CONTINUING MEDICAL EDUCATION



Similar documents
Breast Cancer & Treatment in ACT and Surrounding Regions QUALITY ASSURANCE PROJECT. Five-year report

MESOTHELIOMA IN AUSTRALIA INCIDENCE 1982 TO 2009 MORTALITY 1997 TO 2011

MESOTHELIOMA IN AUSTRALIA INCIDENCE 1982 TO 2008 MORTALITY 1997 TO 2007

Cancer in Ireland 2013: Annual report of the National Cancer Registry

THE AUSTRALIAN MESOTHELIOMA REGISTRY (AMR)

1.14 Life expectancy at birth

Prostate cancer statistics

National Breast and Ovarian Cancer Centre and Royal Australasian College of Surgeons

Singapore Cancer Registry Annual Registry Report Trends in Cancer Incidence in Singapore National Registry of Diseases Office (NRDO)

chapter 5. Quality control at the population-based cancer registry

Analysis of Population Cancer Risk Factors in National Information System SVOD

The Ontario Cancer Registry and its Data Quality. Diane Nishri Senior Research Associate, Surveillance February, 2011

Mesothelioma in Australia: Incidence (1982 to 2013) and Mortality (1997 to 2012)

1.17 Life expectancy at birth

Number. Source: Vital Records, M CDPH

Chapter 4. Planning a cancer registry

The Ontario Cancer Registry moves to the 21 st Century

Section 8» Incidence, Mortality, Survival and Prevalence

Final Report Australian Firefighters Health Study. Summary

Childhood cancer incidence and mortality in Canada

Skin Cancer: The Facts. Slide content provided by Loraine Marrett, Senior Epidemiologist, Division of Preventive Oncology, Cancer Care Ontario.

Cancer incidence and mortality in Europe, 2004

Finnish Cancer Registry Institute for Statistical and Epidemiological Cancer Research. Survival ratios of cancer patients by area in Finland

Chapter 13. The hospital-based cancer registry

Statistical Report on Health

The effect of the introduction of ICD-10 on cancer mortality trends in England and Wales

Data Analysis and Interpretation. Eleanor Howell, MS Manager, Data Dissemination Unit State Center for Health Statistics

Lifetime Likelihood of Going to State or Federal Prison

REFERENCE CODE GDHCER PUBLICAT ION DATE JULY 2015 MULTIPLE MYELOMA EPIDEMIOLOGY FORECAST TO 2023

Preparing an estimate of the national pattern of exposure to asbestos in cases of malignant mesothelioma

Statistics fact sheet

australian mesothelioma registry

users Position Paper: Responding to older AOD users The ageing population 1 Victorian Alcohol and Drug Association (VAADA) Issued September 2011

Indices of Morbidity and Mortality. Sukon Kanchanaraksa, PhD Johns Hopkins University

Temporal Trends in Demographics and Overall Survival of Non Small-Cell Lung Cancer Patients at Moffitt Cancer Center From 1986 to 2008

COST OF SKIN CANCER IN ENGLAND MORRIS, S., COX, B., AND BOSANQUET, N.

Likelihood of Cancer

Komorbide brystkræftpatienter kan de tåle behandling? Et registerstudie baseret på Danish Breast Cancer Cooperative Group

Cancer research in the Midland Region the prostate and bowel cancer projects

BioGrid s use of Business Analytics for Collaborative Medical Research. Maureen Turner, CEO, BioGrid Australia

Office of Population Health Genomics

PROTOCOL OF THE RITA DATA QUALITY STUDY

Case-control studies. Alfredo Morabia

Ovarian Cancer. in Georgia, Georgia Department of Human Resources Division of Public Health

The Year of Living Dangerously

Table 16a Multiple Myeloma Average Annual Number of Cancer Cases and Age-Adjusted Incidence Rates* for

