Development of an efficient search filter to retrieve systematic reviews from PubMed.

OBJECTIVE: Locating systematic reviews is essential for clinicians and researchers when creating or updating reviews and for decision-making in health care. This study aimed to develop a search filter for retrieving systematic reviews that improves upon the performance of the PubMed systematic review search filter. METHODS: Search terms were identified from abstracts of reviews published in Cochrane Database of Systematic Reviews and the titles of articles indexed as systematic reviews in PubMed. Both the precision of the candidate terms and the number of systematic reviews retrieved from PubMed were evaluated after excluding the subset of articles retrieved by the PubMed systematic review filter. Terms that achieved a precision greater than 70% and relevant publication types indexed with MeSH terms were included in the filter search strategy. RESULTS: The search strategy used in our filter added specific terms not included in PubMed's systematic review filter and achieved a 61.3% increase in the number of retrieved articles that are potential systematic reviews. Moreover, it achieved an average precision that is likely greater than 80%. CONCLUSIONS: The developed search filter will enable users to identify more systematic reviews from PubMed than the PubMed systematic review filter with high precision.

Is the new ASDAS nomenclature in agreement with therapeutic decision making in patients with axial spondyloarthritis?

OBJECTIVES: To evaluate the association between low disease activity according to the new ASDAS nomenclature and the physician therapeutic decisions in patients with axial spondyloarthritis (axSpA). MATERIAL AND METHODS: Longitudinal retrospective study including patients diagnosed with axSpA receiving a tumor necrosis factor-inhibitor between January 2014 and June 2019 as a first treatment. For each visit, disease activity was determined afterwards according to the new ASDAS nomenclature (inactive, low, high and very high activity), and the physician's therapeutic decision was recorded. The association between disease activity and the physician's decision was evaluated through descriptive statistics. RESULTS: A total of 304 visits of 104 patients with axSpA were analyzed. For those visits where a low activity ASDAS score was obtained, the physician's therapeutic decision was no escalation of treatment in 98.2% of cases. However, for those visits with a high or very high disease activity ASDAS score, the physician's therapeutic decision was to escalate treatment in 33.7% and 82.8% of cases respectively. CONCLUSIONS: The state measured by the ASDAS index formerly defined as 'moderated disease activity' is considered in clinical practice as 'low disease activity' because of the physician's choice in these situations to not-escalate the treatment. Our data substantiate the recent updating in ASDAS nomenclature.

Errors in search strategies used in systematic reviews and their effects on information retrieval.

OBJECTIVES: Errors in search strategies negatively affect the quality and validity of systematic reviews. The primary objective of this study was to evaluate searches performed in MEDLINE/PubMed to identify errors and determine their effects on information retrieval. METHODS: A PubMed search was conducted using the systematic review filter to identify articles that were published in January of 2018. Systematic reviews or meta-analyses were selected from a systematic search for literature containing reproducible and explicit search strategies in MEDLINE/PubMed. Data were extracted from these studies related to ten types of errors and to the terms and phrases search modes. RESULTS: The study included 137 systematic reviews in which the number of search strategies containing some type of error was very high (92.7%). Errors that affected recall were the most frequent (78.1%), and the most common search errors involved missing terms in both natural language and controlled language and those related to Medical Subject Headings (MeSH) search terms and the non-retrieval of their more specific terms. CONCLUSIONS: To improve the quality of searches and avoid errors, it is essential to plan the search strategy carefully, which includes consulting the MeSH database to identify the concepts and choose all appropriate terms, both descriptors and synonyms, and combining search techniques in the free-text and controlled-language fields, truncating the terms appropriately to retrieve all their variants.