Trends and disparities in cancer in Aotearoa/ NZ

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Trends and disparities in cancer in Aotearoa/ NZ Professor Diana Sarfati #cancercrossroads @DiSarfati

Why cancer?

Estimated number of incident cases from 2018 to 2040 in New Zealand, all cancers, both sexes, all ages Source: Globocan 2018, International Agency for Research on Cancer

Aggregate real ($ million 2009/10) health expenditure, 1925 2010 25,000 $ million 20,000 15,000 10,000 Total health Publicly funded 5,000 Privately funded 0 1925 1930 1935 1940 1945 1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 Source: Ministry of Health. 2012. Health Expenditure Trends in New Zealand 2000 2010.

Prevention Diagnosis Treatment Follow up/ survivorship care End of life care Screening Palliative care Tertiary care Nuclear medicine Surgery Nuclear medicine Medical genetics Systemic therapy Radiotherapy Secondary/ tertiary care Primary care Vaccination Risk factor mgmt Medical imaging Endoscopy Surgery Pathology/ clin lab Screening Clinical assessment Medical imaging Endoscopy Pathology/ clin lab Palliative and supportive care Clinical assessment Ministry of Health Central and local Government Amended from WHO 2017; WHO List of priority Devices for Cancer Management

Trends in cancer incidence

Figure 1: Trends in cancer incidence by ethnic group, males and females aged 1-74 years in New Zealand 1981-2011 Teng AM, Atkinson J, Disney G, Wilson N, Sarfati D, McLeod M, Blakely T. Ethnic Inequalities in Cancer Incidence and Mortality: Census-Linked Cohort Studies with 87 Million Years of Person-Time Follow-Up. BMC Cancer 2016;16:755. DOI: 10.1186/s12885-016-2781-4.

Key points The most common cancers overall are prostate, melanoma, breast, bowel and lung cancers The biggest killers overall are lung, bowel, breast, prostate and pancreatic cancers The biggest inequalities in incidence (and mortality) are for lung, stomach and liver cancers. Stomach and liver cancers are both in the top 5 cancer killers for Māori men. Nothing is static.

Drivers of cancer trends

Adult obesity rate, 1977* 2012/13 Ministry of Health. 2015. Understanding excess body weight. NZ Health Survey.

Median travel distance to closest fast-food outlet for New Zealand deprivation deciles. Pearce et al Am J Prev Med 2007;32(5):375 382

Drivers of cancer trends (Diving deeper)

Figure 1: Trends in cancer incidence by ethnic group, males and females aged 1-74 years in New Zealand 1981-2011 Teng AM, Atkinson J, Disney G, Wilson N, Sarfati D, McLeod M, Blakely T. Ethnic Inequalities in Cancer Incidence and Mortality: Census-Linked Cohort Studies with 87 Million Years of Person-Time Follow-Up. BMC Cancer 2016;16:755. DOI: 10.1186/s12885-016-2781-4.

Cancer mortality by site (male) per 100,000 age standardised Prostate Stomach Lung Colorectal 0 10 20 30 40 50 60 70 Population Māori

Helicobacter Pylori Stomach cancer 90% of distal stomach cancers caused by H pylori

100% 90% 80% 70% 60% Estimated seroprevalence of H Pylori by birth cohort and ethnicity in New Zealand 50% 40% 30% Pacific Māori European 20% 10% 0% 1926-40 1941-55 1956-70 1971-85 Birth Cohort McDonald A, Sarfati D, Baker M, Blakely T Helicobacter 2015.

Distal stomach cancer Teng A, Blakely T, Baker M, Sarfati D. The contribution of Helicobacter pylori to excess gastric cancer in Indigenous and Pacific men: a birth cohort estimate. Gastric Cancer 2016.

Childhood poverty and overcrowding Helicobacter Pylori Stomach cancer 90% of distal stomach cancers caused by H pylori

Colonisation Migration Economic policies Childhood poverty and overcrowding Helicobacter Pylori Stomach cancer Employment policies Institutional racism etc 90% of distal stomach cancers caused by H pylori

Key point Drivers of cancer incidence and inequalities in cancer incidence are generally found outside the health system

What about cancer survival?

Survival rates are improving over time Excess mortality rate has been reducing by 27% each 10 years since early 1990 s for those diagnosed with bowel cancer Soeberg M, Blakely T, Sarfati D et al (2012). Cancer Trends: Trends in Survival by Ethnic and Socioeconomic Group, New Zealand 1991 2004. Wellington: University of Otago and Ministry of Health.

Percentage difference in cancer mortality between Māori and non-māori, 1991-2004 Oesophagus Non-Māori have poorer survival Percentage difference Māori have poorer survival Testis Cervix Uterus Kidney Melanoma Prostate Head, neck and larynx Breast (female) Colorectum POOLED ESTIMATE Non-Hodgkin's lymphoma Liver Lung Stomach Leukaemia Hodgkin's lymphoma Pancreas Ovary Bladder Brain Thyroid gland -40% -30% -20% -10% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Source: Soeberg, Blakely, Sarfati et al. 2012. Ethnic and socioeconomic trends in cancer survival, New Zealand, 1991-2004

What drives survival inequities?

