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Xiangji Ying on Muck Rack

Xiangji Ying

As seen in: Nature, BMJ Open, JAMA (The Journal of the American Medical Association), medRxiv, Journal of Clinical Epidemiology
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Articles

SPIRIT-CONSORT-ELM: Element-Level Assessment of Randomized Controlled Trial Reporting Using Large Language Models

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By Lan Jiang, Xiangji Ying, Andrew Brown Verified
| medRxiv
The authors have declared no competing interest. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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An automated approach to improve clinical trial registration and to identify outcome changes on ClinicalTrials.gov

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By Xiangji Ying, Kiran Ninan, Jean-Pierre Oberste, Colby Vorland, Tianjing Li, Andrew Brown, Joe Menke, Riaz Qureshi, Nicholas DeVito, Matthew Page, Joanne McKenzie, Ian J. Saldanha, Sirui Zhang, Nancy Butcher, Martin Offringa, Jamie Cummins, Halil Kilicoglu, Evan Mayo-Wilson
| Nature Verified
Abstract It is difficult to ensure clinical trial outcomes are defined completely in registrations, and to check outcome changes between registration and posting results. We developed a large language model (LLM)-based approach to evaluate outcome definitions and changes on ClinicalTrials.gov.
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Publication of Results of Registered Trials With Published Study Protocols, 2011-2022

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By Colby Vorland, Andrew Brown Verified, Halil Kilicoglu, Xiangji Ying
| JAMA (The Journal of the American Medical Association) Verified
Key Points Question What proportion of registered clinical trials with published study protocols do not publish their results? Findings In this cross-sectional study of 308 clinical trial protocols published on PubMed Central between 2011 and 2022, weighted analysis found that approximately 36% of trials with published protocols did not publish their main results.
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