics and Data Center, Roswell Park Cancer Institute, Buffalo, NY, United States of America.
| | - Judith Smith
- McGovern Medical School, The University of Texas Health Science Center, Houston, TX, United States of America.
| | - Stuart M Lichtman
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
| | - Michael Bookman
- Department of Medical Oncology, Kaiser-Permanente Northern California, San Francisco, CA, United States of America.
| | - Carol Aghajanian
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
| | - Paul Sabbatini
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
| | - Floor Backes
- Department of Oncology, James Cancer Center, Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America.
| | - David E Cohn
- Department of Oncology, James Cancer Center, Ohio State University Comprehensive Cancer Center, Columbus, OH, United States of America.
| | - Peter Argenta
- Department of Obstetrics, Gynecology and Women's Health, Division of Gynecologic Oncology, University of Minnesota, Minneapolis, MN, United States of America.
| | - Michael Friedlander
- Department of Medical Oncology, Prince of Wales Hospital and Prince of Wales Clinical School, UNSW, Sydney, New South Wales, Australia.
| | - Michael J Goodheart
- Gynecologic Oncology, University of Iowa Hospitals, Iowa City, IA, United States of America.
| | - David G Mutch
- Gynecologic Oncology, Washington University, St. Louis, MO, United States of America.
| | - David M Gershenson
- Gynecologic Oncology, University of Texas, MD Anderson Cancer Center, Houston, TX, United States of America.
| | - Krishnansu S Tewari
- Gynecologic Oncology, University of California, Irvine Medical Center, Orange, CA, USA.
| | - Robert M Wenham
- Gynecologic Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America.
| | | | - Roger B Lee
- Gynecologic Oncology, Tacoma General Hospital, Tacoma, WA, United States of America
| | - Heidi Gray
- Gynecologic Oncology, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
| | - Angeles Alvarez Secord
- Gynecologic Oncology, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States of America.
| | - Linda Van Le
- Gynecologic Oncology, University of North Carolina, United States of America.
| | - Roisin E O'Cearbhaill
- Gynecologic Medical Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, United States of America; Department of Medicine, Weill Cornell Medical College, New York, NY, United States of America.
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Stensland KD, Richesson RL, Vince RA, Skolarus TA, Sales AE. Evolving a national clinical trials learning health system. Learn Health Syst 2023; 7:e10327. [PMID: 37066100 PMCID: PMC10091198 DOI: 10.1002/lrh2.10327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 05/26/2022] [Accepted: 06/28/2022] [Indexed: 11/07/2022] Open
Abstract
Clinical trials generate key evidence to inform decision making, and also benefit participants directly. However, clinical trials frequently fail, often struggle to enroll participants, and are expensive. Part of the problem with trial conduct may be the disconnected nature of clinical trials, preventing rapid data sharing, generation of insights and targeted improvement interventions, and identification of knowledge gaps. In other areas of healthcare, a learning health system (LHS) has been proposed as a model to facilitate continuous learning and improvement. We propose that an LHS approach could greatly benefit clinical trials, allowing for continuous improvements to trial conduct and efficiency. A robust trial data sharing system, continuous analysis of trial enrollment and other success metrics, and development of targeted trial improvement interventions are potentially key components of a Trials LHS reflecting the learning cycle and allowing for continuous trial improvement. Through the development and use of a Trials LHS, clinical trials could be treated as a system, producing benefits to patients, advancing care, and decreasing costs for stakeholders.