Statistical appendix. A.1 Introduction

Cancer Data for South Florida: A Tool for Identifying Communities in Need

Chapter 2 History of MD Anderson s Tumor Registry

australian mesothelioma registry

Therapeutic Goods Administration Orphan Drugs Program: Discussion paper

Dementia: a major health problem for Australia

Aboriginal and Torres Strait Islander Health Workers / Practitioners in focus

Exercise Answers. Exercise B 2. C 3. A 4. B 5. A

bulletin 126 Healthy life expectancy in Australia: patterns and trends 1998 to 2012 Summary Bulletin 126 NOVEMBER 2014

Southern Grampians & Glenelg Shires COMMUNITY PROFILE

Jay Weiss Institute for Health Equity Sylvester Comprehensive Cancer Center University of Miami. COMMUNITY PROFILE Liberty City, Florida

Statistical Bulletin. National Life Tables, United Kingdom, Key Points. Summary. Introduction

KIDNEY FUNCTION RELATION TO SIZE OF THE TUMOR IN RENAL CELL CANCINOMA

Measuring road crash injury severity in Western Australia using ICISS methodology

National Cancer Institute

How To Analyse The Causes Of Injury In A Health Care System

Cancer in Western Australia: Incidence and mortality 2003 and Mesothelioma

Measures of Prognosis. Sukon Kanchanaraksa, PhD Johns Hopkins University

Aggregate data available; release of county or case-based data requires approval by the DHMH Institutional Review Board

Cost of Cancer in NSW A report by Access Economics Pty Limited for The Cancer Council NSW

No. prev. doc.: 8770/08 SAN 64 Subject: EMPLOYMENT, SOCIAL POLICY, HEALTH AND CONSUMER AFFAIRS COUNCIL MEETING ON 9 AND 10 JUNE 2008

Queensland Workplace Health & Safety Board - Key Statistical Indicators

Early mortality rate (EMR) in Acute Myeloid Leukemia (AML)

Screening for Prostate Cancer

Medical Certificate of Cause of Death. Notes for Doctors

The Health and Well-being of the Aboriginal Population in British Columbia

Skilled Occupation List (SOL)

Transcription:

