Synthesis Video Tutorials
The following are video tutorials for how to work with Synthesis.
Linux or Java Version usage: java -jar -Xmx1g Synthesis.jar)
A Synthesis Project in Ten Steps
Step 1 - Registration
Step 2 and 3 - Importing References and de-Duplication
Step 4 and 5 - Configure Settings and Inclusion/Exclusions
Step 6 - Downloading Papers
Step 7 and 8 - Custom Columns and Exporting CSV
Step 9 is Export to RIS format for Cite and Write (RefWorks, EndNote)
Step 10 is cite Synthesis in your Paper
Synthesis Info - Dual Reviewers
Step 10 - Cite Synthesis
Yergens D, Ray J, Doig CJ: KSv2: Application for Enhancing Scoping and
Systematic Reviews, American Medical Informatics Association (AMIA) 2012 Annual Symposium; 2012. November 2012. (poster)
Methods Write up Example from:
Yergens DW, Dutton DJ, Patten SB: An overview of the statistical methods reported by studies using the Canadian community health survey. BMC Medical Research Methodology 2014, 14:15
Data management and custom software
Once references were identified for inclusion by our literature search strategy, they were imported into a custom Java-based program that was used to facilitate the management of references and PDF documents. This software was created by DWY  and utilized for this project, hereafter “ Synthesis ” (www.synthesis.info). Synthesis uses the open-source Apache Lucene  database, which is a searchable database designed for the management and retrieval of textual information.
Lucene has been applied to medical and biology Information Retrieval projects in the past [11,12]. Synthesis uses Lucene's text search abilities to find key words or phrases in an article, similar to what can be done in most commercially available word processors by using the "find" com-
mand. Lucene is also able to search information within tables, as long as the table has not been embedded in the PDF as an image. The software then summarized, counted, and organized the identified keywords. These organized results included bibliographic information for each document, the electronic copy of that document with keywords identified in the document, and identified keyword variables that can later be filtered or otherwise manipulated (similar to values stored in a spreadsheet program). Using this software greatly increased the speed with which this literature search and analysis could be completed, thereby increasing the volume of articles that could be feasibly searched.
 Yergens D, Ray J, Doig CJ: KSv2: Application for Enhancing Scoping and Systematic Reviews, American Medical Informatics Association (AMIA) 2012 Annual Symposium; 2012. November 2012. (poster)
 McCandless M, Hatcher E, Gospodnetic O: Lucene in action. 2nd
editionStanford, CT USA: Manning Publications Co; 2010.
 Spat S, Cadonna B, Rakovac I, Gutl C, Leitner H, Stark G, Beck P: Enhanced information retrieval from narrative German-language clinical text documents using automated document classification. Stud Health TechnolInform 2008, 136:473 – 478.
Additional Synthesis Video Features:
Synthesis Info - Hints and Tips
Synthesis Info - Tabs
Synthesis Info - Grey Literature
Synthesis Info - Sample Columns and Kappa
Synthesis Info - Scan PDFs and Extract Images
Synthesis Info - Directories and Backups