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Research · 02 of 05

New-onset diabetes after 50: the ENDPAC score as a pancreatic cancer flag

Treat new diabetes after 50 with weight loss as a possible pancreatic cancer signal and ask about red-flag symptoms, rather than imaging everyone.

Design
Retrospective cohort, external validation in a national primary care network
Population
70,050 adults aged 50 or over with new-onset diabetes in England
Primary outcome
Discrimination and accuracy of ENDPAC for pancreatic cancer
Effect
AUC 0.734; at ≥3: sensitivity 62.6%, specificity 72.5%, PPV 0.6%

ENDPAC combines weight change, change in glycaemic control and age at diabetes onset to flag new-onset diabetes that may be caused by pancreatic cancer. This BJGP study validated it in an English primary care sentinel network, in 70,050 adults aged 50 or over with new-onset diabetes.

185 (0.26%) went on to develop pancreatic cancer; they were older, had higher HbA1c and more weight loss at diagnosis. The score's area under the curve was 0.73. A cut-off of 3 or more labelled 27.8% of patients high risk, catching 62.6% of cancers, with a specificity of 72.5%, positive predictive value of 0.6% and negative predictive value of 99.9%.

The positive predictive value is too low to send everyone flagged for imaging. Its value is as a first filter in a stepped pathway, and as a prompt: diabetes that arrives after 50 with weight loss rather than weight gain is not the usual type 2 story.

  • Ask about weight loss in anyone over 50 diagnosed with new diabetes.
  • Be suspicious when new diabetes comes with weight loss rather than gain.
  • Look for abdominal or back pain, jaundice or steatorrhoea alongside new-onset diabetes.
  • Do not image every flagged patient; the positive predictive value is under 1%.

Why it matters

New diabetes is common and pancreatic cancer is rare, so primary care needs a way to tell the unusual case apart.

Don't overread it

A validation of a risk score, not evidence that using it saves lives.

The statistics, in plain English

An area under the curve of 0.73 means the score ranks a future cancer above a non-cancer patient about three times in four. A positive predictive value of 0.6% means about 1 in 170 flagged patients will have cancer. The 99.9% negative predictive value mostly reflects how rare the cancer is.

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