Joint Disease Mapping of Six Cancers in Yorkshire
Author Information
Author(s): Amy Downing, David Forman, Mark S. Gilthorpe, Kimberley L. Edwards, Samuel O. Manda
Primary Institution: University of Leeds
Hypothesis
Can joint disease mapping improve the understanding of cancer incidence rates and their spatial correlation in the Yorkshire region?
Conclusion
The study shows that joint disease modelling can provide more precise incidence estimates for multiple cancers and help evaluate healthcare performance.
Supporting Evidence
- The incidence of lung cancer was most impacted by adjustment for socioeconomic background.
- Joint modelling showed a significant improvement in the fit compared to individual models.
- Shared components analysis indicated that smoking had a larger effect on lung cancer incidence.
Takeaway
This study looked at how six types of cancer are spread out in Yorkshire and found that using a special method can help us understand the patterns better.
Methodology
Data on cancer incidence from 1983 to 2003 was analyzed using a Bayesian shared-component model to assess spatial correlations and shared risk factors.
Potential Biases
Potential bias from missing data on neighboring wards and confounding factors.
Limitations
The study may suffer from over- or under-estimation due to edge effects and missing data for wards bordering other regions.
Participant Demographics
The total population of the Yorkshire region in 1991 was 3,676,305 persons.
Statistical Information
Confidence Interval
95% CI
Digital Object Identifier (DOI)
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