NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 10 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Shifeng; Bourgeois, Florence T.; Dunn, Adam G. – Research Synthesis Methods, 2022
A substantial proportion of trial registrations are not linked to corresponding published articles, limiting analyses and new tools. Our aim was to develop a method for finding articles reporting the results of trials that are registered on ClinicalTrials.gov when they do not include metadata links. We used a set of 27,280 trial registration and…
Descriptors: Medical Research, Web Sites, Identification, Computational Linguistics
Peer reviewed Peer reviewed
Direct linkDirect link
Huiskens, Joost; Kool, Boudewijn R. J.; Bakker, Jean-Michel; Bruns, Emma R. J.; de Jonge, Stijn W.; Olthof, Pim B.; van Rosmalen, Belle V.; van Gulik, Thomas M.; Hooft, Lotty; Punt, Cornelis J. A. – Research Synthesis Methods, 2020
Introduction: Registration of clinical trials has been initiated in order to assess adherence of the reported results to the original trial protocol. This study aimed to investigate the publication rates, timely dissemination of results, and the prevalence of consistency in hypothesis, sample size, and primary endpoint of Dutch…
Descriptors: Randomized Controlled Trials, Databases, Foreign Countries, Medical Research
Peer reviewed Peer reviewed
Direct linkDirect link
Nejstgaard, Camilla Hansen; Lundh, Andreas; Abdi, Suhayb; Clayton, Gemma; Gelle, Mustafe Hassan Adan; Laursen, David Ruben Teindl; Olorisade, Babatunde Kazeem; Savovic, Jelena; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2022
Randomised trials are often funded by commercial companies and methodological studies support a widely held suspicion that commercial funding may influence trial results and conclusions. However, these studies often have a risk of confounding and reporting bias. The risk of confounding is markedly reduced in meta-epidemiological studies that…
Descriptors: Medical Research, Randomized Controlled Trials, Corporations, Financial Support
Peer reviewed Peer reviewed
Direct linkDirect link
Wanner, Amanda; Baumann, Niki – Research Synthesis Methods, 2019
Background: Both PubMed and Ovid MEDLINE contain records from the MEDLINE database. However, there are subtle differences in content, functionality, and search syntax between the two. There are many instances in which researchers may wish to search both interfaces, such as when conducting supplementary searching for a systematic review to retrieve…
Descriptors: Search Strategies, Databases, Medical Research, Medical Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Sutton, Anthea; Galvan De La Cruz, Maria Carmen; Leaviss, Joanna; Booth, Andrew – Research Synthesis Methods, 2018
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…
Descriptors: Comparative Analysis, Medical Research, Research Methodology, Outcomes of Treatment
Peer reviewed Peer reviewed
Direct linkDirect link
Biocic, Marina; Fidahic, Mahir; Cikes, Karla; Puljak, Livia – Research Synthesis Methods, 2019
Background: It has been reported that information sources searched in systematic reviews (SRs) are insufficiently comprehensive. We analyzed information sources used in SRs, as well as how up-to-date were the searches. Methods: We searched PubMed and the Cochrane Database of Systematic Reviews (CDSR) through Wiley from 2012 to 2016 to find SRs of…
Descriptors: Pain, Case Studies, Anesthesiology, Databases
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Mawdsley, David; Higgins, Julian P. T.; Sutton, Alex J.; Abrams, Keith R. – Research Synthesis Methods, 2017
In meta-analysis, the random-effects model is often used to account for heterogeneity. The model assumes that heterogeneity has an additive effect on the variance of effect sizes. An alternative model, which assumes multiplicative heterogeneity, has been little used in the medical statistics community, but is widely used by particle physicists. In…
Descriptors: Databases, Meta Analysis, Goodness of Fit, Effect Size
Peer reviewed Peer reviewed
Direct linkDirect link
Anderson, Patricia F.; Shannon, Carol; Bickett, Skye; Doucette, Joanne; Herring, Pamela; Kepsel, Andrea; Lyons, Tierney; McLachlan, Scott; Wu, Lin – Research Synthesis Methods, 2018
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…
Descriptors: Case Studies, Comparative Analysis, Medical Research, Medical Libraries
Peer reviewed Peer reviewed
McCain, Katherine W.; And Others – Information Processing and Management, 1987
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…
Descriptors: Behavioral Sciences, Citations (References), Comparative Analysis, Databases