S10) Concepts of Causality Flashcards Preview

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Flashcards in S10) Concepts of Causality Deck (24)
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1
Q

What are the three aspects of Henle-Koch’s Postulates in terms of causation?

A
  • Necessity
  • Specificity
  • Sufficiency
2
Q

What does it mean when a cause is necessary?

A

Necessary – a cause always precedes the disease i.e. disease cannot occur without cause being present

3
Q

What does it mean when a cause is specific?

A

Specific – the cause is absent in other diseases (no longer considered relevant, including in microbiology)

4
Q

What does it mean when a cause is sufficient?

A

Sufficient – a cause alone can lead to the disease (once predisposing and precipitating factors are in place)

5
Q

Complete the following table to apply Henle-Koch’s Postulates (1882) to the 21st Century

A
6
Q

Describe the cause-effect relationship in an epidemiological context

A
  • Disease results from the interplay of host, environment and agent
  • A cause is an exposure/factor that increases the probability of disease
  • Exposures do not have to be either necessary/sufficient to be important causes
7
Q

Provide four examples of exposures which are neither necessary (i.e. other causes) nor always sufficient (i.e. need other factors) to cause a disease

A
  • Alcohol consumption → liver cirrhosis
  • Ionising radiation → leukaemia
  • Smoking tobacco → heart disease
  • Traffic speed → pedestrian injury
8
Q

Associations may be present in the absence of a true cause-effect relationship.

Explain this in terms of systematic / random variation

A
  • Confounding (“erroneous”) – known, possible, unknown
  • Bias (“incorrect”) – selection bias and information bias
  • Chance (“luck”) – measured by p value
9
Q

Provide four possible alternative explanations for an observed association between X and Y

A
  • Due to an unknown confounding factor
  • Due to a common cause e.g. lung cancer is associated with chronic bronchitis but both are caused by tobacco smoking
  • Reverse causality (you think X→Y but Y→X) e.g. bar work is associated with alcoholism amongst staff
  • A true causal association (X → Y)
10
Q

How does one evaluate the strength of evidence in favour of a cause-effect relationship using Bradford Hill’s criteria for causality?

A
  • Association features – strength of association, specificity of association, consistency of association
  • Exposure/outcome – temporal sequence, dose response, reversibility
  • Other evidence – coherence of theory, biological plausibility, analogy
11
Q

Using an example, explain strength of association in the Bradford Hill Criteria

A
  • A causal link is more likely with strong associations
  • Strong associtions are unlikely to be explained by undetected confounding/bias
  • E.g. heavy smokers have 20 times risk of mortality from laryngeal cancer than non-smokers*
12
Q

Using an example, explain specificity of association in the Bradford Hill Criteria

A
  • A causal link is more likely when an outcome is associated only with a specific factor and vice-versa
  • Specificity of association strengthens the case for a causal link
  • E.g. Mesothelioma is associated with exposure to asbestos – no other factors are significant causes of mesothelioma*
13
Q

Using an example, explain consistency of association in the Bradford Hill Criteria

A
  • A causal link is more likely if the association is observed in different studies and different sub-groups
  • Consistency of association between studies or groups is unlikely to be due to the same confounding or bias
  • E.g. Many different studies demonstrated the association between smoking and ischaemic heart disease*
14
Q

Using an example, explain temporal sequence in the Bradford Hill Criteria

A
  • A causal link is more likely if exposure to the putative factor has been shown to precede the outcome
  • The corollary is that a causal link cannot exist if the outcome preceded exposure to the putative factor
  • E.g. British Doctors Cohort Study showed that tobacco smoking was not only associated with many diseases but preceded them*
15
Q

Using an example, explain dose response in the Bradford Hill Criteria

A
  • A causal link is more likely if different levels of exposure to the putative factor leads to different risk of acquiring the outcome
  • Dose response (biological gradient) is unlikely to be due to unknown confounding or bias
  • E.g. The risk of leukaemia increased in survivors of the Hiroshima and Nagasaki atomic bombs the nearer they were to the hypocentre*
16
Q

Explain reversibility in the Bradford Hill Criteria

A

Reversibility – a causal link is very likely if removal or prevention of the putative factor leads to a reduced or non-existent risk of acquiring the outcome

17
Q

Using an example, explain coherence of theory in the Bradford Hill Criteria

A
  • A causal link is more likely if the observed association conforms with current knowledge
  • Coherence with current paradigms / constructs / theories strengthens the case for a causal link
  • E.g. The link between socio-economic deprivation and greater ill-health, mortality and lower life expectancy is now well established*
18
Q

Explain biological plausibility in the Bradford Hill Criteria

A
  • A causal link is more likely if a biologically plausible mechanism is likely or demonstrated
  • A biologically plausible mechanism strengthens the case for a causal link
19
Q

Using an example, explain analogy in the Bradford Hill Criteria

A
  • A causal link is more likely if an analogy exists with other diseases, species or settings
  • An analogy is easier to infer than a biologically plausible mechanism
  • E.g. The epidemiology of Hepatitis B virus was successfully used to predict how HIV virus would spread*
20
Q

What is epidemiology?

A

Epidemiology is the study of the distribution and determinants of health-related states or events in specified populations, and the application of this study to the control of health problems

21
Q

What are the two assumptions one makes in epidemiology?

A
  • Disease does not occur at random
  • Disease has causal and preventable factors that can be identified through systematic investigation
22
Q

Explain how the concepts of causality have evolved over the years

A
  • Necessary, specific, sufficient agent → disease

  • Host, environment and agent → disease

  • Multi-factorial web of factors → disease
23
Q

Identify the four concepts in epidemiological reasoning

A
  • Hypothesis
  • Analytical Study
  • Observed Associations
  • Cause-Effect Relationship
24
Q

Describe the following four concepts in epidemiological reasoning:

  • Hypothesis
  • Analytical study
  • Observed associations
  • Cause-effect relationship
A
  • Hypothesis – generated from observations and/or theories
  • Analytical Study – systematic observations of comparisons
  • Observed Associations – possible explanations of non-causal associations (chance, bias, confounding ± reverse causality)
  • Cause-Effect Relationship – based on judgement of how the observed association fits in with evidence from other sources