Automated Paper Screening for Clinical Reviews Using Large Language Models: Data Analysis Study.

"all data and code are available in mendeley data sets [ ].; study title data set name included studies (538/24307) n/n study type study topic efficacy and safety of ivermectin for the treatment of covid-19: a systematic review and meta-analysis [ ] ivm a 35/279 systematic review and meta-analysis of randomized and nonrandomized trials covid-19 treatment and antimalarials efficacy and safety of selective serotonin reuptake inhibitors in covid-19 management: a systematic review and meta-analysis [ ] ssri b 29/3989 systematic review and meta-analysis of randomized and nonrandomized trials covid-19 treatment and antidepressants efficacy of lopinavir-ritonavir combination therapy for the treatment of hospitalized covid-19 patients: a meta-analysis [ ] lpvr c 91/1456 systematic review and meta-analysis of randomized and nonrandomized trials covid-19 treatment and antiretrovirals the use of acupuncture in patients with raynaud's syndrome: a systematic re-view and meta-analysis of randomized controlled trials [ ] raynauds d 6/942 systematic review and meta-analysis of randomized and nonrandomized trials raynaud syndrome and acupuncture comparative efficacy of adjuvant non-opioid analgesia in adult cardiac surgical patients: a network meta-analysis [ ] noa e 354/14771 systematic review and meta-analysis of randomized and nonrandomized trials postoperative pain and analgesics assessing the research landscape and utility of llms f in the clinical setting: protocol for a scoping review g llm 23/2870 scoping review machine learning in clinical medicine a ivm: ivermectin b ssri: selective serotonin reuptake inhibitor c lpvr: lopinavir-ritonavir d raynauds: raynaud syndrome e noa: nonopioid analgesia f llm: large language model g registered with open science framework [ ]."

"Conflicts of Interest: None declared."