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Large Language Model Analysis of Reporting Quality of Randomized Clinical Trial Articles: A Systematic Review

Medicine and Health

Large Language Model Analysis of Reporting Quality of Randomized Clinical Trial Articles: A Systematic Review

A. Srinivasan, J. Berkowitz, et al.

Incomplete reporting in randomized clinical trials obscures bias and limits reproducibility. Using a zero-shot large-language-model pipeline, the authors automated CONSORT assessment across 21,041 RCTs, mapping reporting quality over time and disciplines and uncovering persistent gaps in critical trial details. Research conducted by Apoorva Srinivasan, Jacob Berkowitz, Nadine A. Friedrich, Sophia Kivelson, and Nicholas P. Tatonetti.

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~3 min • Beginner • English
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Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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