Systematic reviews and meta-analyses

We collect, standardize, and interpret results from different research studies so they can be used as a reliable basis for decision-making. We use systematic literature reviews, structured evidence tables, and meta-analyses to aggregate effect sizes. This makes it possible to compare results across studies, time, and locations.

 

Our work focuses on areas where integrated knowledge has the greatest impact—such as evaluating the effectiveness of treatments and interventions, understanding the role of environmental and husbandry factors, and identifying key risk factors that affect biological performance.

 

By applying standardized coding systems and structured frameworks, we strengthen traceability and comparability across diverse data sources. This approach not only synthesizes existing knowledge but also highlights critical knowledge gaps that can guide future research and data collection.

Example of work:

  • Vollset, K.W., Krontveit, R.I., Jansen, P.A., Finstad, B., Barlaup, B.T., Skilbrei, O.T., Krkošek, M., Romunstad, P., Aunsmo, A., Jensen, A.J. and Dohoo, I. (2016). Impacts of parasites on marine survival of Atlantic salmon: A meta-analysis. Fish and Fisheries, 17(3), 714–730.
Source: Generic forest plot – James Grellier (Wikimedia Commons).

Example of a forest plot used in meta-analysis, showing effect sizes and confidence intervals: