This same literature revision criterion, searching for experimental evidence, was used to retrieve cross-reactive epitopes.
We present a novel meta-level heuristic algorithm for multi-criteria search.
The hill-climbing search method has been improved with modifications with respect to the step-size selection, termination criteria, search window, etc. [11, 15].
Our search process consists of the following six steps5: definition of the inclusion criteria, search in electronic databases for published literature, search for gray literature, backward search, search in authors' publication lists, and forward search.
The reason for this disparity is partly due to differences in eligibility criteria, search strategies and search terms.
Study end points, eligibility criteria, search methods and main analyses were defined in a protocol.
A review protocol was developed detailing explicit inclusion and exclusion criteria, search terms, data extraction items and quality appraisal procedures.
The study used systematic, rigorous and transparent approaches to define eligibility criteria, search for eligible studies, select studies and abstract data.
As shown in Figure 3, a hierarchical classification of optimality criteria, search algorithms and uncertainty assessment concepts is implemented in PhylOnt.
A protocol for the first version, including eligibility criteria, search strategy and methods of analysis, was developed in advance and made available in PROSPERO [ 24].