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Affiliation(s)
| | - Rachel L. Richesson
- Department of Learning Health SciencesUniversity of MichiganAnn ArborMichiganUSA
| | - Randy A. Vince
- Department of UrologyUniversity of MichiganAnn ArborMichiganUSA
| | - Ted A. Skolarus
- Department of UrologyUniversity of MichiganAnn ArborMichiganUSA
- Center for Clinical Management ResearchVA Ann Arbor Healthcare SystemAnn ArborMichiganUSA
| | - Anne E. Sales
- Department of Learning Health SciencesUniversity of MichiganAnn ArborMichiganUSA
- Center for Clinical Management ResearchVA Ann Arbor Healthcare SystemAnn ArborMichiganUSA
- Sinclair School of NursingUniversity of MissouriColumbiaMissouriUSA
- Department of Family and Community MedicineUniversity of Missouri School of MedicineColumbiaMissouriUSA
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10
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Versavel S, Subasinghe A, Johnson K, Golonski N, Muhlhausen J, Perry P, Sanchez R. Diversity, equity, and inclusion in clinical trials: A practical guide from the perspective of a trial sponsor. Contemp Clin Trials 2023; 126:107092. [PMID: 36702295 DOI: 10.1016/j.cct.2023.107092] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 12/15/2022] [Accepted: 01/17/2023] [Indexed: 01/24/2023]
Abstract
BACKGROUND Considering diversity, equity, and inclusion (DEI) in clinical trials ensures that data collected for investigational treatments reflect the populations most likely to benefit from those therapies. Resources and recommendations regarding DEI were assembled by the trial sponsor to assist clinical trial development. METHODS A cross-disciplinary team from the sponsoring organization was assembled to inform trial planning and collate resources that promote DEI throughout the clinical trial life cycle. RESULTS Representatives from clinical operations, health economic outcomes research, medical affairs, patient advocacy, procurement, and research and development functional groups united together to implement DEI strategies in clinical trials. Planning strategies focus on eligibility, participant/patient engagement, feedback through patient advocacy organizations, and community interactions. Informed site, investigator, and vendor selection at trial startup supports efforts to recruit diverse target trial populations and engage underrepresented businesses; establishing relationships and demographic target-goal tracking should be maintained throughout trial management. Continued communication during trial closeout consolidates learnings and enhances partnerships with trial participants and patient advocacy organizations. The sponsoring organization continuously updates an internal library of resources to facilitate implementation of outlined strategies. CONCLUSIONS This first iteration of guidance intends to improve the representation of target populations who will ultimately benefit from investigational therapies; to assist sponsor clinical trial teams in developing recruitment and retention plans; and to ensure compliance with federal granting agencies. The sponsoring organization anticipates data from future clinical trials will help characterize the impact of these initiatives to ensure evidence-based practices are used in future clinical trials to enhance DEI.
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Chang SK, Liu D, Mitchem J, Papageorgiou C, Kaifi J, Shyu CR. Understanding common key indicators of successful and unsuccessful cancer drug trials using a contrast mining framework on ClinicalTrials.gov. J Biomed Inform 2023; 139:104321. [PMID: 36806327 DOI: 10.1016/j.jbi.2023.104321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Revised: 02/04/2023] [Accepted: 02/11/2023] [Indexed: 02/18/2023]
Abstract
Clinical trials are essential to the process of new drug development. As clinical trials involve significant investments of time and money, it is crucial for trial designers to carefully investigate trial settings prior to designing a trial. Utilizing trial documents from ClinicalTrials.gov, we aim to understand the common characteristics of successful and unsuccessful cancer drug trials to provide insights about what to learn and what to avoid. In this research, we first computationally classified cancer drug trials into successful and unsuccessful cases and then utilized natural language processing to extract eligibility criteria information from the trial documents. To provide explainable and potentially modifiable recommendations for new trial design, contrast mining was applied to discoverhighly contrasted patterns with a significant difference in prevalence between successful (completion with advancement to the next phase) and unsuccessful (suspended, withdrawn, or terminated) groups. Our method identified contrast patterns consisting of combinations of drug categories, eligibility criteria, study organization, and study design for nine major cancers. In addition to a literature review for the qualitative validation of mined contrast patterns, we found that contrast-pattern-based classifiers using the top 200 contrast patterns as feature representations can achieve approximately 80% F1 score for eight out of ten cancer types in our experiments. In summary, aligning with the modernization efforts of ClinicalTrials.gov, our study demonstrates that understanding the contrast characteristics of successful and unsuccessful cancer trials may provide insights into the decision-making process for trial investigators and therefore facilitate improved cancer drug trial design.
