Curating a knowledge base for patients with neurosyphilis: a study protocol of a DEep learning Framework for pErsonalized prediction of Adverse prognosTic events in NeuroSyphilis (DEFEAT-NS).

Journal: BMJ open
Published Date: Jul 18, 2025

Abstract

INTRODUCTION: Adverse prognostic events (APE) of neurosyphilis include ongoing syphilitic meningitis, meningovascular syphilis, parenchymatous neurosyphilis and death. Its complexity and rarity have the potential to result in the underestimated true burden of neurosyphilis worldwide, due to lack of recognition and under-reporting. The unmet need for a modern method of refined and targeted treatment of neurosyphilis is strengthened by the currently various distinct diagnostic criteria. The DEep learning Framework for pErsonalized prediction of Adverse prognosTic events in NeuroSyphilis study will develop and validate prediction models for personalised prediction of APE after initial diagnosis in neurosyphilis to aid shared decision-making and stratify care of patients with neurosyphilis at high risk of severe prognostic course.

Authors

  • Zhen Lu
    School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
  • Liuqing Yang
    Department of Anesthesiology, Institute of Anesthesia, Emergency and Critical Care, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, 225002 Yangzhou, Jiangsu, China.
  • Jun Li
    Department of Emergency, Zhuhai Integrated Traditional Chinese and Western Medicine Hospital, Zhuhai, 519020, Guangdong Province, China. quanshabai43@163.com.
  • Junfeng Wang
    Department of Colorectal Oncology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer, Tianjin, China.
  • Weibo Wu
    Department of Infectious Diseases, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong, China.
  • Leiwen Fu
    Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China.
  • Bingyi Wang
    School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Tian Tian
    Laboratory Animal Center College of Animal Science Jilin University Changchun China.
  • Hanlin Zhang
    Qingdao University, Qingdao, China. Electronic address: hanlin@qdu.edu.cn.
  • Zhipeng Peng
    AIDS Clinical Treatment Center, The Fourth People's Hospital of Nanning, Nanning, Guangxi, China.
  • Siyang Liu
    Department of AIDS Research, State Key Laboratory of Pathogen and Biosafety, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
  • Jun Zou
    State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
  • Huachun Zou
    School of Public Health, Sun Yat-sen University, Shenzhen, China.

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