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Filtering Medline for a clinical discipline: diagnostic test assessment framework.

Garg AX, Iansavichus AV, Wilczynski NL, Kastner M, Baier LA, Shariff SZ, Rehman F, Weir M, McKibbon KA, Haynes RB - BMJ (2009)

Bottom Line: The performance of 1 155 087 unique renal filters was compared with the manual review.Storing these high performance renal filters in PubMed could help clinicians with their everyday searching.Filters can also be developed for other clinical disciplines by using similar methods.

View Article: PubMed Central - PubMed

Affiliation: Division of Nephrology, University of Western Ontario, London, ON, Canada N6A 5C1. amit.garg@lhsc.on.ca

ABSTRACT

Objective: To develop and test a Medline filter that allows clinicians to search for articles within a clinical discipline, rather than searching the entire Medline database.

Design: Diagnostic test assessment framework with development and validation phases.

Setting: Sample of 4657 articles published in 2006 from 40 journals. Reviews Each article was manually reviewed, and 19.8% contained information relevant to the discipline of nephrology. The performance of 1 155 087 unique renal filters was compared with the manual review.

Main outcome measures: Sensitivity, specificity, precision, and accuracy of each filter.

Results: The best renal filters combined two to 14 terms or phrases and included the terms "kidney" with multiple endings (that is, truncation), "renal replacement therapy", "renal dialysis", "kidney function tests", "renal", "nephr" truncated, "glomerul" truncated, and "proteinuria". These filters achieved peak sensitivities of 97.8% and specificities of 98.5%. Performance of filters remained excellent in the validation phase.

Conclusions: Medline can be filtered for the discipline of nephrology in a reliable manner. Storing these high performance renal filters in PubMed could help clinicians with their everyday searching. Filters can also be developed for other clinical disciplines by using similar methods.

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Related in: MedlinePlus

Fig 1 Searching without using filter
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fig1: Fig 1 Searching without using filter

Mentions: To search for information on the effectiveness of hepatitis B vaccination in chronic kidney disease, for example, one could type a phrase as shown in figure 1. Alternatively, one could choose to use a renal filter and simply type in the phrase “hepatitis B vaccination” (fig 2). One would then no longer be searching the entire Medline database but, rather, searching within a set of articles relevant to a discipline. Selecting a discipline filter removes the need to type in terms for that discipline. The filter would use a pre-programmed combination of medical subject headings (MeSH), explosions, subheadings, and text words of key concepts, words, and phrases to embody a discipline of interest, in this case nephrology.6 7


Filtering Medline for a clinical discipline: diagnostic test assessment framework.

Garg AX, Iansavichus AV, Wilczynski NL, Kastner M, Baier LA, Shariff SZ, Rehman F, Weir M, McKibbon KA, Haynes RB - BMJ (2009)

Fig 1 Searching without using filter
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC2746885&req=5

fig1: Fig 1 Searching without using filter
Mentions: To search for information on the effectiveness of hepatitis B vaccination in chronic kidney disease, for example, one could type a phrase as shown in figure 1. Alternatively, one could choose to use a renal filter and simply type in the phrase “hepatitis B vaccination” (fig 2). One would then no longer be searching the entire Medline database but, rather, searching within a set of articles relevant to a discipline. Selecting a discipline filter removes the need to type in terms for that discipline. The filter would use a pre-programmed combination of medical subject headings (MeSH), explosions, subheadings, and text words of key concepts, words, and phrases to embody a discipline of interest, in this case nephrology.6 7

Bottom Line: The performance of 1 155 087 unique renal filters was compared with the manual review.Storing these high performance renal filters in PubMed could help clinicians with their everyday searching.Filters can also be developed for other clinical disciplines by using similar methods.

View Article: PubMed Central - PubMed

Affiliation: Division of Nephrology, University of Western Ontario, London, ON, Canada N6A 5C1. amit.garg@lhsc.on.ca

ABSTRACT

Objective: To develop and test a Medline filter that allows clinicians to search for articles within a clinical discipline, rather than searching the entire Medline database.

Design: Diagnostic test assessment framework with development and validation phases.

Setting: Sample of 4657 articles published in 2006 from 40 journals. Reviews Each article was manually reviewed, and 19.8% contained information relevant to the discipline of nephrology. The performance of 1 155 087 unique renal filters was compared with the manual review.

Main outcome measures: Sensitivity, specificity, precision, and accuracy of each filter.

Results: The best renal filters combined two to 14 terms or phrases and included the terms "kidney" with multiple endings (that is, truncation), "renal replacement therapy", "renal dialysis", "kidney function tests", "renal", "nephr" truncated, "glomerul" truncated, and "proteinuria". These filters achieved peak sensitivities of 97.8% and specificities of 98.5%. Performance of filters remained excellent in the validation phase.

Conclusions: Medline can be filtered for the discipline of nephrology in a reliable manner. Storing these high performance renal filters in PubMed could help clinicians with their everyday searching. Filters can also be developed for other clinical disciplines by using similar methods.

Show MeSH
Related in: MedlinePlus