• Significant disparities exist in cancer outcomes. We examined demographic and geographic representation for pivotal trials in lymphomas.

Despite the advances in cancer outcomes, significant health disparities persist. Several new agents have been recently approved for treatment of lymphomas, leading to improved outcomes. Extending the benefits of these new agents starts by adequate enrollment of all affected patient populations. This study aimed to evaluate the extent to which randomized controlled trials (RCTs) match the demographic and geographic diversity of the population affected by lymphoma. Two Food and Drug Administration databases, clinicaltrials.gov, and relevant primary manuscripts were reviewed for drug approval data and demographic representation in RCTs for classical Hodgkin lymphoma (cHL) and non-Hodgkin lymphoma. Maps showing the distribution and frequency of trial participation relative to disease burden, insurance status, and racial representation were created. Black, Hispanic, and female patients were significantly underrepresented in the RCTs for lymphoma compared with that for the disease burden (3.6% [95% confidence interval (CI), 2.8-5.4] vs 14.6% [95% CI, 13.8-15.3]; 6.7% [95% CI, 5.5-7.9] vs 16.3% [95% CI, 15.5-17.1]; and 39.1% [95% CI, 37.3-40.9] vs 42.7% [95% CI, 42.3-43.1], respectively). White and male patients were overrepresented. More counties with higher mortality rates and racial minority representation had low access to the trials, particularly for cHL in the southern region of the United States. There are significant racial misrepresentations in pivotal RCTs in the United States, and geographic distribution of these trials may not provide easy access to all patients in need. Disparities in enrollment should be corrected to make results applicable to all populations.

1.
National Cancer Institute
.
Cancer stat facts: non-Hodgkin lymphoma. SEER program
. Accessed November 2022. https://seer.cancer.gov/statfacts/html/nhl.html.
2.
National Cancer Institute
.
Cancer stat facts: Hodgkin lymphoma. SEER program
. Accessed November 2022. https://seer.cancer.gov/statfacts/html/hodg.html.
3.
Li
Y
,
Wang
Y
,
Wang
Z
,
Yi
D
,
Ma
S
.
Racial differences in three major NHL subtypes: descriptive epidemiology
.
Cancer Epidemiol
.
2015
. ;
39
(
1
):
8
-
13
.
4.
Komrokji
RS
,
Al Ali
NH
,
Beg
MS
, et al
.
Outcome of diffuse large B-cell lymphoma in the United States has improved over time but racial disparities remain: review of SEER data
.
Clin Lymphoma Myeloma Leuk
.
2011
. ;
11
(
3
):
257
-
260
.
5.
Shah
NN
,
Xi
Y
,
Liu
Y
, et al
.
Racial and socioeconomic disparities in mantle cell lymphoma
.
Clin Lymphoma Myeloma Leuk
.
2019
. ;
19
(
6
):
e312
-
e320
.
6.
Evens
AM
,
Antillon
M
,
Aschebrook-Kilfoy
B
,
Chiu
BC
.
Racial disparities in Hodgkin's lymphoma: a comprehensive population-based analysis
.
Ann Oncol
.
2012
. ;
23
(
8
):
2128
-
2137
.
7.
Koshy
M
,
Fairchild
A
,
Son
CH
,
Mahmood
U
.
Improved survival time trends in Hodgkin's lymphoma
.
Cancer Med
.
2016
. ;
5
(
6
):
997
-
1003
.
8.
Grubb
WR
,
Neboori
HJ
,
Diaz
AD
,
Li
H
,
Kwon
D
,
Panoff
J
.
Racial and ethnic disparities in the pediatric Hodgkin lymphoma population
.
Pediatr Blood Cancer
.
2016
. ;
63
(
3
):
428
-
435
.
9.
Berkman
AM
,
Andersen
CR
,
Puthenpura
V
, et al
.
Impact of race, ethnicity, and socioeconomic status over time on the long-term survival of adolescent and young adult Hodgkin lymphoma survivors
.
Cancer Epidemiol Biomarkers Prev
.
2021
. ;
30
(
9
):
1717
-
1725
.
10.
Khullar
K
,
Rivera-Nunez
Z
,
Jhawar
SR
, et al
.
Pediatric hodgkin lymphoma: disparities in survival by race
.
Leuk Lymphoma
.
2020
. ;
61
(
3
):
546
-
556
.
11.
Unger
JM
,
Cook
E
,
Tai
E
,
Bleyer
A
.
The role of clinical trial participation in cancer research: barriers, evidence, and strategies
.
Am Soc Clin Oncol Educ Book
.
2016
. ;
35
:
185
-
198
.
12.
Casey
M
,
Odhiambo
L
,
Aggarwal
N
, et al
.
