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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), Journal of Clinical Epidemiology
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Articles

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.
Open in Who Shared Issue with article?

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Key Points Question What proportion of registered clinical trials with published study protocols do not publish their results?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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Pilot trials may improve the quality of full-scale trials: a meta-research study

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By Xiangji Ying, Stephan Ehrhardt
| Journal of Clinical Epidemiology Verified
Evidence on the value of pilot trials for subsequent trial’s quality is scarce. This study aims to determine if a pilot trial improves the quality of the full-scale trial. We searched PubMed for pilot trials and their subsequent full-scale trials. The meta-analysis of the full-scale trials was used to identify other full-scale trials on the same research topic but without a pilot trial. Markers of trial quality included publication outcomes and Cochrane Risk of Bias Assessment.
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