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Affiliation(s)
- Shu-Kai Chang
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA
| | - Danlu Liu
- Electrical Engineering and Computer Science Department, University of Missouri, Columbia, MO 65211, USA
| | - Jonathan Mitchem
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA; Department of Surgery, School of Medicine, University of Missouri, Columbia, MO 65212, USA; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO 65201, USA
| | - Christos Papageorgiou
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO 65212, USA
| | - Jussuf Kaifi
- Department of Surgery, School of Medicine, University of Missouri, Columbia, MO 65212, USA; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO 65201, USA
| | - Chi-Ren Shyu
- Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA; Electrical Engineering and Computer Science Department, University of Missouri, Columbia, MO 65211, USA; Department of Medicine, School of Medicine, University of Missouri, Columbia, MO 65212, USA.
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12
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Washington V, Franklin JB, Huang ES, Mega JL, Abernethy AP. Diversity, Equity, and Inclusion in Clinical Research: A Path Toward Precision Health for Everyone. Clin Pharmacol Ther 2023; 113:575-584. [PMID: 36423203 DOI: 10.1002/cpt.2804] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022]
Abstract
Healthcare disparities are a persistent societal problem. One of the contributing factors to this status quo is the lack of diversity and representativeness of research efforts, which result in nongeneralizable evidence that, in turn, provides suboptimal means to enable the best possible outcomes at the individual level. There are several strategies that research teams can adopt to improve the diversity, equity, and inclusion (DEI) of their efforts; these strategies span the totality of the research path, from initial design to the shepherding of clinical data through a potential regulatory process. These strategies include more intentionality and DEI-based goal-setting, more diverse research and leadership teams, better community engagement to set study goals and approaches, better tailored outreach interventions, decentralization of study procedures and incorporation of innovative technology for more flexible data collection, and self-surveillance to identify and prevent biases. Within their remit of overlooking research efforts, regulatory authorities, as stakeholders, also have the potential for a positive effect on the DEI of emerging clinical evidence. All these are implementable tools and mechanisms that can make study participation more approachable to diverse communities, and ultimately generate evidence that is more generalizable and a conduit for better outcomes. The research community has an imperative to make DEI principles key foundational aspects in study conduct in order to pursue better personalized medicine for diverse patient populations.
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Affiliation(s)
| | | | - Erich S Huang
- Verily Life Sciences, South San Francisco, California, USA
| | - Jessica L Mega
- Verily Life Sciences, South San Francisco, California, USA
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13
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Riner AN, Freudenberger DC, Herremans KM, Vudatha V, Neal DW, George TJ, Trevino JG. Call to action: overcoming enrollment disparities in cancer clinical trials with modernized eligibility criteria. JNCI Cancer Spectr 2023; 7:7049523. [PMID: 36806713 PMCID: PMC9978314 DOI: 10.1093/jncics/pkad009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/26/2022] [Accepted: 02/03/2023] [Indexed: 02/23/2023] Open
Abstract
Traditional clinical trial eligibility criteria restrict study populations, perpetuating enrollment disparities. We aimed to assess implementation of modernized eligibility criteria guidelines among pancreatic cancer (PC) clinical trials. Interventional PC trials in the United States since January 1, 2014, were identified via clinicaltrials.gov with December 31, 2017, as the transition for pre- and postguidance eras. Trials were assessed for guideline compliance and compared using Fisher exact test. In total, 198 trials were identified: 86 (43.4%) were pre- and 112 (56.6%) postguidance era. Improvements were seen in allowing patients with history of HIV (8.6% vs 43.8%; P < .0001), prior cancer (57.0% vs 72.3%; P = .034), or concurrent and/or stable cancer (2.1% vs 31.1%; P < .0001) to participate. Most (>95%) trials were compliant with laboratory reference ranges, QT interval corrected for heart rate (QTc) cutoffs, and rationalizing excluding prior therapies both pre- and postguidance eras. However, overall compliance with modernized criteria remains poor. We advocate for stakeholders to update protocols and scrutinize traditionally restrictive eligibility criteria.
