Evidence map›Paper›PMID 42032201›Full record

ArticleBritish journal of cancer2026

Modelled impact of a multi-cancer early detection screening programme on cancer treatment in England.

Libby Ellis, Charlotte Eversfield, Ewan Gray, Peter S Hall, Sara Hiom, David A Jones, Lennard Yw Lee, Sean McPhail, Katie Spencer, Christopher Halloran

Abstract read
In one paragraph

Article in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Libby EllisGRAIL Bio UK Ltd, London, UK. eellis@grailbio.com.
Charlotte EversfieldNational Disease Registration Service, NHS England, London, UK.
Ewan GrayGRAIL Bio UK Ltd, London, UK.
Peter S HallUniversity of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-6015-7841
Sara HiomGRAIL Bio UK Ltd, London, UK.
David A JonesGRAIL Bio UK Ltd, London, UK.
Lennard Yw LeeUniversity of Oxford, Oxford, UK.
Sean McPhailNational Disease Registration Service, NHS England, London, UK.
Katie SpencerNational Disease Registration Service, NHS England, London, UK.
Christopher HalloranUniversity of Liverpool, Liverpool, UK.ORCID http://orcid.org/0000-0002-5471-4178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer screening can reduce late-stage diagnoses, expand treatment options, and improve cancer outcomes. We modelled how introducing a multi-cancer early detection (MCED) screening programme in England could impact cancer treatment patterns.

methodsThe proportions of cancers (19 types, diagnosed 2014-2019) treated with resection, radiotherapy, and systemic anti-cancer therapy (SACT) were applied to modelled stage-specific cancer incidence data with and without addition of MCED screening to existing screening. We modelled an initial screening round (first screen for individuals aged 50-79 years) and a steady-state programme (annual screening from age 50-79 years).

resultsAssuming test parameters are accurate, if MCED screening is introduced in England, more cancers would require resection compared with current annual usage (steady-state: +8900, +10.0%). The number of cancers receiving radiotherapy would decrease overall (-1200; -2.0%) due to a decrease in palliative radiotherapy (-2100; -23.0%); the number of cancers treated with curative radiotherapy would increase slightly (+932; +2.1%). Fewer cancers would receive cytotoxic chemotherapy (-5300, -9.8%) and non-cytotoxic SACT (-530, -12.2%). Increased use of curative treatment combinations is also predicted.

conclusionsChanges to future service delivery and workforce planning will be needed for the full benefits of an MCED screening programme to be realised.

Indexed as

Early Detection of CancerNeoplasmsAgedEnglandFemaleHumansMaleMass ScreeningMiddle Aged

Identifiers

PMID42032201
PMCPMC13310839

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