Submission of scientific peer-reviewed open literature for the approval of pesticide active substances under Regulation (EC) No 1107/2009 : Submission of scientific peer-reviewed open literature under Regulation (EC) No 1107/2009

Complex and highly sensitive electronic literature search strategies are required for systematic reviews; however, no guidelines exist for their peer review. Poor searches may fail to identify existing evidence because of inadequate recall (sensitivity) or increase the resource requirements of reviews as a result of inadequate precision. Our objective was to create an annotated checklist for electronic search strategy peer review. A systematic review of the library and information retrieval literature for important elements in electronic search strategies was conducted, along with a survey of individuals experienced in systematic review searching. Six elements with a strong consensus as to their importance in peer review were accurate translation of the research question into search concepts, correct choice of Boolean operators and of line numbers, adequate translation of the search strategy for each database, inclusion of relevant subject headings, and absence of spelling errors. Seven additional elements had partial support and are included in this guideline. This evidence-based guideline facilitates the improvement of search quality through peer review, and thus the improvement in quality of systematic reviews. It is relevant for librarians/information specialists, journal editors, developers of knowledge translation tools, research organizations, and funding bodies.

Evaluation of the reliability of toxicological data is of key importance for regulatory decision-making. In particular, the new EU Regulations concerning the registration, evaluation, authorisation and restriction of chemicals (REACH) and classification, labelling and packaging (CLP) according to the new globally harmonised system (GHS) rely on the integration of all available toxicological information. The so-called Klimisch categories, although well established and widely used, lack detailed criteria for assigning data quality to categories. A software-based tool (ToxRTool) was developed within the context of a project funded by the European Commission to provide comprehensive criteria and guidance for reliability evaluations of toxicological data. It is applicable to various types of experimental data, endpoints and studies (study reports, peer-reviewed publications) and leads to the assignment to Klimisch categories 1, 2 or 3. The tool aims to increase transparency and to harmonise approaches of reliability assessment. The tool consists of two parts, one to evaluate in vivo and one to evaluate in vitro data. The prototypes of the tool were tested in two independent inter-rater experiments. This approach allowed the analysis of the performance of the tool in practice and the identification and minimisation of sources of heterogeneity in evaluation results. The final version, ToxRTool, is publicly available for testing and use.