Systematic Review Services

Faster reviews: An average 35% reduction in time spent per review, saving an average of 71 hours per review.
Expert, online support: Easy to learn and use, with 24/7 support from product experts who are also seasoned reviewers!
Seamless collaboration: Enable the whole review team to collaborate from anywhere.
Suits all levels of experience and sectors: Suitable for reviewers in a variety of sectors including health, education, social science and many others.

PICO Portal assists you with identifying relevant citations, de-duplication, screening, full-text review, and evidence mapping in your next systematic review!

Tool to help you navigate through the systematic review process. Requires creating an account. Must be a UCI faculty, staff or student.

Tool that help translate search strategies from PubMed to other databases, like EMBASE, CINAHL, etc.. Not perfect but helpful.

In an effort to reduce the burden of conducting systematic reviews, researchers and developers at the Brown University Evidence-based Practice Center (EPC) (previously at Tufts Medical Center), with support from the Agency for Healthcare Research and Quality (AHRQ), have developed a collaborative, Web-based repository of systematic review data. This resource serves as both an archive and data extraction tool and is shared among organizations and individuals producing systematic reviews worldwide, enabling the creation of a central database of systematic review data which may be critiqued, updated, and augmented on an ongoing basis. This database is freely accessible to facilitate evidence reviews and thus improve and speed up policy-making with regards to healthcare.

Voyant Tools is a web-based text reading and analysis environment. It's designed to make it easy for you to work with your own text or collection of texts in a variety of formats, including plain text, HTML, XML, PDF, RTF, and MS Word.

PubReMiner is a front-end for the popular PubMed literature database at the NCBI. When you submit your query (which can be any query that can be processed by PubMed), PubReMiner will process the result of that query and display its results (in the form of selectable "keywords") in frequency tables, which can be added/excluded from the query to optimize the results.