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Cancer epidemiology Epidemiology & public health understanding and control of disease at population level • The scientific basis – knowledge through probability Describe problems Investigate hypotheses Monitor control

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Page 1: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Cancer epidemiology

• Epidemiology & public health – understanding and control of disease at population level

• The scientific basis – knowledge through probability

• Describe problems

• Investigate hypotheses

• Monitor control

Page 2: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Epidemiology reveals causes

• Time, place and person

• Did exposure cause cancer?

• Was cancer caused by exposure?

Page 3: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Incidence

• New cases

• Not just deaths

• At what age?

• Is it changing?

Page 4: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

prevalence

• Current patients – and current cured?

• The ‘patient pathway’

• Including communication and palliative care

• Health services activity = social cost

• Drug treatment – prevalence more valuable than incidence

Page 5: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Why cancer?

• Burden of disease

• Age-related

Page 6: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Cancer 5-year survival in 2004

Mortality 2004

Page 7: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Individual and environment

• Why did I / she get this disease?

• Interaction of organism with exposure

• A probabilistic event …

• Both direct exposure and trigger…

Page 8: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Risk / Probability

• Individual risk - of getting disease

• Population probability – of getting disease

• Attributable risk – for a factor causing disease

• Population attributable risk =

attributable risk x exposures

Page 9: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

established risk factors for some cancers: Tobacco smoking (lung, throat, pancreas, stomach, bladder..,

Alcohol (mouth, throat, food pipe, breast, liver) Ultraviolet light (skin)

Lack of exercise (bowel) High fat, low fruit and vegetable diet (bowel)

Obesity (breast, bowel, womb)

The following have not been confirmed or have been disproved: Deodorant

Underwired bras Cuts and bruises

Make-up

Risks and low risks

Page 10: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Epidemiology study designs

• Cohort

• Case-control

Page 11: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Chernobyl

• A cohort study …

Page 12: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Childhood cancers: case-control study

Setting and subjects: Maps of emissions of many different substances were published on the internet by the National Atmospheric Emissions Inventory and

"hotspots" for 2001 were translated to map coordinates. Child cancer addresses were extracted from an earlier inquiry into the

carcinogenic effects of obstetric radiographs; and their postcodes translated to map references.

Main results: Significant birth proximity relative risks were found within 1.0 km of

hotspots for carbon monoxide, PM10 particles, VOCs, nitrogen oxides, benzene, dioxins, 1,3-butadiene, and benz(a)pyrene.

Calculated attributable risks showed that most child cancers and leukaemias are probably initiated by such exposures

Knox EGJournal of Epidemiology and Community Health 2005; 59: 101-105

Page 13: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Epidemiological knowledge

• Non-experimental

• Not truth but probability

• Looking for confounding

Page 14: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Criteria

1. Temporal relationship

• Value of prospective designs

Page 15: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Criteria

2. Plausibility

• Working with biologists

• From animals to humans

Page 16: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Criteria

3. Statistical association

• Note the type of statistics used -

Page 17: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Criteria

4. Dose relationship

• children/adults

• Easy to do in laboratory, difficult to determine in epidemiology

• eg. use distance for chronic exposures

Page 18: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Criteria

5. Specificity

Attributable risklung cancer – 90% from smokingchildhood leukaemia

~ 25% from exhausts, ~ 6% medical radiation <1% from

Necessary but not sufficient potential viral trigger of cancer cell clone

Page 19: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Criteria

6. Consistency / repeatability

• Exposures, populations

• The world as laboratory ….

Page 20: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Canadian Medical Association J. • April 3, 2001; 164 (7)

Integrated oncology - cervical cancer

Page 21: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Control - surveillanceStatistics as vital statistics

Page 22: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Incidence

Page 23: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Survival

• Prognosis for patient and doctor

• Performance of services

Page 24: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Lung & colorectal cancers5- year relative survivalSelected health authorities and England total

Lung Colorectal

% %

Dorset 5.5 56

Oxfordshire 5.2 47

Kensington 8.9 48

Tees 2.8 26

Sunderland 2.6 33

England 5.5 43

Page 25: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

5-year relative survival (with 95% CI) for colorectal cancer patients by NHS Trust, London Region,

1996-2001

0

10

20

30

40

50

60

70

NHS Trusts

5-y

ea

r s

urv

iva

l, %

Page 26: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Proportion of patients expressing a problem with each aspect of care

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

London Networks

England average

Not treated with respect and

dignity

Doctor did not discuss the purpose of treatment

In pain or discomfort

Waited too long

Time spent explaining condition

Cancer patient satisfaction

Page 27: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability
Page 28: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Cancer services in England

Page 29: Cancer epidemiology Epidemiology & public health – understanding and control of disease at population level The scientific basis – knowledge through probability

Cancer biology - individual and society

• The patient perspective

• The clinical perspective

• The political perspective