ArticleJournal of cardiothoracic surgery2021
Survival risk prediction model for patients with pT
Article in Journal of cardiothoracic surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Machine learning combined with CT-based radiomics predicts the prognosis of oesophageal squamous cell carcinoma.Insights into imaging · 2025Article
- A Nomogram Model to Predict Post-Progression Survival in Esophageal Squamous Cell Carcinoma Patients With Recurrence After Radical Resection.Frontiers in oncology · 2022Article
- Efficacy and safety of camrelizumab in combination with neoadjuvant chemotherapy for ESCC and its impact on esophagectomy.Frontiers in immunology · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe overall survival (OS) remains unsatisfactory in patients with esophageal squamous cell carcinoma (ESCC) after extended esophagectomy with two-field lymphadenectomy. Therefore, this retrospective study aimed to identify the risk factors that contribute to the low survival of patients with pT
methodsPatients with pT
resultsThis study recruited a total of 488 patients, whose follow-up visits were completed at the end of December 2019. The five-year OS, DFS, RFS and LRFS rates were 62.1, 53.1, 58.3 and 65.6%, respectively. Multivariate Cox analysis identified patient age, site of the lesion, small mediastinal lymph nodes in CT imaging (SLNs in CT), dissected lymph nodes (LNs), and stage of esophageal malignancy as independent risk factors for OS of the patients. Of these factors, the site of the lesion, SLNs in CT and stage of the cancer were determined to be independent factors for DFS, RFS and LRFS. Based on all five factors, the recursive partitioning analysis (RPA) score system was developed to stratify the patients into low-, medium- and high-risk groups, which were found to possess significantly different rates of OS, DFS, RFS and LRFS (p < 0.001).
conclusionsSeveral factors were associated with the survival of patients with pT
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