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1. 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.

  • Genetic Alliance. consumer health - Bladder cancer.
  • MedlinePlus Health Information. consumer health - Bladder Cancer.
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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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2. Xuan W, Dai M, Mirel B, Song J, Athey B, Watson SJ, Meng F: Open Biomedical Ontology-based Medline exploration. BMC Bioinformatics; 2009 May 06;10 Suppl 5:S6
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  • [Source] The source of this record is MEDLINE®, a database of the U.S. National Library of Medicine.
  • [Title] Open Biomedical Ontology-based Medline exploration.
  • BACKGROUND: Effective Medline database exploration is critical for the understanding of high throughput experimental results and the development of novel hypotheses about the mechanisms underlying the targeted biological processes.
  • While existing solutions enhance Medline exploration through different approaches such as document clustering, network presentations of underlying conceptual relationships and the mapping of search results to MeSH and Gene Ontology trees, we believe the use of multiple ontologies from the Open Biomedical Ontology can greatly help researchers to explore literature from different perspectives as well as to quickly locate the most relevant Medline records for further investigation.
  • RESULTS: We developed an ontology-based interactive Medline exploration solution called PubOnto to enable the interactive exploration and filtering of search results through the use of multiple ontologies from the OBO foundry.
  • The PubOnto program is a rich internet application based on the FLEX platform.
  • It contains a number of interactive tools, visualization capabilities, an open service architecture, and a customizable user interface.
  • It is freely accessible at: http://brainarray.mbni.med.umich.edu/brainarray/prototype/pubonto.

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  • (PMID = 19426463.001).
  • [ISSN] 1471-2105
  • [Journal-full-title] BMC bioinformatics
  • [ISO-abbreviation] BMC Bioinformatics
  • [Language] ENG
  • [Grant] United States / NIDA NIH HHS / DA / U54 DA021519; United States / NIDA NIH HHS / DA / 1U54DA021519-01A1
  • [Publication-type] Journal Article; Research Support, N.I.H., Extramural
  • [Publication-country] England
  • [Other-IDs] NLM/ PMC2679406
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