Evidence map›Paper›PMID 31064743›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2019

Availability and use of cancer decision-support tools: a cross-sectional survey of UK primary care.

Sarah Price, Anne Spencer, Antonieta Medina-Lara, Willie Hamilton

Open access · hybridAbstract read
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 6 pooled it
2.1field-weighted citation impact, top 11% of its field
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

38 citing papers in PubMed, 6 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Why aren't they used? Systematic review of barriers to implementation of clinical decision support systems for early cancer detection in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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  6. Understanding the role of GPs' gut feelings in diagnosing cancer in primary care: a systematic review and meta-analysis of existing evidence.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
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  10. What matters most may be workflow, not cancer type.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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  20. Patient preferences for investigating cancer-related symptoms in Australian general practice: a discrete-choice experiment.The British journal of general practice : the journal of the Royal College of General Practitioners · 2024
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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

4 authors at 1 institution in 1 country.

Sarah PriceCancer Diagnosis (DISCO) Group, Institute of Health Research, College of Medicine and Health, University of Exeter, Exeter.
Anne SpencerInstitute of Health Research, College of Medicine and Health, University of Exeter, Exeter.
Antonieta Medina-LaraInstitute of Health Research, College of Medicine and Health, University of Exeter, Exeter.
Willie HamiltonCancer Diagnosis (DISCO) Group, Institute of Health Research, College of Medicine and Health, University of Exeter, Exeter.
University of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecision-support tools quantify the risk of undiagnosed cancer in symptomatic patients, and may help GPs when making referrals.

aimTo quantify the availability and use of cancer decision-support tools (QCancer DESIGN AND

settingA cross-sectional postal survey in UK primary care.

methodsOut of 975 UK randomly selected general practices, 4600 GPs and registrars were invited to participate. Outcome measures included the proportions of UK general practices where cancer decision-support tools are available and at least one GP uses the tool. Weighted least-squares linear regression with robust errors tested the association between tool availability and number of 2WW referrals, adjusting for practice size, sex, age, and Index of Multiple Deprivation.

resultsIn total, 476 GPs in 227 practices responded (response rates: practitioner, 10.3%; practice, 23.3%). At the practice level, 83/227 (36.6%, 95% confidence interval [CI] = 30.3 to 43.1) practices had at least one GP or registrar with access to cancer decision-support tools. Tools were available and likely to be used in 38/227 (16.7%, 95% CI = 12.1 to 22.2) practices. In subgroup analyses of 172 English practices, there was no difference in mean 2WW referral rate between practices with tools and those without (mean adjusted difference in referrals per 100 000: 3.1, 95% CI = -5.5 to 11.7).

conclusionThis is the first survey of cancer decision-support tool availability and use. It suggests that the tools are an underused resource in the UK. Given the cost of cancer investigation, a randomised controlled trial of such clinical decision-support aids would be appropriate.

Indexed as

Primary Health CareReferral and ConsultationCross-Sectional StudiesDecision Support Systems, ClinicalEarly Detection of CancerGeneral PractitionersHumansLeast-Squares AnalysisLinear ModelsNeoplasmsSurveys and QuestionnairesTime FactorsUnited Kingdomcomputer-assisted decision makingcross-sectional surveydecision support systemsearly detection of cancerprimary health care

Identifiers

PMID31064743
PMCPMC6592323
OpenAlexW2910044313

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.