ANZ J. Surg. 2004; 74: 931 934 CONTINUING MEDICAL EDUCATION CONTINUING MEDICAL EDUCATION CANCER STATISTICS: EVERYTHING YOU WANTED TO KNOW ABOUT THE CANCER REGISTRY DATA BUT WERE TOO AFRAID TO ASK GRAHAM G. GILES AND VICKY THURSFIELD Victorian Cancer Registry, The Cancer Council Victoria, Melbourne, Victoria, Australia Australia and New Zealand (ANZ) have had complete population cancer incidence registration for decades and are beginning to develop clinical data systems to collect details of staging and treatment. Sadly, this bounty of statistical data is often under utilized and occasionally abused. Many are unaware of the data and statistical services available from their local cancer registry. To promote the use of ANZ population cancer data, the following paper describes the principal statistics that are available and identifies common problems with their use. Key words: cancer, incidence, population registers, prevalence, survival. Abbreviations: AACR, Australasian Association of Cancer Registries; AIHW, Australian Institute of Health and Welfare; ANZ, Australia and New Zealand; IARC, International Agency for Research in Cancer; IACR, International Association of Cancer Registries; NCCI, National Cancer Control Initiative; NHMRC, National Health & Medical Research Council; PYLL, person years of life lost; YPLL, years of potential life lost. INTRODUCTION G. G. Giles MSc, PhD; V. Thursfield BSc, Grad. Dip (Appl. stats.). Correspondence: Professor Graham Giles, Victorian Cancer Registry, The Cancer Council Victoria, Carlton, Vic. 3053, Australia. Email: graham.giles@cancervic.org.au Accepted for publication 27 April 2004. The object of this paper is to encourage the proper and increasing use of Antipodean cancer data, it being a cause of deep chauvinistic shame to observe Australians and New Zealanders making presentations at international conferences using American or European cancer information. Australia and New Zealand (ANZ) are unusually fortunate in having their entire populations covered by cancer registries. Full coverage of cancer incidence for ANZ commenced in 1982 with some jurisdictions going back further in time. 1 In all States and Territories of Australia, cancer registration is mandated by law that usually makes it incumbent on pathology laboratories and hospitals to notify a central registry of cancer diagnoses. Cancer registries also receive data from other sources such as death certificate details from the Registrars of Births, Deaths and Marriages. The duplicate registration of information from more than one source is important to assure data completeness especially in larger populations with multiple notifying institutions Cancer registration has been largely a passive process that has focused on gathering a few data items that are usually to be found in the primary source documents, particularly those items that usually are accurately recorded. This historical infrastructure is now evolving to resemble the SEER registry system 2 in the USA, as national needs for increased clinical data on cancer patients have been identified and articulated principally by the National Cancer Control Initiative (NCCI). 3 The NCCI has developed a minimum dataset for clinical data collection and this has been adopted by key national bodies including the National Health & Medical Research Council (NHMRC), the National Cancer Strategies Group and the Australasian Association of Cancer Registries (AACR). 4 It is hoped that the next decade will see the collection of the NCCI minimum clinical data set widely implemented across Australia. All ANZ cancer registries are members of the International Association of Cancer Registries (IACR) based at the International Agency for Research in Cancer (IARC) in Lyons, France and, as such, have satisfied essential criteria for data quality and their data are published in Cancer Incidence in Five Continents. 5 The AACR meets regularly, with secretarial support from the Australian Institute of Health and Welfare (AIHW) 6 to continually improve the level of data commonality and standardization between the different State and Territory jurisdictions. All Australian cancer incidence data are pooled at the AIHW in order to facilitate the production of national cancer statistics. 