Guyatt G. Evidence-based medicine. A new approach to teaching the practice of medicine. JAMA. 1992;268:2420–5.
Article
Google Scholar
(EU) IR. Commission Implementing Regulation (EU) No. 503/2013 on applications for authorisation of genetically modified food and feed in accordance with Regulation (EC) No. 1829/2003 of the European Parliament and of the Council and amending Commission Regulations (EC) No. 641/2004 and (EC) No. 1981/2006. 2013, OJ L 157; 2013. p. 1–48.
Kohl C, Craig W, Frampton G, Garcia-Yi J, van Herck K, Kleter GA, Krogh PH, Meissle M, Romeis J, Spök A. Developing a good practice for the review of evidence relevant to GMO risk assessment. GMOs Integr Plant Prod. 2013;97:55–62.
Google Scholar
Kohl C, Frampton G, Sweet J, Spök A, Haddaway NR, Wilhelm R, Unger S, Schiemann J. Can systematic reviews inform GMo risk assessment and risk management? Front Bioeng Biotechnol. 2015;3:113.
Article
Google Scholar
Kitchenham B, Charters S. Guidelines for performing systematic literature reviews in software engineering version 2.3. EBSE Tech Rep. 2007;1–65.
EFSA. Application of systematic review methodology to food and feed safety assessments to support decision making. EFSA J. 2010;8(6):1637.
Article
Google Scholar
CEE. Guidelines for systematic review and evidence synthesis in environmental management. Version 4.2; 2013. p. 1–80.
James KL, Randall NP, Haddaway NR. A methodology for systematic mapping in environmental sciences. Environ Evid. 2016;5:7.
Article
Google Scholar
Bragge P, Clavisi O, Turner T, Tavender E, Collie A, Gruen RL. The global evidence mapping initiative: scoping research in broad topic areas. BMC Med Res Methodol. 2011;11:92.
Article
Google Scholar
Gathmann A, Priesnitz KU. What is the evidence on the inheritance of resistance alleles in populations of lepidopteran/coleopteran maize pest species: a systematic map protocol. Environ Evid. 2014;3:13.
Article
Google Scholar
Gathmann A, Priesnitz KU. How susceptible are different lepidopteran/coleopteran maize pests to Bt-proteins: a systematic review protocol. Environ Evid. 2014;3:12.
Article
Google Scholar
Priesnitz KU, Vaasen A, Gathmann A. Baseline susceptibility of different European lepidopteran and coleopteran pests to Bt proteins expressed in Bt maize: a systematic review. Environ Evid. 2016;5:27.
Article
Google Scholar
Meissle M, Naranjo SE, Kohl C, Riedel J, Romeis J. Does the growing of Bt maize change abundance or ecological function of non-target animals compared to the growing of non-GM maize? A systematic review protocol. Environ Evid. 2014;3:7.
Article
Google Scholar
Kostov K, Damgaard CF, Hendriksen NB, Sweet JB, Krogh PH. Are population abundances and biomasses of soil invertebrates changed by Bt crops compared with conventional crops? A systematic review protocol. Environ Evid. 2014;3:10.
Article
Google Scholar
Kostov K, Krogh PH, Damgaard CF, Sweet JB, Hendriksen NB. Are soil microbial endpoints changed by Bt crops compared with conventional crops? A systematic review protocol. Environ Evid. 2014;3:11.
Article
Google Scholar
Sweet J, Kostov K. What are the effects of the cultivation of GM herbicide tolerant crops on botanical diversity? A systematic review protocol. A systematic review protocol. Environ Evid. 2014;3:8.
Article
Google Scholar
Garcia-Yi J, Lapikanonth T, Vionita H, Vu H, Yang S, Zhong Y, Li Y, Nagelschneider V, Schlindwein B, Wesseler J. What are the socio-economic impacts of genetically modified crops worldwide? A systematic map protocol. Environ Evid. 2014;3:24.
Article
Google Scholar
Marshall C, Brereton P. Tools to support systematic literature reviews in software engineering: a feature analysis. In: International Symposium on Empirical Software Engineering and Measurement; 2014. p. 296–9.
Practice CfRiEB. The systematic review accelerator. Centre for Research in Evidence Based Practice; 2017.
Rathbone J, Carter M, Hoffmann T, Glasziou P. Better duplicate detection for systematic reviewers: evaluation of systematic review assistant-deduplication module. Syst Rev. 2015;4(1):6.
