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Dataset Information

A survival prediction model for biliary tract cancer based on least absolute shrinkage and selection operator-cox regression.


ABSTRACT:

Background

Biliary tract cancer (BTC) is a digestive tract tumor with low incidence, high malignancy, and short survival times. Abnormal lipid metabolism may be related to the occurrence and development of tumors; therefore, we constructed a survival prediction model for patients with BTC using clinical data that included lipid indicators rarely considered in previous studies.

Patients and methods

Clinical and pathological data were collected from 124 patients with BTC. Patients were divided into two groups according to the inclusion time. The training and validation cohorts included 70 patients from 2017 to 2021 and 54 patients from 2022 to 2023. Least absolute shrinkage and selection operator-Cox regression analysis was conducted on the survival data. The resulting predict

SUBMITTER: Fan S 

PROVIDER: S-EPMC12409905 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature