  Screening or assessing studies is critical to the quality and outcomes of a
systematic review. Typically, a Boolean query retrieves the set of studies to
screen. As the set of studies retrieved is unordered, screening all retrieved
studies is usually required for high-quality systematic reviews. Screening
prioritisation, or in other words, ranking the set of studies, enables
downstream activities of a systematic review to begin in parallel. We
investigate a method that exploits seed studies -- potentially relevant studies
used to seed the query formulation process -- for screening prioritisation. Our
investigation aims to reproduce this method to determine if it is generalisable
on recently published datasets and determine the impact of using multiple seed
studies on effectiveness.We show that while we could reproduce the original
methods, we could not replicate their results exactly. However, we believe this
is due to minor differences in document pre-processing, not deficiencies with
the original methodology. Our results also indicate that our reproduced
screening prioritisation method, (1) is generalisable across datasets of
similar and different topicality compared to the original implementation, (2)
that when using multiple seed studies, the effectiveness of the method
increases using our techniques to enable this, (3) and that the use of multiple
seed studies produces more stable rankings compared to single seed studies.
Finally, we make our implementation and results publicly available at the
following URL: https://github.com/ielab/sdr
