Network meta-analysis, in the context of a systematic review, is a meta-analysis in which multiple treatments (that is, three or more) are being compared using both direct comparisons of interventions within randomized controlled trials and indirect comparisons across trials based on a common comparator. To ensure validity of findings from network meta-analyses, the systematic review must be designed rigorously and conducted carefully. Aspects of designing and conducting a systematic review for network meta-analysis include defining the review question, specifying eligibility criteria, searching for and selecting studies, assessing risk of bias and quality of evidence, conducting a network meta-analysis, interpreting and reporting findings. This commentary summarizes the methodologic challenges and research opportunities for network meta-analysis relevant to each aspect of the systematic review process based on discussions at a network meta-analysis methodology meeting we hosted in May 2010 at the Johns Hopkins Bloomberg School of Public Health. Since this commentary reflects the discussion at that meeting, it is not intended to provide an overview of the field.
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http://dx.doi.org/10.1186/1741-7015-9-79 | DOI Listing |
Neurol Ther
January 2025
Neurology Department of the First Clinical Medical College, Shandong University of Traditional Chinese Medicine, No. 4655, Daxue Road, Changqing District, Jinan City, 250355, China.
Heliyon
January 2025
Department of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
The 3p21.31 locus is the most robust genomic region associated with COVID-19 severity. This locus contains a main chemokine receptor (CKR) cluster.
View Article and Find Full Text PDFWorld Psychiatry
February 2025
Institute of Psychology, University of Münster, Münster, Germany.
Commun Biol
January 2025
Department of Psychology, Pennsylvania State University, University Park, Pennsylvania, USA.
Creativity is hypothesized to arise from a mental state which balances spontaneous thought and cognitive control, corresponding to functional connectivity between the brain's Default Mode (DMN) and Executive Control (ECN) Networks. Here, we conduct a large-scale, multi-center examination of this hypothesis. Employing a meta-analytic network neuroscience approach, we analyze resting-state fMRI and creative task performance across 10 independent samples from Austria, Canada, China, Japan, and the United States (N = 2433)-constituting the largest and most ethnically diverse creativity neuroscience study to date.
View Article and Find Full Text PDFSci Rep
January 2025
Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, 8000, Denmark.
Low fertility in cows leads to early removal from herds. Since reproductive traits are complex and have low heritability, genetic analysis can aid in improving reproduction. This study identified key genes linked to fertility by conducting genome- and transcriptome-wide association studies, RNA-seq analysis, meta-analysis, weighted gene co-expression network analysis, and functional enrichment analysis.
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