Grindlay Douglas J C, Brennan Marnie L, Dean Rachel S
Centre for Evidence-based Veterinary Medicine, School of Veterinary Medicine and Science, The University of Nottingham, Loughborough, UK.
J Vet Med Educ. 2012 Winter;39(4):404-12. doi: 10.3138/jvme.1111.109R.
A thorough search of the literature to find the best evidence is central to the practice of evidence-based veterinary medicine. This requires knowing which databases to search to maximize journal coverage. The aim of the present study was to compare the coverage of active veterinary journals by nine bibliographic databases to inform future systematic reviews and other evidence-based searches. Coverage was assessed using lists of included journals produced by the database providers. For 121 active veterinary journals in the "Basic List of Veterinary Medical Serials, Third Edition," the percentage coverage was the highest for Scopus (98.3%) and CAB Abstracts (97.5%). For an extensive list of 1,139 journals with significant veterinary content compiled from a variety of sources, coverage was much greater in CAB Abstracts (90.2%) than in any other database, the next highest coverage being in Scopus (58.3%). The maximum coverage of the extensive journal list that could be obtained in a search without including CAB Abstracts was 69.8%. It was concluded that to maximize journal coverage and avoid missing potentially relevant evidence, CAB Abstracts should be included in any veterinary literature search.
全面检索文献以找到最佳证据是循证兽医学实践的核心。这需要知道搜索哪些数据库以最大化期刊覆盖范围。本研究的目的是比较九个书目数据库对活跃兽医学期刊的覆盖范围,以为未来的系统评价和其他循证搜索提供参考。使用数据库提供商提供的收录期刊列表评估覆盖范围。对于《兽医医学连续出版物基本列表(第三版)》中的121种活跃兽医学期刊,Scopus的覆盖百分比最高(98.3%),其次是CAB Abstracts(97.5%)。对于从各种来源汇编的包含大量兽医学内容的1139种期刊的广泛列表,CAB Abstracts的覆盖范围(90.2%)比任何其他数据库都要大得多,其次是Scopus(58.3%)。在不包括CAB Abstracts的搜索中,可获得的广泛期刊列表的最大覆盖范围为69.8%。得出的结论是,为了最大化期刊覆盖范围并避免遗漏潜在相关证据,任何兽医学文献搜索都应包括CAB Abstracts。