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SRDR+ is a free, powerful, easy to use tool for data extraction, management, and archival during systematic reviews.
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Use SRDR+ as a free platform for extracting, archiving, and sharing data during systematic reviews and accessing shared data related to systematic reviews.
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Use SRDR+ for instructing students and trainees in the best practices related to research methodology and evaluation.
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Leading professionals love SRDR+
Mathias Perleth, MPH
Board Treasurer, International Network of Agencies for Health Technology Assessment [INAHTA], Germany“In my regard, SRDR is among the most relevant developments in recent years!”
Christine Clifford, MHP
Project Director, Eunice Kennedy Shriver Center, University of Massachusetts Medical School, USA“I like SRDR’s use of the Tabs and the separation by topic area of the Tabs; it allows for focus on sections of a paper at a time. SRDR is powerful and adaptable, provides a way to standardize diverse results, and provides structure.“
Tianjing Li, MD, MHS, PhD
Director, Cochrane Eyes and Vision United States Satellite, Associate Professor, Johns Hopkins Bloomberg School of Public Health, USA“SRDR is one of the few data systems designed specifically for producing and archiving systematic reviews with the intention to share the data with the public. It’s extremely flexible and it allows users to design their forms (and data items on the forms) in a way that best suit their needs and workflow.”
James Scott Parrott, PhD
Professor, Rutgers University School of Health Professions, USA“The structure of SRDR lends itself well to teaching metacognitive processes associated with linking the discrete steps of the evidence analysis process. Another benefit is the flexibility of SRDR to handle diagnostic accuracy as well as etiology, treatment, and prognosis questions during systematic reviews.”
Create your systematic review project todaySRDR+ has a variety of features that make it the best place to conduct systematic reviews.
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Recently published projects
First published on February 02, 2021
Last edited on February 19, 2021Automated-Entry Patient Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes
128 Studies • 50 Key Questions • 10 Extraction Forms
Objectives: Technical brief for AHRQ on the evidence for whether PGHD devices and apps improve health outcomes for chronic conditions
First published on July 05, 2020
Last edited on February 14, 2021The effect of IDH inhibitors in AML patients.
4 Studies • 2 Key Questions • 1 Extraction Forms
Objectives: 12% of patients with AML harbor mutation at Isocitrate dehydrogenase enzyme (IDH).Mutations at these enzymes result in high level of R2 hydroxyglutarate which competes with 2-alpha-hydroxygluterate resulted in DNA and histone hypermethylation. DNA and histone hypermethylation inhibits cell differentiation and promotes leukemic transformation. Ivosidenib and Enasidenib are IDH inhibitors that promotes cell differentiation and showed promising activity in phase1 and 2 trials in relapse/refractory AML patients and in elderly patients who are not candidate for traditional induction regimens. In this systematic review and meta-analysis, we intend to integrate the results of phase1 and 2 trials that looked at the efficacy and the side effects of IDH inhibitor. Therefore,we will have a clearer picture regarding the efficacy and side effect of these medications.
First published on February 12, 2019
Last edited on February 19, 2021SRDR Project Indexing
183 Studies • 1 Key Questions • 1 Extraction Forms
Objectives: This is a Methods Research project that catalogs the various projects with publicly available data on the SRDR Webpage.