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1. Damarell RA, Tieman J, Sladek RM, Davidson PM: Development of a heart failure filter for Medline: an objective approach using evidence-based clinical practice guidelines as an alternative to hand searching. BMC Med Res Methodol; 2011;11:12
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  • [Source] The source of this record is MEDLINE®, a database of the U.S. National Library of Medicine.
  • [Title] Development of a heart failure filter for Medline: an objective approach using evidence-based clinical practice guidelines as an alternative to hand searching.
  • BACKGROUND: Heart failure is a highly debilitating syndrome with a poor prognosis primarily affecting the elderly.
  • Clinicians wanting timely access to heart failure evidence to provide optimal patient care can face many challenges in locating this evidence.
  • This study developed and validated a search filter of high clinical utility for the retrieval of heart failure articles in OvidSP Medline.
  • METHODS: A Clinical Advisory Group was established to advise study investigators.
  • The study set of 876 relevant articles from four heart failure clinical practice guidelines was divided into three datasets: a Term Identification Set, a Filter Development Set, and a Filter Validation Set.
  • A further validation set (the Cochrane Validation Set) was formed using studies included in Cochrane heart failure systematic reviews.
  • Candidate search terms were identified via word frequency analysis.
  • The filter was developed by creating combinations of terms and recording their performance in retrieving items from the Filter Development Set.
  • The filter's recall was then validated in both the Filter Validation Set and the Cochrane Validation Set.
  • A precision estimate was obtained post-hoc by running the filter in Medline and screening the first 200 retrievals for relevance to heart failure.
  • RESULTS: The four-term filter achieved a recall of 96.9% in the Filter Development Set; 98.2% in the Filter Validation Set; and 97.8% in the Cochrane Validation Set.
  • Of the first 200 references retrieved by the filter when run in Medline, 150 were deemed relevant and 50 irrelevant.
  • The post-hoc precision estimate was therefore 75%.
  • CONCLUSIONS: This study describes an objective method for developing a validated heart failure filter of high recall performance and then testing its precision post-hoc.
  • Clinical practice guidelines were found to be a feasible alternative to hand searching in creating a gold standard for filter development.
  • Guidelines may be especially appropriate given their clinical utility.
  • A validated heart failure filter is now available to support health professionals seeking reliable and efficient access to the heart failure literature.
  • [MeSH-major] Evidence-Based Medicine. Heart Failure / therapy. Information Storage and Retrieval / methods. MEDLINE. Practice Guidelines as Topic
  • [MeSH-minor] Humans. Medical Subject Headings

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  • (PMID = 21272371.001).
  • [ISSN] 1471-2288
  • [Journal-full-title] BMC medical research methodology
  • [ISO-abbreviation] BMC Med Res Methodol
  • [Language] eng
  • [Publication-type] Journal Article; Research Support, Non-U.S. Gov't
  • [Publication-country] England
  • [Other-IDs] NLM/ PMC3037346
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2. Joshi A, Preslan E: Risk factors for bladder cancer: challenges of conducting a literature search using PubMed. Perspect Health Inf Manag; 2011 Apr 01;8:1e
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  • [Source] The source of this record is MEDLINE®, a database of the U.S. National Library of Medicine.
  • [Title] Risk factors for bladder cancer: challenges of conducting a literature search using PubMed.
  • The objective of this study was to assess the risk factors for bladder cancer using PubMed articles from January 2000 to December 2009.
  • The study also aimed to describe the challenges encountered in the methodology of a literature search for bladder cancer risk factors using PubMed.
  • Twenty-six categories of risk factors for bladder cancer were identified using the National Cancer Institute Web site and the Medical Subject Headings (MeSH) Web site.
  • A total of 1,338 PubMed searches were run using the term "urinary bladder cancer" and a risk factor term (e.g., "cigarette smoking") and were screened to identify 260 articles for final analysis.
  • The search strategy had an overall precision of 3.42 percent, relative recall of 12.64 percent, and an F-measure of 5.39 percent.
  • Although search terms derived from MeSH had the highest overall precision and recall, the differences did not reach significance, which indicates that for generalized, free-text searches of the PubMed database, the searchers' own terms are generally as effective as MeSH terms.

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  • [CommentIn] Perspect Health Inf Manag. 2011;8:1g [22016673.001]
  • (PMID = 21464862.001).
  • [ISSN] 1559-4122
  • [Journal-full-title] Perspectives in health information management
  • [ISO-abbreviation] Perspect Health Inf Manag
  • [Language] ENG
  • [Publication-type] Journal Article
  • [Publication-country] United States
  • [Other-IDs] NLM/ PMC3070234
  • [Keywords] NOTNLM ; PubMed / bladder cancer / information / retrieval / risk factors
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