Evidence map›Paper›PMID 39678428›Full record

ArticleGland surgery2024

Development and validation of a risk score model for patient stratification and personalized management of papillary thyroid cancer.

Honghao Guo, Na Shen, Yixuan Hu, Xingjie Hao, Huiqiong Zhang, Tao Huang, Ning Zhang

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Article in Gland surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Honghao Guo *Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Na Shen *Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yixuan Hu *Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xingjie HaoDepartment of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huiqiong ZhangDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Tao HuangDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ning ZhangDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The status of central lymph node (CLN) is a crucial determinant for the initial treatment of papillary thyroid cancer (PTC), but preoperative ultrasound (US) has limited ability to accurately assess their condition. This study aimed to develop a risk score model for risk stratification of CLN metastasis in unifocal PTC patients to guide the initial treatment. Methods: A total of 5,374 patients diagnosed with unifocal PTC at Union Hospital between November 2009 and August 2022 were finally enrolled in the analysis, including 3,542 patients in derivation cohort and 1,832 patients in validation cohort. Stepwise multivariable logistic regression was used to build the risk score of CLN metastasis. Risk score weights were assigned by dividing the coefficients of the predictors with the lowest coefficient value in the final model and rounding to the nearest integer. Points were calculated for each patient by adding these weights. Results: Ten multivariable predictors constructed the final model, including age, gender, body mass index, Hashimoto's disease, tumor location, calcification, capsule abnormalities, CLN and lateral lymph node (LN) abnormalities and tumor size. Based on the scores derived from these variables, patients were classified into four risk categories: low [0-9], low to intermediate [10-13], intermediate to high [14-17] and high [≥18], corresponding to 20.34%, 37.42%, 59.65%, and 83.82% of the observed incidence of CLN metastasis in the derivation cohort, respectively. In derivation and validation cohorts, the area under the curve of the final model was 0.764 and 0.72, respectively. Conclusions: Compared to relying solely on tumor size and LNs US findings, our risk score, incorporating demographic characteristics and routine pre-operative examinations, served as a more practical and effective tool for risk stratification of CLN metastasis in unifocal PTC patients, facilitating in clinical decision-making.

Indexed as

lymph node metastasisPapillary thyroid cancer (PTC)predictorsrisk scorethermal ablation (TA)

Identifiers

PMID39678428
PMCPMC11635556

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