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National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

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Page 1: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

National Cancer Intelligence Network data usage

17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Page 2: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Overview• Data sources

• Data collection for brain tumours in England

• Incidence

• Mortality

• Life expectancy

• Routes to Diagnosis

• Prevalence

• Routes from Diagnosis

• Service Profiles CHI

2 National Cancer Intelligence Network data usage

Page 3: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Strengths of the data• Population-level cancer data

covering the whole country

• Some countries only register a sample

• Population-based registration since 1960s

• Population registration reduces bias / positive sampling of cancer cases

• Centralisation of English cancer data – ENCORE. Hosted by the National Cancer Registration Service at Public Health England

3 National Cancer Intelligence Network data usage

Page 4: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

National Cancer Intelligence Network data usage 4

Data Sources

Page 5: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

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Page 6: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Data Analysis

6 National Cancer Intelligence Network data usage

• Cancer Analysis System – CAS (incl: cancer registry data, SATC, RTD, WT) (restricted use)

• Cancerstat – for NHS/PHE users (cancer incidence, mortality, survival, COSD and CHI)

• Cancer Commissioning Toolkit, NCIN https://www.cancertoolkit.co.uk/

• Fingertips, PHE http://fingertips.phe.org.uk/

• NCIN projects: Cancer by deprivation, Routes to Diagnosis, Macmillan-NCIN Partnership www.ncin.org.uk

• Macmillan Cancer Support, Routes from Diagnosis http://www.macmillan.org.uk/Aboutus/Ouresearchandevaluation/Programmesofwork/Routesfromdiagnosis.aspx

• Cancer Research UK: wide range of key statistics http://www.cancerresearchuk.org/cancer-info/cancerstats/types/brain/

Page 7: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Access to data

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https://nww.cancerstats.nhs.uk/users/sign_in

Page 8: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Cancer Outcome Service Dataset

8 National Cancer Intelligence Network data usage

https://nww.cancerstats.nhs.uk/users/sign_in

Page 9: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

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• National Cancer Registration Service (NCRS) Public Health England ( ENCORE)Using the WHO International Classification of Diseases, version 10 (ICD-10)

• ICD-10 codes grouped:(i) malignant (or invasive, or C-codes)(ii) benign and uncertain or unknown behaviour types (or non-invasive, or D-codes).

• Inconsistent historical collection of benign tumour data, improved from early 2000s

• WHO classification changes expected in 2016 will impact on the way some brain tumours are coded, details not yet confirmed

Brain tumour data collection

Page 10: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Weaknesses – non-invasive tumours

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• All brain tumours are a registrable condition

• National statistics have historically focused on invasive tumours

• When the data are not being used, it is hard to identify data quality issues

“One regional registry stopped submitting D32 (benign neoplasm of meninges) to ONS for over 10 years, and this wasn’t spotted as no-one was

analysing the data!”

• Pituitary tumours: reported incidence rates strongly depend on: Amount of imaging being done, leading to incidental findings Access of cancer registries to imaging data – better data, higher

incidence rate

Eleanor Byrne
is
Page 11: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Weaknesses – brain metastases

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• Primary brain tumours only part of workload

• Metastases of other primary cancers to the brain are a significant proportion of all tumours in the brain

• National data on metastases historically poor – site missing

• Reviewing the data we collect on recurrence and metastases now COSD data is being collected

• Progressive Cancers project by Macmillan and the National Cancer Intelligence Network, assessing second cancers, recurrence and metastases for selected cancer sites

Page 12: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Weaknesses – CNS bucket codes

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• Different brain cancers have very different care pathways and outcomes

• Cannot identify type of brain cancer without good morphological coding

• Historically, many brain cancers have been given bucket diagnoses

2005 tumours – over 1 in 10 coded as Neoplasm NOS

Invasive Benign / Uncertain

 Neoplasm NOS

 Specific code

Page 13: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Brain and Central Nervous System ICD 10 codes

Cancer type ICD10 to be included

Brain & Central Nervous System

C700, C701, C709, C710, C711, C712, C713, C714, C715, C716, C717, C718, C719, C720, C721, C722, C723, C724, C725, C728, C729, C751, C752, C753, D320, D321, D329, D330, D331, D332, D333, D334, D337, D339, D352, D353, D354, D420, D421, D429, D430, D431, D432, D433, D434, D437, D439, D443, D444, D445

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Page 14: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

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Age standardised incidence rate: Malignant tumours of the Brain and CNS by sex in England, 2009-2013.