7 MEASURES OF INCIDENCE The principal incident event eligible for registration is the diagnosis of a primary invasive cancer. Some registries also collect in situ tumours and tumours of uncertain behaviour but these are not commonly included in incidence reports. Non-melanocytic skin cancers also are rarely collected by registries on a routine basis because of the huge resources that would be required. Because a diagnosis date is rarely written in a medical record, this is usually determined by the date of key procedures that are recorded, e.g., date of biopsy or the date of the pathologist s report. In a minority of cases, a diagnosis date is determined solely on clinical grounds. Great care is taken at cancer registries to avoid the registration of additional primary cancers in the same person that may be extensions or metastases of a previous cancer. There are internationally agreed conventions in regard to the definition of such multiple primaries; 8 for example a second primary in the same organ has to have a different morphology according to Berg groupings. 9 Although registries may record all diagnoses of primary cancers on their database, only the first primary cancer for a given organ site and morphology combination is used for reporting incidence.

932 GILES AND THURSFIELD Authors: Professor Graham G. Giles MSc, PhD (left) and Mrs Vicky Thursfield BSc, Grad. Dip. (Appl. Stats) (right). Incidence can be reported in various ways; as a count, a crude rate, a standardized (age-adjusted) rate or as a cumulative risk. These metrics are usually presented in an annual format and are commonly broken down by sex and 5-year age group. Occasionally they are also made available by geographical region, country of birth and socioeconomic status. Crude rates are simply the annual count (numerator) divided by the population for that year (denominator) and multiplied by a constant, commonly 100 000 is used for cancers and 1000 000 for childhood cancers. In order to compare incidence rates from different populations, standardized rates are produced by multiplying the age-specific rates by a set of age-specific weights in order to adjust for possible differences due to the different age structures of the populations to be compared. For international comparisons, the most useful set of weights is the World Standard Population 10 and these weights are used, for example, in the volumes of Cancer Incidence in Five Continents. 5 On the other hand, comparisons within populations particularly in developed countries that have an aged population structure compared with the youthful structure of the World Standard Population, a set of weights that more closely resembles the actual population structure is more useful in that it does not give undue weight to younger cases while discounting older cases. In Australia, the AIHW has commonly used the 1991 census population as well as the World Standard Population to standardize rates for publication. When inspecting published rates it is therefore important to ascertain which standards have been used the US SEER system 2 uses the 1971 US census population. If in doubt, consult Cancer Incidence in Five Continents 5 or make friends with your local cancer registry, as it will usually have easy access to comparative data from other countries. An often neglected aspect of rate estimates is their precision, as rates based on small numbers will be more variable and less reliable than those based on large numbers. When inspecting published rates, one should look for information about their associated standard errors and 95% confidence intervals (estimated by taking 1.96 standard errors either side of the rate estimate). Should the confidence intervals of two different rate estimates overlap, any difference between the rates is unlikely to be statistically significant. The cumulative rate of a cancer (at a given age) is a measure of the proportion of all persons who have, by that age, been affected by this cancer. It is a directly standardized incidence rate that approximates the actuarial or cumulative risk. 10 This is the sum over each year of age of the age-specific incidence rate taken from birth to age 74. This rate is expressed as a percentage, e.g., 33%, or as its reciprocal, the lifetime risk, e.g., 1 in 3. Other end points than 74 years may sometimes be used, e.g., 0 14 for childhood cancers, or increased to 80 years to reflect the increasing life expectancy in developed countries this should be checked when making comparisons.

