Evidence map›Paper›PMID 35211090›Full record

ArticleFrontiers in endocrinology2021

Clinical Characteristics-Assisted Risk Stratification for Extent of Thyroidectomy in Patients With 1-4 cm Solitary Intrathyroidal Differentiated Thyroid Cancer.

Fang Dong, Lin Zhou, Shuntao Wang, Jinqian Mao, Chunping Liu, Wei Shi

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Article in Frontiers in endocrinology, 2021. 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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6 authors.

Fang DongDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lin ZhouDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Shuntao WangDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jinqian MaoDepartment of Vascular Surgery, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chunping LiuDepartment of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Wei ShiDepartment 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: Differentiated thyroid cancer (DTC) is the most common type of thyroid cancer. The 2015 American Thyroid Association (ATA) guidelines recommend that lobectomy is suitable for solitary intrathyroidal DTC (SI-DTC) of 1-4 cm. However, some SI-DTC patients with other high-risk characteristics still have poor prognosis and require more aggressive surgical methods. This study aimed to explore the clinical characteristics that are important for the identification and treatment of high-risk patients with SI-DTC of 1-4 cm. Methods: The study cohort was obtained from the SEER database, consisting of data between 2004 and 2013. The outcome measures were thyroid carcinoma-specific mortality (CSM) and all-cause mortality (ACM). Patient survival curves were examined using Kaplan-Meier analyses with log-rank tests and Cox proportional hazards regression analyses. Hazard ratios (HRs) were used to show the magnitude of the effect of disease stage on DTC-specific patient mortality. Results: The study included 55,947 patients with SI-DTC of 1-4 cm and 4,765 patients with DTC >4 cm. Tumor size, surgical approach, age, sex, race, and radiation exposure were independent risk factors for CSM and ACM. SI-DTC patients with female, age ≤45, and 1 cm< tumor size ≤2 cm were at low risk of CSM [HR = 0.014 (0.002-0.115)] and ACM [HR = 0.115 (0.077-0.171)] when stratified by age, sex, and tumor size. Compared to T3 patients, CSM was not significantly different in male patients, age >45, 2 cm< tumor size ≤3 cm [HR = 0.839 (0.414-1.700)] and male patients, age >45, 1 cm< tumor size ≤2 cm [HR = 0.751 (0.410-1.377)]. Furthermore, compared to T3 patients without extrathyroidal extension (ETE) and lymph node metastasis (LNM), more subgroups of SI-DTC of 1-4 cm had a similar prognosis. In addition, patients with SI-DTC of 1-4 cm showed similar rates of CSM and ACM to T3 patients without ETE, LNM, and distant metastasis (DM). Similar results were obtained when we set the age cut-off value as 55 years, according to the 8th edition of AJCC TNM system. Conclusions: Our study demonstrated that sex, age, and tumor size clearly differentiate SI-DTC of 1-4 cm into low-and high-risk categories. Survival rates were significantly lower in subgroups containing old males with larger tumors compared to younger females with small tumors. Total thyroidectomy may be favored in these high-risk subgroup patients.

Indexed as

ThyroidectomyThyroid NeoplasmsFemaleHumansLymphatic MetastasisMaleMiddle AgedRisk Assessmentdifferentiated thyroid cancerSEERsurgery approachesthyroidectomytumor size

Identifiers

PMID35211090
PMCPMC8861194

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