Article

Can a Large Language Model Serve as the Missing Second Reviewer? Prominence Bias, Retrieval Effects, and a Confidence-Fabrication Gap in an Empirical Evaluation of Two Published Meta-Analyses

2026-07-28

Abstract excerpt

<title>Abstract</title> <p>Background Single-author systematic reviews (SRs) and meta-analyses (MAs) are common in the biomedical literature, yet methodological guidance discourages single authorship because a second independent reviewer reduces error and selection bias. Large language models (LLMs) have been proposed as a means of supplying that missing second reviewer, but existing validation studies are small...

Topics

Open a Topic to create a Post that cites this publication.

Uncategorized literature

Identifiers and source

Literature Corpus work: 0296434c-dae2-5bcf-9908-ad3c10a9eb0e
DOI: 10.21203/rs.3.rs-10475119/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Can a Large Language Model Serve as the Missing Second Reviewer? Prominence Bias, Retrieval Effects, and a Confidence-Fabrication Gap in an Empirical Evaluation of Two Published Meta-AnalysesDOI 10.21203/rs.3.rs-10475119/v1Read

Automation of Systematic Reviews with Large Language ModelsSemantic proximity Read

Collaborative Large Language Models for Automated Data Extraction in Living Systematic ReviewsSemantic proximity Read

Human Researchers are Superior to Large Language Models in Writing a Systematic Review in a Comparative Multitask AssessmentSemantic proximity Read

Fully Automated Systematic Review Generation via Large Language Models: Quality Assessment and Implications for Scientific PublishingSemantic proximity Read

Sensitivity, specificity and avoidable workload of using a large language models for title and abstract screening in systematic reviews and meta-analysesSemantic proximity Read

Artificial Intelligence in Systematic Reviews: Overcoming Reproducibility, Bias and Validation ChallengesSemantic proximity Read

How good are large language models for automated data extraction from randomized trials?Semantic proximity Read

Assessing the feasibility and acceptability of a bespoke large language model pipeline to extract data from different study designs for public health evidence reviewsSemantic proximity Read

Large Language Models in Psychology: Application in the Context of a Systematic Literature Review.Semantic proximity Read

Will generative AI help solve systematic literature reviews? Evidence from a 2-year research programmeSemantic proximity Read

Evaluating Loon Lens Pro™, an AI-Driven Tool for Full-Text Screening in Systematic Reviews: A Validation StudySemantic proximity Read

The use of a large language models to create plain language summaries of evidence reviews in healthcare: a feasibility studySemantic proximity Read