CANCER STATISTICS 933 MEASURES OF PREVALENCE The primary importance of prevalence estimates is to gain an understanding, at any given point in time, of the proportion of people in a given population who remain alive after having had a diagnosis of cancer at any time in the past. It follows that prevalence can only be estimated accurately by population cancer registries that have had a long period of operation therefore estimates have not been common until recently. 11 Prevalence data are useful to those charged with planning for the provision of health services for example continuing therapy including treatment of disabilities, regular medical consultations, screening for recurrences and second primary cancers, and for long-term counselling and support. Total prevalence is often inadequate to meet these needs, and estimates of patients with active disease active prevalence are now being separately estimated. 12 MEASURES OF MORTALITY Cancer mortality rates are available from national sources such as the Australian Bureau of Statistics 13 and the AIHW. 6 Rate estimation from mortality data is carried out in the same way as for incidence, and uses the same standard population weights for age adjustment. Note that some cancer registries code cause of death data separately from the national collections. Although these registry mortality procedures might be more accurate in attributing some deaths to cancer or more specific in regard to subtypes of cancer, they will vary between different registries and it is important to check published data before making comparisons. The Cancer Epidemiology Centre at The Cancer Council Victoria updates the long-term Australian cancer mortality trends every 5 years. 14 Person years of life lost (PYLL), sometimes referred to as years of potential life lost (YPLL), is an estimate of the impact of cancer mortality on the community in terms of loss of life. It is estimated by subtracting for each cancer death the person s age at death from their expected age at death obtained from appropriate population life tables. This indicator is useful to compare the impact of cancers that occur more often in older people with those that have a more youthful distribution. As with cumulative rates, different values of life expectancy might be used in estimating PYLL and this should be checked before making comparisons. In Australia in 2000, 7 prostate cancer and breast cancer were similar in numbers of incident cases and cumulative rate, but the PYLL for prostate cancer was only 5,783 years compared with 28,305 years for breast cancer. MEASURES OF SURVIVAL Crude survival is the simple proportion of a given series of cancer patients that survive a particular time from diagnosis, usually 5 years. The relative survival ratio is a measure of net survival that is usually interpreted as the proportion of patients who would have survived to a certain time (usually 5 years for cancer) if the cancer they had was the only cause of death in the patient population. It is defined as the ratio of observed survivors in a cohort of cancer patients to the proportion of expected survivors in a comparable group of cancer-free individuals. Population life tables stratified by age, sex and calendar year are generally used to calculate expected survival. Unlike cause-specific survival, which depends on accurate coding of cause of death, relative survival measures the excess mortality experienced by cancer patients irrespective of whether their deaths are attributed to their cancers or not. It does require that the excess mortality is caused by the cancer, and not to some other factor (e.g., smoking) that might be related to the onset of cancer and to excess mortality from other causes. Cancer survival information is available for a number of cancer registries and there has been a recent national publication on this topic. 15 ISSUES OF ACCESS AND DATA QUALITY Cancer registries all produce formal annual statistics usually published at least a year after a calendar year of notifications is deemed to be complete. Such cancer registry reports usually present tables of incidence data by broad topographical rubrics of the International Classification of Diseases for Oncology 16 by sex and by 5-year age group, along with summary crude and agestandardized rates. The registry database contains more details, including more recent notifications, not only on cancer topography sub sites, but also on tumour morphology. These data are usually made available on request and free of charge. The registry databases also include demographics such as geocodes that permit analysis by local government area, hospital catchments and health department regions. Clinical and epidemiological researchers often need to match series of patients or unaffected persons to the cancer registry in order to follow up new diagnoses and deaths. Because accurate matching requires the use of full names and dates of birth, having the person s consent is a usual requirement. However, as consent is difficult to obtain in certain situations, record matching can still be performed, providing all relevant ethics committees give their approval. Data quality is another important issue. Population registers are passive recipients of data abstracted from source documents by third parties and, as such, are prone to error. Having registry data used extensively by external researchers and analysts is a valuable way of increasing data quality. To judge whether registries meet international accreditation standards, the IACR inspect the proportion of cases identified solely from death certificates, the proportion of cases for which there is evidence of histological examination, and the mortality to incidence ratio. Death certificate only is the term used for the proportion of cases registered for which no information was available other than a statement on the death certificate that the deceased died from or with cancer. A high percentage suggests incomplete incidence notification, and such diagnoses might be less accurate. Registries take great pains to seek additional information for cancers first notified by death certificate in order to identify possible missed registrations. If no further information is available, the cancer is registered as death certificate only based on information provided on the death certificate, the date of diagnosis being taken as the date of death. The proportion of cases registered for which there is evidence that the diagnosis was based on a histological examination of the primary tumour is another quality indicator. A low percentage suggests incomplete registration of pathology reports and consequently poorer verification of diagnoses and incomplete registration of cancers for which this is often the only source of notification, such as melanoma. The higher the proportion histologically verified for cancers of less accessible sites, like brain and pancreas, the more confident one can be that the neoplasm existed and that it was primary rather than metastatic. The mortality to incidence ratio is the ratio of the number of deaths attributed to a specific cancer with the number of new

