A single narrow topic (e.g., heart failure) produces 10,000+ articles per year on PubMed. Reading everything is impossible. Missing a treatment standard change is dangerous. Manual systematization — no time.
Weekly monitoring of PubMed, clinical guidelines and meta-analyses in your specialty — structured reviews with evidence levels
A single narrow topic (e.g., heart failure) produces 10,000+ articles per year on PubMed. Reading everything is impossible. Missing a treatment standard change is dangerous. Manual systematization — no time.
Regular search across PubMed, Cochrane, OpenAlex by specified topics and MeSH tags. GistiQ visits professional society websites — ESC, AHA/ACC — and checks for guideline updates. Downloads full-text PDFs of open access articles. You can set any topics: SGLT2 inhibitors, heart failure, atrial fibrillation — as many areas as needed.
Each article is analyzed by template: study design, N patients, primary endpoint, result, NNT, limitations. Separation by evidence level: RCTs and meta-analyses (level A) separately from expert opinions and case reports. Comparison of new data with what's already in the database — "does this change previous recommendations or confirm them?". Flags: a new article contradicts the current guideline → flagged separately.
Research comparison tables in LaTeX — ready for conferences, rounds, clinical reviews. Summaries in PDF — can be printed or shared with colleagues. Everything with exact citations: DOI, authors, journal, year.
Answers strictly from scientific sources:
A cardiologist sets monitoring topics: heart failure, SGLT2 inhibitors, cardiac resynchronization. Each week receives a review: 3 new RCTs on SGLT2 (table: DAPA-CKD extension — N=4304, 39% reduction in CKD progression, NNT=19), updated ESC guideline for CHF (recommendation class for dapagliflozin changed from IIa to I), 2 meta-analyses. Each article — with structured analysis and evidence level.
Result: synthesis from 8 articles with specific numbers, NNT, and references.