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Predictive factors for lung metastasis in pediatric differentiated thyroid cancer: a clinical prediction study

  • Hou-fang Kuang and Wen-liang Lu ORCID logo EMAIL logo
Published/Copyright: February 9, 2024

Abstract

Objectives

The objective of this study was to develop and evaluate the efficacy of a nomogram for predicting lung metastasis in pediatric differentiated thyroid cancer.

Methods

The SEER database was utilized to collect a dataset consisting of 1,590 patients who were diagnosed between January 2000 and December 2019. This dataset was subsequently utilized for the purpose of constructing a predictive model. The model was constructed utilizing a multivariate logistic regression analysis, incorporating a combination of least absolute shrinkage feature selection and selection operator regression models. The differentiation and calibration of the model were assessed using the C-index, calibration plot, and ROC curve analysis, respectively. Internal validation was performed using a bootstrap validation technique.

Results

The results of the study revealed that the nomogram incorporated several predictive variables, namely age, T staging, and positive nodes. The C-index had an excellent calibration value of 0.911 (95 % confidence interval: 0.876–0.946), and a notable C-index value of 0.884 was achieved during interval validation. The area under the ROC curve was determined to be 0.890, indicating its practicality and usefulness in this context.

Conclusions

This study has successfully developed a novel nomogram for predicting lung metastasis in children and adolescent patients diagnosed with thyroid cancer. Clinical decision-making can be enhanced by assessing clinicopathological variables that have a significant predictive value for the probability of lung metastasis in this particular population.


Corresponding author: Wen-liang Lu, Department of Thyroid and Breast Surgery, Maternal and Child Health Hospital of Hubei Province, Wuhan, P.R. China, Phone: +86 13100694804, E-mail:

Funding source: Maternal and Child Health Hospital Foundation

Award Identifier / Grant number: 220936007

Acknowledgments

We thank all members of our study team for their wholehearted cooperation.

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors contributed to study design and manuscript writing. Houfang Kuang undertook the research, wrote the main manuscript text, and prepared figures. Wenliang Lu revised the article critically for important intellectual content and final approval of the version to be submitted. All authors reviewed the manuscript.

  4. Competing interests: The authors state no conflict of interest.

  5. Research funding: This study was financially support by the foundation from Maternal and Child Health Hospital Foundation (No. 220936007 and No. 220936010).

  6. Data availability: The study data are from SEER database (https://seer.cancer.gov/).

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/jpem-2023-0425).


Received: 2023-09-25
Accepted: 2023-12-18
Published Online: 2024-02-09
Published in Print: 2024-03-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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