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A New Metastatic Lymph Node Classification-based Survival Predicting Model in Patients With Small Bowel Adenocarcinoma: A Derivation and Validation Study.

Shan Wu | Jin-Nan Chen | Qing-Wei Zhang | Chao-Tao Tang | Xin-Tian Zhang | Ming-Yu Tang | Xiao-Bo Li | Zhi-Zheng Ge
EBioMedicine | 2018

Current methods of lymph node (LN) staging are controversial in predicting the survival of SBA. We aimed to develop an alternative LN-classification-based nomogram to individualize SBA prognosis.

Pubmed ID: 29908920

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Surveillance Epidemiology and End Results (tool)

RRID:SCR_006902

SEER collects cancer incidence data from population-based cancer registries covering approximately 47.9 percent of the U.S. population. The SEER registries collect data on patient demographics, primary tumor site, tumor morphology, stage at diagnosis, and first course of treatment, and they follow up with patients for vital status.There are two data products available: SEER Research and SEER Research Plus. This was motivated because of concerns about the increasing risk of re-identifiability of individuals. The Research Plus databases require more rigorous process for access that includes user authentication through Institutional Account or multiple-step request process for Non-Institutional users.

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