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Published in final edited form as: J Natl Med Assoc. 2018 Oct 30;111(3):246–255. doi: 10.1016/j.jnma.2018.10.005

Race and Time to Receipt of Androgen Deprivation Therapy Among Men With Metastatic Prostate Cancer

Ewan K Cobran 1, Henry N Young 2, Ronald C Chen 3, Xianyan Chen 4, Jaxk Reeves 5, Paul A Godley 6, Surbhi Shah 7
PMCID: PMC13451016  NIHMSID: NIHMS2199522  PMID: 30389146

Abstract

Background:

The Medicare Modernization Act (MMA) drastically reduced reimbursement for androgen deprivation therapy (ADT) in 2005. One unintended consequence of the MMA may be an increase in the racial disparities in receipt of ADT. Given these policy changes, it becomes increasingly important to assess racial disparities in timely receipt of ADT.

Methods:

The purpose of this study is to evaluate the associations between race and median time to receipt of ADT among men with metastatic prostate cancer before and after the passage of the MMA. A population-based retrospective cohort was created from the Surveillance, Epidemiology, and End Results-Medicare.

Results:

A total of 1,846 African-American and 9,462 Caucasian men diagnosed with metastatic prostate cancer from 2000 through 2011 were included. An accelerated failure time regression model was used to examine factors associated with racial differences in median time to receipt of ADT. Results indicate that African-American men had a longer median time to receipt of ADT both before the MMA (Time Ratio (TR): 1.15; 95% Confidence Interval (CI) [1.05, 1.27]) and after the MMA (TR: 1.29; 95% CI [1.10, 1.53]) as compared to Caucasian men. In addition to race, men residing in South had longer median time to receipt of ADT (TR: 1.26, 1.52; 95% CI [1.01, 1.52; 1.24, 1.87] before and after MMA, respectively) compared to the Northeast region.

Conclusion:

Considering the palliative benefits of ADT, it is important to develop effective strategies to address racial differences in receipt of treatment for metastatic prostate cancer.

Keywords: Prostate cancer, Androgen deprivation therapy, Race, Medicare modernization act, Surveillance Epidemiology and End Results-Medicare

INTRODUCTION

Prostate cancer represents the most common non-cutaneous malignancy for men, where in 2017 an estimated 161,360 new cases of prostate cancer were diagnosed in the United States.1 Prostate cancer is the second-leading cause of cancer death in men.2 African-American men are 2.4 times more likely to die from prostate cancer than Caucasian men.1,3 The differential prostate cancer mortality rates in African-American compared to Caucasian men represent the largest disparity of any malignancy.4,5 One of the contributing factors to higher mortality rates in African-American men are due to the differences in treatment received. Potentially curative therapies are less often recommended to African-American men.6

Androgen deprivation therapy (ADT) with a gonadotropin-releasing hormone or bilateral orchiectomy has been the mainstay of treatment for men with advanced prostate cancer.7,8 The use of ADT has increased greatly since the early 1990s among American men with non-metastatic prostate cancer,7,9,10 but few data are available about patterns of ADT in men with metastatic prostate cancer.7 Further, the Medicare Modernization Act (MMA) in 2005 drastically reduced the reimbursement for ADT,11–13 and prior studies showed that this policy reduced ADT use.11,12

Given the policy changes in ADT reimbursement by the MMA, it becomes increasingly important to assess racial disparities in timely receiving of ADT.14 Before changes in the ADT reimbursement policy by Medicare, African-American men with metastatic prostate cancer were significantly less likely to receive ADT, and when treated, had a slightly longer time to receipt than Caucasian men.14 One unintended consequence of the MMA may be an increase in the racial disparities in receipt of this treatment. Thus, the purpose of this study is to evaluate the associations between race and median time to receive ADT among men with metastatic prostate cancer before and after the MMA in 2005. We hypothesized that African-American men with metastatic prostate cancer are more likely to have longer median time to receive ADT following diagnosis, compared to Caucasian men after the implementation of MMA. To our knowledge, this is the first study to assess impact of race on receiving ADT treatment in metastatic cancer since the changes in Medicare ADT reimbursement.

