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Journal article : Review

Cancer inequalities in the United Kingdom and the data used to measure them: a scoping review

Abstract:

Significant cancer inequalities may exist across the United Kingdom (UK). Data are required to delineate and quantify these inequalities. This scoping review was undertaken to map the research evidence on UK cancer inequalities and determine the current data available, and the data gaps, that, if filled, could inform a strategy to reduce them. 444 studies were included. Their distribution across inequality domains, care pathways and cancer sites was uneven. The majority of studies were based on administrative datasets, notably cancer registry data, with a wide-range of methods used to define inequality groups. No UK-wide population-based evidence was identified. The landscape of data available in the UK to study cancer inequalities is uneven. Although there is a large volume of evidence available, there remain major gaps in both the data available and the knowledge base they are deployed to generate. This deficit needs to be addressed as a matter of urgency.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.lanepe.2025.101246

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Big Data Institute - NDPH
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Clinical Trial Service Unit
Role:
Author
ORCID:
0009-0007-2506-3293
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Big Data Institute - NDPH
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Population Health
Role:
Author
ORCID:
0000-0002-7393-1880
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Nuffield Department of Population Health
Sub department:
Big Data Institute - NDPH
Role:
Author


More from this funder
Funder identifier:
https://ror.org/02qa92s63


Publisher:
Elsevier
Journal:
Lancet Regional Health Europe More from this journal
Volume:
52
Article number:
101246
Publication date:
2025-03-03
Acceptance date:
2025-02-14
DOI:
EISSN:
2666-7762
Pmid:
40115079


Language:
English
Keywords:
Subtype:
Review
Pubs id:
2093526
Local pid:
pubs:2093526
Deposit date:
2025-05-07
ARK identifier:

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