Assists with systematic review methodology including PICO formulation, search strategy development, study selection, and quality assessment using PRISMA guidelines.
A comprehensive assistant for conducting systematic reviews and meta-analyses following PRISMA 2020 guidelines. This skill supports the entire systematic review workflow from research question formulation through PICO framework development, search strategy construction, study screening and selection, quality assessment, data extraction, and evidence synthesis reporting.
npx skills add Open-Medica/open-medical-skills --skill systematic-review-assistant
PICO formulation and search strategy:
Develop a systematic review protocol for:
Research question: In adult patients with type 2 diabetes and chronic kidney disease,
does the addition of a GLP-1 receptor agonist to standard care, compared to standard
care alone, reduce the composite endpoint of major adverse kidney events?
PICO Framework:
Element Definition Search Terms P (Population) Adults with T2DM and CKD "diabetes mellitus, type 2"[MeSH] OR "type 2 diabetes" OR "T2DM" AND "renal insufficiency, chronic"[MeSH] OR "chronic kidney disease" OR "CKD" OR "diabetic nephropathy" I (Intervention) GLP-1 receptor agonist "glucagon-like peptide 1"[MeSH] OR "GLP-1 receptor agonist" OR semaglutide OR liraglutide OR dulaglutide OR exenatide OR lixisenatide C (Comparison) Standard care without GLP-1 RA "standard of care" OR "usual care" OR placebo OR "standard treatment" O (Outcome) Major adverse kidney events (MAKE) "kidney failure" OR "renal replacement therapy" OR "dialysis" OR "kidney transplantation" OR "estimated glomerular filtration rate decline" OR "eGFR" OR "MAKE" Eligibility Criteria:
- Inclusion: RCTs and quasi-experimental studies; adults >=18 years; established T2DM and CKD (eGFR <60 mL/min/1.73m2); minimum 24-week follow-up
- Exclusion: Type 1 diabetes; ESKD on dialysis at enrollment; pediatric populations; conference abstracts without full-text; non-English publications without available translation
Databases to search: PubMed/MEDLINE, Embase, Cochrane CENTRAL, ClinicalTrials.gov (for unpublished trial data)
PubMed search string:
(("diabetes mellitus, type 2"[MeSH] OR "type 2 diabetes"[tiab] OR "T2DM"[tiab]) AND ("renal insufficiency, chronic"[MeSH] OR "chronic kidney disease"[tiab] OR "CKD"[tiab] OR "diabetic nephropathy"[tiab]) AND ("glucagon-like peptide 1"[MeSH] OR "GLP-1"[tiab] OR "semaglutide"[tiab] OR "liraglutide"[tiab] OR "dulaglutide"[tiab]) AND ("randomized controlled trial"[pt] OR "clinical trial"[pt]))
This skill is part of Open Medical Skills, a curated marketplace of medical AI skills maintained by physicians for physicians and the healthcare industry.