ASSESSMENT OF BIBLIOGRAPHIC DATABASES PERFORMANCE IN INFORMATION-RETRIEVAL FOR OCCUPATIONAL AND ENVIRONMENTAL TOXICOLOGY

Citation
Jf. Gehanno et al., ASSESSMENT OF BIBLIOGRAPHIC DATABASES PERFORMANCE IN INFORMATION-RETRIEVAL FOR OCCUPATIONAL AND ENVIRONMENTAL TOXICOLOGY, Occupational and environmental medicine, 55(8), 1998, pp. 562-566
Citations number
8
Categorie Soggetti
Public, Environmental & Occupation Heath
ISSN journal
13510711
Volume
55
Issue
8
Year of publication
1998
Pages
562 - 566
Database
ISI
SICI code
1351-0711(1998)55:8<562:AOBDPI>2.0.ZU;2-7
Abstract
Objective-To determine the efficiency of the major bibliographic datab ases by assessing the percentage of references among the total literat ure available that can be retrieved from each database. We also evalua ted the best database combinations to carry out an exhaustive search. Methods-BIOSIS, EMBASE, MEDLINE, NIOSH-TIC, and TOXLINE were searched on two topics: allergy to latex and asbestos and mesothelioma, in the title, abstract, or keywords (textwords). This search was performed fo r the years 1994 and 1995. All the records were classified by journal and author's name and were verified for each record whether or not it was indexed in each database. Statistical analysis was performed with chi(2) test. Results-777 articles in 510 issues were found. The effici ency of each database (percentage of articles recovered) and of combin ations varied between 11% and 63% for one database and between 42% and 86% for a combination of two databases. The reasons why these differe nces exist between databases, and within a database, between two diffe rent subjects or two different years are reported. Conclusion-Firstly, it is not advisable to assert that a bibliography is complete when on ly one database is searched. Secondly, the efficiency of the databases may be quite different. Finally, it is suggested that the best way to be as exhaustive as possible is to search two or more databases-for e xample, in EMBASE and TOXLINE, or to a lesser extent EMBASE and MEDLIN E. This seems to be the best compromise solution between time consumed for searching and efficiency.