Utility of large language models as information tools for nursing care in gout: a comparative study of DeepSeek and ChatGPT - Takeaways - MDSpire

Utility of large language models as information tools for nursing care in gout: a comparative study of DeepSeek and ChatGPT

  • By

  • Xia Pan

  • Yali Wang

  • QiaoLan Yang

  • Jing Wang

  • Yun Tong

  • Duanfeng Zhang

  • Xiaofeng Lv

  • Chun Zheng

  • Miaoyin Wu

  • Tianwang Li

  • Li Tang

  • Zhengping Huang

  • May 7, 2026

  • 0 min

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  • 1

    This study compares the effectiveness of DeepSeek-R1 and ChatGPT-4.0 as informational resources for nursing care in gout.

  • 2

    DeepSeek-R1 had a higher Flesch Kincaid Grade Level and lower Flesch Reading Ease compared to ChatGPT-4.0, indicating less readability.

  • 3

    ChatGPT-4.0 achieved a numerically superior mDISCERN quality score compared to DeepSeek-R1, although the difference was not statistically significant.

  • 4

    DeepSeek-R1 provided more current citations, but it also had four invalid reference links, highlighting a limitation in its reliability.

  • 5

    Both models generated high-quality responses, but ChatGPT-4.0 presented information in a more coherent and accessible manner.

Original Source(s)

Utility of large language models as information tools for nursing care in gout: a comparative study of DeepSeek and ChatGPT

  • by Xia Pan, Yali Wang, QiaoLan Yang, Jing Wang, Yun Tong, Duanfeng Zhang, Xiaofeng Lv, Chun Zheng, Miaoyin Wu, Tianwang Li, Li Tang, Zhengping Huang

  • May 7, 2026

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