934 GILES AND THURSFIELD cases of the same cancer diagnosed during the same period in the same population. If registration is complete and the incidence of the cancer is not changing rapidly, the mortality to incidence ratio should reflect long-term survival. If survival proportions are comparable in two populations, a more complete case ascertainment is suggested by a lower mortality to incidence ratio. INCREASING CLINICAL RELEVANCE Population cancer registries in ANZ were developed to measure incidence and have therefore attempted only to collect a minimal dataset for every case of cancer diagnosed in the community. The minimum dataset required for incidence has not included in its scope any details of prognostic indicators or treatment. Recognizing the absence of local information on cancer management in our region, attempts have been made in recent decades to address this issue. These activities range from the type of professional audit taken up, for example, by the breast surgeons 17 to the notable attempt in South Australia to capture clinical data on cancer via a network of hospital units 18 and the patterns of care model based on surveying clinicians involved in the care of a random sample of cases drawn from the population cancer registry. 19,20 As mentioned above, the NCCI has developed a core clinical data set after a national consultation process. This dataset has been adopted in principle by cancer registries and professional societies, and plans are being drawn to implement its collection in several jurisdictions. Given that the resources can be found to fund the data collection, it will probably take a decade for Australia to approach population coverage. Meanwhile, professional audits and patterns of care surveys will probably remain the major source of information on cancer management and outcomes. SUMMARY In comparison with many other parts of the world, the ANZ oncology community is well served by population cancer registries. Although historically focused on obtaining compete coverage of incident cases, recent proposals to increase registries value by augmenting their collections with more clinically relevant data, are being seriously considered. Nothing is more pleasing to those charged with running registries than seeing their hard-won data presented at scientific meetings. The reader is reminded that most registries have more data available than are commonly reported in their statistical publications. They are also the best source of local cancer data and have access to data from other registries around the globe with which to make comparisons. The AIHW website in reference 6 contains links to all State and Territory cancer registries click on one today! REFERENCES 1. Giles GG, Armstrong BK, Smith LN. Cancer in Australia. Melbourne: Anti Cancer Council of Victoria, 1987. 2. National Cancer Institute Surveillance Epidemiology and End Results, 1982. Available from: http://seer.cancer.gov. 3. National Cancer Control Institute. Available from: http://www. ncci.org.au/index.htm. 4. National Cancer Control Institute. NCCI Clinical Cancer Core Data Set and Data Dictionary, Version 3, 2003. Available from: http://www.ncci.org.au/pdf/dictionary3.pdf. 5. Parkin DM, Whelan SL, Ferlay J, Raymond L, Young J (eds). Cancer Incidence in Five Continents, Vol. VII. IARC. Scientific Publications no. 143. Lyon: IARC, 1997. 6. Australian Institute of Health & Welfare (AIHW). National Cancer Statistics Clearing House (NCSCH). Available from: http://www.aihw.gov.au/cancer/ncsch/index.html. 7. Australian Institute of Health and Welfare (AIHW) & Australasian Association of Cancer Registries (AACR) 2003. Cancer in Australia 2000. AIHW cat. no. CAN 18. Canberra: AIHW (Cancer Series no. 23). 8. International Association of Cancer Registries (IACR). Multiple Primaries. International Agency for Research on Cancer (IARC) Internal Report no. 00/003. Lyon, International Agency for Research on Cancer, 2000. 9. Berg JW, Schottenfeld D, Fraumeni JF. Cancer Epidemiology and Prevention, 2nd edn, New York: Oxford University Press, 1996; 28 44. 10. Doll R, Cook P. Summarizing indices for comparison of cancer incidence data. Int. J. Cancer 1967; 2: 269 79. 11. Giles G. How important are estimates of cancer prevalence? Ann. Oncol. 2002; 13: 815 16. 12. Brameld KJ, Holman CD, Threlfall TJ, Lawrence DM, De Kierk NH. Increasing active prevalence of cancer in Western Australia and its implications for health services. Aust. N. Z. J. Public Health 2002; 26: 396. 13. Australian Bureau of Statistics. Available from: http://www.abs. gov.au/. 14. Giles G, Thursfield V. Trends in Cancer Mortality, Australia 1910 99. Canstat no. 33. Melbourne: The Cancer Council Victoria, 2001. 15. Australian Institute of Health and Welfare (AIHW) and Australian Association of Cancer Registries (AACR). Cancer Survival in Australia 2001. Part 1: National Summary Statistics. AIHW Cat, no. CAN13. (Cancer Series No. 18). Canberra: AIHW, 2001. 16. Percy C, van Holten V, Muir C eds. International Classification of Diseases for Oncology 2nd edn. Geneva: World Health Organization, 1990. 17. Craft PS, Zhang Y, Brogan J, Tait N, Buckingham JM and the Australian Capital Territory and South Eastern New South Wales Breast Cancer Treatment Group. Implementing clinical practice guidelines: a community-based audit of breast cancer treatment. Med. J. Aust. 2000; 172: 213 16. 18. South Australian Cancer Registry. Epidemiology of Cancer in South Australia. Incidence, mortality and survival 1977 2001; Incidence and mortality; analysed by type and geographical location; Twenty-five years of data. Adelaide: South Australian Health Department, 2003. 19. Grossi M, Quinn MA, Thursfield VJ et al. Ovarian cancer: patterns of care in Victoria during 1993 1995. Med. J. Aust. 2002; 177: 11 16. 20. Farmer KC, Penfold C, Millar JL et al. Rectal cancer in Victoria in 1994: patterns of reported management ANZ J. Surg. 2002; 72: 265 70.