Evidence map›Paper›PMID 34159295›Full record

ArticleJNCI cancer spectrum2021

Nomograms for Differentiated Thyroid Carcinoma Patients Based on the Eighth AJCC Staging and Competing Risks Model.

Chengzhuo Li, Fengshuo Xu, Qiao Huang, Didi Han, Shuai Zheng, Wentao Wu, Fanfan Zhao, Xiaojie Feng, Jun Lyu

Abstract read
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Article in JNCI cancer spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chengzhuo LiDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province, China.
Fengshuo XuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province, China.
Qiao HuangCenter for Evidence-Based and Translational Medicine, Zhongnan Hospital of Wuhan University, Hubei Province, China.
Didi HanDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province, China.ORCID 0000-0002-6975-2783
Shuai ZhengDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province, China.
Wentao WuSchool of Public Health, Xi'an Jiaotong University Health Science Center, Shaanxi Province, China.
Fanfan ZhaoDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province, China.
Xiaojie FengDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province, China.
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangdong Province, China.ORCID 0000-0002-2237-8771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Differentiated thyroid carcinoma (DTC) patients have a long survival period and good prognosis, so they are easily affected by competing risk events. The purpose of this study was to use the competing risks model to identify prognostic factors for cause-specific death (CSD) and death due to other causes (DOC) in patients with DTC. Methods: Our screening process identified 34 585 DTC patients in the Surveillance, Epidemiology, and End Results database and randomly divided them into a training cohort and a validation cohort. We used the Fine and Gray subdistribution hazards model to establish the CSD and DOC nomograms. The distinguishing ability and consistency of the nomograms were evaluated using the consistency indexes and calibration plots. Results: Our analysis of a competing risks model revealed that pathological grade, tumor size, histological type, American Joint Committee on Cancer (AJCC)-8 stage, surgery status, adjuvant radiotherapy status, adjuvant chemotherapy status, and log odds of positive lymph nodes are prognostic factors for CSD, and age at diagnosis, year of diagnosis, sex, pathological grade, tumor size, AJCC-8 stage, surgery status, adjuvant radiotherapy status, and lymph node ratio are prognostic factors for DOC. The 1-year, 3-year, and 5-year concordance indexes in the validation cohorts were 0.942, 0.931, and 0.913 for the CSD nomogram and 0.813, 0.746, and 0.776 for the DOC nomogram. The calibration plots showed good consistency in both nomograms. Conclusions: Our nomograms can be used as a tool to help clinicians individually predict the probability of CSD and DOC in DTC patients at 1 year, 3 years, and 5 years, which has certain guiding value in clinical applications.

Indexed as

NomogramsAge FactorsCarcinomaCause of DeathFemaleHumansMaleMiddle AgedNeoplasm GradingNeoplasm StagingProportional Hazards ModelsSEER ProgramSex FactorsThyroid NeoplasmsTime FactorsTumor Burden

Identifiers

PMID34159295
PMCPMC8211639

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