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A Search of Only Four Key Databases Would Identify Most Randomized Controlled Trials of Acupuncture: A Meta-Epidemiological Study
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Guo, Qiong; Cheng, Yifan; Zhang, Chenyang; Yang, Huifang; Chen, Xia; Wang, Xinyi; Yang, Liu; Feng, Kun; Long, Youlin; Shao, Zilun; Wang, Yutian; Lin, Yifei; Liao, Ga; Huang, Jin; Du, Liang – Research Synthesis Methods, 2022
Little research has been conducted to assess which specific databases should be searched when performing a systematic review (SR) on acupuncture. The current study aimed to identify key databases and the optimal database combination to retrieve randomized controlled trials (RCTs) on acupuncture for inclusion in SRs. A systematic search for SRs in…
Descriptors: Databases, Randomized Controlled Trials, Medical Services, Literature Reviews
From Registration to Publication: A Study on Dutch Academic Randomized Controlled Trials
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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
Combining Meta-Epidemiological Study Datasets on Commercial Funding of Randomised Clinical Trials: Database, Methods, and Descriptive Results of the COMFIT Study
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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
Comparison of Information Sources Used in Cochrane and Non-Cochrane Systematic Reviews: A Case Study in the Field of Anesthesiology and Pain
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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
Construct Validity of the Physiotherapy Evidence Database (PEDro) Quality Scale for Randomized Trials: Item Response Theory and Factor Analyses
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Albanese, Emiliano; Bütikofer, Lukas; Armijo-Olivo, Susan; Ha, Christine; Egger, Matthias – Research Synthesis Methods, 2020
Background: There is an agreement that the methodological quality of randomized trials should be assessed in systematic reviews, but there is a debate on how this should be done. We conducted a construct validation study of the Physiotherapy Evidence Database (PEDro) scale, which is widely used to assess the quality of trials in physical therapy…
Descriptors: Construct Validity, Physical Therapy, Item Response Theory, Factor Analysis
Machine Learning for Identifying Randomized Controlled Trials: An Evaluation and Practitioner's Guide
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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
Searches for Randomized Controlled Trials of Drugs in MEDLINE and EMBASE Using Only Generic Drug Names Compared with Searches Applied in Current Practice in Systematic Reviews
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Waffenschmidt, Siw; Guddat, Charlotte – Research Synthesis Methods, 2015
Background: It is unclear which terms should be included in bibliographic searches for randomized controlled trials (RCTs) of drugs, and identifying relevant drug terms can be extremely laborious. The aim of our analysis was to determine whether a bibliographic search using only the generic drug name produces sufficient results for the generation…
Descriptors: Control Groups, Drug Therapy, Outcomes of Treatment, Databases