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A web-based prediction model for long-term cancer-specific survival of middle-aged patients with early-stage gastric cancer: a multi-institutional retrospective study.
Zhang, Simeng; Zheng, Longbo; Zhang, Yuxia; Gao, Yuan; Liu, Lei; Jiang, Zinian; Wang, Liang; Ma, Zheng; Wu, Jinhui; Chen, Jiansheng; Lu, Yun; Wang, Dongsheng.
Afiliación
  • Zhang S; Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Zheng L; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, 266400, Shandong, China.
  • Zhang Y; Department of Rehabilitation Pain, Shanghe County People's Hospital, Jinan, Shandong, China.
  • Gao Y; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, 266400, Shandong, China.
  • Liu L; Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Jiang Z; Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Wang L; Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Ma Z; Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Wu J; Department of Gastrointestinal Surgery, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
  • Chen J; Department of Gastrointestinal Surgery, Qingdao Municipal Hospital, Qingdao, Shandong, China.
  • Lu Y; Qingdao Medical College, Qingdao University, Qingdao, Shandong, China.
  • Wang D; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, 266400, Shandong, China.
J Cancer Res Clin Oncol ; 149(18): 16551-16561, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37712958
BACKGROUND: This study constructed and validated a prognostic model to evaluate long-term cancer-specific survival (CSS) in middle-aged patients with early gastric cancer (EGC). METHODS: We extracted clinicopathological data from relevant patients between 2004 and 2015 from Surveillance, Epidemiology, and End Results (SEER) database, and randomly divided the patients into a training group (N = 688) and a validation group (N = 292). In addition, 102 Chinese patients were enrolled for external validation. Univariate and multivariate Cox regression models were used to screen for independent prognostic factors, and a nomogram was constructed to predict CSS. We used the concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) to evaluate the predictive performance of the model. RESULTS: Univariate and multivariate COX regression analyses showed that tumor location, differentiation grade, N stage, chemotherapy, and number of regional nodes examined were independent risk factors for prognosis, and these factors were used to construct the nomogram. The C-index of the model in the training cohort, internal validation cohort, and external validation cohort was 0.749 (95% CI 0.699-0.798), 0.744 (95% CI 0.671-0.818), and 0.807 (95% CI 0.721-0.893), respectively. The calibration curve showed that the model had an excellent fit. The DCA curve showed that the model had good predictive performance and practical clinical value. CONCLUSION: This study developed and validated a new nomogram to predict CSS in middle-aged patients with EGC. The prediction model has unique and practical value and can help doctors carry out individualized treatment and judge prognosis.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Middle aged Idioma: En Revista: J Cancer Res Clin Oncol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Middle aged Idioma: En Revista: J Cancer Res Clin Oncol Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Alemania