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. 2025 Jan 22;30(1):61-65.
doi: 10.1136/bmjebm-2023-112747.

What is the vibration of effects?

Constant Vinatier  1 , Sabine Hoffmann  2   3 , Chirag Patel  4 , Nicholas J DeVito  5 , Ioana Alina Cristea  6 , Braden Tierney  7 , John P A Ioannidis  8 , Florian Naudet  9   10
Affiliations

What is the vibration of effects?

Constant Vinatier et al. BMJ Evid Based Med. .
No abstract available

Keywords: Evidence-Based Practice; Methods.

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Conflict of interest statement

Competing interests: CV is a PhD student in the OSIRIS (Open Science to Increase Reproducibility in Science) project. The OSIRIS project has received funding from the European Union’s Horizon Europe research and innovation programme under the grant agreement number 101094725. SH has received funding from the European Union’s Horizon Europe programme, the German Federal Ministry for the Environment, Nature Conservation, Nuclear Safety and Consumer Protection (BMUV) and the LMUExcellent. CP received funding from NIH (NIEHS R01ES0324702 and NIA RF1AG074372). NJD has received funding from the European Union’s Horizon Europe programme, also via the OSIRIS project, the Naji Foundation, the German Federal Ministry of Education and Research (BMBF) and the Fetzer Franklin Memorial Fund, and has been employed on grants from the Mohn-Westlake Foundation, Laura and John Arnold Foundation, Elsevier and the Good Thinking Society in the last 5 years. BT is compensated for consulting with Seed Health and Enzymetrics Biosciences on microbiome study design. FN received funding from the French National Research Agency (ANR-17-CE36-0010), the French Ministry of Health and the French Ministry of Research. He is a work package leader in the OSIRIS project. He is a work package leader for the doctoral network MSCA-DN SHARE-CTD (HORIZON-MSCA-2022-DN-01 101120360), funded by the EU. The work of JPAI has been supported by an unrestricted gift from Sue and Bob O’Donnell to Stanford University.

Figures

Figure 1
Figure 1. Vibration of effects of beta coefficient in the exploration of the association between lisinopril usage and systolic blood pressure. An estimate <0 suggests lower systolic blood pressure with lisinopril. This figure was produced using data from Tierney et al by fitting 9595 random select models, among all possible models, exploring the association and using 253 covariates, with a maximum number of variables in the model set to 20. Data and code to reproduce the figure are available on the Open Science Framework at https://osf.io/xfy75/. (A) Dots represent the 6242 convergent regression models among the 9595 randomly selected models. Colours represent densities (red=high, blue=low), with marginal density plot of distributions. (B) Point estimates and 95% CIs for all models. Colours represent densities (red=high, blue=low).
Figure 2
Figure 2. Vibration of effects for the comparison of escitalopram versus citalopram in the treatment of major depressive disorder. Data and code to reproduce the figure are respectively available on the Open Science Framework at https://osf.io/xfy75/. (A) An OR<1 is in favour of escitalopram. In the graphs on the right, dots represent meta-analyses and colours represent densities (red=high; blue=low), with marginal density plot of distributions. Full methods are detailed at https://doi.org/10.17605/OSF.IO/MB5DY. (B) Example of a network of 12 treatments (in blue) that failed to identify a difference, OR=0.98 (0.84; 1.15) (p=0.823). Treatments in grey are treatment of the full meta-analysis not included in the network. Size of the points represents the number of patients included. (C) Example of a network of 12 treatments (in blue) that identified a difference, OR=0.74 (0.61; 0.89) (p=0.001). Treatments in grey are treatment of the full meta-analysis not included in the network. Size of the points represents the number of patients included.
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