Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study

Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim of this study was to characterise, using descriptive statistics, the sociodemographic, risk and clinical characteristics of who develops pancreatic cancer. This retrospective cohort study examined data from one of the largest UK primary care databases, from January 1st 2006 to August 31st 2020. A total of 573 primary care practices contributed data. There were 9,267 people diagnosed with pancreatic cancer. The median age at diagnosis was 73 years (IQR 16) and 49.8% (4,616) of people were female. Nearly a third (30.2%, 2,798) of people had diabetes, and 85.8% (2,400) of the people with diabetes received the diabetes diagnosis before pancreatic cancer. For people for whom ethnicity was recorded 94.4% (5,979) were white. Under half of people with BMI recorded (41.9%, 571) were overweight or obese at pancreatic cancer diagnosis and 5.9% (80) were underweight. In addition, 12.6% (1,168) of participants were active smokers and 1.4% (130) exceeded recommended limits of alcohol. Improved characterisation of the sociodemographic, risk and clinical characteristics of who develops pancreatic cancer highlights the opportunity for machine learning and other technologies to flag people at high risk of this cancer.

Authors

Institutions

Publication Details

Journal
Studies in health technology and informatics
Published
2025-05-15
DOI
https://doi.org/10.3233/shti250563
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study

Simon de Lusignan, Freda Mold, Martyn Winn, Claire A. Price et al.
Studies in health technology and informatics
Pancreatic and Hepatic Oncology Research
article

Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study

Simon de Lusignan, Freda Mold, Martyn Winn, Claire A. Price, Nadia Smith, Agnieszka Lemańska
article en

Abstract

Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim of this study was to characterise, using descriptive statistics, the sociodemographic, risk and clinical characteristics of who develops pancreatic cancer. This retrospective cohort study examined data from one of the largest UK primary care databases, from January 1st 2006 to August 31st 2020. A total of 573 primary care practices contributed data. There were 9,267 people diagnosed with pancreatic cancer. The median age at diagnosis was 73 years (IQR 16) and 49.8% (4,616) of people were female. Nearly a third (30.2%, 2,798) of people had diabetes, and 85.8% (2,400) of the people with diabetes received the diabetes diagnosis before pancreatic cancer. For people for whom ethnicity was recorded 94.4% (5,979) were white. Under half of people with BMI recorded (41.9%, 571) were overweight or obese at pancreatic cancer diagnosis and 5.9% (80) were underweight. In addition, 12.6% (1,168) of participants were active smokers and 1.4% (130) exceeded recommended limits of alcohol. Improved characterisation of the sociodemographic, risk and clinical characteristics of who develops pancreatic cancer highlights the opportunity for machine learning and other technologies to flag people at high risk of this cancer.

Studies in health technology and informaticsVol. 327
National Physical Laboratory (GB), Science and Technology Facilities Council (GB), University of Surrey (GB), University of Oxford (GB), Royal Surrey NHS Foundation Trust (GB), TÜV SÜD (United Kingdom) (GB)
Government of the United Kingdom, Engineering and Physical Sciences Research Council, National Physical Laboratory
Good health and well-being
Openalex Percentile: Top 75%
Pancreatic and Hepatic Oncology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.