Article
Google Scholar
Wallace BC, Small K, Brodley CE, Lau J, Trikalinos TA. Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. In: Proceedings of the ACM International Health Informatics Symposium (IHI); 2012. p. 819–24.
Marshall IJ, Kuiper J, Wallace BC. RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials. J Am Med Inform Assoc. 2016;23:193–201.
Article
Google Scholar
Barn BS, Raimondi F, Athappian L, Clark T. Slrtool: a tool to support collaborative systematic literature reviews. In: Proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS-2014). Science and Technology Publications, Lda.; 2014. p. 440–7.
Hassler E, Carver JC, Hale D, Al-Zubidy A. Identification of SLR tool needs—results of a community workshop. Inf Softw Technol. 2016;70:122–9.
Article
Google Scholar
Marshall C, Brereton P, Kitchenham B. Tools to support systematic reviews in software engineering: a cross-domain survey using semi-structured interviews. In: Proceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering—EASE ‘15; 2015. p. 1–6.
Collins A, Coughlin D, Miller J, Kirk S. The production of quick scoping reviews and rapid evidence assessments: a how to guide. London: Joint Water Evidence Group; 2015.
Google Scholar
O’Mara-Eves A, Thomas J, McNaught J, Miwa M, Ananiadou S. Using text mining for study identification in systematic reviews: a systematic review of current approaches. Syst Rev. 2015;4:5.
Article
Google Scholar
Thomas J, McNaught J, Ananiadou S. Applications of text mining within systematic reviews. Res Synth Methods. 2011;2:1–14.
Article
Google Scholar
Molléri JS, Benitti FBV. ARS—Uma abordagem para automatização de revisões sistemáticas da literatura em engenharia de software: Relatório Técnico. Itajaí, Brazil; 2013.
Khangura S, Konnyu K, Cushman R, Grimshaw J, Moher D. Evidence summaries: the evolution of a rapid review approach. Syst Rev. 2012;1:10.
Article
Google Scholar
Roll U, Correia RA, Berger-Tal O. Using machine learning to disentangle homonyms in large text corpora. Conserv Biol. 2017. https://doi.org/10.1111/cobi.13044.
Google Scholar
CADIMA. Quedlinburg, Germany: Julius Kühn-Institut; 2017.
Covidence systematic review software. Melbourne, Australia: Veritas Health Innovation.
DistillerSR. Ottawa, Canada: Evidence Partners.
Glujovsky D, Bardach A, García Martí S, Comandé D, Ciapponi A. EROS: a new software for early stage of systematic reviews. Value Health. 2011;14:A564.
Article
Google Scholar
Thomas J, Brunton J, Graziosi S. EPPI-reviewer 4: software for research synthesis. EPPI-Centre Software. London: Social Science Research Unit, Institute of Education; 2010.
Google Scholar
HAWC. Health Assessment Workplace Collaborative. 2013.
Shapiro A, Rusyn I. Health assessment workspace collaborative (HAWC) project overview; 2014.
Lajeunesse MJ. Facilitating systematic reviews, data extraction, and meta-analysis with the METAGEAR package for R. Methods Ecol Evol. 2015;7:323–30.
Article
Google Scholar
Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A, Chalmers T, Smith H, Blackburn B, Silverman B, Schroeder B, Reitman D, et al. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5:210.
Article
Google Scholar
Review Manager (RevMan) Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration; 2014.
Fernández-Sáez AM, Genero Bocco M, Romero FP. SLR-Tool a tool for performing systematic literature reviews. In: ICSOFT 2010—Proceedings of the 5th International Conference on Software and Data Technologies. 2010; 2:157–66.
Bowes D, Hall T, Beecham S. SLuRp: a tool to help large complex systematic literature reviews deliver valid and rigorous results. In: Proceedings of the 2nd international workshop on Evidential assessment of software technologies—EAST ‘12; 2012. p. 33–6.
Fabbri S, Silva C, Hernandes E, Octaviano F, Di Thommazo A, Belgamo A. Improvements in the StArt tool to better support the systematic review process. In: Proceedings of the 20th International Conference on Evaluation and Assessment in Software Engineering—EASE ‘16 2016. p. 1–5.
Howard BE, Phillips J, Miller K, Tandon A, Mav D, Shah MR, Holmgren S, Pelch KE, Walker V, Rooney AA, et al. SWIFT-Review: a text-mining workbench for systematic review. Syst Rev. 2016;5:87.
Article
Google Scholar
Systematic Review and Meta-Analysis Facility (Syrf). Edinburgh, UK: CAMARADES-NC3Rs; 2017.