Evidence map›Paper›PMID 36313643›Full record

ArticleFrontiers in oncology2022

Nomogram for preoperative estimation risk of cervical lymph node metastasis in medullary thyroid carcinoma.

Zhiyan Luo, Yurong Hong, Caoxin Yan, Qin Ye, Yong Wang, Pintong Huang

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Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zhiyan LuoDepartment of Ultrasound Medicine, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yurong HongDepartment of Ultrasound Medicine, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Caoxin YanDepartment of Ultrasound Medicine, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Qin YeDepartment of Pathology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Yong WangDepartment of Surgery, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Pintong HuangDepartment of Ultrasound Medicine, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Cervical lymph node metastasis (CLNM) is common in medullary thyroid carcinoma (MTC), but how to manage cervical lymph node involvement of clinically negative MTC is still controversial. This study evaluated the preoperative features and developed an ultrasound (US)-based nomogram to preoperatively predict the CLNM of MTC. Materials and methods: A total of 74 patients with histologically confirmed MTC were included in this retrospective study and assigned to the CLNM-positive group and CLNM-negative group based on the pathology. The associations between CLNM and preoperative clinical and sonographic characteristics (size, location, solid component, shape, margin, echogenicity, calcification, and extracapsular invasion of the tumor) were evaluated by the use of univariable and multivariable logistic regression analysis. A nomogram to predict the risk of the CLNM of MTC was built and assessed in terms of discrimination, calibration, and clinical usefulness. Results: The nomogram was based on three factors (tumor margin, US-reported suspicious lymph node, and extracapsular invasion US features) and exhibited good discrimination with an area under the curve (AUC) of 0.919 (95% CI, 0.856-0.932). The calibration curves of the nomogram displayed a good agreement between the probability as predicted by the nomogram and the actual CLNM incidence. Conclusions: We constructed and validated a US-based nomogram to predict the risk of CLNM in MTC patients, which can be easily evaluated before surgery. This model is helpful for clinical decision-making.

Indexed as

cervical lymph node metastasisnomogramprevention lymph node dissectionsporadic medullary thyroid carcinomaultrasonography

Identifiers

PMID36313643
PMCPMC9605736

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