Treatment breakdown for prostate cancers

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Presentation transcript:

Treatment breakdown for prostate cancers This work has been produced as part of the Cancer Research UK - Public Health England Partnership. Contributors are listed at the end.

Methods 1) These slides present the numbers and percentages of tumours diagnosed in England in 2013 - 2015 recorded as receiving radiotherapy, chemotherapy or tumour resection. The results are presented by year, stage at diagnosis, age, sex, deprivation, ethnicity, and comorbidities. The stage distribution is presented, followed by  the treatment breakdown (independently and in combinations) for each variable. This work uses data collected by the NHS, as part of the care and support of cancer patients. Detail on methodology is described in the SOP and workbook (here) and summarised below: These proportions are unadjusted, so patterns may be caused by differences in stage, deprivation, age, sex, ethnicity, comorbidities or other factors, such as patient choice. Datasets used to capture treatment information include cancer registration data, the Systemic Anti-Cancer Therapy dataset (SACT), RadioTherapy DataSet (RTDS), and inpatient Hospital Episode Statistics (HES). A tumour resection is an attempt to surgically remove the whole of the primary tumour. Radiotherapy includes both curative and palliative teletherapy procedures, and excludes brachytherapy and contact radiotherapy. Chemotherapy includes both curative and palliative chemotherapy, and excludes hormonal therapy, and other supportive drugs such as zoledronic acid, pamidronate, and denosumab.

Methods 2) On the graphs which display combinations of treatments received, one of the categories is ‘Other care’. ‘Other care’ represents the group of patients who had no record of chemotherapy, tumour resection, or radiotherapy in the time frame assessed. This may include patients who received other treatments (such as hormonal therapy or management of symptoms), treatment outside of the time frame assessed, treatment in a private setting, or there may be data missing from the datasets used. The patient's Charlson comorbidity score was derived from Hospital Episodes Statistics (HES) and Cancer Registry data combined, and looks from 27 months to 3 months before the patient's cancer diagnosis. The patient’s age group was based on the age of the patient when they were diagnosed with the tumour. The patient’s income deprivation quintile was allocated by linking the patient’s postcode to their 2011 ONS census lower super output area (LSOA). This was then linked to the Ministry of Housing, Communities & Local Government 2015 income deprivation quintile for that LSOA. Treatments occurring in the period from 1 month before diagnosis to either 6, 9, 12, 15 or 18 months after diagnosis are displayed. The time period within which most patients' first course of treatment occurred varies by cancer site and treatment type. Therefore, an appropriate time period for each cancer site has been chosen using a data-driven approach in consultation with clinicians (see SOP for more information).

Summary of key results Stage: Resections highest in stage 2 and 3 tumours, radiotherapy highest in stage 3 tumours, chemotherapy used almost exclusively in stage 4 tumours. The clinical interpretation of this is complex. Most stage 1 tumours will be reclassified as stage 2 if they have a MRI scan. Many stage 1 and 2 tumours are now treated with surveillance, although most men will be given the choice of radiotherapy or resection. For stage 3 tumours, the standard care is radiotherapy, but there is a trend to use resection more in this group. Age: Reduction in resections and chemotherapy with age. Increase in use of radiotherapy with age up to 70-79 (40%), very low use in 80+ (10%). This fits well with the evidence base. Deprivation: Small but significant reduction in tumour resections with increasing deprivation (17% of least deprived, 14% of most deprived). Ethnicity: Non-white patients have higher tumour resections (15% White, 21% non-White) and lower use of radiotherapy (31% White, 27% non-White) than White patients. This is not easily explained, however may be related to differences in incidence between ethnicities, and possibly diagnosis at earlier stages in non-White patients where tumours are more resectable.

Cohort for prostate cancers

By diagnosis year

By diagnosis year

By diagnosis year

By stage

By stage

By stage

By age

By age

By age

By deprivation quintile

By deprivation quintile

By deprivation quintile

By broad ethnic group

By broad ethnic group

By broad ethnic group

By comorbidity score

By comorbidity score

By comorbidity score

Acknowledgements Public Health England and Cancer Research UK would like to thank the following analysts who developed this workbook: Dr. Sean McPhail, Dr. Katherine Henson, Anna Fry, Becky White We would like to thank the following analysts who contributed to the work: Clare Pearson, Sabrina Sandhu, Carolynn Gildea, Jess Fraser, Michael Wallington, Cong Chen We would also like to thank the following clinicians and analysts who offered feedback on this workbook or helped improve the tumour resections data featured in it: Dr. Andy Nordin, Mr. Kieran Horgan, Mr. Ravinder Vohra, Prof. Mick Peake, Prof. Eva Morris, Mr. Keith Roberts, Mr. Graham Putnam, Dr. Roland Valori, Prof. Hemant Kocher, Mr. Roger Kockelbergh, Prof. Paul Finan