Prognostic Factors and Competing Risk Analysis in Early-Stage Follicular Thyroid Carcinoma: A Population-Based Study

BackgroundFollicular thyroid carcinoma (FTC) behaves differently from papillary thyroid carcinoma. Although early-stage FTC generally has favorable outcomes, risk within AJCC stage I-II is not uniform, and robust evidence focusing exclusively on this group is limited.MethodsWe identified 4220 patients with AJCC stage I-II FTC in the SEER database (2010-2022). The primary endpoint was disease-specific survival (DSS). We estimated cumulative incidence functions (CIFs) for thyroid cancer-specific and other-cause mortality and evaluated prognostic factors using Fine-Gray competing-risk regression. Multivariable modeling and nomogram construction were not pursued because only one variable met significance in univariable analyses.ResultsAcross follow-up, other-cause mortality exceeded thyroid cancer-specific mortality; at ∼10 years, other-cause death was ∼6% while thyroid cancer-specific death remained <1.5%. In competing-risk regression, AJCC stage II was the sole significant predictor of thyroid cancer-specific mortality vs stage I (SHR 7.76; 95% CI 2.09-28.8; <i>P</i> = 0.002). Other demographic, tumor, and treatment variables were not significant or were non-estimable due to sparsity.ConclusionsEarly-stage FTC shows low cancer-specific mortality overall, but risk is concentrated in stage II, underscoring clinically meaningful heterogeneity within "early stage." These findings support stage-attuned counseling and follow-up and highlight the importance of competing-risk methods when interpreting outcomes in FTC.

Authors

Institutions

Publication Details

Journal
The American Surgeon
Published
2026-01-21
DOI
https://doi.org/10.1177/00031348261419769
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prognostic Factors and Competing Risk Analysis in Early-Stage Follicular Thyroid Carcinoma: A Population-Based Study

İsa Karaca, Serdar Acar, Deniz Esin Tekcan Sanli, Ahmet Necati Sanli et al.
The American Surgeon
Thyroid Cancer Diagnosis and Treatment
article

Prognostic Factors and Competing Risk Analysis in Early-Stage Follicular Thyroid Carcinoma: A Population-Based Study

İsa Karaca, Serdar Acar, Deniz Esin Tekcan Sanli, Ahmet Necati Sanli, Bilal Turan
article en

Abstract

BackgroundFollicular thyroid carcinoma (FTC) behaves differently from papillary thyroid carcinoma. Although early-stage FTC generally has favorable outcomes, risk within AJCC stage I-II is not uniform, and robust evidence focusing exclusively on this group is limited.MethodsWe identified 4220 patients with AJCC stage I-II FTC in the SEER database (2010-2022). The primary endpoint was disease-specific survival (DSS). We estimated cumulative incidence functions (CIFs) for thyroid cancer-specific and other-cause mortality and evaluated prognostic factors using Fine-Gray competing-risk regression. Multivariable modeling and nomogram construction were not pursued because only one variable met significance in univariable analyses.ResultsAcross follow-up, other-cause mortality exceeded thyroid cancer-specific mortality; at ∼10 years, other-cause death was ∼6% while thyroid cancer-specific death remained <1.5%. In competing-risk regression, AJCC stage II was the sole significant predictor of thyroid cancer-specific mortality vs stage I (SHR 7.76; 95% CI 2.09-28.8; <i>P</i> = 0.002). Other demographic, tumor, and treatment variables were not significant or were non-estimable due to sparsity.ConclusionsEarly-stage FTC shows low cancer-specific mortality overall, but risk is concentrated in stage II, underscoring clinically meaningful heterogeneity within "early stage." These findings support stage-attuned counseling and follow-up and highlight the importance of competing-risk methods when interpreting outcomes in FTC.

The American Surgeon
State Hospital (GB), Suleyman Demirel University (KZ), Gaziantep University (TR)
Good health and well-being
Openalex Percentile: Top 82%
Thyroid Cancer Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.