Building a gold standard to construct search filters: a case study with biomarkers for oral cancer.
Objective: To support clinical researchers, librarians and informationists may need search filters for particular tasks. Development of filters typically depends on a ‘‘gold standard'' dataset. This paper describes generalizable methods for creating a gold standard to support future filter developme...
| Publicado en: | Journal of the Medical Library Association Vol. 103; no. 1; pp. 22 - 31 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
University of Pittsburgh, University Library System
Jan2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=103873095&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 103873095 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15365050 PI8 jtl: Journal of the Medical Library Association issn: 15365050 maglogo: N pubinfo: dt: Jan2015 vid: 103 iid: 1 pid: 60406 pub: University of Pittsburgh, University Library System place: Pittsburgh, Pennsylvania artinfo: ui: 103873095 100345944 10.3163/1536-5050.103.1.005 NLM25552941 PMC4279929 103873095 ppf: 22 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Building a gold standard to construct search filters: a case study with biomarkers for oral cancer. aug: au: Frazier, John J. Stein, Corey D. Tseytlin, Eugene Bekhuis, Tanja affil: Fellow of the American Academy of Oral and Maxillofacial Pathology, Diplomate of the American Board of Oral and Maxillofacial Pathology, and National Library of Medicine Fellow sug: subj: Information Retrieval Biological Markers Mouth Neoplasms Medline Funding Source Subject Headings Embase Prognosis Human ab: Objective: To support clinical researchers, librarians and informationists may need search filters for particular tasks. Development of filters typically depends on a ‘‘gold standard'' dataset. This paper describes generalizable methods for creating a gold standard to support future filter development and evaluation using oral squamous cell carcinoma (OSCC) as a case study. OSCC is themost commonmalignancy affecting the oral cavity. Investigation of biomarkers with potential prognostic utility is an active area of research in OSCC. The methods discussed here should be useful for designing quality search filters in similar domains. Methods: The authors searched MEDLINE for prognostic studies of OSCC, developed annotation guidelines for screeners, ran three calibration trials before annotating the remaining body of citations, and measured inter-annotator agreement (IAA). Results: We retrieved 1,818 citations. After calibration, we screened the remaining citations (n51,767; 97.2%); IAA was substantial (kappa50.76). The dataset has 497 (27.3%) citations representing OSCC studies of potential prognostic biomarkers. Conclusions: The gold standard dataset is likely to be high quality and useful for future development and evaluation of filters for OSCC studies of potential prognostic biomarkers. Implications: The methodology we used is generalizable to other domains requiring a reference standard to evaluate the performance of search filters. A gold standard is essential because the labels regarding relevance enable computation of diagnostic metrics, such as sensitivity and specificity. Librarians and informationists with data analysis skills could contribute to developing gold standard datasets and subsequent filters tuned for their patrons' domains of interest. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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