News

ADDIS 2 release 9

29 Jun 2016 — Daan Reid

We are proud to announce the ninth preview version of our web-based redevelopment of ADDIS, ADDIS 2 release 9. This release contains the following new features:

  • Definition of complex interventions (demo video)
  • Allow import of studies directly from clinicaltrials.gov (demo video)
  • Report view of project, and allow editing of mistakes with titles (demo video)

The focus of the next release will be divided between three subjects:

  • Sensitivity analysis
  • Assessing bias
  • Direct comparisons between models

We also plan to address several usability and stability issues.


ADDIS 2 release 8

23 Mar 2016 — Daan Reid

We are proud to announce the eighth preview version of our web-based redevelopment of ADDIS, ADDIS 2 release 8. This release contains the following new features:

  • Integrate data management (formerly “trialverse”) into the main ADDIS system (demo video)
  • Network meta-regression analyses (demo video)
  • Downweighting of studies, e.g. non-randomized studies (demo video)
  • Benefit-risk analyses based on meta-analyses (demo video)

The focus of the next release will be divided between three subjects:

  • Definition of concepts such as interventions, e.g. dosage restrictions and combination treatments
  • Importing studies from ClinicalTrials.gov
  • Automatic report generation based on ADDIS projects

GeMTC R package 0.8

01 Mar 2016 — Gert van Valkenhoef

We are proud to announce version 0.8 of our R package for network meta-analysis, GeMTC.

This new version adds support for network meta-regression models and models where some evidence (e.g. observation data) is down-weighted. See GeMTC on CRAN for more information.


ADDIS 2 release 7

27 Nov 2015 — Daan Reid

We are proud to announce the seventh preview version of our web-based redevelopment of ADDIS, ADDIS 2 release 7. This release had several themes. First, we performed user testing for both GeMTC-web and Trialverse. Second, we expanded the network meta-analysis functionality of ADDIS, which is also available as a separate web-application at GeMTC-web. Third, we expanded the study management functionality of Trialverse with search and copying. Fourth, we addressed the most common concerns of our test users.

Release 7 contains the following new features:

  • GeMTC:
    • Inline help for all terminology, along with a brief user’s manual.
    • Allow model run length extension.
    • Allow specification of heterogeneity prior.
    • An overview screen for nodesplitting analysis of inconsistency.
    • Several improvements to the user interface based on user feedback.
  • Trialverse:
    • Study search.
    • Allow copying of others’ studies to own datasets.

The functionality developed in release 7 is showcased in these videos:

The focus of the next release will be divided between three subjects:

  • Further improvements to the evidence synthesis functionality, including the addition of network meta-regression models.
  • Improving the integration between the ADDIS and Trialverse components.
  • Further user testing of the evidence synthesis functionality.

ADDIS 2 release 6

21 Aug 2015 — Daan Reid

We are proud to announce the sixth preview version of our web-based redevelopment of ADDIS, ADDIS 2 release 6. The majority of this release was devoted to expanding the network meta-analysis functionality of ADDIS. We have also made this functionality available as a separate web-application at gemtc.drugis.org. Release 6 contains the following new features:

  • Support 3 types of meta-analysis (network, pairwise, node-splitting).
  • Allow setting of model parameters (fixed effect vs. random effects, likelihood/link function, run-length parameters).
  • More model results (convergence diagnostics, relative effects plots for network meta-analyses, study effect forest plot for pairwise meta-analyses).

The functionality developed in release 6 is showcased in this video.

The focus of the next release will be divided between three subjects:

  • Expanding Trialverse with features to include others’ extractions, and laying groundwork for automating tasks.
  • Further expanding the NMA functionality, allowing inter-model comparisons, the specification of prior distributions, and the exporting of figures and data so they can be used in reports.
  • User testing to improve the usability and stability of the platform.