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Objective: It is frequent to find overlapping network meta-analyses (NMAs) on the same topic with differences in terms of both treatments included and effect estimates. We aimed to evaluate the impact on effect estimates of selecting different treatment combinations (ie, network geometries) for inclusion in NMAs.
Design: Multiverse analysis, covering all possible NMAs on different combinations of treatments.
Setting: Data from a previously published NMA exploring the comparative effectiveness of 22 treatments (21 antidepressants and a placebo) for the treatment of acute major depressive disorder.
Participants: Cipriani explored a dataset of 116 477 patients included in 522 randomised controlled trials.
Main Outcome Measures: For each possible treatment selection, we performed an NMA to estimate comparative effectiveness on treatment response and treatment discontinuation for the treatments included (231 between-treatment comparisons). The distribution of effect estimates of between-treatment comparisons across NMAs was computed, and the direction, magnitude and statistical significance of the 1st and 99th percentiles were compared.
Results: 4 116 254 different NMAs concerned treatment response. Among possible network geometries, 172/231 (74%) pairwise comparisons exhibited opposite effects between the 1st and 99th percentiles, 57/231 (25%) comparisons exhibited statistically significant results in opposite directions, 118 of 231 (51%) comparisons derived results that were both significant and non-significant at 5% risk and 56/231 (24%) treatment pairs obtained consistent results with only significant differences (or only non-significant differences) at 5% risk. Comparisons based on indirect evidence only were associated with greater variability in effect estimates. Comparisons with small absolute values observed in the complete NMA more frequently obtained statistically significant results in opposite directions. Similar results were observed for treatment discontinuation.
Conclusion: In this multiverse analysis, we observed that the selection of treatments to be included in an NMA could have considerable consequences on treatment effect estimations.
Trial Registration: https://osf.io/mb5dy.
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http://dx.doi.org/10.1136/bmjebm-2024-112848 | DOI Listing |
BMC Psychol
September 2025
Department of Sport and Leisure Studies, Namseoul University, Cheonan, 31020, Korea.
Background: To investigate the relationship between occupational stress and burnout among primary and secondary school physical education (PE) teachers and its underlying mechanisms.
Method: Study 1 utilized a large cross-sectional sample of 4,397 teachers and employed multiverse-style analysis to examine the robustness of the relationship between occupational stress and burnout. Study 2 applied a 21-day diary method to a sample of 324 teachers to explore the intrinsic mechanisms through which occupational stress affects burnout.
Sci Rep
August 2025
Wuhan University of Technology, Changtai Garden, Jiangxia District, Wuhan City, Hubei Province, 430200, China.
In most construction projects, concrete is a widely used material in different structural elements due to its suitable mechanical behavior. Therefore, it is crucial to achieve a dependable estimation of the concrete mechanical parameters such as tensile strength. In this research, a well-known machine learning model-multi-layer perceptron neural network (MLPNN)-is optimized by multi-tracker optimization algorithm (MTOA) to avoid computational insufficiencies.
View Article and Find Full Text PDFBiol Psychol
August 2025
Department of Psychology, University of Oslo, Oslo, Norway; K.G. Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway; NevSom, Department of Rare Disorders & Disabilities, Oslo University Hospital, Oslo, Norway. Electronic address:
Oxytocin administration is a valuable approach for experimentally increasing central oxytocin levels to investigate its impact on brain function and behavior. Despite considerable research interest, results have shown considerable variability across studies. Several meta-analyses have been conducted to help address this inconsistency.
View Article and Find Full Text PDFImaging Neurosci (Camb)
March 2025
Inria, Univ Rennes, CNRS, Inserm, IRISA UMR 6074, Empenn ERL U 1228, Rennes, France.
Researchers using task-functional magnetic resonance imaging (fMRI) data have access to a wide range of analysis tools to model brain activity. If not accounted for properly, this plethora of analytical approaches can lead to an inflated rate of false positives and contribute to the irreproducibility of neuroimaging findings. Multiverse analyses are a way to systematically explore pipeline variations on a given dataset.
View Article and Find Full Text PDFImaging Neurosci (Camb)
April 2025
Neurobiology Research Unit, Rigshospitalet Blegdamsvej, Copenhagen, Denmark.
Being able to aggregate results from many acceptable data analysis pipelines (multiverse analyses) is a desirable feature in almost all aspects of imaging neuroscience. This is because multiple noise sources may contaminate the acquired imaging data, and different pipelines will attenuate or remove those noise source effects differentially. Here, we used multiple preprocessing pipelines that are known to impact the final results and conclusions of Positron Emission Tomography (PET) neuroimaging studies significantly.
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