Evidence map›Paper›PMID 40400928›Full record

ArticleJournal of thoracic disease2025

Establishment of a prognostic nomogram for evaluating non-adjuvant therapy in patients with stage I to III esophageal cancer: a population-based study.

Guanglei Zhang, Yan Zhang, Shu Chen, Hang Guo, Xiao Qi, Baofeng Li, Jincheng Wang, Chunguang Wang

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Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Guanglei ZhangDepartment of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.
Yan ZhangDepartment of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.
Shu ChenDepartment of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.
Hang GuoDepartment of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.
Xiao QiDepartment of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.
Baofeng LiDepartment of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.
Jincheng WangDepartment of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.
Chunguang WangDepartment of Thoracic Surgery, Second Hospital Affiliated of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: According to reports from China, esophageal cancer ranked sixth in terms of morbidity and accounted for 6.26% of all cancer cases in China. This study aimed to establish an effective prognostic nomogram for non-adjuvant therapy in patients with stage I to III esophageal cancer. Methods: We took up cases from 2010 to 2015 from the Surveillance, Epidemiology, and End Results (SEER) database and used R language software to perform Kaplan-Meier survival curve and multivariate Cox regression analysis. Furthermore, we established the nomogram for non-adjuvant therapy patients with stage I to III esophageal cancer to predict 3- and 5-year esophageal cancer-specific survival rate. The prognostic ability of the nomogram was assessed using the C-index, area under the receiver operating characteristic (ROC) curve, and calibration chart. Results: The esophageal cancer-specific survival rate of cancer in the lower third of the esophagus was significantly higher than that of cancers in the upper-third of the esophagus as per the Kaplan-Meier curve. Based on the multivariate Cox regression analysis, sub variables such as advanced age, stage II and III, squamous cell carcinoma, moderately differentiated (grade II), poorly differentiated (grade III), and undifferentiated (grade IV) cancer significantly increased risk of prognosis in all patients. With a total of 150 points in the nomogram, the 3- and 5-year esophageal cancer-specific survival rates were 50% and 40% respectively. The value of C-index of this model was 0.851 and the value of the area under receiver operating curve projected 1-, 3-, and 5-year esophageal cancer-specific survival rates of 0.884, 0.874, and 0.856, respectively. Conclusions: The established nomogram had good prediction ability for non-adjuvant therapy patients with stage I to III esophageal cancer.

Indexed as

Esophageal cancerindependent prognostic factorssurgical managementSurveillance, Epidemiology, and End Results database (SEER database)survival analysis

Identifiers

PMID40400928
PMCPMC12090151

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