Article

A Pilot Project Leveraging Large Language Models for Automated Screening and Variable Extraction in Observational Studies

2026-06-15

Abstract excerpt

<h4>Background</h4> Systematic reviews of observational studies are central to causal inference in chronic disease epidemiology but are increasingly limited by the scale of the literature and heterogeneity in confounder control. There is a need for transparent, open methods that reduce screening burden and make reported exposures, outcomes, and covariates comparable across studies. <h4>Objective</h4> To develop...

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Literature Corpus work: b9deee2a-6e75-5ea3-90c6-5730b9b2c64e
DOI: 10.64898/2026.06.13.26355589

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