Document Detail


Improving efficacy of PubMed Clinical Queries for retrieving scientifically strong studies on treatment.
MedLine Citation:
PMID:  16799123     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The authors evaluated the retrieval power of PubMed "Clinical Queries," narrow search string, about therapy in comparison with a modified search string to avoid possible retrieval bias. PubMed search strategy was compared to a slightly modified string that included the Britannic English term "randomised." The authors tested the two strings joined onto each of four terms concerning topics of broad interest: hypertension, hepatitis, diabetes, and heart failure. In particular, precision was computed for not-indexed citations. The added word "randomised" improved total citation retrieval in any case. Total retrieval gain for not-indexed citations ranged from 11.1% to 21.4%. A significant number of Randomized Controlled Trial(s) (RCT)s (9.1-18.2%) was retrieved for each of the selected topics. They were often recently published RCTs. The authors think that correction of the Clinical Queries filter (when they focus on therapy and use narrow searches) is necessary to avoid biased search results with loss of relevant and up-to-date scientifically sound information.
Authors:
Salvatore Corrao; Daniela Colomba; Sabrina Arnone; Christiano Argano; Tiziana Di Chiara; Rosario Scaglione; Giuseppe Licata
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article     Date:  2006-06-23
Journal Detail:
Title:  Journal of the American Medical Informatics Association : JAMIA     Volume:  13     ISSN:  1067-5027     ISO Abbreviation:  J Am Med Inform Assoc     Publication Date:    2006 Sep-Oct
Date Detail:
Created Date:  2006-09-07     Completed Date:  2006-10-12     Revised Date:  2013-06-07    
Medline Journal Info:
Nlm Unique ID:  9430800     Medline TA:  J Am Med Inform Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  485-7     Citation Subset:  IM    
Affiliation:
Biomedical Department of Internal Medicine, Piazza delle Cliniche 2, 90127 Palermo, Italy. s.corrao@tiscali.it
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MeSH Terms
Descriptor/Qualifier:
Abstracting and Indexing as Topic
Information Storage and Retrieval / methods*
PubMed*
Randomized Controlled Trials as Topic
Comments/Corrections
Comment In:
J Am Med Inform Assoc. 2007 Mar-Apr;14(2):247-8   [PMID:  17213490 ]

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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