MATERIALS AND METHODS

Data source

A population-based retrospective cohort was created from the Surveillance, Epidemiology, and End Results-Medicare (SEER-Medicare) linked database. Briefly, the linkage of the SEER and Medicare data is the result of the collaborative effort of the National Cancer Institute, the SEER registries, and the Center for Medicare and Medicaid Services.15 The SEER-Medicare database is composed of 16 population-based cancer registries that represent approximately 26% of the US population, linked to health care utilization data from Medicare, which provides benefits to 97% of the US population ≥65.16 The dataset used for this study included men diagnosed from 2000 to 2011, with Medicare claims data through year 2013.

Study cohort

The study cohort included African-American and Caucasian men 66 years of age and older, who were first diagnosed with metastatic prostate cancer (M1) between 2000 through 2011 and who received ADT. To evaluate the impact of MMA on racial disparities, these cohorts were further separated into those who were diagnosed before the implementation of MMA (i.e. diagnosed between the year 2000–2004), and those diagnosed after the implementation of MMA (i.e. diagnosed between the year 2006–2011). Figure 1 presents the details on the inclusion and exclusion criteria to generate our analytical cohort. We excluded men who were diagnosed or received ADT in 2005 due to MMA reimbursement policy changes.17 We excluded men with additional cancer diagnoses, disease diagnosed at autopsy, and those missing month of diagnosis. We also excluded men enrolled in any health maintenance organization, and those who were not enrolled in both Medicare Part A (hospital coverage) and Part B (elective coverage for outpatient care) from one year before to one year after diagnosis to ensure complete capture of health services.

Figure 1.

Figure 1.

Sample counts for included and excluded observations.

Outcomes

The primary outcome of interest was the timing of ADT, which was defined as duration between the diagnosis of prostate cancer and initiation of ADT. Since, SEER-Medicare data contains only month and year of diagnosis, date of diagnosis was assigned to the first day of each month. To identify men who received ADT, the Current Procedural Terminology (CPT)/Healthcare Common Procedure Coding System (HCPCS) procedure codes, and International Classification of Disease-Ninth Revision (ICD-9) codes: gonadotropin-releasing hormone agonist -J9202, J1950, J9217, J9218, J9219, J3315, J9226, J1695; Histrelin preparation - J9225, J9226, and J1675; Orchiectomy - 54520, 54521, 54522, 54530, 54535, 54690, 49510 were used.

Covariates

Demographic characteristics including race (African-American and Caucasian), age (grouped into 5 categories: 66–69years, 70–74 years, 75–79 years, 80–84 years and 85 years and above), marital status (grouped into married and unmarried/unknown), census-tract level of education (grouped into 4 categories based on quartiles), and population density (urban vs rural) were obtained from SEER. SEER regions were grouped into Northeast (Connecticut, New Jersey), South (Atlanta, rural Georgia, Kentucky, Louisiana), Central (Detroit, Iowa, New Mexico, Utah), and West (San Francisco, Hawaii, Seattle, San Jose, Los Angeles, greater California). Medicare claims data from the 12 months preceding prostate cancer diagnosis were used to obtain a combined comorbidity score validated specifically for claims data.4 Clinical characteristics included histologic grade of the tumor. It was categorized as well/moderately differentiated (Gleason score of 2–7); poorly differentiated (Gleason score of 8–10), and unknown.18

Statistical analysis

Analyses were performed on two subsets of the study population, which were created, based on changes in the MMA reimbursement policy for ADT: 1) before the MMA (diagnosed in the years 2000–2004) and 2) after the MMA (diagnosed in the years 2006–2011). Descriptive statistics were conducted to describe baseline characteristics of the study cohorts. To evaluate group difference in ADT use, Chi-square tests were performed. The proportional hazard assumption for Cox regression was violated; thus, a time-to-event analysis was conducted using accelerated failure time regression model to examine factors associated with time to receipt of ADT.14,19 Factors included in the analyses were age, race, marital status, diagnosis year, population density, histologic grade, SEER region, census-tract level of education, and comorbidities.

Accelerated failure time models are parametric regression models similar to linear regression, which allow for modeling of censored data.14 To select the best distribution for modeling our data, several functions were tested to select the suitable distribution for the data, and the log-normal distribution was selected as the best fit.14 Use of the log-normal allows us to model the logarithm of the event time; hence, results are reported as the estimates of time ratio (TR), with TR greater than 1 suggesting comparatively longer median time to receipt of ADT.14 Statistical significance thresholds were set at P < 0.05; all tests were 2-tailed. All analyses were performed using SAS statistical software (version 9.4, SAS Institute, Cary, NC). Approval from the University of Georgia Institutional Review Board (STUDY00001593) was requested.

