Open Access
CC BY 4.0 · Chinese medicine and natural products 2025; 05(03): e172-e179
DOI: 10.1055/s-0045-1811654
Original Article

Exploring the Medication Patterns of Professor Zulong Wang in Treating Sleep-Related Painful Erection Based on Data Mining

Authors

  • Hanbin Zhao

    1   Department of Andrology, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China
    2   The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, Henan, China
  • Miaomiao Ma

    1   Department of Andrology, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China
    2   The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, Henan, China
  • Yuanyuan Li

    1   Department of Andrology, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China
    2   The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, Henan, China
  • Guangzhao Wang

    1   Department of Andrology, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China
    2   The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, Henan, China
  • Wenbo Zhu

    1   Department of Andrology, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China
    2   The First Clinical Medical School, Henan University of Chinese Medicine, Zhengzhou, Henan, China
  • Zulong Wang

    1   Department of Andrology, the First Affiliated Hospital of Henan University of Chinese Medicine, Zhengzhou, Henan, China

Funding This study was supported by the National Natural Science Foundation of China General Program (82174377) and National Traditional Chinese Medicine Advantageous Specialty Construction Project (GZY-ZY [2024]90).
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Abstract

Objective

To explore the medication patterns of Professor Zulong Wang in treating sleep-related painful erection (SRPE) through data mining, aiming to discover new therapeutic strategies for traditional Chinese medicine in managing this condition.

Methods

Medical records of SRPE patients treated by Professor Zulong Wang at the First Affiliated Hospital of Henan University of Chinese Medicine from February 2021 to December 2024 were collected to establish a database. Frequency analysis, association rule analysis, and cluster analysis were employed to examine the frequency of herb use, four properties and five flavors, channel tropisms, and herb combinations.

Results

A total of 59 prescriptions meeting the criteria were included, involving 81 Chinese herbs, among which 27 herbs were used 10 or more times. The primary herb properties were cold, warm, and neutral, with bitter, sweet, and pungent flavors being most common. The herbs predominantly entered the liver, heart, spleen, and kidney channels. Forty-three commonly used herb combinations were identified, and cluster analysis revealed six core herb groups.

Conclusion

Professor Zulong Wang primarily treats SRPE with modified Huoluo Xiaoling Dan, focusing on unblocking collaterals and relieving pain, supplemented by soothing the liver and regulating qi, resolving stasis and phlegm, nourishing yin and reducing fire, and tonifying the kidney and activating blood circulation.

CRediT Authorship Contribution Statement

Hanbin Zhao: Conceptualization, data curation, formal analysis, investigation, and writing-original draft. Miaomiao Ma: Project administration, supervision, and writing-review and editing. Yuanyuan Li: Data curation, formal analysis, and ethodology. Guangzhao Wang: Data curation, formal analysis, and investigation. Wenbo Zhu: Data curation, formal analysis, and investigation. Zulong Wang: Supervision and writing-review & editing.




Publikationsverlauf

Eingereicht: 10. April 2025

Angenommen: 07. Juli 2025

Artikel online veröffentlicht:
30. September 2025

© 2025. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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