دورية أكاديمية

Epidemiology and prognostic nomogram for locally advanced gastric signet ring cell carcinoma: A population-based study.

التفاصيل البيبلوغرافية
العنوان: Epidemiology and prognostic nomogram for locally advanced gastric signet ring cell carcinoma: A population-based study.
المؤلفون: Yu ZH; Health Science Center, The First Affiliated Hospital of Ningbo University, Ningbo 315000, Zhejiang Province, China.; Health Science Center, Ningbo University, Ningbo 315211, Zhejiang Province, China., Zhang LM; Health Science Center, Ningbo University, Ningbo 315211, Zhejiang Province, China., Dai ZQ; Health Science Center, The First Affiliated Hospital of Ningbo University, Ningbo 315000, Zhejiang Province, China.; Health Science Center, Ningbo University, Ningbo 315211, Zhejiang Province, China., Zhang MN; Health Science Center, The First Affiliated Hospital of Ningbo University, Ningbo 315000, Zhejiang Province, China.; College of Medicine, The First Affiliated Hospital of Zhejiang University, Hangzhou 310058, Zhejiang Province, China., Zheng SM; Health Science Center, The First Affiliated Hospital of Ningbo University, Ningbo 315000, Zhejiang Province, China. 29010921@qq.com.
المصدر: World journal of gastrointestinal oncology [World J Gastrointest Oncol] 2024 Jun 15; Vol. 16 (6), pp. 2610-2630.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Baishideng Publishing Group Country of Publication: China NLM ID: 101532470 Publication Model: Print Cited Medium: Print ISSN: 1948-5204 (Print) NLM ISO Abbreviation: World J Gastrointest Oncol Subsets: PubMed not MEDLINE
أسماء مطبوعة: Publication: 2014- : Pleasanton, CA : Baishideng Publishing Group
Original Publication: Beijing, China : Baishideng
مستخلص: Background: Gastric signet ring cell carcinoma (GSRC) represents a specific subtype of gastric cancer renowned for its contentious epidemiological features, treatment principles, and prognostic factors.
Aim: To investigate the epidemiology of GSRC and establish an improved model for predicting the prognosis of patients with locally advanced GSRC (LAGSRC) after surgery.
Methods: The annual rates of GSRC incidence and mortality, covering the years 1975 to 2019, were extracted from the Surveillance, Epidemiology, and End Results (SEER) database to explore the temporal trends in both disease incidence and mortality rates using Joinpoint software. The clinical data of 3793 postoperative LAGSRC patients were collected from the SEER database for the analysis of survival rates. The Cox regression model was used to explore the independent prognostic factors for overall survival (OS). The risk factors extracted were used to establish a prognostic nomogram.
Results: The overall incidence of GSRC increased dramatically between 1975 and 1998, followed by a significant downward trend in incidence after 1998. In recent years, there has been a similarly optimistic trend in GSRC mortality rates. The trend in GSRC showed discrepancies based on age and sex. Receiver operating characteristic curves, calibration curves, and decision curve analysis for 1-year, 3-year, and 5-year OS demonstrated the high discriminative ability and clinical utility of this nomogram. The area under the curve indicated that the performance of the new model outperformed that of the pathological staging system.
Conclusion: The model we established can aid clinicians in the early prognostication of LAGSRC patients, resulting in improved clinical outcomes by modifying management strategies and patient health care.
Competing Interests: Conflict-of-interest statement: Dr. Zheng has nothing to disclose.
(©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)
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فهرسة مساهمة: Keywords: Adjuvant chemotherapy; Epidemiology; Locally advanced gastric cancer; Nomogram; Overall survival; Signet ring cell carcinoma
تواريخ الأحداث: Date Created: 20240712 Latest Revision: 20240714
رمز التحديث: 20240714
مُعرف محوري في PubMed: PMC11236255
DOI: 10.4251/wjgo.v16.i6.2610
PMID: 38994168
قاعدة البيانات: MEDLINE
الوصف
تدمد:1948-5204
DOI:10.4251/wjgo.v16.i6.2610