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In collaboration with McMaster University/Canada, IQWiG has developed two filters to seek for non-randomized research (NRS) in PubMed and Medline (OVID).
Study filters include an outlined mixture of search phrases to pre-select references with a selected examine design as precisely as potential. Controlled NRS are introduced very in a different way in databases. Without a particular examine filter for NRS, searches have due to this fact thus far produced a really massive variety of hits, from which related NRS need to be filtered out manually in a really time-consuming course of. With the assistance of the brand new examine filters, the variety of hits can now be markedly decreased when conducting a scientific seek for NRS within the PubMed and Medline (Ovid) databases.
An IQWiG workforce developed two NRS search filters in collaboration with researchers from the Department of Health Research Methods, Evidence & Impact at McMaster University/Canada. On the premise of 4544 pre-identified related NRS, the 2 new filters had been developed with the assistance of the McMaster Clinical Hedges Database: The search filter for a complete search identifies managed NRS in PubMed and Medline with a excessive sensitivity of 92.17%. The second search filter is optimized for extra centered searches for NRS and yields a specificity of 92.06%. Details on the event and validation of the search filters at the moment are obtainable in a publication.
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New filters to seek for non-randomized research in PubMed and Medline (2020, June 9)
retrieved 9 June 2020
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