Automated analyses of risk of bias and critical appraisal of systematic reviews (ROBIS and AMSTAR 2): a comparison of the performance of 4 large language models  Journal of the American Medical Informatics Association. 2025
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40680299

Beginner Writers' Guide Toward Scientific Publication: Habits and Principles Behind Written Words  Rehabilitation Nursing. 2025;50(3):106-111
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40434936

Bridging the research-to-practice gap: Implementation science approaches to transform health care delivery  Psychological Services. 2025;22(3):403-408
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40758276

Can large language models fully automate or partially assist paper selection in systematic reviews?  British Journal of Ophthalmology. 2025;109(8):962-966
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=39814458

Critical appraisal of systematic reviews and meta-analyses: a step-by-step guide for nephrologists  Renal Failure. 2025;47(1):2476736
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40143401

Development and evaluation of prompts for a large language model to screen titles and abstracts in a living systematic review  BMJ Ment Health. 2025;28(1)
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40701625

Disseminating research or evidence-based practice change via a poster presentation  Nursing. 2025;55(8):32-36
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40685535

Evidence-Based Medicine: Past, Present, Future  J Clin Med. 2025;14(14)
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40725787

Google Scholar as a Resource for Systematic Reviews in Clinical Medicine  Journal of Evaluation in Clinical Practice. 2025;31(5):e70206
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40652554

Heterogeneity in meta-analyses: an unavoidable challenge worth exploring  Korean Journal of Anesthesiology. 2025;78(4):301-314
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=39956636

How to develop and evaluate consensus documents: Methods and checklists  An Pediatr (Engl Ed). 2025;103(1):503890
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40634140

Improving peer review of systematic reviews and related review types by involving librarians and information specialists as methodological peer reviewers: a randomised controlled trial BMJ Evidence Based Medicine. 2025;30(4):241-249
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40074237

Leveraging the Jigsaw Learning Strategy to Promote Competence, Confidence, and Efficiency in Evidence-Based Practice Worldviews on Evidence-Based Nursing. 2025;22(4):e70047
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40635128

Rapid reviews methods series: guidance on rapid scoping, mapping and evidence and gap map ('Big Picture Reviews') BMJ Evidence Based Medicine. 2025;30(4):268-277
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=39904600

SPIRIT 2025 Statement: Updated Guideline for Protocols of Randomized Trials  JAMA. 2025;334(5):435-443
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40294593

Understanding Network Meta-Analysis: A Practical Introduction for Nurses  Journal of Advanced Nursing. 2025;81(8):5208-5213
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=39299787

Using Artificial Intelligence Tools as Second Reviewers for Data Extraction in Systematic Reviews: A Performance Comparison of Two AI Tools Against Human Reviewers  Cochrane Evidence Synthesis and Methods. 2025;3(4):e70036
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=

When a meta-analysis can be really useful? International Journal of Cardiology. 2025;436:133423
https://pubmed.ncbi.nlm.nih.gov/?otool=iaufhhslib&term=40425075