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Dialysis Search Filters for PubMed, Ovid MEDLINE, and Embase Databases
Author(s) -
Arthur V. Iansavichus,
R. Brian Haynes,
Christopher W.C. Lee,
Nancy L Wilczynski,
Ann McKibbon,
Salimah Z. Shariff,
Peter G. Blake,
Robert M. Lindsay,
Amit X. Garg
Publication year - 2012
Publication title -
clinical journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.755
H-Index - 151
eISSN - 1555-905X
pISSN - 1555-9041
DOI - 10.2215/cjn.02360312
Subject(s) - medicine , medline , dialysis , intensive care medicine , peritoneal dialysis , hemodialysis , information retrieval , database , computer science , political science , law
Physicians frequently search bibliographic databases, such as MEDLINE via PubMed, for best evidence for patient care. The objective of this study was to develop and test search filters to help physicians efficiently retrieve literature related to dialysis (hemodialysis or peritoneal dialysis) from all other articles indexed in PubMed, Ovid MEDLINE, and Embase.

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