Development and validation of survival nomograms for patients with anaplastic thyroid carcinoma: a SEER program-based study
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View abstract on PubMed
Summary
This summary is machine-generated.This study identified key prognostic factors for anaplastic thyroid carcinoma (ATC) and developed a predictive model. The model aids clinicians in assessing ATC patient survival and personalizing treatment strategies.
Area Of Science
- Oncology
- Medical Statistics
- Clinical Research
Background
- Anaplastic thyroid carcinoma (ATC) is an aggressive thyroid cancer with poor prognosis.
- Identifying prognostic risk factors is crucial for improving patient survival outcomes.
- A robust clinical prognostic model is needed for ATC patient management.
Purpose Of The Study
- To investigate prognostic risk factors for anaplastic thyroid carcinoma (ATC).
- To develop a clinical prognostic model for ATC.
- To evaluate the survival outcomes of ATC patients using the developed model.
Main Methods
- Utilized data from 713 anaplastic thyroid carcinoma (ATC) patients from the SEER database (2000-2019).
- Employed univariate and LASSO regression analyses to identify independent prognostic factors.
- Constructed and validated a nomogram-based prognostic model using training and validation cohorts.
Main Results
- Identified age, marital status, race, tumor size, lesion location, surgery, radiotherapy, and chemotherapy as significant prognostic factors for ATC.
- The developed nomogram demonstrated good predictive accuracy and discriminative ability (C-index: 0.708 in training, 0.677 in validation).
- Calibration curves confirmed strong consistency between predicted and actual survival rates for ATC patients.
Conclusions
- A reliable survival prediction model for anaplastic thyroid carcinoma (ATC) has been established.
- This model can assist clinicians in predicting ATC patient prognosis.
- The model supports personalized treatment decisions for anaplastic thyroid carcinoma patients.
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