1 Jul 2022Article
10-years mortality risk estimation for gastric cancer patients based on clinicopathological factors
Cemil Yüksel 1Batuhan Bakırarar 2Serdar Çulcu 1Ogün Erşen 3Ali Ünal 3Salim Demirci 3
Affiliations
Article Info
1 Department of Surgical Oncology, Health Science University Ankara A.Y. Oncology Training and Research Hospital, Yenimahalle, Ankara, Turkey
2 Department of Biostatiscis Ankara University School of Medicine, Ankara, Turkey
3 Department of Surgical Oncology, Ankara University School of Medicine, Ankara, Turkey
Ann. Ital. Chir., 2022, 93(4), 463-469;
Published: 1 Jul 2022
Copyright © 2022 Annali Italiani di Chirurgia
This work is licensed under a Creative Commons Attribution 4.0 International License.
Abstract
AIM: In order to create a nomogram for the gastric cancer no comprehensive study has been performed in Turkey so far and in our study, we tried to forecast the 10-year survival by using risk factors in patients without distant metastasis, who have not previously been diagnosed with another cancer but who underwent curative surgery. MATERIAL METHOD: The data of 411 patients who underwent gastrectomy for gastric cancer between January 2010 and January 2020 in Surgical Oncology Department were retrospectively examined. RESULTS: It has been shown statistically that the high RDW value point to poor survival (p <0.001). There were 173 patients with ≤3.5g/dl and 238 patients with> 3.5g/dl. It was found out statistically significant that hypoalbuminemia indicated poor survival (p <0.001). Moreover, it was determined that high CEA and Ca19-9 with lymphovascular invasion were to be statistically significant with prognosis (p <0.001). On the based of all this data, we have created a dekstop application for the mortality estimation. CONCLUSION: We think that this model will ensure individualization of the treatment for patients and will contribute to the patient’s compliance with the treatment by strengthening the communication between the physician.
Keywords
- Gastric cancer
- Gastrectomy
- Survival analysis
- Prognosis