Stage? (aka access to primary care/ screening/ diagnostic services)

C3 Study - Proportion Diagnosed with Advanced Disease (NZ Cancer Registry) Ovarian Stomach Kidney Colon Combined Liver Rectal Bladder Uterine Breast Non-Maori Maori 0% 10% 20% 30% 40% 50% 60% 70% Proportion with Advanced Disease (%)

C3 Study - Proportion Diagnosed with Advanced Disease (NZ Cancer Registry) Ovarian Stomach Kidney Colon Combined Liver Rectal Bladder Uterine Breast Non-Maori Maori 0% 10% 20% 30% 40% 50% 60% 70% Proportion with Advanced Disease (%)

Health services? (aka access to and through secondary and tertiary services)

Patients with Stage III Colon Cancer: Treatment Pathway Percentage of cohort (stage III) 100 90 80 70 60 50 40 30 20 Referred to oncologist Reviewed by oncologist Offered adjuvant chemo Received adjuvant chemo Started within 8 weeks 10 0 Māori non-māori Source: Hill, Sarfati, et al. (2010). Cancer, 116(13), p3205-3214.

Comorbidity? (aka variations in case mix )

Hypertension (Primary) Stomach Bladder Liver Breast Rectal Colon Uterine Non-Māori Māori Combined Sites Kidney Ovarian 0 5 10 15 20 25 30 Crude Prevalence (%) Source: Sarfati, Gurney, et al. (2014). C3 (Quantitative) study.

Hypertension (Primary) Stomach Bladder Liver Breast Rectal Colon Uterine Non-Māori Māori Combined Sites Kidney Ovarian 0 5 10 15 20 25 30 Crude Prevalence (%) Source: Sarfati, Gurney, et al. (2014). C3 (Quantitative) study.

Diabetes (Any) Kidney Uterine Stomach Colon Bladder Combined Sites Ovarian Non-Māori Māori Rectal Liver Breast 0 5 10 15 20 25 30 Crude Prevalence (%) Source: Sarfati, Gurney, et al. (2014). C3 (Quantitative) study.

Diabetes (Any) Kidney Uterine Stomach Colon Bladder Combined Sites Ovarian Non-Māori Māori Rectal Liver Breast 0 5 10 15 20 25 30 Crude Prevalence (%) Source: Sarfati, Gurney, et al. (2014). C3 (Quantitative) study.

Cancer Patient Mortality with Increasing Comorbidity Breast Urological 3 3 2 1 2 1 Upper GI 0 (Ref) 0 (Ref) 3-50 0 50 100 150-50 0 50 100 150 Colorectal Gynaecological 2 1 3 2 3 2 0 (Ref) -50 0 50 100 150 1 1 0 (Ref) 0 (Ref) -50 0 50 100 150-50 0 50 100 150 Adjusted All-Cause Excess Mortality (%) Source: Sarfati, Gurney, et al. (2014). C3 (Quantitative) study.

C3 Index Category Impact of comorbidity on cancer treatment Upper GI Stage I-III Surgery 3 2 1 Adjusted Odds Ratio*: 0.50 (0.24-1.02) 0 0 10 20 30 40 50 60 70 80 90 100 Received Curative Surgery (%) Sarfati D, Gurney J, Stanley J, Koea J. A retrospective cohort study of patients with stomach and liver cancers: the impact of comorbidity and ethnicity on cancer care and outcomes. BMC Cancer 2014. *For age, sex, site, ethnicity, deprivation

Impact of comorbidity on treatment High quality studies consistently show that those with comorbidity who are treated do better than those who are not treated. Many studies show little or no difference in relation to toxicity of treatment for those with comorbidity (especially for non-surgical treatments). The relatively low treatment rates for some patients with comorbidity may not be justifiable Sarfati D, Koczwara B, Jackson C. The impact of comorbidity on cancer and its treatment. Ca: A Cancer Journal for Clinicians 2016.

Pilot of Intervention study to address comorbidity in patients with CRC Outcomes Control eligible for CMA Intervention eligible for CMA % referred to oncology 49% (17/35) 59% (17/29) % received chemo 40% (14/35) 38% (11/29) Patient completed chemo as planned 0% (0/14) 55% (6/11) Patient had adverse event (gd 3/4) 28.6% (10/35) 27.6% (8/29) Unplanned hospitalisations 6% (2/35) 17% (5/29) Emergency clinic attendance 23% (8/35) 24% (7/29) Hot off the press: please don t cite

Take home messages Cancer incidence is increasing Costs of treatment are increasing (rapidly) Trends in incidence are driven by factors outside of the health system Cancer control is complex and includes the entire health system Cancer survival is improving but inequities exist Addressing the cancer burden now and into the future requires clear vision, strong leadership and broad-based action within and outside the health system #cancercrossroads @DiSarfati