Year: 2026
Type: article
Abstract: I read with interest the recent article by Eisele-Metzger and colleagues, 1 which provides a timely investigation into the use of the large language model (LLM) Claude 2 for assessing the risk of bias (RoB) in randomized controlled trials.The exploration of LLMs to address the substantial resource burden of systematic reviews is of great importance.2 However, to ensure this line of inquiry yields robust and actionable insights, several methodological considerations warrant deeper discussion.I wish to raise five key critiques grounded in the broader literature on RoB reliability and LLM evaluation, which suggest opportunities to strengthen future validation studies and better define the practical role of LLMs in evidence synthesis.
Source: Research Synthesis Methods
Author: Vihaan Sahu
Institution: Georgian National University SEU
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,020
OpenAlex ID: W7127891032