Rapid review methodology aims to facilitate faster conduct of systematic reviews to meet the needs of the decision-maker, while also maintaining quality and credibility. This systematic review aimed to determine the impact of different methodological shortcuts for undertaking rapid reviews on the risk of bias (RoB) of the results of the review.…

Background: Qualitative research in dementia improves understanding of the experience of people affected by dementia. Searching databases for qualitative studies is problematic. Qualitative-specific search strategies might help with locating studies. Objective: To examine the effectiveness (sensitivity and precision) of 5 qualitative strategies on…

Introduction: The number of systematic reviews of health economic evaluations (SR-HEs) is increasing. We aimed at providing a detailed overview of the characteristics and applied methods in recently published SR-HEs. Methods: We searched MEDLINE (03/2017) for SR-HEs published since 2015 using validated search filters. We included studies that…

Introduction: Registration and publication of trial protocols has become increasingly important and a requirement in some sources of funding and publication. Increased access to protocols yields many potential benefits, but there are issues regarding identification of published protocols. The aim of this investigation is to compare methods of…

Authors and indexers are increasingly including terms for adverse "drug" effects in the titles, abstracts, or indexing of records in MEDLINE and Embase. However, it is not clear if this is the same for studies with "nondrug" adverse effects data. We therefore assessed the feasibility of using adverse effects terms when…

Objective: Identify the most performant automated text classification method (eg, algorithm) for differentiating empirical studies from nonempirical works in order to facilitate systematic mixed studies reviews. Methods: The algorithms were trained and validated with 8050 database records, which had previously been manually categorized as…

Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…

When the Medical Library Association identified questions critical for the future of the profession, it assigned groups to use systematic reviews to find the answers to these questions. Group 6, whose question was on emerging technologies, recognized early on that the systematic review process would not work well for this question, which looks…

Discussion of information retrieval and the derivation of new knowledge from bibliographic databases focuses on medical journal literature. Topics discussed include the incomplete coverage of medical literature on databases; searching by free text or title words versus searching by assigned subject headings; and the implications of these factors…

Discusses how new knowledge may be generated by information retrieval techniques on bibliographic databases. Examples from medical research are used to illustrate the possibility of making discoveries by synthesizing the literature; hidden correlations between factors are discussed; and the creative use of information retrieval systems is…

Describes a study funded by the Commission of the European Community that applied document retrieval algorithms to the "Excerpta Medica" database using the EMTREE thesaurus. Nonhierarchical relations were added to enrich the thesaurus, and document ranking is discussed in terms of the conceptual distance between the documents and the…

A computer-based information storage and retrieval system was designed and implemented for processing Navy neuropsychiatric case history reports. The system design objectives were to produce a dynamic and flexible medical information processing tool. The system that was designed has been given the name NAVY MEDical Information STorage and…

Assesses the impact of current coverage and indexing policies on MEDLINE's retrieval performance in the medical behavioral sciences literature by comparing retrievals in EXCERPTA MEDICA, PSYCHINFO, SCISEARCH, and SOCIAL SCISEARCH. Searches were made with descriptors, cited references, and natural language, and recall, precision, and novelty ratios…

Explores to what extent the germ theory, when it was still a relatively new idea, is evident in the bibliographic records in the "Index-Catalogue of the Library of the Surgeon-General's Office of the United States Army" (Index Cat), the largest medical bibliographical tool ever published. Data suggest that scientists are quick to apply the new…