New Study Develops and Validates Nomogram for Predicting Suicide Risk in Thyroid Cancer Patients

A team of investigators from Huazhong University of Science and Technology has conducted a study to develop and validate a user-oriented nomogram for predicting suicide risk in thyroid cancer patients. The researchers aimed to identify and intervene in a timely manner with high-risk subgroups. Using the Surveillance, Epidemiology, and End Results (SEER) database, the team analyzed patients with thyroid cancer diagnosed between 2000 and 2020. The study integrated histopathological, therapeutic, and socioeconomic predictors to create a visualized nomogram model predicting suicide.

Key Takeaways:

  • The study developed and validated a nomogram specifically designed for thyroid cancer patients, integrating multiple predictors of suicide risk.
  • The nomogram provided an individualized, quantifiable assessment of suicide risk and assisted clinicians in identifying and intervening in potential suicides.
  • The study used the Surveillance, Epidemiology, and End Results (SEER) database to analyze patients with thyroid cancer diagnosed between 2000 and 2020.
  • The calibration curves for the nomogram fit well with the diagonal, and the C-indexes for the training and testing sets were 0.760 and 0.724, respectively.
  • The decision curve analysis indicated clinical benefit for the nomogram in predicting suicide risk.

Statistics:

  • 2000-2020: The time period over which patients with thyroid cancer were analyzed using the Surveillance, Epidemiology, and End Results (SEER) database.
  • 0.760: The C-index for the training set, indicating high discrimination and calibration of the nomogram.
  • 0.724: The C-index for the testing set, indicating good generalizability of the nomogram.
  • 16: The volume of Frontiers in Endocrinology journal in which the study was published.

Sources:

  • Zhou, J., et. al. (2025). Development and validation of a nomogram for predicting suicide risk factors in thyroid cancer patients following diagnosis: a population-based retrospective study. Frontiers in Endocrinology, 16.
  • Huazhong University of Science and Technology.
  • Hubei, People's Republic of China.
  • Mentions of specific names, programs, or initiatives include Jie Zhou, Mengjie Tian, Xiangchen Zhang, Lingyi Xiong, Jinlong Huang, Mengfan Xu, Xinjun Liang, Shaozhong Wei and Department of Gastrointestinal Oncology Surgery.