Jönköping University Library, Jönköping University, Jönköping, Sweden.
School of Health and Welfare, Jönköping University, Jönköping, Sweden.
Prosthet Orthot Int. 2021 Jun 1;45(3):289-294. doi: 10.1097/PXR.0000000000000019.
Researchers and clinicians may find it challenging to identify relevant articles about limb prostheses in online databases. Searches may be improved by using standardized strategies, also known as filters or hedges.
To develop and validate a highly sensitive MEDLINE (EBSCOHost) search strategy for limb prostheses.
Search strategy development/validation.
A gold standard (GS) list of peer-reviewed articles on the topic of limb prostheses was created using a relative recall method. This involved identifying and including relevant systematic reviews/meta-analyses and then adding articles that were included in the analysis section of these reviews. Possible terms for the search strategy were identified through brainstorming and exploration of medical subject headings in MEDLINE (MeSH) and standards from the International Organization for Standardization (ISO). Concepts were grouped using relevant Boolean operators (e.g. AND and OR) and database record search fields (i.e. MeSH terms, title, and abstract). Part of the GS was used to refine the search strategy and reduce the number of records retrieved in total. The remaining GS set was used to validate and calculate sensitivity of the search strategy. Performance of the search strategy was compared against searches using only relevant MeSH terms.
After screening, the final GS totaled 853 records. The developed search strategy was highly sensitive (99.80%) and performed with higher relative recall than searches with relevant MeSH terms.
This study provides a highly sensitive search strategy that can be used by clinicians and researchers when searching for relevant literature on limb prostheses in MEDLINE (EBSCOHost).
研究人员和临床医生可能会发现，在在线数据库中识别与肢体假肢相关的文章具有挑战性。通过使用标准化策略（也称为过滤器或套期保值）可以改善搜索。
制定和验证针对肢体假肢的高度敏感的 MEDLINE（EBSCOHost）搜索策略。
搜索策略的开发/验证。
使用相对召回率方法创建了肢体假肢主题的同行评审文章的黄金标准 (GS) 列表。这涉及到识别和包括相关的系统评价/荟萃分析，然后添加这些综述分析部分中包含的文章。通过头脑风暴和探索 MEDLINE（MeSH）中的医学主题词以及国际标准化组织（ISO）的标准，确定了搜索策略的可能术语。使用相关的布尔运算符（例如 AND 和 OR）和数据库记录搜索字段（即 MeSH 术语、标题和摘要）对概念进行分组。GS 的一部分用于改进搜索策略并减少检索到的记录总数。剩余的 GS 集用于验证和计算搜索策略的灵敏度。比较了搜索策略的性能与仅使用相关 MeSH 术语的搜索。
经过筛选，最终的 GS 总数为 853 条记录。所开发的搜索策略具有很高的灵敏度（99.80%），并且比使用相关 MeSH 术语的搜索具有更高的相对召回率。
本研究提供了一种高度敏感的搜索策略，可供临床医生和研究人员在 MEDLINE（EBSCOHost）中搜索肢体假肢相关文献时使用。
