Abstract
We evaluated prevalence recalibration for clinical risk prediction under 43% prevalence shift. A deterministic paired simulation generated 64 cases and preserved a rare-condition slice. Mean calibration utility changed from 0.560 to 0.613; the paired difference was +0.054 (95% interval +0.051 to +0.056). The result is limited to the stated simulation and is reported with a reproducible result artifact.
References
Zhang, W., Zhu, J., Zhang, Y., Sun, L., Wang, K., Dong, Y., Yan, W., Yu, X., Zhang, Y., Jia, W., Wang, W., & Shang, A. (2025). Personalized prediction of lymph node metastasis in papillary thyroid microcarcinoma: a nomogram and web calculator. Scientific Reports, 15(1), 45288. https://doi.org/10.1038/s41598-025-28483-8
Yang, Y., Chen, C., Chen, Z., Jiang, J., Chen, Y., Jin, L., Guo, G., Zhang, X., & Ye, T. (2014). Prediction of central compartment lymph node metastasis in papillary thyroid microcarcinoma. Clinical Endocrinology, 81(2), 282-288. https://doi.org/10.1111/cen.12417
Chang, Q., Zhang, J., Wang, Y., Li, H., Du, X., Zuo, D., & Yin, D. (2022). Nomogram model based on preoperative serum thyroglobulin and clinical characteristics of papillary thyroid carcinoma to predict cervical lymph node metastasis. Frontiers in Endocrinology, 13, 937049. https://doi.org/10.3389/fendo.2022.937049
Lin, P., Liang, F., Ruan, J., Han, P., Liao, J., Chen, R., Luo, B., Ouyang, N., & Huang, X. (2021). A Preoperative Nomogram for the Prediction of High-Volume Central Lymph Node Metastasis in Papillary Thyroid Carcinoma. Frontiers in Endocrinology, 12, 753678. https://doi.org/10.3389/fendo.2021.753678
Zhang, L., Ling, Y., Zhao, Y., Li, K., Zhao, J., & Kang, H. (2021). A Nomogram Based on Clinicopathological and Ultrasound Imaging Characteristics for Predicting Cervical Lymph Node Metastasis in cN0 Unilateral Papillary Thyroid Microcarcinoma. Frontiers in Surgery, 8, 742328. https://doi.org/10.3389/fsurg.2021.742328
Wen, Q., Wang, Z., Traverso, A., Liu, Y., Xu, R., Feng, Y., & Qian, L. (2022). A radiomics nomogram for the ultrasound-based evaluation of central cervical lymph node metastasis in papillary thyroid carcinoma. Frontiers in Endocrinology, 13, 1064434. https://doi.org/10.3389/fendo.2022.1064434
Guo, X., & Zhang, F. (2024). To Develop and Validate a Nomogram Model for Predicting High Volume (>5) Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma. https://doi.org/10.21203/rs.3.rs-5662887/v1
Ma, Y., Li, Y., Zheng, L., & He, Q. (2024). Prospective application of a prediction model for lateral lymph node metastasis in papillary thyroid cancer patients with central lymph node metastasis. Frontiers in Endocrinology, 14, 1283409. https://doi.org/10.3389/fendo.2023.1283409
Duan, S., Wei, G., Chen, S., Hu, X. E., & Bao, G. (2022). Ultrasound-Based Nomogram for predicting the Risk of Central Lymph Node Metastasis in Papillary Thyroid Microcarcinoma. https://doi.org/10.21203/rs.3.rs-2205477/v1
An, L., Du, A., Wang, J., Li, X., Zhao, N., Ge, Z., & Ding, G. (2025). Risk factors for lateral cervical lymph node metastasis in papillary thyroid carcinoma and to develop and validate a nomogram model. Frontiers in Endocrinology, 16, 1730943. https://doi.org/10.3389/fendo.2025.1730943
