Dialysis Search Filters for PubMed, Ovid MEDLINE, and Embase Databases

Abstract

SummaryBackground and objectives 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.Design, setting, participants, & measurements A diagnostic test assessment framework was used to develop and test robust dialysis filters. The reference standard was a manual review of the full texts of 22,992 articles from 39 journals to determine whether each article contained dialysis information. Next, 1,623,728 unique search filters were developed, and their ability to retrieve relevant articles was evaluated.Results The high-performance dialysis filters consisted of up to 65 search terms in combination. These terms included the words "dialy" (truncated), "uremic," "catheters," and "renal transplant wait list." These filters reached peak sensitivities of 98.6% and specificities of 98.5%. The filters' performance remained robust in an independent validation subset of articles.Conclusions These empirically derived and validated high-performance search filters should enable physicians to effectively retrieve dialysis information from PubMed, Ovid MEDLINE, and Embase.

Pharmacokinetics of Metformin in Patients Receiving Regular Hemodiafiltration

“…Most references discourage its use at a creatinine clearance , 30 mL/min. 1,2 Recently, we showed that with appropriate dose reduction, metformin can be safely administered to patients with creatinine clearances as low as 15 mL/min without metformin or lactate concentrations increasing. 3,4 One patient in this cohort was also on hemodiafiltration (HDF) and had no elevation of metformin or lactate concentrations.…”

Topic search filters: a systematic scoping review

“… Clinical conditions (Damarell, Tieman, Olver, & Currow, ; Damarell, Tieman, Sladek, et al., ; Hayman & Tieman, ; Hildebrand et al., , ; Iansavichus et al., ; Jenuwine & Floyd, ; Li & Lu, ; Shaheem & Tieman, ; Wilczynski & Haynes, ) Clinical disciplines (Brown et al., ; Durão, Kredo, & Volmink, ; Garg et al., ; Gill, Roberts, Wang, & Heneghan, ; Iansavichus et al., ; Jenuwine & Floyd, ; Li & Lu, ; Olaussen, Semple, Oteir, Todd, & Williams, ; Pols, Bramer, Bindels, van de Laar, & Bohnen, ; Sladek, Tieman, Fazekas, Abernethy, & Currow, ; Van de Glind, van Munster, Spijker, Scholten, & Hooft, ) Clinical interventions (Haslinghuis‐Bajan et al., ; Iansavichus et al., ; Kirk, Damarell, Tieman, & Harvey, ; Lee, Iansavichus et al., ) Demography (Hooijmans, Tillema, Leenaars, & Ritskes‐Hoitinga, ; Kastner, Wilczynski, Walker‐Dilks, McKibbon, & Haynes, ; Leclercq, Leeflang, van Dalen, & Kremer, ; Moerman, Deurenberg, & Haafkens, ; Song, Simonsen, Wilson, & Jenkins, ; Stewart et al., ; Tieman, Lawrence, Damarell, Sladek, & Nikolof, ) Geography (Ayiku et al., ; Pienaar, Grobler, Busgeeth, Eisinga, & Siegfried, ; Valderas, Mendivil, Parada, Losada‐Yanez, & Alonso, ) Health care delivery issues (Hempel et al., ; Lokker et al., ; McKibbon et al., ; Mesgarpour, Muller, & Herkner, 2012a, 2012b; Simon, Hausner, Klaus, & Dunton, ; Tanon et al., ; Varela‐Lema, Punal‐Rioboo, Accion, Ruano‐Ravina, & Garcia, ; Wilczynski & Haynes, ) Non‐clinical patient and carer issues (Johnson, Tongbram, Ndirangu, Ogden, & Bay, ; Petrova, Sutcliffe, Fulford, & Dale, ; Rogers, Bethel, & Boddy, ; Selva et al., ; Tieman, Hayman, &a...…”

“…All search filters were reported in the published literature with the exception of two unpublished conference posters (Damarell, Tieman, Olver, et al., ; Kirk et al., ) and one unpublished report (Shaheem & Tieman, ). A significant number of the topic filters (16/54; 30%) have been implemented into websites as one‐click, hyperlink searches (Damarell, Tieman, Olver, et al., ; Damarell, Tieman, Sladek, et al., ; Hayman & Tieman, ; Kirk et al., ; Shaheem & Tieman, ; Sladek et al., ; Tieman et al., ) or in the form of a search portal allowing users to enter their own search terms in combination with the filter (Brown et al., ; Garg et al., ; Hildebrand et al., , ; Iansavichus et al., , , ; Lee, Iansavichus et al., ; Tieman et al., ). Some are provided as search strings on websites for direct copy and paste into database search boxes (Lokker et al., ; McKibbon et al., ; Song et al., ).…”

“…By embedding the best evidence about searching into a predefined strategy, search filters seek to minimise variations and deficits in individuals’ searching knowledge and skills and can prevent ‘reinventing the wheel’ for commonly sought searches. Several studies have demonstrated search filter superiority in direct head‐to‐head comparisons with clinician subject specialist searches (Damarell & Tieman, ; Garg et al., ; Hildebrand et al., , ; Iansavichus et al., , , ; Lee, Iansavichus et al., ).…”

“…Often filter developers provide different versions of a filter, each with a different level of search performance. The same filter may be represented, for example, by a highly sensitive filter and a highly specific filter (Iansavichus et al., ), and even an ‘optimised’ version that minimises the difference between these two metrics (McKibbon et al., ). These variants are a recognition that not all end‐users have the same information retrieval needs.…”