Abstract 708P
Background
Testicular cancer follow-up (FU) protocols prioritise early detection of cancer recurrence, yet there's growing interest in addressing chronic toxicities and providing comprehensive survivorship care. The Empower pathway implements a Personalised Stratified Follow-up (PSFU) pathway led by Advanced Nurse Practitioner (ANP) and General Practitioner (GP); providing comprehensive post-treatment support for testicular cancer survivors. This 1-year pilot project of 150 patients was designed in response to local and national NHS strategy for PSFU.
Methods
Consultation data from the first 150 patients was audited. Patients completing six months of consultant-led clinics post-treatment were eligible (with exclusions). The study evaluated patient and tumour characteristics, mental health problems, prevalence of new conditions, as well as onward GP requests made by the Empower Team.
Results
Baseline patient characteristics are presented in the table below. 88 patients (56%) had a new holistic diagnosis. Examples included hypercholesterolemia (n=53, 35.3%), hypogonadism (n=31, 20.7%;), including 9 clinical and 24 subclinical), obesity (n=17, 11.1%), and vitamin D deficiency (n=7, 4.6%). 4 patients (2.6%) were diagnosed with prediabetes/diabetes, and 3 (2%) had vitamin B12 insufficiency. Thirty-eight patients (24.8%) reported symptoms of anxiety, and 8 (5.2%) reported symptoms of depression. Three internal referrals were made to the adult psychological support service with 9.4% being signposted to local primary care services. 100% of patients had a shared care plan. 0.6% of patients required an onward GP referral request. Table: 708P
Characteristic | N (%) |
Age at diagnosis, median (range) | 34 (15 - 61) |
Histology SeminomaNon-seminomaBilateral | 78 (51.3)66 (44)6 (4.7) |
StageIIIIII | 111 (74)26 (17.3)13 (8.7) |
Stage IActive surveillanceAdjuvant therapy | 75 (67.6)36 (32.4) |
Conclusions
The Empower pathway, in conjunction with consultant led clinics, enhances personalised care for testicular cancer survivors by introducing a stratified holistic FU programme. This enables better identification and treatment of holistic needs optimising survivorship outcomes.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
RM Partners.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
1192P - Optimizing lung cancer screening: Independent verification of an AI/ML computer-aided detection and characterization software as medical device
Presenter: Sylvain Bodard
Session: Poster session 09
1194P - Development of a novel artificial intelligence (AI) algorithm to detect pulmonary nodules on chest radiography
Presenter: Mitsunori Higuchi
Session: Poster session 09
1195P - Whole-body magnetic resonance imaging (WB-MRI) screening in Li Fraumeni syndrome for early cancer diagnosis: The SIGNIFIED project
Presenter: Elena Cojocaru
Session: Poster session 09
1196P - Organoid growth-based oncological sensitivity test (OncoSensi) for predicting adjuvant therapy outcomes in ovarian cancer patients
Presenter: Dong Woo Lee
Session: Poster session 09
1197P - Ex vivo basket study reports patient-specific sensitivity to carboplatin versus cisplatin in lung, ovarian and bladder cancer
Presenter: Debbie Robbrecht
Session: Poster session 09
1198P - Analytical validation of an NGS panel-based ecDNA detection device for use as a clinical trial assay for the POTENTIATE clinical study of the novel CHK1 inhibitor, BBI-355
Presenter: Pontis Julien
Session: Poster session 09