Evidence map›Paper›PMID 41381990›Full record

ArticleUpdates in surgery2026

Construction and validation of a nomogram for predicting distant metastasis in Hurthle cell carcinoma of the thyroid.

Hang Su, Xinian Jiang, Linyue Sun, Juanjuan Hao, Fenghua Zhang

Abstract readValidation Study
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In one paragraph

Article in Updates in surgery, 2026. 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Hang SuDepartment of Thyroid and Breast Surgery, Hebei General Hospital, Shijiazhuang, China. 1900826098@qq.com.ORCID http://orcid.org/0000-0002-6908-851X
Xinian JiangDepartment of Thyroid and Breast Surgery, Hebei General Hospital Affiliated to Hebei North University, Shijiazhuang, China.
Linyue SunDepartment of Thyroid and Breast Surgery, Hebei General Hospital Affiliated to North China University of Science and Technology, Shijiazhuang, China.
Juanjuan HaoDepartment of Radiology, Peking University People's Hospital, Huailai Campus, Zhangjiakou, China.
Fenghua ZhangDepartment of Thyroid and Breast Surgery, Hebei General Hospital, Shijiazhuang, China.

Funding

Hebei Provincial Health and Family Planning Commission 20260019
6 · The paper itself

Abstract

To analyze independent risk factors for distant metastasis of Hurthle cell carcinoma (HCC)of the thyroid and to construct and validate a nomogram, thereby assisting clinicians in making more individualized clinical decisions. Patient data were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Chi-square tests and Logistic regression analysis were used to determine independent risk factors for distant metastasis of HCC. Logistic regression models based on significant independent risk factors were established using the rms package of R software (version 4.3.3) and visualized as a nomogram. The performance of the nomogram was evaluated using subject operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). A total of 1312 HCC patients were included, among whom 48 patients developed distant metastasis, accounting for 3.66% of the entire cohort. Results of chi-square test and univariate logistic regression analysis indicated that age, gender, marital status, tumor size, and lymph node metastasis were significantly associated with distant metastasis of HCC. Multifactorial logistic regression analysis revealed that age, gender, marital status and lymph node metastasis were independent risk factors for distant metastasis of HCC, which were used to construct the nomogram. Results of ROC curve analysis, calibration curves, and DCA demonstrated that the nomogram had good predictive performance. We successfully constructed and validated a nomogram for predicting distant metastasis of HCC. This nomogram is important for clinicians to promptly identify patients at high risk of distant metastasis and formulate more individualized clinical decisions.

Indexed as

Adenoma, OxyphilicNomogramsThyroid NeoplasmsAdultAgedFemaleHumansLogistic ModelsLymphatic MetastasisMaleMiddle AgedNeoplasm MetastasisRisk FactorsROC CurveSEER ProgramDistant metastasisHurthle cell carcinoma of the thyroidNomogramSEER database

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.