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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
Weibel, Stephanie; Popp, Maria; Reis, Stefanie; Skoetz, Nicole; Garner, Paul; Sydenham, Emma – Research Synthesis Methods, 2023
Evidence synthesis findings depend on the assumption that the included studies follow good clinical practice and results are not fabricated or false. Studies which are problematic due to scientific misconduct, poor research practice, or honest error may distort evidence synthesis findings. Authors of evidence synthesis need transparent mechanisms…
Descriptors: Identification, Randomized Controlled Trials, Integrity, Evaluation Methods
Nejstgaard, Camilla Hansen; Laursen, David Ruben Teindl; Lundh, Andreas; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2023
We investigated to which degree commercial funding is associated with estimated intervention effects in randomized trials. We included meta-epidemiological studies with published data on the association between commercial funding and results or conclusions of randomized trials. We searched five databases and other sources. We selected one result…
Descriptors: Private Financial Support, Intervention, Randomized Controlled Trials, Literature Reviews
Kim, Mi-Ok; Wang, Xia; Liu, Chunyan; Dorris, Kathleen; Fouladi, Maryam; Song, Seongho – Research Synthesis Methods, 2017
Phase I trials aim to establish appropriate clinical and statistical parameters to guide future clinical trials. With individual trials typically underpowered, systematic reviews and meta-analysis are desired to assess the totality of evidence. A high percentage of zero or missing outcomes often complicate such efforts. We use a systematic review…
Descriptors: Meta Analysis, Synthesis, Literature Reviews, Pediatrics
Debray, Thomas P. A.; Moons, Karel G. M.; van Valkenhoef, Gert; Efthimiou, Orestis; Hummel, Noemi; Groenwold, Rolf H. H.; Reitsma, Johannes B. – Research Synthesis Methods, 2015
Individual participant data (IPD) meta-analysis is an increasingly used approach for synthesizing and investigating treatment effect estimates. Over the past few years, numerous methods for conducting an IPD meta-analysis (IPD-MA) have been proposed, often making different assumptions and modeling choices while addressing a similar research…
Descriptors: Meta Analysis, Outcomes of Treatment, Research Methodology, Literature Reviews
Schünemann, Holger J.; Tugwell, Peter; Reeves, Barnaby C.; Akl, Elie A.; Santesso, Nancy; Spencer, Frederick A.; Shea, Beverley; Wells, George; Helfand, Mark – Research Synthesis Methods, 2013
The terms applicability, generalizability, external validity and transferability are related, sometimes used interchangeably and have in common that they lack a clear and consistent definition in the classic epidemiological literature. However, all of these terms generally describe one overarching theme: whether or not available research evidence…
Descriptors: Intervention, Randomized Controlled Trials, Literature Reviews, Comparative Analysis
Verde, Pablo E.; Ohmann, Christian – Research Synthesis Methods, 2015
Researchers may have multiple motivations for combining disparate pieces of evidence in a meta-analysis, such as generalizing experimental results or increasing the power to detect an effect that a single study is not able to detect. However, while in meta-analysis, the main question may be simple, the structure of evidence available to answer it…
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Comparative Analysis, Evidence