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Systematic searching in Ovid Embase: understanding the MEDLINE document collection and identifying conference records

Levay, P.

2022-04-27 health informatics
10.1101/2022.04.23.22274201 medRxiv
Show abstract

Ovid Embase is an important database in systematic searches for health and medical topics. This paper shows how the document collections on Ovid Embase can be used to limit searches and isolate the unique content from MEDLINE that is available on Embase. This is used to test a method for identifying conference records from Embase. The recommended method found 5,108,945 conference records on Embase on Ovid March 1 2022, about 14% of the database. Search strategies are provided for the scenarios that are most likely to be encountered in systematic searches.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.