2023
DOI: 10.1002/ijc.34520
|View full text |Cite
|
Sign up to set email alerts
|

Time‐varying association of second primary malignancy and long‐term survival outcomes in patients with head and neck cancer

Abstract: A high risk of developing second primary malignancy (SPM) has been reported among head and neck cancer patients. Here, we aimed to statistically quantify the impact of SPM development on the survival of head and neck cancer patients. Our study was conducted using the Surveillance, Epidemiology and End Results database to collect the data of 48 316 patients who received curative surgical resection for initial primary head and neck squamous cell carcinoma (IP-HNSCC) in 1975 to 2019. SPM diagnosis was treated as … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
1
1

Relationship

1
1

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 34 publications
0
1
0
Order By: Relevance
“…In this study, extensive analysis was conducted to determine the prognostic factors in patients diagnosed with T1–T2 SGSCC. In contrast to studies that used the SEER database to analyze head and neck diseases and other systemic diseases [ 17 , 18 ], this study was conducted using both the SEER database and similar cases from the First Affiliated Hospital of Xinjiang Medical University. Subsequently, a nomogram predictive model for prognosis was developed using multivariate and univariate Cox regression analysis.…”
Section: Discussionmentioning
confidence: 99%
“…In this study, extensive analysis was conducted to determine the prognostic factors in patients diagnosed with T1–T2 SGSCC. In contrast to studies that used the SEER database to analyze head and neck diseases and other systemic diseases [ 17 , 18 ], this study was conducted using both the SEER database and similar cases from the First Affiliated Hospital of Xinjiang Medical University. Subsequently, a nomogram predictive model for prognosis was developed using multivariate and univariate Cox regression analysis.…”
Section: Discussionmentioning
confidence: 99%