Evidence map›Paper›PMID 38702436›Full record

ArticleBritish journal of cancer2024

Predicting the risk of pancreatic cancer in adults with new-onset diabetes: development and internal-external validation of a clinical risk prediction model.

Ash Kieran Clift, Pui San Tan, Martina Patone, Weiqi Liao, Carol Coupland, Rachael Bashford-Rogers, Shivan Sivakumar, Julia Hippisley-Cox

Registry-linked trialAbstract readValidation Study
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07723781 (PANCATCH-Pilot), which is not on this map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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.

NCT07723781 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

PANCATCH-Pilot: Structured Early Detection of Pancreatic Ductal Adenocarcinoma in Swiss Primary Care - A Prospective Feasibility Study of a Case-Finding Pathway in the Canton of Zurich

TypeobservationalSponsorSaskia HendrichRan2026 to 2030Enrolled50ConditionsPancreatic Adenocarcinoma (Ductal Adenocarcinoma), Early Detection of CancerArmsStructured case-finding pathway (MRI/MRCP + PancreaSure biomarker assay)
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
  6. Prediagnostic prescription patterns in pancreatic cancer: a retrospective primary care cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
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  10. Observational
  11. Review
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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

8 authors.

Ash Kieran Clift *Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID 0000-0002-0061-979X
Pui San Tan *Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Martina PatoneNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Weiqi LiaoNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Carol CouplandNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Rachael Bashford-RogersWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Shivan SivakumarInstitute of Immunology and Immunotherapy, Birmingham Medical School, Birmingham, UK.
Julia Hippisley-CoxNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. julia.hippisley-cox@phc.ox.ac.uk.ORCID 0000-0002-2479-7283

Funding

Cancer Research UKPancreatic Cancer UK RIF2021
6 · The paper itself

Abstract

backgroundThe National Institute for Health and Care Excellence (NICE) recommends that people aged 60+ years with newly diagnosed diabetes and weight loss undergo abdominal imaging to assess for pancreatic cancer. More nuanced stratification could lead to enrichment of these referral pathways.

methodsPopulation-based cohort study of adults aged 30-85 years at type 2 diabetes diagnosis (2010-2021) using the QResearch primary care database in England linked to secondary care data, the national cancer registry and mortality registers. Clinical prediction models were developed to estimate risks of pancreatic cancer diagnosis within 2 years and evaluated using internal-external cross-validation.

resultsSeven hundred and sixty-seven of 253,766 individuals were diagnosed with pancreatic cancer within 2 years. Models included age, sex, BMI, prior venous thromboembolism, digoxin prescription, HbA1c, ALT, creatinine, haemoglobin, platelet count; and the presence of abdominal pain, weight loss, jaundice, heartburn, indigestion or nausea (previous 6 months). The Cox model had the highest discrimination (Harrell's C-index 0.802 (95% CI: 0.797-0.817)), the highest clinical utility, and was well calibrated. The model's highest 1% of predicted risks captured 12.51% of pancreatic cancer cases. NICE guidance had 3.95% sensitivity. DISCUSSION: A new prediction model could have clinical utility in identifying individuals with recent onset diabetes suitable for fast-track abdominal imaging.

Indexed as

Diabetes Mellitus, Type 2Pancreatic NeoplasmsAdultAgedAged, 80 and overCohort StudiesEnglandFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk AssessmentRisk Factors

Identifiers

PMID38702436
PMCPMC11183048

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Registered trials

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.