RESULTS

Table 1 summarizes the demographic and clinical characteristics of the analytic cohort before and after the MMA reimbursement policy changes for ADT, along with the p-values. Before the MMA, there were 1028 African-American and 5288 Caucasian men with metastatic prostate cancer in the cohort. The cohort after the MMA included 818 African-American and 4174 Caucasian men with metastatic prostate cancer. The cohorts, before and after the implementation of MMA had similar characteristics.

Table 1.

Baseline and clinical characteristics by race before and after the medicare modernization act.

Before MMA (2000–2004) After MMA (2006–2011)
Characteristics Caucasian N = 5288 African-American N = 1028 p-value Caucasian N = 4174 African-American N = 818 p-value
Age group, years
66–69 1423 (26.91%) 310 (30.16%) <0.0001 829 (19.86%) 266 (32.52%) <0.0001
70–74 1242 (23.49%) 285 (27.72%) 845 (20.24%) 211 (25.79%)
75–79 1053 (19.91%) 193 (18.77%) 808 (19.36%) 146 (17.85%)
80–84 868 (16.41%) 151 (14.69%) 827 (19.81%) 125 (15.28%)
85+ 702 (13.28%) 89 (8.66%) 865 (20.27%) 70 (8.56%)
Charlson comorbidity score
0 2951 (55.81%) 589 (57.30%) 0.1099 2273 (54.46%) 418 (51.10%) 0.093
1 2172 (41.07%) 419 (40.06%) 1773 (42.48%) 366 (44.74%)
2+ 165 (3.12%) 20 (1.95%) 128 (3.07%) 34 (4.16%)
Marital status
Married 3621 (68.48%) 479 (46.60%) <0.0001 2549 (61.07%) 327 (39.98%) <0.0001
Unmarried/unknown 1667 (31.52%) 549 (53.40%) 1625 (38.93%) 491 (60.02%)
Education (% non-high school graduate)
Quartile 1 (lowest) 1322 (25.0%) 195 (18.97%) <0.0001 1113 (26.68%) 136 (16.63%) 0.0018
Quartile 2 1167 (22.07%) 213 (20.72%) 898 (21.51%) 159 (19.43%)
Quartile 3 1051 (19.88%) 236 (22.96%) 776 (18.59%) 198 (24.21%)
Quartile 4 (highest) 1094 (20.68%) 271 (26.36%) 890 (21.32%) 223 (27.26%)
Missing/unreported 654 (12.37%) 113 (10.99%) 497 (11.9%) 102 (12.47%)
Region
Northeast 973 (18.40%) 181 (17.61%) <0.0001 848 (20.32%) 156 (19.07%) <0.0001
South 740 (13.99%) 326 (31.71%) 576 (13.80%) 230 (28.12%)
Central 1144 (21.63%) 158 (15.37%) 758 (18.16%) 119 (14.55%)
West 2431 (45.97%) 363 (35.31%) 1992 (47.72%) 313 (38.26%)
Population density
Urban 4620 (87.37%) 917 (89.20%) 0.016 3650 (87.45%) 748 (91.44%) 0.0012
Rural 668 (12.63%) 111 (10.80%) 524 (12.55%) 70 (8.56%)
Year of diagnosis
2000 1181 (22.33%) 248 (24.12%) 0.4684 – – –
2001 1160 (21.94%) 203 (19.75%) – –
2002 1166 (22.05%) 221 (21.50%) – –
2003 1060 (20.05%) 209 (20.33%) – –
2004 721 (13.63%) 147 (14.30%) – –
2006 – – – 775 (18.57%) 146 (17.85%) 0.8234
2007 – – 706 (16.91%) 134 (16.38%)
2008 – – 698 (16.72%) 130 (15.89%)
2009 – – 643 (15.40%) 135 (16.50%)
2010 – – 672 (16.10%) 144 (17.60%)
2011 – – 680 (16.29%) 129 (15.77%)
Histologic grade
Well/Moderately differentiated 1338 (25.30%) 251 (24.42%) 0.6096 189 (4.52%) 45 (5.50%) 0.0052
Poorly differentiated 2781 (52.59%) 536 (52.14%) 2494 (59.75%) 528 (64.55%)
Unknown 1169 (22.11%) 241 (22.44%) 1491 (35.72%) 245 (29.95%)

SEER sites were grouped into four geographic regions for analysis.

