BMJ 2001;323:224-228 ( 28 July )

Education and debate

Systematic reviews in health care

Systematic reviews of evaluations of prognostic variables

This is the last in a series of four articles

Douglas G Altman, director

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 . . . [Full text of this article]


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Rapid Responses:

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Problems with Prognostic Variables
Howard M Kravitz
bmj.com, 10 Aug 2001 [Full text]



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