Literature DB >> 7837159

Performance of online biomedical databases in rheumatology.

C Ramos-Remus1, M Suarez-Almazor, M Dorgan, A Gomez-Vargas, A S Russell.   

Abstract

OBJECTIVE: To compare the performance of MEDLINE, EMBASE, and BIOSIS in selected rheumatology topics.
METHODS: Online literature searches were conducted with regard to the epidemiology of rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and ankylosing spondylitis (AS), as well as for 3 specific questions representing clinical, clinical/laboratory, and therapeutic topics in rheumatology. Total number of citations retrieved, type and language of publication, percentage of contribution from rheumatology journals, and degree of overlap among the databases were recorded. Publications retrieved for the 3 specific questions were also graded for relevance.
RESULTS: For 1991, each online biomedical database (OBD) retrieved more than 1,100 citations for RA, over 600 for SLE, and over 110 for AS. For the epidemiology subtopic, fewer than 25% of the citations were retrieved by more than one of the databases. About 3/4 of the citations obtained for the specific search questions were retrieved by a single database. No major differences were observed among databases in relation to number of relevance of citations retrieved. Over 60% of the papers assessed had low relevance in relation to the topic of the search. Efficiency was estimated as the percentage of all relevant citations retrieved by each OBD. Results varied according to the topic, but in most cases each database retrieved at least 50% of the relevant citations. About 45% of the citations retrieved for the 3 search questions were published in nonrheumatology journals.
CONCLUSION: No database was superior in all respects. The majority of the citations were retrieved by a single database. A high percentage of the articles retrieved were not relevant, implying low specificity. If a comprehensive online search in rheumatology is required, 2 or more databases should be utilized.

Entities:  

Mesh:

Year:  1994        PMID: 7837159

Source DB:  PubMed          Journal:  J Rheumatol        ISSN: 0315-162X            Impact factor:   4.666


  7 in total

1.  Complementary use of the SciSearch database for improved biomedical information searching.

Authors:  C M Brown
Journal:  Bull Med Libr Assoc       Date:  1998-01

2.  Filtering Medline for a clinical discipline: diagnostic test assessment framework.

Authors:  Amit X Garg; Arthur V Iansavichus; Nancy L Wilczynski; Monika Kastner; Leslie A Baier; Salimah Z Shariff; Faisal Rehman; Matthew Weir; K Ann McKibbon; R Brian Haynes
Journal:  BMJ       Date:  2009-09-18

3.  Systematic reviews of epidemiology in diabetes: finding the evidence.

Authors:  Pamela Royle; Lynda Bain; Norman Waugh
Journal:  BMC Med Res Methodol       Date:  2005-01-08       Impact factor: 4.615

4.  Multidisciplinary bibliographic databases.

Authors:  Armen Yuri Gasparyan; Lilit Ayvazyan; George D Kitas
Journal:  J Korean Med Sci       Date:  2013-09       Impact factor: 2.153

Review 5.  Better duplicate detection for systematic reviewers: evaluation of Systematic Review Assistant-Deduplication Module.

Authors:  John Rathbone; Matt Carter; Tammy Hoffmann; Paul Glasziou
Journal:  Syst Rev       Date:  2015-01-14

6.  Optimizing literature search in systematic reviews - are MEDLINE, EMBASE and CENTRAL enough for identifying effect studies within the area of musculoskeletal disorders?

Authors:  Thomas Aagaard; Hans Lund; Carsten Juhl
Journal:  BMC Med Res Methodol       Date:  2016-11-22       Impact factor: 4.615

7.  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
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.