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Poster session 11

1401P - Quality of life across three countries using a large-scale, fully digital survey of patients with prostate cancer

Date

10 Sep 2022

Session

Poster session 11

Topics

Tumour Site

Prostate Cancer

Presenters

Joe O'Sullivan

Citation

Annals of Oncology (2022) 33 (suppl_7): S616-S652. 10.1016/annonc/annonc1070

Authors

J. O'Sullivan1, B.D. Gonzalez2, L.M. Gudenkauf3, R. Lehmann4, S. Allen5, C. Ernst-Guenther6, H. Wolinsky7, A. Poschenrieder8, O. Mirante9, A.K. Morgans10

Author affiliations

  • 1 School Of Medicine, Dentistry And Biomedical Sciences, Queen's University Belfast, BT9 7AB - Belfast/GB
  • 2 Department Of Health Outcomes And Behavior, Moffitt Cancer Center, 33612 - Tampa/US
  • 3 Department Of Health Outcomes And Behavior, H. Lee Moffitt Cancer Center & Research Institute - Magnolia Campus, 33612 - Tampa/US
  • 4 Dontbepatient Intelligence, DontBePatient Intelligence GmbH GmbH, 80333 - Munchen/DE
  • 5 Tackle Prostate Cancer, Tackle Prostate Cancer, ECIV 2NX - London/GB
  • 6 Board Member, Europa Uomo - Bundesverband Prostatakrebs Selbsthilfe e. V. (BPS), 25436 - Tornesch/DE
  • 7 Prostate Cancer, AnCan Virtual Support Group for Active Surveillance, Des Plaines/US
  • 8 Global Medical Affairs, AAA - Advanced Accelerator Applications SA - a Novartis Company, 1204 - Geneva/CH
  • 9 Global Medical Affairs - Oncology, AAA - Advanced Accelerator Applications SA - a Novartis Company, 1204 - Geneva/CH
  • 10 Medicine Department, Dana Farber Cancer Institute, 02215 - Boston/US

Resources

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Abstract 1401P

Background

Quality of life (QoL) outcomes may differ among patients (pts) with prostate cancer (PCa) depending on disease setting, treatment received, and country/healthcare system.

Methods

In a large-scale, self-report digital survey, pts with non-metastatic (M–) and metastatic (M+) PCa in Germany, the UK and the US reported demographic and clinical factors, disease and treatment history, and QoL using validated measures (e.g., Functional Assessment of Cancer Therapy – Prostate [FACT-P]). Pts also rated their degree of positive vs. negative views of each type of PCa therapy not (yet) received and expected impact on QoL. Predictors of QoL were examined using analysis of variance, t-tests, and chi-square tests. Multivariate regression analysis examined the relative impact of one predictor while controlling for others. We assessed for between-group differences > 10, the previously defined cutoff for clinically meaningful FACT-P differences.

Results

Among 15 511 pts, 20% had M+ PCa and 37% had symptoms at diagnosis; 23% had diabetes, 27% cardiovascular disease and 9% kidney disease. Demographic factors were similar across countries. Pts had mostly negative views of therapy not yet received and expected negative impact on QoL. On univariate analysis, FACT-P scores were significantly better among pts with M– vs. M+ disease, pts with no comorbidities vs. ≥ 2 comorbidities and pts without vs. with severe comorbidity (Table). Age and PCa symptoms at diagnosis were not meaningfully associated with FACT-P scores. On multivariate analysis, M– vs. M+ disease and no comorbidities vs. ≥ 2 comorbidities showed meaningful differences in QoL. Table: 1401P

Average FACT-P scores across predictors

Total FACT-P score, mean (SD)
Country Germany 117 (22)
UK 114 (23)
US 115 (23)
Age, years ≤ 59 112 (26)
60–69 115 (23)
70–79 116 (21)
≥ 80 113 (21)
Metastatic disease* No 118 (21)
Yes 105 (23)
Therapy received None 114 (23)
Any 115 (23)
Symptoms at diagnosis No 118 (21)
Yes 110 (24)
Comorbidities* 0 119 (21)
1 113 (22)
≥ 2 105 (24)
Diabetes* No 117 (22)
Mild 110 (23)
Moderate 109 (23)
Severe 89 (23)
Cardiovascular disease* No 118 (22)
Mild 110 (23)
Moderate 110 (23)
Severe 91 (28)
Kidney disease* No 117(22)
Mild 108 (24)
Moderate 104 (24)
Severe 91 (31)

Clinically meaningful difference in QoL in *univariate and multivariate analyses

Conclusions

Self-reported QoL in pts with PCa did not vary substantially by country though treatment strategies differ. QoL was significantly affected by M+ status and comorbidity burden. QoL interventions should target these at-risk groups to reduce symptom burden, tolerance of treatment and fear of therapy.

Clinical trial identification

Editorial acknowledgement

Under the guidance of the authors, Charlie Foster, PhD from Oxford PharmaGenesis (Oxford, UK) provided medical writing support for this abstract, with funding from Advanced Accelerator Applications, a Novartis Company.

Legal entity responsible for the study

Advanced Accelerator Applications, a Novartis Company.

Funding

Advanced Accelerator Applications, a Novartis Company.

Disclosure

J. O'Sullivan: Financial Interests, Personal, Advisory Role: Advanced Accelerator Applications, a Novartis Company, Astellas, Bayer, Janssen, Sanofi; Financial Interests, Personal, Speaker’s Bureau: Advanced Accelerator Applications, a Novartis Company, Astellas, Bayer, Janssen, Sanofi; Financial Interests, Institutional, Research Grant: Bayer. B.D. Gonzalez: Financial Interests, Personal, Other, Consulting: SureMed Compliance, KemPharm; Financial Interests, Personal, Advisory Board: EllyHealth; Financial Interests, Personal, Invited Speaker: Society of Behavioral Medicine. R. Lehmann: Financial Interests, Personal, Officer, Founder and CEO: DontBePatient Intelligence; Financial Interests, Institutional, Research Grant, Founbding of the Prostate Cancer Patient Survey: Novartis/AAA. A. Poschenrieder, O. Mirante: Financial Interests, Personal, Stocks/Shares, Employee of Advanced Accelerator Applications, a Novartis Company: Novartis. A.K. Morgans: Financial Interests, Personal, Advisory Board: Astellas, AstraZeneca, AAA, Bayer, Janssen, Exelixis, Myovant, Novartis, Pfizer, Sanofi; Financial Interests, Institutional, Research Grant: Astella, Bayer, Myovant, Sanofi. All other authors have declared no conflicts of interest.

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