Evidence map›Paper›PMID 40115079›Full record

ReviewThe Lancet regional health. Europe2025

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

Sarah Underwood, Emre Oguzman, Judith Cole, Raphael Goldacre, Nileema Patel, David Davies, Claire Friedemann-Smith, F Lucy Wright, Ben Lacey, Brian D Nicholson and 3 more

Abstract readReview
In one paragraph

Review in The Lancet regional health. Europe, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sarah UnderwoodApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
Emre OguzmanApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
Judith ColeApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
Raphael GoldacreApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
Nileema PatelApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
David DaviesApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
Claire Friedemann-SmithCancer Theme, Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
F Lucy WrightApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
Ben LaceyApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
Brian D NicholsonCancer Theme, Nuffield Department of Primary Care Health Sciences, University of Oxford, UK.
Sasha ShepperdApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.
Mark LawlerPatrick G Johnston Centre for Cancer Research, Queens University Belfast, Belfast, UK.
Eva J A MorrisApplied Health Research Unit, Big Data Institute, Nuffield Department of Population Health, University of Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

CancerInequalityInequity

Identifiers

PMID40115079
PMCPMC11925185

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.