Decision Support Tool for Managing Abnormal Liver Function Tests
Author Information
Author(s): Donnan Peter T, McLernon David, Steinke Douglas, Ryder Stephen, Roderick Paul, Sullivan Frank M, Rosenberg William, Dillon John F
Primary Institution: University of Dundee
Hypothesis
What is the natural history of abnormalities in liver function tests before overt liver disease presents in the population?
Conclusion
The study aims to identify patients who require minimal further investigations, potentially reducing NHS costs.
Supporting Evidence
- The study will utilize the ELDIT database to determine outcomes of liver disease.
- Approximately 25% of patients with abnormal liver function tests are dead within a year.
- The study aims to reduce unnecessary investigations and costs for the NHS.
Takeaway
This study looks at how to help doctors decide what to do when a liver test shows something unusual, so they can avoid unnecessary tests and costs.
Methodology
A population-based retrospective cohort study will follow up patients with abnormal liver function tests over 15 years.
Potential Biases
Potential bias due to missing data from some peripheral hospitals.
Limitations
The study may not account for all patients with liver disease who were not included in the initial tests.
Participant Demographics
Patients registered with a GP in Tayside, Scotland, with no clinical signs of liver disease.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website