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dc.contributor.authorZwahlen, Marcel
dc.contributor.authorRenehan, Andrew G
dc.contributor.authorEgger, Matthias
dc.date.accessioned2009-05-12T18:20:45Z
dc.date.available2009-05-12T18:20:45Z
dc.date.issued2009-05-12T18:20:45Z
dc.identifier.citationMeta-analysis in medical research: potentials and limitations., 26 (3):320-9 Urol. Oncol.en
dc.identifier.issn1078-1439
dc.identifier.pmid18452828
dc.identifier.doi10.1016/j.urolonc.2006.12.001
dc.identifier.urihttp://hdl.handle.net/10541/67990
dc.description.abstractMeta-analysis, the statistical combination of results from several studies to produce a single estimate of a treatment effect or size of an association, continues to attract controversy. We illustrate and discuss the promises and limitations of meta-analysis. Meta-analysis of clinical trials can prevent delays in the introduction of effective treatments or lead to the timely identification of adverse effects. However, meta-analyses are liable to numerous biases, both at the level of the individual study and the selection of studies for inclusion in meta-analysis. The biases and confounding factors that threaten the validity of individual studies will also affect meta-analyses of observational studies. We argue that meta-analyses should only be performed within the framework of systematic reviews that have been prepared using methods that minimize bias and address the combinability of studies.
dc.language.isoenen
dc.subjectHeterogeityen
dc.subjectMedical Researchen
dc.subject.meshBiomedical Research
dc.subject.meshControlled Clinical Trials as Topic
dc.subject.meshHumans
dc.subject.meshMedical Oncology
dc.subject.meshMeta-Analysis as Topic
dc.subject.meshMyocardial Infarction
dc.subject.meshReview Literature as Topic
dc.subject.meshUrology
dc.titleMeta-analysis in medical research: potentials and limitations.en
dc.typeArticleen
dc.contributor.departmentDepartment of Social and Preventive Medicine, University of Berne, Berne, Switzerland. zwahlen@ispm.unibe.chen
dc.identifier.journalUrologic Oncologyen
html.description.abstractMeta-analysis, the statistical combination of results from several studies to produce a single estimate of a treatment effect or size of an association, continues to attract controversy. We illustrate and discuss the promises and limitations of meta-analysis. Meta-analysis of clinical trials can prevent delays in the introduction of effective treatments or lead to the timely identification of adverse effects. However, meta-analyses are liable to numerous biases, both at the level of the individual study and the selection of studies for inclusion in meta-analysis. The biases and confounding factors that threaten the validity of individual studies will also affect meta-analyses of observational studies. We argue that meta-analyses should only be performed within the framework of systematic reviews that have been prepared using methods that minimize bias and address the combinability of studies.


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