Abbreviation: SEER, Surveillance, Epidemiology, and End Results.

Overall, most men in both study cohorts had a Charlson Comorbidity score of 0, lived in areas of low educational level, had poorly differentiated tumors, and were from an urban region. Compared to Caucasian men, African-American men were younger, less likely to be married, less educated, more likely to reside in the South urban region, and having higher percentage of poorly differentiated/undifferentiated tumors. These differences between the cohorts were found to be statistically significant (P < 0.05) before and after the implementation of MMA. Since, the racial cohorts were somewhat dissimilar at baseline, an accelerated failure time regression model was used to control these differences to draw an empirical conclusion about the racial effect of receipt of ADT.

The median time to receipt of ADT for both Caucasian and African-American men increased after the MMA. Before the MMA, the median time to receipt of ADT for Caucasian men was 95 days compared to 172 days for African American men (P < 0.05). However, after the MMA, the median time to receipt of ADT for Caucasian men was 109 days compared to 205 days for African-American men (P < 0.05). Figures 2 and 3 presents the racial differences in the probability of receipt of ADT as a function of days since diagnosis for the men in the pre-MMA and the post-MMA cohort, respectively. African-American men were less likely compared to Caucasian men to receive ADT after diagnosis (P < 0.05).

Figure 2.

Figure 2.

Probability of receipt of ADT before MMA (2000–2004).

Figure 3.

Figure 3.

Probability of receipt of ADT after MMA (2006–2011).

Table 2 presents the results of an accelerated failure time regression model to determine the association between race and time to receipt of ADT, along with other covariates before and after the MMA. After adjusting for other covariates, African-American men had a longer median time to receipt of ADT both before the MMA (Time Ratio (TR): 1.15; 95% Confidence Interval (CI) [1.05, 1.27]) and after the MMA (TR: 1.29; 95% CI [1.10, 1.53]) as compared to Caucasian men. Unmarried men had significantly longer median time to receipt of ADT both before and after the MMA (TR: 1.23, 1.18; 95% CI [1.02, 1.42; 1.05, 1.33] respectively) compared to men who were married. Men in the age group of 70–74 years had significantly shorter median time to receipt of ADT both before and after the MMA (TR: 0.76, 0.84; 95% CI [0.56,0.97; 0.72,0.98] respectively) as compared to men aged 66–69 years.

Table 2.

Multivariate regression of accelerated failure model of time to receipt of androgen deprivation therapy.

Before MMA After MMA
Ratio of time to receipt of ADT Ratio of time to receipt of ADT
Characteristics Time Ratio 95% Confidence Interval Time Ratio 95% Confidence Interval
Race
African-American 1.15 1.05 1.27 1.29 1.10 1.53
Caucasian 1.00 – – 1.00 – –
Age group
65–69 yrs 1.00 – – 1.00 – –
70–74 yrs 0.76 0.56 0.97 0.84 0.72 0.98
75–79 yrs 0.89 0.72 1.03 1.01 0.84 1.20
80–84 yrs 0.92 0.83 1.12 1.22 0.97 1.49
85 + yrs 0.97 0.78 1.23 1.25 0.99 1.54
Marital status
Unmarried 1.23 1.02 1.42 1.18 1.05 1.33
Married 1.00 – – 1.00 – –
Charlson comorbidity score
0 1.00 – – 1.00 – –
1 0.82 0.63 1.08 0.91 0.81 1.04
2+ 0.89 0.68 1.16 0.83 0.59 1.15
Population density
Urban 1.00 – – 1.00 – –
Rural 1.14 0.98 1.32 1.03 0.85 1.25
Education (% non-high school graduate)
Quartile 1 (lowest) 1.23 0.98 1.51 1.15 0.90 1.47
Quartile 2 1.17 0.93 1.46 1.14 0.84 1.56
Quartile 3 1.06 0.87 1.28 0.98 0.73 1.34
Quartile 4 (highest) 1.00 – – 1.00 – –
Histologic grade
Well/moderately differentiated 1.00 – – 1.00 – –
Poorly differentiated 0.73 0.52 0.94 0.78 0.58 0.96
Year of diagnosis
2000 2.76 2.13 3.42 – – –
2001 2.13 1.89 2.36 – – –
2002 1.47 1.23 1.74 – – –
2003 1.28 1.05 1.56 – – –
2004 1.00 – – – – –
2006 – – – 4.36 4.15 4.96
2007 – – – 3.55 2.85 4.34
2008 – – – 3.37 2.90 3.74
2009 – – – 2.45 2.03 2.97
2010 – – – 1.62 1.36 1.91
2011 – – – 1.00 – –
Region
Northeast 1.00 – – 1.00 – –
South 1.26 1.01 1.52 1.52 1.24 1.87
Central 1.16 0.96 1.37 1.24 0.98 1.51
West 1.12 0.88 1.36 1.17 0.96 1.45

