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Direct linkMichelle M. Haby; Jorge Otávio Maia Barreto; Jenny Yeon Hee Kim; Sasha Peiris; Cristián Mansilla; Marcela Torres; Diego Emmanuel Guerrero-Magaña; Ludovic Reveiz – Research Synthesis Methods, 2024
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.…
Descriptors: Decision Making, Medical Research, Research Reports, Search Strategies
Metzendorf, Maria-Inti; Featherstone, Robin M. – Research Synthesis Methods, 2021
The Cochrane COVID-19 Study Register (CCSR) is a public, continually updated database of COVID-19 study references. The aim of this study-based register is to support rapid and living evidence synthesis, including an evidence ecosystem of COVID-19 research (CEOsys). In November and December 2020, we conducted an evaluation of the CCSR for CEOsys,…
Descriptors: COVID-19, Pandemics, Databases, Accuracy
Korevaar, Daniël A.; Salameh, Jean-Paul; Vali, Yasaman; Cohen, Jérémie F.; McInnes, Matthew D. F.; Spijker, René; Bossuyt, Patrick M. – Research Synthesis Methods, 2020
Introduction: Many diagnostic accuracy studies are never reported in full in a peer-reviewed journal. Searching for unpublished studies may avoid bias due to selective publication, enrich the power of systematic reviews, and thereby help to reduce research waste. We assessed searching practices among recent systematic reviews of diagnostic…
Descriptors: Clinical Diagnosis, Accuracy, Research Reports, Bibliographic Databases
Stansfield, Claire; O'Mara-Eves, Alison; Thomas, James – Research Synthesis Methods, 2017
Using text mining to aid the development of database search strings for topics described by diverse terminology has potential benefits for systematic reviews; however, methods and tools for accomplishing this are poorly covered in the research methods literature. We briefly review the literature on applications of text mining for search term…
Descriptors: Information Retrieval, Information Technology, Search Strategies, Literature Reviews
Langlois, Alexis; Nie, Jian-Yun; Thomas, James; Hong, Quan Nha; Pluye, Pierre – Research Synthesis Methods, 2018
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…
Descriptors: Mixed Methods Research, Databases, Information Retrieval, Search Strategies
Marshall, Iain J.; Noel-Storr, Anna; Kuiper, Joël; Thomas, James; Wallace, Byron C. – Research Synthesis Methods, 2018
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…
Descriptors: Randomized Controlled Trials, Accuracy, Computer Software, Classification