Are pivotal clinical trials for drugs approved for leukemias and multiple myeloma representative of the population at risk?
.
J Clin Oncol
.
2022
. ;
40
(
32
):
3719
-
3729
.
13.
Rural Health Information Hub
.
Healthcare access in rural communities
. Accessed December 2022. https://www.ruralhealthinfo.org/topics/healthcare-access.
14.
Parikh
RR
,
Grossbard
ML
,
Green
BL
,
Harrison
LB
,
Yahalom
J
.
Disparities in survival by insurance status in patients with Hodgkin lymphoma
.
Cancer
.
2015
. ;
121
(
19
):
3515
-
3524
.
15.
County Health Rankings
.
Rankings data & documentation
. Accessed December 2022. https://www.countyhealthrankings.org/explore-health-rankings/rankings-data-documentation.
16.
SAHIE Program
.
2008-2020 Small Area Health Insurance Estimates (SAHIE) using the American Community Survey (ACS). Bureau TUSC
. Accessed December 2022. https://www.census.gov/data/datasets/time-series/demo/sahie/estimates-acs.html.
17.
Frey
W
.
Six maps that reveal America's expanding racial diversity: a pre-2020 census look at the wide dispersal of the nation’s Hispanic, Asian and black populations. Brookings Institution; 2019
. Accessed January 2023. https://www.brookings.edu/research/americas-racial-diversity-in-six-maps/.
19.
Kaiser Family Foundation
.
Status of state Medicaid expansion decisions: interactive map
. Accessed January 2023. https://www.kff.org/medicaid/issue-brief/status-of-state-medicaid-expansion-decisions-interactive-map/.
20.
Institute of Health Metrics and Evaluation
.
United States cancer mortality rates by county 1980-2014
. Accessed December 2022. https://ghdx.healthdata.org/record/ihme-data/united-states-cancer-mortality-rates-county-1980-2014.
21.
Wan
X
,
Wang
W
,
Liu
J
,
Tong
T
.
Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range
.
BMC Med Res Methodol
.
2014
. ;
14
:
135
.
22.
Mukhtar
F
,
Boffetta
P
,
Dabo
B
, et al
.
Disparities by race, age, and sex in the improvement of survival for lymphoma: findings from a population-based study
.
PLoS One
.
2018
. ;
13
(
7
):
e0199745
.
23.
Syed
ST
,
Gerber
BS
,
Sharp
LK
.
Traveling towards disease: transportation barriers to health care access
.
J Community Health
.
2013
. ;
38
(
5
):
976
-
993
.
24.
Ray
KN
,
Chari
AV
,
Engberg
J
,
Bertolet
M
,
Mehrotra
A
.
Disparities in time spent seeking medical care in the United States
.
JAMA Intern Med
.
2015
. ;
175
(
12
):
1983
-
1986
.
25.
Parcha
V
,
Malla
G
,
Suri
SS
, et al
.
Geographic variation in racial disparities in health and coronavirus disease-2019 (COVID-19) Mortality
.
Mayo Clin Proc Innov Qual Outcomes
.
2020
. ;
4
(
6
):
703
-
716
.
26.
Sun
M
,
Oliwa
T
,
Peek
ME
,
Tung
EL
.
Negative patient descriptors: documenting racial bias in the electronic health record
.
Health Aff
.
2022
. ;
41
(
2
):
203
-
211
.
27.
Obermeyer
Z
,
Powers
B
,
Vogeli
C
,
Mullainathan
S
.
Dissecting racial bias in an algorithm used to manage the health of populations
.
Science
.
2019
. ;
366
(
6464
):
447
-
453
.
28.
Scharff
DP
,
Mathews
KJ
,
Jackson
P
,
Hoffsuemmer
J
,
Martin
E
,
Edwards
D
.
More than Tuskegee: understanding mistrust about research participation
.
J Health Care Poor Underserved
.
2010
. ;
21
(
3
):
879
-
897
.
29.
Ambroggi
M
,
Biasini
C
,
Del Giovane
C
,
Fornari
F
,
Cavanna
L
.
Distance as a barrier to cancer diagnosis and treatment: review of the literature
.
Oncologist
.
2015
. ;
20
(
12
):
1378
-
1385
.
30.
James
W
,
Jia
C
,
Kedia
S
.
Uneven magnitude of disparities in cancer risks from air toxics
.
Int J Environ Res Public Health
.
2012
. ;
9
(
12
):
4365
-
4385
.
31.
Turkson-Ocran
RAN
,
Nmezi
NA
,
Botchway
MO
, et al
.
Comparison of cardiovascular disease risk factors among African immigrants and African Americans: an analysis of the 2010 to 2016 National Health Interview Surveys
.
J Am Heart Assoc
.
2020
. ;
9
(
5
):
e013220
.
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