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Dataset Information

A clinical prediction model to assess risk for pancreatic cancer among patients with prediabetes.


ABSTRACT:

Background

Early detection of pancreatic ductal adenocarcinoma (PDA) may improve survival. We previously developed a clinical prediction model among patients with new-onset diabetes to help identify PDAs 6 months prior to the clinical diagnosis of the cancer. We developed and internally validated a new model to predict PDA risk among those newly diagnosed with impaired fasting glucose (IFG).

Methods

We conducted a retrospective cohort study in The Health Improvement Network (THIN) (1995-2013) from the UK. Eligible study patients had newly diagnosed IFG during follow-up in THIN. The outcome was incident PDA diagnosed within 3 years of IFG diagnosis. Candidate predictors were factors associated with PDA, glucose metabolism or both.

Results

Among the 138 232 eligible pat

SUBMITTER: Boursi B 

PROVIDER: S-EPMC8286263 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature