Practical notes on AI literature review, screening, synthesis, and citation audit.
Data extraction is reducing included records to inspectable fields. It is not a results section, not a meta-analysis, and not something you complete from a title when full text is missing.
A research gap is not “more studies are needed.” It is a missing population, comparator, endpoint, follow-up, or design implied by included evidence. Here is how to turn a literature review into the next study.
Appraisal judges whether an extracted study can support an inference. LitSynth does not implement Cochrane RoB 2, ROBINS-I, or GRADE. Report the order, use the table as a worksheet, and do not mint Low/High badges.
Screening is not “the AI ranked papers.” It is pre-specified eligibility, an inspectable first pass on titles and abstracts, and a human who can reverse every recommendation.
A biomedical literature review needs a focused question, transparent retrieval, relevance screening, selected evidence, synthesis, and careful citation checks.
Systematic Review Beta is a PRISMA-lite workflow for protocol notes, title and abstract screening, evidence tables, and audit checks without claiming full PRISMA 2020 compliance.