Version: 17.0.0 | Published: 30 Oct 2023 | Updated: 570 days ago
Documentation
Description:
av_patient
Patient information - demographics and death details.
av_tumour
Tumour catalogue and characterisation for all patients with registerable tumour. Table's anon_tumour_id is used to link treatment tables also available in NCRAS. One row per tumour (av* table specific anon_tumour_id), per participant at the point of registration of that cancer/tumour with NCRAS.
av_treatment
Tumour linked catalogue of treatments and sites that provided them for all patients with registerable tumour.
av_imd
The Income Deprivation Domain (IMD table) measures the proportion of the population experiencing deprivation relating to low income. The definition of low income used includes both those people that are out-of-work and those that are in work but who have low earnings.
av_rtd
Routes to Diagnosis: cancer registration data are combined with Administrative Hospital Episode Statistics data, Cancer Waiting Times data and data from the cancer screening programmes. Using these datasets cancers registered in England which were diagnosed in 2006 to 2016 are categorised into one of eight Routes to Diagnosis. The methodology is described in detail in the British Journal of Cancer article 'Routes to Diagnosis for cancer - Determining the patient journey using multiple routine datasets'.
cwt
The National Cancer Waiting Times Monitoring Data Set supports the continued management and monitoring of waiting times.
sact
Systemic Anti-Cancer Therapy (chemotherapy detail) data for cancer participants from NHSE covering regimens between 04/2012 and 08/2022. One row per chemotherapy cycle, per tumour (SACT-specific anon_tumour_id), per participant.
rtds
The Radiotherapy Data Set (RTDS) standard (SCCI0111) is an existing standard that has required all NHS Acute Trust providers of radiotherapy services in England to collect and submit standardised data monthly against a nationally defined data set since 2009. The purpose of the standard is to collect consistent and comparable data across all NHS Acute Trust providers of radiotherapy services in England in order to provide intelligence for service planning, commissioning, clinical practice and research and the operational provision of radiotherapy services across England. Data is available from 01/04/2009. The data is linked at a patient level and can be linked to the latest available av_patient table.
ncras_did
The Diagnostic Imaging Dataset (DID) is a central collection of detailed information about diagnostic imaging tests carried out on NHS patients, extracted from local radiology information systems and submitted monthly. The DID captures information about referral source, details of the test (type of test and body site), demographic information such as GP registered practice, patient postcode, ethnicity, gender and date of birth, plus data items about different events (date of imaging request, date of imaging, date of reporting, which allows calculation of time intervals.
lucada_2013
The National Lung Cancer Audit (LUCADA) looks at the care delivered during referral, diagnosis, treatment and outcomes for people diagnosed with lung cancer and mesothelioma. The data items in the LUCADA dataset have been compiled to meet the requirements of audit, and are not to be confused with the data items identified as Lung Cancer in the National Cancer dataset. The audit focuses on measuring the care given to lung cancer patients from diagnosis to the primary treatment package, assessing against standards and bringing about necessary improvements. The project supports the Calman Hine recommendations, the National Cancer Plan and other national guidance (e.g. NICE guidance) as it emerges.
lucada_2014
As above. Different schema to lucada_2013.
Is Part Of:
100k Secondary Linked Medical History Data
Coverage
Spatial:
United Kingdom, England
Typical Age Range:
0-150
Follow Up:
> 10 YEARS
Physical Sample Availability:
DNA
Pathway:
Secondary care cancer pathways.
Provenance
Origin
Purposes:
DISEASE REGISTRY
Sources:
- ELECTRONIC SURVEY
- EPR
- FREETEXT NLP
- LIMS
- MACHINE GENERATED
- PAPER BASED
- OTHER
Collection Situations:
- ACCIDENT AND EMERGENCY
- CLINIC
- COMMUNITY
- HOME
- IN-PATIENTS
- OUTPATIENTS
- PRIMARY CARE
- SERVICES
- OTHER
Temporal
Accrual Periodicity:
QUARTERLY
Distribution Release Date:
30 March 2023
Start Date:
01 January 1985
End Date:
30 December 2022
Time Lag:
VARIABLE
Accessibility
Access
Access Service:
More information about the Genomics England Research Environment can be found
here:
https://www.genomicsengland.co.uk/about-genomics-england/research-environment/
https://research-help.genomicsengland.co.uk/display/GERE/1.+The+Genomics+England+Research+Environment
Genomics England 100k participants have consented to longitudinal lifetime
followup and recontact safely through our clinical network. BRST (Bioinformatics
Research Services) are a team of bioinformatics who know the dataset inside out
and provide consultancy projects on a case by case basis. Our network of
clinical and medical experts can be made available on case by case basis.
Researchers have the opportunity to work with our and access the GeCIP network
who are a community of world-leading experts in specific cancers and rare
diseases.
Access Request Cost:
Fees will be dependent on the type of access that is necessary. Raw data is not
eligible for export. Summary-level data may be exported provided that it is
approved through the Genomics England Airlock Process
Delivery Lead Time:
1-2 MONTHS
Jurisdictions:
GB-GBN
Data Controller:
PUBLIC HEALTH ENGLAND
Data Processor:
GENOMICS ENGLAND
Usage
Data Use Limitations:
GENERAL RESEARCH USE
Data Use Requirements:
- ETHICS APPROVAL REQUIRED
- PROJECT SPECIFIC RESTRICTIONS
- PUBLICATION MORATORIUM
Resource Creators:
Genomics England
Is Referenced By:
Format and Standards
Vocabulary Encoding Schemes:
- ICD10
- NHS NATIONAL CODES
- ODS
- OPCS4
- READ
- SNOMED CT
Conforms To:
- LOCAL
- NHS DATA DICTIONARY
Languages:
en
Formats:
Multiple Formats Available
Enrichment and Linkage
Observations
Statistical Population
Population Description
Population Size
Measured Property
Observation Date
Findings
Rare Disease - Number of genomes
73,517
Count
30 March 2023
Findings
Cancer Germline - Number of genomes
32,753
Count
30 March 2023
Findings
Cancer Tumour - Number of genomes
17,003
Count
30 March 2023
Persons
Cancer Participants
15,624
Count
30 March 2023
Persons
Rare Disease Participants
72,874
Count
30 March 2023
Origin
Name:
Data Catalogue