TY - JOUR
T1 - Dynamic Prediction of Survival after Curative Resection of Gastric Adenocarcinoma
T2 - A landmarking-based analysis
AU - Spolverato, Gaya
AU - Azzolina, Danila
AU - Paro, Alessandro
AU - Lorenzoni, Giulia
AU - Gregori, Dario
AU - Poultsides, George
AU - Fields, Ryan C.
AU - Weber, Sharon M.
AU - Votanopoulos, Konstantinos
AU - Maithel, Shishir K.
AU - Pucciarelli, Salvatore
AU - Pawlik, Timothy M.
N1 - Publisher Copyright:
© 2021 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology
PY - 2022/5
Y1 - 2022/5
N2 - Background: Accurate estimation of survival and recurrence are important to inform decisions regarding therapy and surveillance. We sought to design and validate a dynamic prognostic model for patients undergoing resection for gastric adenocarcinoma. Methods: Patients who underwent curative-intent surgery for gastric adenocarcinoma between 2000 and 2020 were identified using a multi-institutional database. Landmark analysis was used to create dynamic OS and DFS prediction models. Model performance was internally cross-validated via bootstrap resampling. Results: Among 895 patients, 507 (57.2%) patients underwent partial gastrectomy (n = 507, 57.2%) while 380 (42.8%) had total gastrectomy. Median tumor size was 40 mm (IQR: 25–65), most tumors were located in the antrum (n = 344, 39.5%) and infiltrated the subserosa (T3 tumors: n = 283, 31.9%) or serosa (T4 tumors: n = 253, 28.5%); lymph node metastasis occurred in 528 (59.1%) patients. Median OS and DFS were 17.5 (IQR: 7.5–42.8) and 14.3 months (IQR: 6.5–39.9), respectively. The impact of age, sex, preoperative comorbidities, tumor size and location, extent of lymphadenectomy and total number of lymph nodes examined, Lauren class, T and N category, postoperative complications, and tumor recurrence varied over time (all p < 0.05). An online tool to predict dynamic OS and DFS based on patient survival relative to time survived was developed and made available for clinical use. Discrimination ability of OS and DFS was excellent (C-index: 0.84 and 0.86, respectively) and calibration plots revealed good prediction. Conclusions: An online dynamic prognostic tool was developed and validated to predict OS and DFS following resection of gastric adenocarcinoma. Landmark analysis to predict long-term outcomes based on follow-up time may be helpful to surgeons and patients.
AB - Background: Accurate estimation of survival and recurrence are important to inform decisions regarding therapy and surveillance. We sought to design and validate a dynamic prognostic model for patients undergoing resection for gastric adenocarcinoma. Methods: Patients who underwent curative-intent surgery for gastric adenocarcinoma between 2000 and 2020 were identified using a multi-institutional database. Landmark analysis was used to create dynamic OS and DFS prediction models. Model performance was internally cross-validated via bootstrap resampling. Results: Among 895 patients, 507 (57.2%) patients underwent partial gastrectomy (n = 507, 57.2%) while 380 (42.8%) had total gastrectomy. Median tumor size was 40 mm (IQR: 25–65), most tumors were located in the antrum (n = 344, 39.5%) and infiltrated the subserosa (T3 tumors: n = 283, 31.9%) or serosa (T4 tumors: n = 253, 28.5%); lymph node metastasis occurred in 528 (59.1%) patients. Median OS and DFS were 17.5 (IQR: 7.5–42.8) and 14.3 months (IQR: 6.5–39.9), respectively. The impact of age, sex, preoperative comorbidities, tumor size and location, extent of lymphadenectomy and total number of lymph nodes examined, Lauren class, T and N category, postoperative complications, and tumor recurrence varied over time (all p < 0.05). An online tool to predict dynamic OS and DFS based on patient survival relative to time survived was developed and made available for clinical use. Discrimination ability of OS and DFS was excellent (C-index: 0.84 and 0.86, respectively) and calibration plots revealed good prediction. Conclusions: An online dynamic prognostic tool was developed and validated to predict OS and DFS following resection of gastric adenocarcinoma. Landmark analysis to predict long-term outcomes based on follow-up time may be helpful to surgeons and patients.
KW - Oncology
KW - Outcomes
KW - Stomach
UR - http://www.scopus.com/inward/record.url?scp=85121666379&partnerID=8YFLogxK
U2 - 10.1016/j.ejso.2021.11.127
DO - 10.1016/j.ejso.2021.11.127
M3 - Article
C2 - 34895773
AN - SCOPUS:85121666379
SN - 0748-7983
VL - 48
SP - 1025
EP - 1032
JO - European Journal of Surgical Oncology
JF - European Journal of Surgical Oncology
IS - 5
ER -