Evidence map›Paper›PMID 41494778›Full record

ArticleThe British journal of general practice : the journal of the Royal College of General Practitioners2026

Decision support tools for pancreatic cancer detection: external validation in Australian primary care - a retrospective cohort study.

Silja Schrader, Meena Rafiq, Javiera Martinez-Gutierrez, Mary Waterhouse, Belinda Lee, Rachel E Neale, Jon Emery

Abstract readValidation Study
In one paragraph

Article in The British journal of general practice : the journal of the Royal College of General Practitioners, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Pancreatic protocol CT awareness.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    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

7 authors.

Silja SchraderCentre for Cancer Research and Department of General Practice and Primary Care, University of Melbourne, Melbourne, Australia.ORCID 0000-0003-1776-6152
Meena RafiqCentre for Cancer Research and Department of General Practice and Primary Care, University of Melbourne, Melbourne, Australia meena.rafiq@unimelb.edu.au.ORCID 0000-0002-1837-1542
Javiera Martinez-GutierrezCentre for Cancer Research and Department of General Practice and Primary Care, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-2493-9974
Mary WaterhousePopulation Health Program, QIMR Berghofer, Brisbane, Australia.ORCID 0000-0003-3313-6919
Belinda LeeFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-0947-9834
Rachel E NealePopulation Health Program, QIMR Berghofer, Brisbane, Australia.ORCID 0000-0001-7162-0854
Jon EmeryCentre for Cancer Research and Department of General Practice and Primary Care, University of Melbourne, Melbourne, Australia.ORCID 0000-0002-5274-6336

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic cancer is often diagnosed at an advanced stage with poor survival. Risk assessment tools have been developed to aid early diagnosis of pancreatic cancer in primary care settings (QCancer

aimTo estimate and compare the performance of these tools for identifying patients with undiagnosed pancreatic cancer using Australian primary care data. DESIGN AND

settingA cohort study was conducted using linked primary care and cancer registry data from Victoria, Australia.

methodPatients presenting to primary care with signs and/or symptoms included in the tools (recorded in the primary care 'reason for encounter') were included. Diagnostic accuracy statistics for each tool (and their individual signs and symptoms) were compared.

resultsPatients with pancreatic cancer were more likely (

conclusionWhen applied to Australian primary care data, none of the tools were strongly predictive of pancreatic cancer. New diagnostic models incorporating additional data could potentially improve their predictive performance.

Indexed as

Decision Support TechniquesEarly Detection of CancerPancreatic NeoplasmsPrimary Health CareAbdominal PainAgedAustraliaFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentVictoriacohort studiesdecision support toolsgeneral practicepancreatic cancerprimary health carerisk assessment tools

Identifiers

PMID41494778
PMCPMC13060723

What OpenQuestion holds

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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.