Quality indicators and early adverse in surgery for atypical meningiomas: A 16-year single centre study and systematic review of the literature.

Introduction: Atypical meningiomas represent approximately 20% of all intracranial meningiomas and are characterized by distinct histopathological criteria and an increased risk of postoperative recurrence. Recently, quality indicators have been introduced to monitor quality of the delivered care.

Research Question: Which quality indicators/outcome measures are being applied in patients being operated for atypical meningiomas? What are risk factors associated with poor outcome? How is the surgical outcome and which quality indicators are reported in the literature?

Material And Methods: The primary outcomes of interest were 30-days readmission-, 30-day reoperation-, 30-day mortality-, 30-day nosocomial infection- and the 30-day surgical site infection (SSI) rate, CSF-leakage, new neurological deficit, medical complications, and lengths of stay.

Norwegian e-Infrastructure for Life Sciences (NeLS).

The Norwegian e-Infrastructure for Life Sciences (NeLS) has been developed by ELIXIR Norway to provide its users with a system enabling data storage, sharing, and analysis in a project-oriented fashion. The system is available through easy-to-use web interfaces, including the Galaxy workbench for data analysis and workflow execution. Users confident with a command-line interface and programming may also access it through Secure Shell (SSH) and application programming interfaces (APIs).

META-pipe Authorization service.

We describe the design, implementation, and use of the META-pipe Authorization service. META-pipe is a complete workflow for the analysis of marine metagenomics data. We will provide META-pipe as a web based data analysis service for ELIXIR users.

META-pipe cloud setup and execution.

META-pipe is a complete service for the analysis of marine metagenomic data. It provides assembly of high-throughput sequence data, functional annotation of predicted genes, and taxonomic profiling. The functional annotation is computationally demanding and is therefore currently run on a high-performance computing cluster in Norway.

The MAR databases: development and implementation of databases specific for marine metagenomics.

We introduce the marine databases; MarRef, MarDB and MarCat (https://mmp.sfb.uit.