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Dataset Information

Development of a novel nomogram for patients with SCLC and comparison with other models.


ABSTRACT:

Background

Though several nomograms have been established to predict the survival probability of patients with small-cell lung cancer (SCLC), none involved enough variables. This study aimed to construct a novel prognostic nomogram and compare its performance with other models.

Methods

Seven hundred twenty-two patients were pathologically diagnosed with SCLC in Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital Affiliated to Shanxi Medical University from January 2016 to December 2018. We input Forty-one factors by reviewing the medical records. The nomogram was constructed based on the variables identified by univariate and multivariate analyses in the training set and validated in the validat

SUBMITTER: Hou Q 

PROVIDER: S-EPMC11465591 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature