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abstrackr open-source, web-based software for (semi-automated?!) abstract-screening This project is currently supported by funding from AHRQ, grant number R01HS018494

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Abstract screening an unpleasant necessity

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abstrackr makes life easier! 1 upload citations PMIDs, RefMan XML, RIS, tab-delimited files 2 invite collaborators 3 screen abstrackr handles allocation and prioritizes screening citations likely to be relevant 4 export screening decisions

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But wait, theres more! single- or double-screening all labels are exported; you can see who screened which abstracts resolve conflicts (if screeners disagree) see how many unscreened abstracts are likely to be relevant add notes about studies and/or tags to them

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words of interest make screening decision tags

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unstructured and structured (PICO) note-taking

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A few words on semi-automating screening via machine learning

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Semi-Automating Abstract Screening via Supervised Machine Learning abstracts from PubMed search doctor conducting review manually screened abstracts SVM

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Results (Updating Reviews) We can achieve 100% recall while substantially reducing workload

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And now a brief demo http://abstrackr.tuftscaes.org [1] http://abstrackr.tuftscaes.org code @ http://github.com/bwallace/abstrackr-web/http://github.com/bwallace/abstrackr-web/ byron_wallace@brown.edu [1] the url will change to Brown soon, but well re-direct