Comparison of staging systems in gastric carcinoma
| Autor: | Ihsan Gunduz, Aziz Ahmet Surel, Türker Acehan, Nazim Coskun, Ali Alemdar |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Oncology
medicine.medical_specialty business.industry Concordance Carcinoma Cancer Context (language use) General Medicine TNM staging system Nomogram medicine.disease Prognosis Spearman's rank correlation coefficient medicine.anatomical_structure Stomach Neoplasms Internal medicine Lymphatic Metastasis medicine Humans Stage (cooking) business Lymph node Neoplasm Staging Retrospective Studies |
| Zdroj: | International journal of clinical practiceREFERENCES. 75(11) |
| ISSN: | 1742-1241 |
| Popis: | Aim Gastric carcinoma is one of the most frequent cancers and leading causes of cancer-related death worldwide. Treatment strategies are planned according to the Tumour-Node-Metastasis (TNM) stage of the disease. However, the prognosis varies substantially even within the same stage. Prognostic nomograms were designed to overcome this diversity. In this study, staging systems and prognostic tools are compared in the context of their ability to predict patients' prognosis. Methods Records of 391 patients operated for gastric cancer from January 2006 to September 2013 were analysed retrospectively. TNM staging system, Metastatic lymph node ratio (LNR), Kattan Prognostic Tool and Prognostic Tool of Italian Research Group on Gastric Cancer (GIRCG) were compared with the patients' survival times by their concordance indices and correlation coefficients. Results A total of 343 patients were included in the study. Concordance indices of the compared staging systems were 0.678 for TNM, 0.601 for GIRCG scale, 0.646 for LNR stage and 0.680 for Kattan scale. Pearson correlation coefficients were 0.404 for TNM staging, 0.314 for GIRCG scale, 0.304 for LNR stage and -0.406 for Kattan scale. Spearman correlation coefficients were 0.383, 0.311, 0.310 and -0.400 respectively. Conclusion Based on these results, Kattan prognostic scale was found to be the most accurate system for predicting mortality. This was followed by TNM staging system. |
| Databáze: | OpenAIRE |
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