Dynamic estimates of survival of patients with poorly differentiated thyroid carcinoma: a population-based study

This was the first study to analyze the CS pattern and demonstrate a gradual improvement in CS over time in long-term PDTC survivors. We then successfully developed and validated a novel CS-nomogram for individualized, dynamic, and real-time survival forecasting, empowering clinicians to adapt and refine the patient-tailored treatment strategy promptly with consideration of evolving risks.

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Publication Details

Journal
Frontiers in Endocrinology
Published
2024-09-13
DOI
https://doi.org/10.3389/fendo.2024.1375274
Citations
3
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.70
Controls
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article

Dynamic estimates of survival of patients with poorly differentiated thyroid carcinoma: a population-based study

Miaofeng Wang, Heng Xia, Qianlan Xu, Zhao Liu
3 citations
Frontiers in Endocrinology
Bioinformatics and Genomic Networks
0.70
article

Dynamic estimates of survival of patients with poorly differentiated thyroid carcinoma: a population-based study

Miaofeng Wang, Heng Xia, Qianlan Xu, Zhao Liu
article en
3 citations

Abstract

This was the first study to analyze the CS pattern and demonstrate a gradual improvement in CS over time in long-term PDTC survivors. We then successfully developed and validated a novel CS-nomogram for individualized, dynamic, and real-time survival forecasting, empowering clinicians to adapt and refine the patient-tailored treatment strategy promptly with consideration of evolving risks.

Frontiers in EndocrinologyVol. 15
Xian Central Hospital (CN), Shaoxing People's Hospital (CN)
Openalex Percentile: Top 30%
Bioinformatics and Genomic Networks
0.70
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