Corrao, S., Colomba, D., Arnone, S., Argano, C., Di Chiara, T., Scaglione, R., & Licata, G. (2006). Improving efficacy of PubMed Clinical Queries for retrieving scientifically strong studies on treatment. Journal Of The American Medical Informatics Association, 13(5), 485-487.
Wilczynski, N., McKibbon, K., Walter, S., Garg, A., & Haynes, R. (2013). MEDLINE clinical queries are robust when searching in recent publishing years. Journal Of The American Medical Informatics Association, 20(2), 363-368. doi:10.1136/amiajnl-2012-001075
Lokker, C., Haynes, R., Wilczynski, N., McKibbon, K., & Walter, S. (2011). Retrieval of diagnostic and treatment studies for clinical use through PubMed and PubMed's Clinical Queries filters. Journal Of The American Medical Informatics Association, 18(5), 652-659.
Sayyah Ensan, L., Faghankhani, M., Javanbakht, A., Ahmadi, S., & Baradaran, H. (2011). To compare PubMed Clinical Queries and UpToDate in teaching information mastery to clinical residents: a crossover randomized controlled trial. Plos One, 6(8), e23487. doi:10.1371/journal.pone.0023487
PubMed Clinical Queries is a tool that automatically uses filters and MESH terms to produce results for clinical decision making.
PubMed filters allow you to be more specific about which types of articles you prefer to use. First choose the ones you may want from the More menu, then click on each one to see the articles displayed.