Source: Cancerstat (C70 to 72)

• Incidence ratio male to female 1.341660303

Page 15: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Age standardised incidence rate: Benign tumours of the Brain and CNS by sex in England, 2009-2013

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Source: Cancerstat (D42 and 43)

Page 16: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Number of malignant and benign cases: Brain and CNS by Strategic Clinical Network by sex in England - 2013

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Source: Cancerstat, (C70, 71and 72, and D42 and 43)

Page 17: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Age standardised incidence rate for males diagnosed with a Brain and CNS tumour by SCN in England, 2011-2013

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Source: Cancerstat, C70-72

Page 18: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

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Source: Cancerstat, C70-72

Age standardised incidence rate for females diagnosed with a Brain and CNS tumour by SCN in England, 2011-2013

Page 19: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

COSD Conformance Summary Level 32013 Diagnosis Counts - Invasive Brain and Central Nervous System

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Total Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov DecSouth West 877 80 50 82 76 69 48 79 70 69 93 82 79Gloucestershire Hospitals NHS Foundation Trust (RTE) 59Great Western Hospitals NHS Foundation Trust (RN3) 19North Bristol NHS Trust (RVJ) 213Northern Devon Healthcare NHS Trust (RBZ) 12Plymouth Hospitals NHS Trust (RK9) 143Royal Cornwall Hospitals NHS Trust (REF) 39Royal Devon and Exeter NHS Foundation Trust (RH8) 46Royal United Hospital Bath NHS Trust (RD1) 44Salisbury NHS Foundation Trust (RNZ) 9South Devon Healthcare NHS Foundation Trust (RA9) 31Taunton and Somerset NHS Foundation Trust (RBA) 31University Hospitals Bristol NHS Foundation Trust (RA7) 207Weston Area Health NHS Trust (RA3) 7Yeovil District Hospital NHS Foundation Trust (RA4) 17

2013

Source: Cancerstat -COSD

Page 20: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Age standardised mortality rate: Malignant tumours of the Brain and CNS by sex in England, 2009-2013

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Source: Cancerstat (C70 to 72)

Death Ratio male to female 1.3:1

Page 21: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Glioblastoma: Age specific incidence rate and number of cases – Malignant tumours of the brain (C71) – by age and sex in England, 2009 to 2013

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Source: National Cancer Registration Service

Morphology codes for Glioblastoma : 9440/3,9441/3,9442/3

Eleanor Byrne
not sure if this is mean to be here
Page 22: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Percentage of Glioblastoma among Astrocytoma (C70-72) by Strategic Clinical Network in England, 2009-2013

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Source: National Cancer Registration Service

Page 23: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Glioblastoma in England - median life expectancy in months by regions 2007-2011

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Regions Male Female Persons

North East 8.2 (6.7 to 9.2) 5.0 (4.2 to 6.0) 6.7(5.7 to 7.9)

North West 6.0 (5.4 to 6.8) 5.3 (4.7 to 5.9) 5.7 (5.3 to 6.1)

Yorkshire and the Humber 6.9 (6.0 to 8.0) 5.1 (4.3 to 6.1) 6.1 (5.6 to 7.0)

East Midlands 5.9 (5.3 to 6.8) 6.0(5.1 to 6.8) 5.9 (5.4 to 6.6)

West Midlands 6.8 (6.1 to 7.6) 5.9 (5.1 to 7.4) 6.6 (5.9 to 7.3)

East of England 6.4 (5.6 to 7.0) 5.2 (4.4 to 5.9) 5.8 (5.3 to 6.4)