SEER sites were grouped into four geographic regions for analysis.

Abbreviation: SEER, Surveillance, Epidemiology, and End Results; MMA, Medicare Modernization Act.

Further, men residing in the South had longer median time to receipt of ADT (TR: 1.26, 1.52; 95% CI [1.01, 1.52; 1.24, 1.87] before and after MMA, respectively) compared to the Northeast region. Before the MMA, men diagnosed with cancer in 2000, 2001, 2002, and 2003 had significantly longer median time to receipt of ADT as compared to those diagnosed in 2004 (TR: 2.76, 2.13, 1.47, 1.28; 95% CI [2.13,3.42; 1.89, 2.36; 1.23, 1.74; 1.05, 1.56] respectively). After the MMA, men diagnosed with cancer in 2006, 2007, 2008, 2009, and 2010 had significantly longer median time to receipt of ADT as compared to those diagnosed in 2011 (TR: 4.36, 3.55, 3.37, 2.45, 1.62; 95% CI [4.15, 4.96; 2.85,4.34; 2.90,3.74; 2.03, 2.97; 1.36,1.91] respectively). In addition, compared to the men with well/moderately differentiated tumors, men with poorly differentiated tumors had shorter median time to receipt of ADT (TR: 0.73, 0.78; 95% CI [0.52, 0.94; 0.58, 0.96] before and after the MMA respectively).

DISCUSSION

Racial disparities exist in the receipt of ADT among men with metastatic prostate cancer, after the implementation of the MMA. Interestingly, the MMA substantially changed the drug reimbursement policy of Medicare Part B, and was intended to reduce non-evidence based ADT use (defined as clinically localized, stage T1–T2 patients with low- to intermediate-grade prostate cancer).12 In men with metastatic prostate cancer, use of ADT is considered primary therapy.20 However, we found that African-American men had significantly longer median time to receipt of evidence based ADT as compared to Caucasians. Therefore, one unintended consequence of the MMA may be an increase in the racial disparities in receipt of ADT. Similar findings were reported by Carson and colleagues, who assessed trends and factors associated with time to receive ADT in men with metastatic prostate cancer.14 The authors found that African-American men with metastatic prostate cancer were significantly less likely to receive ADT and, when treated, had a slightly longer time to receipt than Caucasian men. However, this study was conducted on the SEER cancer registry with Medicare claims data from 1991 to 2002, which was before the changes in Medicare reimbursement policies for ADT in 2005.14 The existence of statistically significant racial differences in the receipt of ADT for metastatic prostate cancer after policy changes in ADT reimbursement by the MMA indicates that there could be factors other than race that may be associated with the differences in receipt of ADT.

Our study also explored other clinical or socio-demographic factors that may impact the receipt of ADT. We found that unmarried men had significantly longer median time to receipt of ADT both before and after the MMA compared to men who were married. This might be due to difficulty in treatment decision-making or lack of social support.7 Men residing in the South had longer median time to receipt of ADT compared to men in the Northeast region. Further, before the MMA, men diagnosed with cancer in 2000, 2001, 2002, and 2003 had significantly longer median time to receipt of ADT as compared to those diagnosed in 2004. Whereas, after the MMA, men diagnosed with cancer in 2006, 2007, 2008, 2009, and 2010 had significantly longer median time to receipt of ADT as compared to those diagnosed in 2011. These findings might be due to reduction in an inappropriate use of ADT over time after the changes in Medicare reimbursement policies, particularly among men for whom the benefits of such therapy were unclear.21

