Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 09

600P - Ethnic and socio-economic status in ovarian cancer patients recruited to clinical trials

Date

10 Sep 2022

Session

Poster session 09

Topics

Tumour Site

Ovarian Cancer

Presenters

Kieran Palmer

Citation

Annals of Oncology (2022) 33 (suppl_7): S235-S282. 10.1016/annonc/annonc1054

Authors

K.R. Palmer1, K.H. El-Shakankery2, J. Kefas2, K. Gao3, S. Crusz1, M. Flynn2, L. Jonathan2, M. Lockley2, M. McCormack2, N. Macdonald2, S. Nicum2, M. Devlin1, R. Miller2

Author affiliations

  • 1 Medical Oncology, St. Bartholomew's Hospital - Barts Health NHS Trust, EC1A 7BE - London/GB
  • 2 Medical Oncology, UCH - University College Hospital, NW1 2BU - London/GB
  • 3 Barts And The London School Of Medicine And Dentistry, QMUL - Queen Mary University of London - Charterhouse Square, EC1M 6BQ - London/GB

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 600P

Background

Ethnicity and deprivation affect cancer outcomes. We sought to determine whether the ovarian cancer (OC) trial population was representative of the general OC population in terms of ethnicity and socio-economic status (SES), across two London tertiary cancer centres.

Methods

All OC patients treated between 2017 and 2022 were included. Any patients participating in a clinical trial during this period were included in the trial population (TP) and the remainder classified as the non-trial population (NTP). Demographic and treatment data were collected from electronic patient records. Ethnicity was classified using NHS coding, based on the UK 2021 Census. The UK Indices of Multiple Deprivation (IMD) was calculated based upon postcode, grouped into quintiles. Pearson’s chi-square test was used to evaluate differences between TP and NTP.

Results

215 TP and 680 NTP were included. In the TP; 88, 104 and 23 entered phase II, phase III or observational trials, respectively. 11 (5.1%) TP were non-English speaking. There was a statistically significant difference in SES (p=0.0260) and ethnicity (p<0.0001) between TP and NTP cohorts (Table). Table: 600P

TP (n=215; %) NTP (n=680; %) P value
Socio-Economic Status: Indices of Multiple Deprivation (Quintiles) Q1 Most Deprived 30 (13.9) 107 (15.7) P = 0.0260
Q2 50 (23.3) 234 (34.4)
Q3 51 (23.7) 128 (18.8)
Q4 35 (16.3) 106 (15.6)
Q5 Least Deprived 43 (20.0) 104 (15.3)
Unclassified 6 (2.8) 1 (0.2)
Ethnicity Asian or Asian British 14 (6.5) 86 (12.6) P <0.0001
Black (African, Black British, Black Caribbean, Black Other) 11 (5.1) 65 (9.6)
Other ethnic group 11 (5.1) 53 (7.8)
Mixed/Multiple Ethnic Groups 8 (3.7) 7 (1.0)
White (British, Irish, Other) 157 (73.0) 381 (56.0)
Unclassified 14 (6.5) 88 (12.9)

The odds ratio for clinical trial enrolment was 0.69 (95% confidence interval (CI): 0.50 - 0.94; p=0.018) and 0.51 (95% CI: 0.35 - 0.74; p=0.003) for those more vs less deprived and in non-white vs white patients, respectively.

Conclusions

Patients with higher levels of deprivation and non-white ethnicity were under-represented in clinical trials at our centres, which may worsen health disparities. Further research is required to understand the systematic, clinician-focused and patient-focused barriers to trial recruitment in such groups.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.