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Dataset Information

Prediction of liver disease in patients whose liver function tests have been checked in primary care: model development and validation using population-based observational cohorts.


ABSTRACT:

Objective

To derive and validate a clinical prediction model to estimate the risk of liver disease diagnosis following liver function tests (LFTs) and to convert the model to a simplified scoring tool for use in primary care.

Design

Population-based observational cohort study of patients in Tayside Scotland identified as having their LFTs performed in primary care and followed for 2 years. Biochemistry data were linked to secondary care, prescriptions and mortality data to ascertain baseline characteristics of the derivation cohort. A separate validation cohort was obtained from 19 general practices across the rest of Scotland to externally validate the final model.

Setting

Primary care, Tayside, Scotland.

Participants

Derivation cohort: LFT results from 310 51

SUBMITTER: McLernon DJ 

PROVIDER: S-EPMC4054629 | biostudies-literature | 2014 Jun

REPOSITORIES: biostudies-literature