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Affiliation(s)
- Andrea N Riner
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Devon C Freudenberger
- Department of Surgery, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Kelly M Herremans
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Vignesh Vudatha
- Department of Surgery, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
| | - Daniel W Neal
- Department of Surgery, University of Florida College of Medicine, Gainesville, FL, USA
| | - Thomas J George
- Department of Medicine, Division of Hematology and Oncology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Jose G Trevino
- Department of Surgery, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.,Massey Cancer Center, Virginia Commonwealth University School of Medicine, Richmond, VA, USA
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14
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Chen J, Lu Y, Kummar S. Increasing patient participation in oncology clinical trials. Cancer Med 2023; 12:2219-2226. [PMID: 36043431 PMCID: PMC9939168 DOI: 10.1002/cam4.5150] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/08/2022] [Indexed: 11/11/2022] Open
Abstract
AIM Timely recruitment of eligible participants is essential for the success of clinical trials, with insufficient accrual being the leading cause for premature termination of both oncology and non-oncology trials. METHODS In this paper we further elaborate on the challenges for patient participation in oncology trials from physician, patient, healthcare system, and some trial-related perspectives. RESULTS We present strategies such as use of digital healthcare technologies, real-world data and real-world evidence, decentralized clinical trials, pragmatic trial designs, and supportive services to increase patient participation. CONCLUSIONS Multifaceted measures are necessary to increase patient participation, especially for those who are under-represented in cancer trials.
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Affiliation(s)
- Jie Chen
- Department of Biometrics, Overland Pharmaceuticals, Dover, Delaware, USA
| | - Ying Lu
- Department of Biomedical Data Science and Stanford Cancer Institute, Stanford University, Palo Alto, California, USA
| | - Shivaani Kummar
- Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, USA
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15
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Rafee A, Riepenhausen S, Neuhaus P, Meidt A, Dugas M, Varghese J. ELaPro, a LOINC-mapped core dataset for top laboratory procedures of eligibility screening for clinical trials. BMC Med Res Methodol 2022; 22:141. [PMID: 35568796 PMCID: PMC9107639 DOI: 10.1186/s12874-022-01611-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/20/2022] [Indexed: 12/21/2022] Open
Abstract
Background Screening for eligible patients continues to pose a great challenge for many clinical trials. This has led to a rapidly growing interest in standardizing computable representations of eligibility criteria (EC) in order to develop tools that leverage data from electronic health record (EHR) systems. Although laboratory procedures (LP) represent a common entity of EC that is readily available and retrievable from EHR systems, there is a lack of interoperable data models for this entity of EC. A public, specialized data model that utilizes international, widely-adopted terminology for LP, e.g. Logical Observation Identifiers Names and Codes (LOINC®), is much needed to support automated screening tools. Objective The aim of this study is to establish a core dataset for LP most frequently requested to recruit patients for clinical trials using LOINC terminology. Employing such a core dataset could enhance the interface between study feasibility platforms and EHR systems and significantly improve automatic patient recruitment. Methods We used a semi-automated approach to analyze 10,516 screening forms from the Medical Data Models (MDM) portal’s data repository that are pre-annotated with Unified Medical Language System (UMLS). An automated semantic analysis based on concept frequency is followed by an extensive manual expert review performed by physicians to analyze complex recruitment-relevant concepts not amenable to automatic approach. Results Based on analysis of 138,225 EC from 10,516 screening forms, 55 laboratory procedures represented 77.87% of all UMLS laboratory concept occurrences identified in the selected EC forms. We identified 26,413 unique UMLS concepts from 118 UMLS semantic types and covered the vast majority of Medical Subject Headings (MeSH) disease domains. Conclusions Only a small set of common LP covers the majority of laboratory concepts in screening EC forms which supports the feasibility of establishing a focused core dataset for LP. We present ELaPro, a novel, LOINC-mapped, core dataset for the most frequent 55 LP requested in screening for clinical trials. ELaPro is available in multiple machine-readable data formats like CSV, ODM and HL7 FHIR. The extensive manual curation of this large number of free-text EC as well as the combining of UMLS and LOINC terminologies distinguishes this specialized dataset from previous relevant datasets in the literature. Supplementary Information The online version contains supplementary material available at 10.1186/s12874-022-01611-y.
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Affiliation(s)
- Ahmed Rafee
- Institute of Medical Informatics, University of Münster, Münster, Germany. .,Department of Internal Medicine (D), University Hospital of Münster, Münster, Germany.
| | - Sarah Riepenhausen
- Institute of Medical Informatics, University of Münster, Münster, Germany
| | - Philipp Neuhaus
- Institute of Medical Informatics, University of Münster, Münster, Germany
| | - Alexandra Meidt
- Institute of Medical Informatics, University of Münster, Münster, Germany
| | - Martin Dugas
- Institute of Medical Informatics, Heidelberg University Hospital, Heidelberg, Germany
| | - Julian Varghese
- Institute of Medical Informatics, University of Münster, Münster, Germany.
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16
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Benbow JH, Rivera DR, Lund JL, Feldman JE, Kim ES. Increasing Inclusiveness of Patient-Centric Clinical Evidence Generation in Oncology: Real-World Data and Clinical Trials. Am Soc Clin Oncol Educ Book 2022; 42:1-11. [PMID: 35561304 DOI: 10.1200/edbk_350574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Rapid advancements in cancer discovery, diagnosis, and treatment options available to patients with cancer have highlighted the need for enhancements in clinical trial design. The drug development process is costly, with more than 80% of trials failing to reach recruitment targets. Historical approaches to trial design are increasingly burdensome and lack real-world application in the intent-to-treat patient population. Equitable access to clinical trials combined with increased availability of real-world data are creating new opportunities for inclusiveness, improved outcomes, and evidence-based advances in therapies that will generate more generalizable data to better inform clinical decision-making. Clinical trials need to be inclusive if lifesaving data are not to be missed and investigational therapies are to be more accessible to a broader patient base. Real-world data can facilitate the conduct of studies that are identifying and understanding where disparities exist and developing new interventions to improve patient care. The clinical trial design process should be a multistakeholder and consensus- and evidence-driven process in which stakeholders are working together across the health care industry to close the care gap and ensure elimination of barriers that prevent equal access to specialized cancer care and advanced therapies available in clinical trials. The patient voice is essential throughout the trial process; however, it is often excluded from the design process. Integrating real-world data as well as ensuring patient involvement in early trial design during drug development can enhance enrollment and retention, leading to greater diversity.
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Affiliation(s)
| | - Donna R Rivera
- Oncology Center of Excellence, U.S. Food and Drug Administration, Silver Spring, MD
| | - Jennifer L Lund
- Department of Epidemiology, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, NC.,Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jill E Feldman
- Lung Cancer Patient and Advocate and EGFR Resisters, Deerfield, IL
| | - Edward S Kim
- City of Hope National Medical Center, Los Angeles, CA
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17
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Haynes RM, Sirintrapun SJ, Gao J, McKenzie AJ. Using Technology to Enhance Cancer Clinical Trial Participation. Am Soc Clin Oncol Educ Book 2022; 42:1-7. [PMID: 35486887 DOI: 10.1200/edbk_349671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
The COVID-19 pandemic presented many challenges to health care systems, including oncology clinical research programs. There were substantial negative effects on oncology clinical trial screening, enrollment, and study activities that forced institutions and regulatory bodies to develop innovative solutions to maintain robust and equitable participation in these trials. Digital pathology innovations at Memorial Sloan Kettering Cancer Center have streamlined the diagnostic life cycle for patients with cancer, and the seamless integration of digital pathology services with next-generation sequencing and other molecular pathology services have accelerated the time to diagnosis and receipt of molecular results. Timely access to these results, coupled with Memorial Sloan Kettering Cancer Center's knowledge engine OncoKB, enhances patient clinical trial coordination precisely and efficiently. At the Sarah Cannon Research Institute, centralized remote clinical trial matching and screening, virtual molecular tumor boards, and centralized molecular interpretation support services have empowered clinic staff to identify more efficiently potential participants in clinical research, despite the COVID-19 pandemic. In addition, the U.S. Food and Drug Administration Oncology Center of Excellence has been involved in several efforts to address challenges for patients with cancer during the COVID-19 pandemic, including writing guidance documents and participating in efforts to modernize clinical trials. The enclosed personal experience of a patient with cancer currently participating in an oncology clinical trial emphasizes the need for continued decreasing of barriers to study participation. Clinical trial advances that were accelerated by the pandemic will ultimately help patients with cancer and the greater oncology health care community.
