Postoperative Nomogram for Predicting Cancer-Specific and Overall Survival among Patients with Medullary Thyroid Cancer

Joint Authors

Wang, Yizeng
Wang, Yuyun
He, Xianghui
Zhao, Ke
Chen, Li

Source

International Journal of Endocrinology

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-23

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Biology

Abstract EN

Background.

Medullary thyroid carcinoma (MTC) accounts for 1%–2% of thyroid cancer in the United States based on the latest Surveillance, Epidemiology, and End Results (SEER) data, and this study aimed to construct a comprehensive predictive nomogram based on various clinical variables in MTC patients who underwent total thyroidectomy and neck lymph nodes dissection.

Methods.

Data regarding 1,237 MTC patients who underwent total thyroidectomy and neck lymph nodes dissection from 2004 to 2015 were obtained from the SEER database.

Univariate and multivariate Cox regression analyses were used to screen for meaningful independent predictors.

These independent factors were used to construct a nomogram model, a survival prognostication tool for 3- and 5-year overall survival, and cancer-specific survival among these MTC patients.

Result.

A total of 1,237 patients enrolled from the SEER database were randomly divided into the training group (n = 867) and the test group (n = 370).

Univariate and multivariate Cox regression analyses were used to identify meaningful independent prognostic factors (P<0.05).

Tumor size, age, metastasis status, and LNR were selected as independent predictors of overall survival (OS) and cancer-specific survival (CSS).

Finally, two nomograms were developed, and the predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the training group was 0.828 and 0.904, respectively.

The predicted C-index of overall survival (OS) and cancer-specific survival (CSS) rate in the test group was 0.813 and 0.828.

Conclusion.

Nomograms constructed by using various clinical variables can make more comprehensive and accurate predictions for MTC patients who underwent total thyroidectomy and neck lymph nodes.

These predictive nomograms help identify postoperative high-risk MTC patients and facilitate patient counseling on clinical prognosis and follow-up.

American Psychological Association (APA)

Chen, Li& Wang, Yizeng& Zhao, Ke& Wang, Yuyun& He, Xianghui. 2020. Postoperative Nomogram for Predicting Cancer-Specific and Overall Survival among Patients with Medullary Thyroid Cancer. International Journal of Endocrinology،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1170567

Modern Language Association (MLA)

Chen, Li…[et al.]. Postoperative Nomogram for Predicting Cancer-Specific and Overall Survival among Patients with Medullary Thyroid Cancer. International Journal of Endocrinology No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1170567

American Medical Association (AMA)

Chen, Li& Wang, Yizeng& Zhao, Ke& Wang, Yuyun& He, Xianghui. Postoperative Nomogram for Predicting Cancer-Specific and Overall Survival among Patients with Medullary Thyroid Cancer. International Journal of Endocrinology. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1170567

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1170567