London 6.9 (6.0 to 8.0) 6.2 (5.1 to 7.3) 6.7 (5.9 to 7.3)

South East 5.9 (5.4 to 6.5) 5.2 (4.7 to 5.8) 5.7 (5.3 to 6.0)

South West 7.2 (6.3 to 8.1) 6.4 (5.2 to 7.6) 6.9 (6.2 to 7.7)

England 6.5 (6.2 to 6.8) 5.6 (5.3 to 5.8) 6.1 (5.9 to 6.3)

Source: Brodbelt A et al: Glioblastoma in England: 2007 -2011. European Journal of Cancer (2015) 51, 533-542

Page 24: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Routes to diagnosis 2006-2013 data – England

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Source: Routes to Diagnosis 2006-2013 workbook A http://www.ncin.org.uk/view?rid=3053

Page 25: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

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Source: Routes to Diagnosis 2006-2013 workbook A http://www.ncin.org.uk/view?rid=3053

Routes to diagnosis 2006-2013 data – England

Page 26: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

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Source: Routes to Diagnosis 2006-2013 workbook A http://www.ncin.org.uk/view?rid=3053

Routes to diagnosis 2006-2013 data – England Relative survival 12 month

Page 27: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

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• Survivorship – what are the pathways after diagnosis?

• Report focused on: glioblastoma, meningioma and nerve sheath tumours

• Patients with meningioma and nerve sheath tumours = notably better outcomes:Majority survive 7+ years (63.8% and 87.2% respectively)Group 7: major long-term health service demands

• Over half (55%) of cancer patients with glioblastoma tumours did not survive past 6 months

Show similar short-term survival outcomes to lung cancer patients

Routes from Diagnosiswhat is the CNS survivorship pathway?

Source: Macmillan Cancer Support, http://www.macmillan.org.uk/Aboutus/Ouresearchandevaluation/Programmesofwork/Routesfromdiagnosis.aspx Accessed February 2015

Page 28: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

20-year cancer prevalence – Brain and CNS tumours in England, 1991 - 2010

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Strategic Clinical Networks

0-1 yrs 1-2 yrs 2-5 yrs 5-10 yrs 10-15 yrs 15-20 yrs20 year

totalCheshire and Mersey  205 133 248 340 339 298 1,563

East of England  504 392 1,072 1,148 838 675 4,629

East Midlands  369 259 798 810 687 672 3,595

Greater Manchester Lancashire and South Cumbria 321 312 590 831 661 505 3,220

London  525 424 1,104 1,192 1,018 956 5,219

Northern of england  247 178 477 678 475 291 2,346

South East Coast  336 257 611 731 642 624 3,201

South West  433 310 1,027 995 719 756 4,240

Thames Valley  190 127 386 343 334 320 1,700

Wessex 283 192 581 615 491 508 2,670

West Midlands  458 236 659 1,019 757 604 3,733

Yorkshire and the Humber  381 311 716 973 775 762 3,918

Time Since Diagnosis

Source Macmillan-NCIN http://www.ncin.org.uk/about_ncin/understanding_the_cancer_population

Page 29: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Clinical Headline Indicators

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Source: Cancerstat –CHI demo

Page 30: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Conclusions

• NCRS data is a good resource• world leading data set • understand and improve patient care across the country

• There are known weaknesses in the available cancer data. • Important to consider during data analysis

• Recent developments - one English National Cancer Registration Service,

COSD, SACT, Radiotherapy, DID

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Page 31: National Cancer Intelligence Network data usage 17 November 2015 – Veronique Poirier – Principal Cancer Analyst – NCIN

Contact

Sarah Miller – Senior Cancer Analyst – lead analyst for Brain and CNS

[email protected]

Chair of CNS NCIN SSCRG: Professor Peter Collins

Next meeting/workshop dates have been provisionally set for :

4th and 5th February 2016

http://www.ncin.org.uk/cancer_type_and_topic_specific_work/cancer_type_specific_work/

central_nervous_system_cancers/

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