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Affiliation(s)
- Rudene Mercer Haynes
- Breast cancer survivor, clinical trial participant, and partner at Hunton Andrews Kurth LLP, Richmond, VA
| | | | - Jennifer Gao
- U.S. Food and Drug Administration, Oncology Center of Excellence, Silver Springs, MD
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18
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Garrick O, Mesa R, Ferris A, Kim ES, Mitchell E, Brawley OW, Carpten J, Carter KD, Coney J, Winn R, Monroe S, Sandoval F, Perez E, Williams M, Grove E, Highsmith Q, Richie N, Begelman SM, Collins AS, Freedman J, Gonzales MS, Wilson G. Advancing Inclusive Research: Establishing Collaborative Strategies to Improve Diversity in Clinical Trials. Ethn Dis 2022; 32:61-68. [PMID: 35106045 PMCID: PMC8785867 DOI: 10.18865/ed.32.1.61] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2023] Open
Abstract
Well-characterized disparities in clinical research have disproportionately affected patients of color, particularly in underserved communities. To tackle these barriers, Genentech formed the External Council for Advancing Inclusive Research, a 14-person committee dedicated to developing strategies to increase clinical research participation. To help improve the recruitment and retention of patients of color, this article chronicles our efforts to tangibly address the clinical research barriers at the system, study, and patient levels over the last four years. These efforts are one of the initial steps to fully realize the promise of personalized health care and provide increased patient benefit at less cost to society. Instead of simply acknowledging the problem, here we illuminate the collaborative and multilevel strategies that have been effective in delivering meaningful progress for patients.
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Affiliation(s)
| | - Ruben Mesa
- Mays Cancer Center at UT Health San Antonio, San Antonio, TX
| | | | | | - Edith Mitchell
- Sidney Kimmel Cancer Center – Jefferson Health, Philadelphia, PA
| | - Otis W. Brawley
- The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD
| | - John Carpten
- Department of Translational Genomics, Keck School of Medicine of University of Southern California, Los Angeles, CA
| | - Keith D. Carter
- Department of Ophthalmology, University of Iowa, Iowa City, IA
| | | | - Robert Winn
- Massey Cancer Center, Virginia Commonwealth University, Richmond, VA
| | | | | | - Edith Perez
- Division of Hematology and Oncology, Mayo Clinic, Jacksonville, FL
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19
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Accelerating cancer clinical trial recruitment through a financial reimbursement program integrated with patient navigation: an interrupted time series analysis. J Cancer Policy 2021; 30:100305. [DOI: 10.1016/j.jcpo.2021.100305] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 08/27/2021] [Accepted: 08/31/2021] [Indexed: 11/21/2022]
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20
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Bringing safe and effective therapies to premenopausal women with breast cancer: efforts to broaden eligibility criteria. Ann Oncol 2021; 32:950-953. [PMID: 33991601 DOI: 10.1016/j.annonc.2021.05.356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 11/23/2022] Open
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21
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Giantonio BJ. Eligibility in Cancer Clinical Research: The Intersection of Discovery, Generalizability, Beneficence, and Justice. Clin Cancer Res 2021; 27:2369-2371. [PMID: 33602680 DOI: 10.1158/1078-0432.ccr-21-0085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 02/09/2021] [Accepted: 02/15/2021] [Indexed: 11/16/2022]
Abstract
Eligibility criteria in clinical trials limit the study population for safety and scientific purposes. The American Society of Clinical Oncology and The Friends of Cancer Research collaboration reconsidered common eligibility criteria in cancer trials and found many to be unnecessarily restrictive. The current recommendations further their efforts to facilitate accrual and improve the generalizability of research results to practice.See related articles, p. 2394, 2400, 2408, 2416, 2424, and 2430.
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Affiliation(s)
- Bruce J Giantonio
- Division of Hematology and Oncology, Massachusetts General Hospital, Boston, Massachusetts.
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