Version: 1.0.0 | Published: 8 Oct 2024 | Updated: 508 days ago
Summary
DOI Name:
10.6084/m9.figshare.22094015.v1
Documentation
Description:
The dataset includes patients either diagnosed with pancreatic cancer (PC) or deemed at risk of PC. Risk factors include certain, clinician-validated features such as previous GI referrals, chronic pancreatitis diagnosis etc. The dataset includes both patient level demographic, inpatient/outpatient and laboratory data. The variables included have been carefully identified as being potentially risk factors for PC. Data has been sourced from Manchester Foundation Trust systems, and is patient level.
Coverage
Spatial:
United Kingdom,England,North West,Manchester
Typical Age Range:
0-150
Follow Up:
Continuous
Pathway:
Secondary Care only
Provenance
Origin
Purposes:
Care
Sources:
EPR
Collection Situations:
- Secondary care - Outpatients
- Secondary care - In-patients
- Clinic
Temporal
Accrual Periodicity:
Static
Distribution Release Date:
29 October 2025
Start Date:
04 April 2012
End Date:
07 September 2022
Time Lag:
Less than 1 week
Accessibility
Access
Access Service:
MFT have both on-premise and cloud solutions for accessing data. Each
application will be assessed on a case-by-case basis but th default access route
is via our secure data environment analytical platform/TRE.
Delivery Lead Time:
Not applicable
Jurisdictions:
GB-ENG
Data Controller:
Manchester University Hospitals NHS Foundation Trust
Data Processor:
Manchester University Hospitals NHS Foundation Trust
Usage
Data Use Limitations:
Research use only
Data Use Requirements:
- Institution-specific restrictions
- Disclosure control
Resource Creators:
To inform CDSU of any publications arising from this Project Dataset and ensure CDSU and the relevant data controller responsible for initially providing data are acknowledged as data sources in all resulting reports and publications. E.g. "We acknowledge the support of the Clinical Data Science Unit, Manchester University NHS Foundation Trust for managing and supplying the pseudonymised data from the original data source."
Format and Standards
Vocabulary Encoding Schemes:
ICD10
Conforms To:
LOCAL
Languages:
en
Formats:
- csv
- sql
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Findings
Number of records (one record per subject)
58567
Count of findings records
31 October 2025
Persons
Number of unique subjects in dataset
58567
Count of linkable, distinct subjects in dataset
31 October 2025