Authors: *Hannah Schilperoort*, University of Southern California [presenter]; Andy Hickner, Weill Cornell Medicine; Margaret Foster, Texas A&M; Chelsea Misquith, Brown University; Jane Morgan-Daniel, University of Florida; Kate Saylor, University of Michigan; Tracy Shields, Naval Medical Center Portsmouth; Francis Toole, Dalhousie University; Robin Parker, Dalhousie University Objectives: Update and re-validate previously validated PubMed search filters for LGBTQIA+ populations with new MeSH terms and larger gold standard sets for subpopulations. Methods: We have reviewed the previously validated LGBTQIA+ and subpopulation filters and added relevant new MeSH and candidate terms. We will create development and validation sets for each subpopulation by extracting studies from systematic reviews that analyze that subpopulation as a unique population. We aim to develop test sets of at least 100 records for each of the development and validation sets. To ensure that the filter applies to a variety of topics, included studies from a minimum of five reviews will be retrieved for each subpopulation. We will conduct term frequency analysis on the citations in the development sets to identify additional terms for the filter and to identify frequently occurring terms. The resulting sensitive and optimized filters will be tested using the validation sets to report the sensitivity and relative recall. To test precision, the search will be run in PubMed and the first 250 records will be retrieved and screened for relevance. Results: We will share the search terms, sensitivity, relative recall, and precision for at least one subpopulation filter. Discussion: The results of this study will provide researchers validated and reliable search filters for conducting systematic reviews and other types of evidence syntheses with LGBTQIA+ populations. The use of validated search filters will lead to more comprehensive search results and result in higher quality evidence syntheses.