The University of Southampton
University of Southampton Institutional Repository

Using primary care data to report real-world pancreatic cancer survival and symptomatology

Using primary care data to report real-world pancreatic cancer survival and symptomatology
Using primary care data to report real-world pancreatic cancer survival and symptomatology
Pancreatic cancer is the 10th most common cancer diagnosed; despite recent advances in many areas of oncology, survival remains poor, in part owing to late diagnosis. Whilst primary care data are used widely for epidemiology and pharmacovigilance, they are less used for observing survival. In this study we extracted a pancreatic cancer cohort from a nationally representative English primary care database of electronic health records (EHRs) and reported on their symptom and mortality data. A total of 11, 649 cases were identified within the Oxford Royal College of General Practitioners (RCGP) Clinical Informatics Digital Hub network. All-cause mortality data was recorded for 4623 (39.69%). Mean age at recording of cancer diagnosis was 71.4 years (SD 12.0 years). 1-year and 5-year survival was 22.06% and 3.27% respectively. Within a multivariate model, age had a significant impact on survival; those diagnosed under the age of 60 had the longest survival, as compared to those age 60 – 79 (HR: 1.36, 95% CI: 1.20 – 1.54, p < 0.001) and 80+ (HR: 2.13, 95% CI: 1.86 – 2.44, p < 0.01). Symptomatology was examined; at any time point abdominal pain was the most commonly reported symptom present in 5271 cases (45.2%), but within the 12 months preceding diagnosis jaundice was the most common feature, present in 2587 patients (22.2%). Future studies clarifying other contributing factors on survival outcomes and patterns of symptomatology are needed; primary care EHRs provide an opportunity to evaluate real-world cancer patient cohort data.
0926-9630
168-172
Jeffreys, Nathan
42901de4-8561-49e7-9969-df0759ec778e
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1
Fan, Xuejuan
61d1b58d-9d14-4ffa-be60-15e192581f81
Ferreira, Filipa
87965bd3-a311-4919-bff8-bef9abd4dd42
Liyanage, Harshana
b3de9eeb-3894-4baa-8b5b-5eda875ab069
Sherlock, Julian
585d525b-40b9-452f-b80d-fb26a010db31
Williams, John
52748571-88b8-4ca1-8b35-b33f9b8a429f
Rice, Rebecca
d86269c2-79f3-4dfd-b571-d2b5bfae2288
Stunt, Ali
3fb2c4fa-45e9-4c24-953c-024e6dd472d8
Faithfull, Sara
c22abc21-5ab9-466e-909e-2fe52b924138
Gatenby, Piers
2a929e85-8811-43fc-a333-34d57d49d99b
Lemanska, Agnieszka
cd6078ab-4a62-42e1-bbbf-de66db3f34b3
de Lusignan, Simon
ff8f6923-47a6-4c8e-8f12-c0517e6e3724
Jeffreys, Nathan
42901de4-8561-49e7-9969-df0759ec778e
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1
Fan, Xuejuan
61d1b58d-9d14-4ffa-be60-15e192581f81
Ferreira, Filipa
87965bd3-a311-4919-bff8-bef9abd4dd42
Liyanage, Harshana
b3de9eeb-3894-4baa-8b5b-5eda875ab069
Sherlock, Julian
585d525b-40b9-452f-b80d-fb26a010db31
Williams, John
52748571-88b8-4ca1-8b35-b33f9b8a429f
Rice, Rebecca
d86269c2-79f3-4dfd-b571-d2b5bfae2288
Stunt, Ali
3fb2c4fa-45e9-4c24-953c-024e6dd472d8
Faithfull, Sara
c22abc21-5ab9-466e-909e-2fe52b924138
Gatenby, Piers
2a929e85-8811-43fc-a333-34d57d49d99b
Lemanska, Agnieszka
cd6078ab-4a62-42e1-bbbf-de66db3f34b3
de Lusignan, Simon
ff8f6923-47a6-4c8e-8f12-c0517e6e3724

Jeffreys, Nathan, Dambha-Miller, Hajira, Fan, Xuejuan, Ferreira, Filipa, Liyanage, Harshana, Sherlock, Julian, Williams, John, Rice, Rebecca, Stunt, Ali, Faithfull, Sara, Gatenby, Piers, Lemanska, Agnieszka and de Lusignan, Simon (2021) Using primary care data to report real-world pancreatic cancer survival and symptomatology. Studies in Health Technology and Informatics, 281, 168-172. (doi:10.3233/SHTI210142).

Record type: Article

Abstract

Pancreatic cancer is the 10th most common cancer diagnosed; despite recent advances in many areas of oncology, survival remains poor, in part owing to late diagnosis. Whilst primary care data are used widely for epidemiology and pharmacovigilance, they are less used for observing survival. In this study we extracted a pancreatic cancer cohort from a nationally representative English primary care database of electronic health records (EHRs) and reported on their symptom and mortality data. A total of 11, 649 cases were identified within the Oxford Royal College of General Practitioners (RCGP) Clinical Informatics Digital Hub network. All-cause mortality data was recorded for 4623 (39.69%). Mean age at recording of cancer diagnosis was 71.4 years (SD 12.0 years). 1-year and 5-year survival was 22.06% and 3.27% respectively. Within a multivariate model, age had a significant impact on survival; those diagnosed under the age of 60 had the longest survival, as compared to those age 60 – 79 (HR: 1.36, 95% CI: 1.20 – 1.54, p < 0.001) and 80+ (HR: 2.13, 95% CI: 1.86 – 2.44, p < 0.01). Symptomatology was examined; at any time point abdominal pain was the most commonly reported symptom present in 5271 cases (45.2%), but within the 12 months preceding diagnosis jaundice was the most common feature, present in 2587 patients (22.2%). Future studies clarifying other contributing factors on survival outcomes and patterns of symptomatology are needed; primary care EHRs provide an opportunity to evaluate real-world cancer patient cohort data.

Text
SHTI-281-SHTI210142 - Version of Record
Download (169kB)

More information

e-pub ahead of print date: 27 May 2021

Identifiers

Local EPrints ID: 485380
URI: http://eprints.soton.ac.uk/id/eprint/485380
ISSN: 0926-9630
PURE UUID: 89489365-40db-45d8-be71-7565a6bbf63c
ORCID for Hajira Dambha-Miller: ORCID iD orcid.org/0000-0003-0175-443X

Catalogue record

Date deposited: 05 Dec 2023 17:40
Last modified: 17 Mar 2024 03:54

Export record

Altmetrics

Contributors

Author: Nathan Jeffreys
Author: Xuejuan Fan
Author: Filipa Ferreira
Author: Harshana Liyanage
Author: Julian Sherlock
Author: John Williams
Author: Rebecca Rice
Author: Ali Stunt
Author: Sara Faithfull
Author: Piers Gatenby
Author: Agnieszka Lemanska
Author: Simon de Lusignan

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×