Specifically, in 2004, reimbursement was generally reduced to 85% of the average wholesale price (and to 85% of the average price for gonadotropin-releasing hormone agonists).21 Whereas, in 2005 reimbursement was set a 106% of the average sale price (in contrast to the average wholesale price) based on actual transactions reported quarterly by pharmaceutical companies.21 These changes represented a reduction of 50% or more in the reimbursement for gonadotropin-releasing hormone agonists.21 Our findings are in line with another study reporting on the use of ADT for metastatic prostate cancer in older men; specifically, unmarried men or those residing in certain geographic region in the United States were less likely to receive ADT.7

There are several limitations of this study. Our study was based on Medicare claims from SEER-Medicare linked database. Hence, our findings may not be generalizable to other patient populations such as Medicaid, Health Maintenance Organizations, or other insurance plans. In addition, SEER-Medicare captures information from men who are above 65 years of age; hence our findings may not be generalizable to those younger than 65 years of age. There might be a possibility of selection bias due to non-randomized nature of the study. Also, much of differences in the characteristics of the analytic cohort before and after MMA reimbursement policy may be due to a truncation bias. Since we restricted the initial analytic cohort to patients who received ADT; therefore, the later cohorts had a shorter median waiting times (because the longer median waiting times which could have been observed, was not since the data was truncated). In traditional survival analysis, this is handled by including all cases and keeping track of which cases were censored. However, because we restricted the analytic cohort to patients who received ADT, there is no censoring in our data set.

Another limitation is that we were unable to assess certain factors, such as patient’s preferences or provider recommendations which could have been a driver in treatment choices. Further, the estimates for time until receipt of ADT are, on average, over-estimated by 15-days. This is because diagnosis dates are recorded only to the month, and arbitrarily assigned to the first day. However, this over-estimation does not impact the comparison between racial groups (i.e., Caucasian vs. African-American), since both groups had the same bias. Lastly, while the estimated time ratios decrease monotonically for men who received ADT for metastatic prostate cancer from 2006 to 2011; it is likely that prostate cancer diagnosis has improved over time and the health system has become more efficient. Despite these limitations, our study enhances the existing literature on racial differences in ADT treatment initiation in men with metastatic prostate cancer after changes in Medicare ADT reimbursement.

CONCLUSIONS

Considering the palliative benefits of ADT in reducing pain or other side-effects,22 and aggressiveness of cancer in African American men,23 timely receipt of ADT among this population may be important. Further research is needed to assess factors beyond policy changes for ADT reimbursement that could contribute racial differences in ADT treatment for metastatic prostate cancer.

Acknowledgements:

Funding support:

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by an Institutional Research Grant-14-193-01 from the American Cancer Society.

Footnotes

Conflict of interest disclosures: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Contributor Information

Ewan K. Cobran, University of Georgia, College of Pharmacy, Department of Clinical and Administrative Pharmacy, Division of Pharmaceutical Health Services, Outcomes, and Policy, Robert C. Wilson Pharmacy 250 West Green Street, 270B, Athens, GA 30602, USA;

Henry N. Young, University of Georgia, College of Pharmacy, Department of Clinical and Administrative Pharmacy, Division of Pharmaceutical Health Services, Outcomes, and Policy, Robert C. Wilson Pharmacy 250 West Green Street, 270J, Athens, GA 30602, USA;

Ronald C. Chen, University of North Carolina at Chapel Hill, School of Medicine, Department of Radiation Oncology and Urology, 101 Manning Drive, Chapel Hill, NC 27514, USA;

Xianyan Chen, University of Georgia, Franklin College of Arts and Sciences, Department of Statistics, Statistical Consulting Center, 310 Herty Drive, Athens, GA 30602, USA;

Jaxk Reeves, University of Georgia, Franklin College of Arts and Sciences, Department of Statistics, Statistical Consulting Center, 310 Herty Drive, Athens, GA 30602, USA;

Paul A. Godley, University of North Carolina at Chapel Hill, School of Medicine, Department of Hematology and Oncology, 4064 Bondurant Hall, Chapel Hill, NC 27514, USA;

Surbhi Shah, Evidera, Real-World Evidence, 500 Totten Pond Road, Waltham, MA 02451, USA

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