ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Thyroid Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1392283
This article is part of the Research TopicMultidimensional Approaches to Suicide Prevention: Innovations, Challenges, and Future DirectionsView all 19 articles
Development and validation of a nomogram for predicting suicide risk factors in thyroid cancer patients following diagnosis: A populationbased retrospective study
Provisionally accepted
Jie Zhou1,2,3
Mengjie Tian2,3,4Xiangchen Zhang1,2,3Lingyi Xiong2,3,4Jinlong Huang1,2,3Mengfan Xu2,3,4
Xinjun Liang2,3,4*
Shaozhong Wei1,2,3*- 1Department of Gastrointestinal Oncology Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 2Hubei Provincial Colorectal Cancer Clinical Medical Research Center, Wuhan, China
- 3Wuhan Clinical Research Center for Colorectal Cancer, Wuhan, China
- 4Department of Abdominal Oncology, Hubei Cancer Hospital, Wuhan, Hebei Province, China
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Objectives: To develop and validate a user-oriented nomogram of suicide risk in thyroid cancer patients to enable clinicians to identify and intervene in a timely manner with high-risk subgroups.Methods: This was a retrospective, population-based cohort study in which patients with thyroid cancer diagnosed from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2020 were include. Optimized features were screened by the least absolute shrinkage and selection operator (LASSO) regression model. Subsequently, we selected variables with nonzero coefficients, entered them into a Cox proportional hazards regression model and constructed a visualized nomogram model predicting suicide. We implemented receiver operating characteristic curves (ROC), calibration curves, decision curve analysis (DCA), and internal validation to assess the discrimination, calibration, clinical applicability, and generalizability of the nomogram.Results: To our knowledge, this is the first nomogram specifically designed for thyroid cancer patients, integrating histopathological, therapeutic, and socioeconomic predictors. Furthermore, the calibration curves for this nomogram fit well with the diagonal, and the C-indexes for the training and testing sets were 0.760 and 0.724, respectively, and the decision curve analysis indicated clinical benefit.This study successfully identified risk factors for suicide in patients with thyroid cancer and developed a nomogram that provides patients with an individualized, quantifiable assessment of suicide risk and assists clinicians in identifying and intervening in potential suicides.
Keywords: Suicide, thyroid cancer, nomogram, predictors, SEER, Population-based Study
Received: 27 Feb 2024; Accepted: 08 Sep 2025.
Copyright: © 2025 Zhou, Tian, Zhang, Xiong, Huang, Xu, Liang and Wei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Xinjun Liang, Department of Abdominal Oncology, Hubei Cancer Hospital, Wuhan, Hebei Province, China
Shaozhong Wei, Department of Gastrointestinal Oncology Surgery, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.