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Tobacco and Public Health - TCSC Indonesia

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552<br />

TOBACCO AND CARDIOVASCULAR DISEASE<br />

Hill 1950, 1952), <strong>and</strong> establishment, again with Doll, of the long-running cohort study<br />

of smoking in British doctors (Doll et al. 1980, 1994). His criteria for assisting judgements<br />

about the likelihood of causal relationships explaining associations seen in<br />

observational data were published in 1965, with the original paper emphasizing that, as<br />

a true experiment, a r<strong>and</strong>omized controlled trial involving human subjects should<br />

always provide the best evidence for answering such questions (Hill 1965). The criteria<br />

are listed <strong>and</strong> briefly explained in Table 32.1. Various other individuals <strong>and</strong> groups<br />

have proposed extensions <strong>and</strong> embellishments to the list of criteria, but Hill’s formulation<br />

has the claim of simplicity as well as precedence, <strong>and</strong> therefore has been<br />

adopted here.<br />

In relation to diseases purportedly caused by tobacco, the weight of evidence available<br />

by at least the early 1960s had made such experiments unethical, even if they were practical,<br />

while experimental studies conducted in laboratory animals could contribute only<br />

to Hill’s criterion of biological plausibility because the potential for between-species<br />

differences limited their applicability to humans. Nevertheless, so-called ‘natural<br />

experiments’, in which the incidence of cardiovascular <strong>and</strong> other diseases are tracked<br />

as the smoking habits of a given population change, have contributed important<br />

information bearing on the criteria of temporal sequence <strong>and</strong> reversibility. These<br />

observations fall into a category known to epidemiologists as ‘ecological studies’<br />

Table 32.1 The Bradford Hill criteria for judgements about causation<br />

Criterion Test <strong>and</strong> its interpretation<br />

Strength Is the statistical relationship strong? Does it show a dose–response relationship—is<br />

a higher level of exposure to the putative cause associated with a greater risk of<br />

the disease?<br />

Consistency Is the relationship seen consistently in studies conducted at different historical<br />

periods, in different places, in different people (for example, in men as well as in<br />

women, in young people as well as in older ones, in different ethnic groups),<br />

<strong>and</strong> using different epidemiological methods (such as case–control <strong>and</strong><br />

cohort studies)?<br />

Temporal Do at least some of the studies provide incontrovertible evidence that exposure to<br />

sequence the putative cause preceded development of the alleged effect?<br />

Reversibility Is a reduction in exposure followed by a reduced risk of the disease of interest?<br />

This question is best answered in data from individuals, but indicative<br />

information may also be derived from studies of whole populations<br />

Specificity Is exposure to the putative causal factor associated with development of an<br />

outcome that is unique to that exposure?<br />

Biological Is there supportive evidence from experimental studies in other species <strong>and</strong> from<br />

plausibility laboratory work on relevant organs, tissues, <strong>and</strong> other physiological systems?<br />

A systematic search for, <strong>and</strong> failure to find, evidence that would not support<br />

a conclusion of biological plausibility can be very useful here in demonstrating<br />

that the overall body of evidence is ‘coherent’.

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