Predictive and prognostic nomogram models for liver metastasis in colorectal neuroendocrine neoplasms: A large population study

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Introduction: The incidence of patients with colorectal neuroendocrine neoplasms (CRNENs) is continuously increasing. Most patients have distant metastases when diagnosed. Liver metastasis (LM) is the most common type of distant metastasis, and the prognosis is poor once LM occurs. However, there is still a lack of effective models for predicting the risk and prognosis of LM in CRNENs.

Aim(s): The aim is to estimate the risk and prognostic factors for the occurrence of LM in patients with CRNENs, and to construct metastasis and prognosis nomograms.

Materials and methods: The SEER database was used to collect clinical data from patients with CRNENs. The logistic regression analyses were conducted to identify factors associated with LM in CRNENs patients. The Cox regression analyses were performed to evaluate prognostic factors in CRNENs-LM patients. Then the diagnostic and prognostic nomogram models will be constructed based on the results of the multivariate logistic and cox analysis. The external validation cohort was used to validate the prognostic model.

Conference:

Presenting Author: Song L

Authors: Lei X, Su Y, Lei R, Zhang D, Liu Z,

Keywords: colorectal neuroendocrine neoplasm, liver metastasis, overall survival, nomogram, SEER, prognostic factor, risk factor,