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Douglas G Altman Imperial Cancer Research Fund Medical
Statistics Group, Centre for Statistics in Medicine, Institute of
Health Sciences, Oxford OX3 7LF
| The first 150 words of the full text of this article appear below. |
Prognostic studies include clinical studies of variables predictive of future events as well as epidemiological studies of aetiological risk factors. As multiple similar studies accumulate it becomes increasingly important to identify and evaluate all of the relevant studies to develop a more reliable overall assessment. For prognostic studies this is not straightforward.
Box 1 summarises the clinical importance of information on prognostic
factors. Many of the issues discussed are also relevant to aetiological
studies, especially cohort ones. Some features of prognostic studies
lead to particular difficulties for the systematic reviewer. Firstly,
in most clinical prognostic studies the outcome of primary interest is
the time to an event, often death. Meta-analysis of such studies is
rather more difficult than that for binary data or continuous
measurements. Secondly, in many contexts the prognostic variable of
interest is often one of several prognostic variables. When examining a
variable of interest researchers should consider
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