Evidence map›Paper›PMID 40204315›Full record

ArticleBMJ open2025

Characterising the volume and variation of multiple urgent suspected cancer referrals in England, April 2013-March 2018: a national cohort study.

Kirstin Roberts, Nicola Cooper, Laura Webster, Ben Sharpless, Thomas Round, Carolynn Gildea, Brian D Nicholson

Abstract read
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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kirstin RobertsNational Disease Registration Service, NHS England, Leeds, UK.
Nicola CooperNational Disease Registration Service, NHS England, Leeds, UK.
Laura WebsterNational Disease Registration Service, NHS England, Leeds, UK.
Ben SharplessNational Disease Registration Service, NHS England, Leeds, UK.
Thomas RoundNational Disease Registration Service, NHS England, Leeds, UK.
Carolynn GildeaNational Disease Registration Service, NHS England, Leeds, UK carolynn.gildea@nhs.net.ORCID http://orcid.org/0000-0003-4991-5757
Brian D NicholsonDepartment of Primary Care Health Sciences, University of Oxford Nuffield Department of Primary Care Health Sciences, Oxford, UK.ORCID http://orcid.org/0000-0003-0661-7362

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo establish a methodology to categorise urgent suspected cancer (USC) referrals in England and use these categories to understand individual patient referral patterns by demographic characteristics, financial year and referral pathway.

designCross-sectional population-based cohort study.

settingFrom Cancer Waiting Times data, linked to demographic information held by the National Disease Registration Service, referral-level data on all USC referrals in England between 1 April 2013 and 31 March 2018.

participantsAfter restricting records to those with an English postcode at referral and with complete demographic information, 9 524 435 referrals were identified for 7 542 592 patients. PRIMARY AND SECONDARY OUTCOME MEASURES: USC referrals were categorised into first and subsequent USC referrals, based primarily on intervals between referral dates. Our primary outcome was to describe the distribution of referral categories by financial year, suspected cancer referral type and four demographic variables. Our secondary aim was to understand which suspected cancer referral types were found in combination within the first 4 months.

resultsDuring the study period, 7.5 million people had an USC referral, with one in five having more than one referral, with 9.5 million referrals in total. Referrals were categorised as first (91.1%) and subsequent (8.9%) USC referrals. The relative increase in the number of referrals across the study period was largest (78.2%) for subsequent USC referrals.Subsequent referrals were most common in the gynaecological (10%), lung (10%) and haematological cancer pathways (12%).Suspected lower gastrointestinal referrals were most frequently included in a pair of USC referrals; it was one of the five most common pairings for 14 out of 16 referral type pathways, contributing to 30% of upper gastrointestinal USC referral pairings.

conclusionMultiple USC referrals increased in the study period, particularly within a year of the first referral. Common referral pairings suggest opportunities for pathway reorganisation where common non-specific symptoms result in multiple USC referrals.

Indexed as

NeoplasmsReferral and ConsultationAdolescentAdultAgedAged, 80 and overCohort StudiesCross-Sectional StudiesEnglandFemaleHumansMaleMiddle AgedWaiting ListsYoung AdultEpidemiologyONCOLOGYPrimary Care

Identifiers

PMID40204315
PMCPMC11979496

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