Literature DB >> 16799123

Improving efficacy of PubMed Clinical Queries for retrieving scientifically strong studies on treatment.

Salvatore Corrao1, Daniela Colomba, Sabrina Arnone, Christiano Argano, Tiziana Di Chiara, Rosario Scaglione, Giuseppe Licata.   

Abstract

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.

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Year:  2006        PMID: 16799123      PMCID: PMC1561795          DOI: 10.1197/jamia.M2084

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  3 in total

1.  PubMed: bridging the information gap.

Authors:  J McEntyre; D Lipman
Journal:  CMAJ       Date:  2001-05-01       Impact factor: 8.262

2.  Optimal search strategies for retrieving scientifically strong studies of treatment from Medline: analytical survey.

Authors:  R Brian Haynes; K Ann McKibbon; Nancy L Wilczynski; Stephen D Walter; Stephen R Werre
Journal:  BMJ       Date:  2005-05-13

3.  Developing optimal search strategies for detecting clinically sound studies in MEDLINE.

Authors:  R B Haynes; N Wilczynski; K A McKibbon; C J Walker; J C Sinclair
Journal:  J Am Med Inform Assoc       Date:  1994 Nov-Dec       Impact factor: 4.497

  3 in total
  9 in total

1.  Optimized search strategy for detecting scientifically strong studies on treatment through PubMed.

Authors:  Salvatore Corrao; Daniela Colomba; Christiano Argano; Luigi Calvo; Rosario Scaglione; Giuseppe Licata
Journal:  Intern Emerg Med       Date:  2012-03-17       Impact factor: 3.397

2.  Response to Corrao et al.: Improving efficacy of PubMed clinical queries for retrieving scientifically strong studies on treatment.

Authors:  Nancy L Wilczynski; R Brian Haynes
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

3.  Advice for health-care professionals on how to retrieve more efficiently scientifically strong and up-to-date studies on treatments by PubMed.

Authors:  Salvatore Corrao; Rosario Scaglione; Daniela Colomba; Luigi Calvo; Giuseppe Licata
Journal:  Intern Emerg Med       Date:  2008-02-09       Impact factor: 3.397

4.  Evidence-Based Knowledge Management: an approach to effectively promote good health-care decision-making in the Information Era.

Authors:  Salvatore Corrao; Vincenzo Arcoraci; Sabrina Arnone; Luigi Calvo; Rosario Scaglione; Cristofaro Di Bernardo; Roberto Lagalla; Achille Patrizio Caputi; Giuseppe Licata
Journal:  Intern Emerg Med       Date:  2008-08-16       Impact factor: 3.397

5.  Information management and complementary alternative medicine: the anatomy of information about CAMs through PubMed.

Authors:  Salvatore Corrao; Christiano Argano; Daniela Colomba; Calogero Ippolito; Vincenzo Gargano; Vincenzo Arcoraci; Giuseppe Licata
Journal:  Intern Emerg Med       Date:  2013-09-03       Impact factor: 3.397

6.  Developing topic-specific search filters for PubMed with click-through data.

Authors:  J Li; Z Lu
Journal:  Methods Inf Med       Date:  2013-05-13       Impact factor: 2.176

7.  Rethinking clinical decision-making to improve clinical reasoning.

Authors:  Salvatore Corrao; Christiano Argano
Journal:  Front Med (Lausanne)       Date:  2022-09-08

8.  Enhancing access to reports of randomized trials published world-wide--the contribution of EMBASE records to the Cochrane Central Register of Controlled Trials (CENTRAL) in The Cochrane Library.

Authors:  Carol Lefebvre; Anne Eisinga; Steve McDonald; Nina Paul
Journal:  Emerg Themes Epidemiol       Date:  2008-09-30

9.  Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?

Authors:  Julie Glanville; Eleanor Kotas; Robin Featherstone; Gordon Dooley
Journal:  J Med Libr Assoc       Date:  2020-10-01
  9 in total

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