Not Systematic? That’s Ok!
Any medical researcher can tell you that systematic reviews are hard. It’s not just the difficulty of building out a research question/protocol/search strategy that is intimidating—there is also simply a large burden in screening and extraction to ensure the true comprehensiveness of the studies and data collected. However, not all questions are appropriate for systematic […]
10 Things to Keep in Mind When Setting Up Your First Nest
1. Understand What Nested Knowledge Is and What It Does Before you dive into all that Nested Knowledge (NK) has to offer, you should understand the two-fold nature of the software platform: AutoLit, and Synthesis. AutoLit is the workflow portion, enabling researchers to generate high-quality evidence, like systematic reviews and meta-analyses. Synthesis is the visualization, […]
Can ChatGPT Do Your Next Systematic Review?
I started where any literature review starts–by trying to construct a Search. I wanted to see if ChatGPT could generate a PubMed query that would yield similar initial search results to a human’s initial search string. I figured it would be easiest to simply try to replicate the initial search from a recently published review conducted by our research team in collaboration with two physicians from Stanford.
New Sources of Recurring Revenue for CROs: A case study from Nested Knowledge
Tech, meet experts. It’s a powerful force multiplier: using Nested Knowledge’s intelligent systematic review and evidence visualization software, experts at a top clinical research organization have built a living evidence library for their client, a leading pharmaceutical company in the diabetes space.
Extraction
June 3, 2022 This help article is about performing data extraction for meta-analyses in the NK Platform. If you just want basic instructions, feel free to check out this part of our wiki. Extraction is quite contentious at NK. It is one of those things you either love or hate with the fire of 1000 […]
Nested Knowledge’s Public-interest Reviews
October 31, 2021 Nested Knowledge supports a wide range of review and meta-analysis projects, mostly completed by external researchers using our novel software system, AutoLit. However, as part of our internal testing of software performance and in support of grant submissions demonstrating the viability of AutoLit, we have completed and made public the following research […]
A “Meta” Analysis of Systematic Review Software
October 14, 2021 Update: Our systematic literature review of systematic literature review softwares was published! Check it out here. (May 2, 2022) Over the past few weeks, the research team at Nested Knowledge has been carefully answering an important question: how does our software stack up against other web-based tools for executing systematic literature reviews? […]