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Dataset Information

Development and validation of a nomogram for predicting survival in patients with surgically resected lung invasive mucinous adenocarcinoma.


ABSTRACT:

Background

Lung invasive mucinous adenocarcinoma (LIMA) is a unique and rare subtype of lung adenocarcinoma. We identified prognostic factors and developed a nomogram for predicting overall survival (OS) in LIMA patients after surgery.

Methods

Patients diagnosed with LIMA between 2008 and 2016 from the Surveillance, Epidemiology, and End Results (SEER) database were randomized into training (n=1,254) and test (n=538) cohorts. A nomogram was established using the prognostic signature from the training cohort after multivariable Cox regression analysis. We externally validated the nomogram in a group of 369 patients from China. We separately tested for accuracy and clinical practicability using Harrell's concordance-index (C-index), calibration plots, and decision curve analys

SUBMITTER: Zhang G 

PROVIDER: S-EPMC8743532 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature