Can meta-analysis cope with methodological errors and omissions common in published subfertility intervention studies? Andy Vail, Roseanne McNamee, Hope Hospital, Salford & University of Manchester £78,696 over 3 years.
Every year a large number of scientific reports on trials of treatments and other clinical interventions are published internationally. Because no individual could read all the papers relevant to their own practice, systematic reviews of reports about a particular intervention are carried out. These reviews, known as meta-analyses, summarise the published statistical evidence. Unfortunately, because published papers on fertility problems often contain errors, the findings of systematic reviews cannot be relied upon. This project will:
1.identify when meta-analysis of research on fertility problems is reliable and make best use of information from research already published
2.develop guidelines for systematic reviewers in this area on how to deal with common errors.
This should help to:
1. make it easier and quicker for health care professionals to find out about effective new advances as well as what does not work
2. lead to better treatment for women with fertility problems.
3. improve the quality of systematic reviews