Li Li, Smith Helen E, Atun Rifat, Tudor Car Lorainne
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.
Cochrane Database Syst Rev. 2019 Mar 12;3(3):MR000041. doi: 10.1002/14651858.MR000041.pub2.
Systematic reviews are essential for decision-making. Systematic reviews on observational studies help answer research questions on aetiology, risk, prognosis, and frequency of rare outcomes or complications. However, identifying observational studies as part of systematic reviews efficiently is challenging due to poor and inconsistent indexing in literature databases. Search strategies that include a methodological filter focusing on study design of observational studies might be useful for improving the precision of the search performance.
To assess the sensitivity and precision of a search strategy with a methodological filter to identify observational studies in MEDLINE and Embase.
We searched MEDLINE (1946 to April 2018), Embase (1974 to April 2018), CINAHL (1937 to April 2018), the Cochrane Library (1992 to April 2018), Google Scholar and Open Grey in April 2018, and scanned reference lists of articles.
Studies using a relative recall approach, i.e. comparing sensitivity or precision of a search strategy containing a methodological filter to identify observational studies in MEDLINE and Embase against a reference standard, or studies that compared two or more methodological filters.
Two review authors independently screened articles, extracted relevant information and assessed the quality of the search strategies using the InterTASC Information Specialists' Sub-Group (ISSG) Search Filter Appraisal Checklist.
We identified two eligible studies reporting 18 methodological filters. All methodological filters in these two studies were developed using terms from the reference standard records.The first study evaluated six filters for retrieving observational studies of surgical interventions. The study reported on six filters: one Precision Terms Filter (comprising terms with higher precision while maximum sensitivity was maintained) and one Specificity Terms Filter (comprising terms with higher specificity while maximum sensitivity was maintained), both of which were adapted for MEDLINE, for Embase, and for combined MEDLINE/Embase searches. The study reported one reference standard consisting of 217 articles from one systematic review of which 83.9% of the included studies were case seriesThe second study reported on 12 filters for retrieving comparative non-randomised studies (cNRSs) including cohort, case-control, and cross-sectional studies. This study reported on 12 filters using four different approaches: Fixed method A (comprising of a fixed set of controlled vocabulary (CV) words), Fixed method B (comprising a fixed set of CV words and text words (TW)), Progressive method (CV) (a random choice of study design-related CV terms), and Progressive method (CV or TW) (a random choice of study design-related CV terms, and title and abstracts-based TWs). The study reported four reference standards consisting of 89 cNRSs from four systematic reviews.The six methodological filters developed from the first study reported sensitivity of 99.5% to 100% and precision of 16.7% to 21.1%. The Specificity Terms Filter for combined MEDLINE/Embase was preferred because it had higher precision and equal sensitivity to the Precision Terms Filter. The 12 filters from the second study reported lower sensitivity (48% to 100%) and much lower precision (0.09% to 4.47%). The Progressive method (CV or TW) had the highest sensitivity.There were methodological limitations in both included studies. The first study used one surgical intervention-focused systematic review thus limiting the generalizability of findings. The second study used four systematic reviews but with less than 100 studies. The external validation was performed only on Specificity Terms Filter from the first study Both studies were published 10 years ago and labelling and indexing of observational studies has changed since then.
AUTHORS' CONCLUSIONS: We found 18 methodological filters across two eligible studies. Search strategies from the first study had higher sensitivity and precision, underwent external validation and targeted observational studies. Search strategies from the second study had lower sensitivity and precision, focused on cNRSs, and were not validated externally. Given this limited and heterogeneous evidence, and its methodological limitations, further research and better indexation are needed.
系统评价对于决策至关重要。对观察性研究的系统评价有助于回答有关病因、风险、预后以及罕见结局或并发症发生率的研究问题。然而,由于文献数据库中索引不佳且不一致,有效识别作为系统评价一部分的观察性研究具有挑战性。包含侧重于观察性研究设计的方法学过滤器的检索策略可能有助于提高检索性能的精确性。
评估带有方法学过滤器的检索策略在MEDLINE和Embase中识别观察性研究的敏感性和精确性。
我们检索了MEDLINE(1946年至2018年4月)、Embase(1974年至2018年4月)、CINAHL(1937年至2018年4月)、Cochrane图书馆(1992年至2018年4月)、谷歌学术以及2018年4月的Open Grey,并浏览了文章的参考文献列表。
采用相对召回率方法的研究,即比较包含方法学过滤器以在MEDLINE和Embase中识别观察性研究的检索策略相对于参考标准的敏感性或精确性,或比较两种或更多种方法学过滤器的研究。
两位综述作者独立筛选文章,提取相关信息,并使用InterTASC信息专家小组(ISSG)检索过滤器评估清单评估检索策略的质量。
我们识别出两项符合条件的研究,报告了18种方法学过滤器。这两项研究中的所有方法学过滤器均使用参考标准记录中的术语开发。第一项研究评估了六种用于检索手术干预观察性研究的过滤器。该研究报告了六种过滤器:一种精确术语过滤器(包含具有较高精确性同时保持最大敏感性的术语)和一种特异性术语过滤器(包含具有较高特异性同时保持最大敏感性的术语),两者均适用于MEDLINE、Embase以及MEDLINE/Embase联合检索。该研究报告了一个参考标准,由来自一项系统评价的217篇文章组成,其中纳入研究中有83.9%为病例系列。第二项研究报告了12种用于检索比较性非随机研究(cNRSs)的过滤器,包括队列研究、病例对照研究和横断面研究。该研究使用四种不同方法报告了12种过滤器:固定方法A(由一组固定的控制词汇(CV)词组成)、固定方法B(由一组固定的CV词和文本词(TW)组成)、渐进方法(CV)(随机选择与研究设计相关的CV术语)以及渐进方法(CV或TW)(随机选择与研究设计相关的CV术语以及基于标题和摘要的TW)。该研究报告了四个参考标准,由来自四项系统评价的89篇cNRSs组成。第一项研究开发的六种方法学过滤器报告的敏感性为99.5%至100%,精确性为16.7%至21.1%。MEDLINE/Embase联合检索的特异性术语过滤器更受青睐,因为它具有更高的精确性且与精确术语过滤器具有相同的敏感性。第二项研究的12种过滤器报告的敏感性较低(48%至100%)且精确性低得多(0.09%至4.47%)。渐进方法(CV或TW)具有最高的敏感性。两项纳入研究均存在方法学局限性。第一项研究使用了一项专注于手术干预的系统评价,因此限制了研究结果的可推广性。第二项研究使用了四项系统评价,但研究数量少于100项。仅对第一项研究的特异性术语过滤器进行了外部验证。两项研究均在10年前发表,自那时以来观察性研究的标签和索引已发生变化。
我们在两项符合条件的研究中发现了18种方法学过滤器。第一项研究的检索策略具有更高的敏感性和精确性,经过了外部验证且针对观察性研究。第二项研究的检索策略具有较低的敏感性和精确性,侧重于cNRSs,且未经过外部验证。鉴于这一有限且异质性的证据及其方法学局限性,需要进一步研究和更好的索引。