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This study aims to estimate long-term survival, cancer prevalence, and several cure indicators for Italian women with gynaecological cancers. Thirty-one cancer registries, representing 47% of the Italian female population, were included. Mixture cure models were used to estimate Net Survival (NS), Cure Fraction, Time To Cure (5-year conditional NS>95%), Cure Prevalence (women who will not die of cancer), and Already Cured (living longer than Time to Cure). In 2018, 0.4% (121,704) of Italian women were alive after corpus uteri cancer, 0.2% (52,551) after cervical, and 0.2% (52,153) after ovarian cancer. More than 90% of patients with uterine cancers and 83% with ovarian cancer will not die from their neoplasm (Cure Prevalence). Women with gynaecological cancers have a residual excess risk of death <5% after 5 years since diagnosis. The Cure Fraction was 69% for corpus uteri, 32% for ovarian, and 58% for cervical cancer patients. Time To Cure was ≤10 years for women with gynaecological cancers aged <55 years. 74% of patients with cervical cancer, 63% with corpus uteri cancer, and 55% with ovarian cancer were Already Cured. These results will contribute to improving follow-up programs for women with gynaecological cancers and supporting efforts against discrimination of already cured ones.
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Objectives: To describe the procedures to derive complete prevalence and several indicators of cancer cure from population-based cancer registries. Materials and methods: Cancer registry data (47% of the Italian population) were used to calculate limited duration prevalence for 62 cancer types by sex and registry. The incidence and survival models, needed to calculate the completeness index (R) and complete prevalence, were evaluated by likelihood ratio tests and by visual comparison. A sensitivity analysis was conducted to explore the effect on the complete prevalence of using different R indexes. Mixture cure models were used to estimate net survival (NS); life expectancy of fatal (LEF) cases; cure fraction (CF); time to cure (TTC); cure prevalence, prevalent patients who were not at risk of dying as a result of cancer; and already cured patients, those living longer than TTC at a specific point in time. CF was also compared with long-term NS since, for patients diagnosed after a certain age, CF (representing asymptotical values of NS) is reached far beyond the patient's life expectancy. Results: For the most frequent cancer types, the Weibull survival model stratified by sex and age showed a very good fit with observed survival. For men diagnosed with any cancer type at age 65-74 years, CF was 41%, while the NS was 49% until age 100 and 50% until age 90. In women, similar differences emerged for patients with any cancer type or with breast cancer. Among patients alive in 2018 with colorectal cancer at age 55-64 years, 48% were already cured (had reached their specific TTC), while the cure prevalence (lifelong probability to be cured from cancer) was 89%. Cure prevalence became 97.5% (2.5% will die because of their neoplasm) for patients alive >5 years after diagnosis. Conclusions: This study represents an addition to the current knowledge on the topic providing a detailed description of available indicators of prevalence and cancer cure, highlighting the links among them, and illustrating their interpretation. Indicators may be relevant for patients and clinical practice; they are unambiguously defined, measurable, and reproducible in different countries where population-based cancer registries are active.
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OBJECTIVES: To identify and provide lists of procedures and drugs related to diagnosis and treatment of breast cancer. These lists can be used for the estimation of the cost of illness. METHODS: The method consists of identifying lists of procedures/interventions/drugs related to the tumour of interest, drawn by a panel of expert clinicians and oncologists on the basis of clinical guidelines and current practice. The lists are applied to data referring to breast cancer female patients, collected by population-based Cancer Registries and linked at individual level with information on health care treatments. A comparison with lists obtained via the matched control method is implemented. RESULTS: The distribution of administered procedures and drug prescriptions is coherent with the patient clinical pathway: surgery is the main cause of hospitalization in the first year since diagnosis, diagnostic and monitoring interventions are more frequent in the following years (recurrences detection), and at end-of-life (palliative care). Most outpatient services are due to diagnosis and monitoring, one third of services in the first year since diagnosis is radiotherapy and chemotherapy. Drugs prescribed to patients and sold in pharmacy include hormonal drugs as first course treatment and analgesics as palliative care. CONCLUSIONS: This direct method represents a valid alternative to the matched control method in describing patterns of care and costs related to the entire disease pathway. It is particularly suitable in case of cancer sites with complex patterns of care, such as breast cancer. The lists of codes developed here are based on international classification systems and can be easily applicable to other countries.
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Neoplasias de la Mama , Neoplasias de la Mama/diagnóstico , Neoplasias de la Mama/terapia , Prescripciones de Medicamentos , Femenino , Servicios de Salud , Hospitalización , Humanos , Recurrencia Local de NeoplasiaRESUMEN
Costs of cancer care are increasing worldwide, and sustainability of cancer burden is critical. In this study, the economic impact of rectal cancer on the Italian healthcare system, measured as public healthcare expenditure related to investigation and treatment of rectal cancer patients is estimated. A cross-sectional cohort of 9358 rectal cancer patients is linked, on an individual basis, to claims associated to rectal cancer diagnosis and treatments. Costs refer mainly to years 2010-2011 and are estimated by phase of care, as healthcare needs vary along the care pathway: diagnostic procedures are mainly provided in the first year, surveillance procedures are addressed to chronically ill patients, and end-of-life procedures are given in the terminal status. Clinical approaches and corresponding costs are specific by cancer type and vary by phase of care, stage at diagnosis, and age. Surgery is undertaken by the great majority of patients. Thus, hospitalization is the main cost driver. The evidence produced can be used to improve planning and allocation of healthcare resources. In particular, early diagnosis of rectal cancer is a gain in healthcare budget. Policies raising spreading of and adherence to screening plans, above all when addressed to people living in Southern Italy, should be strongly encouraged.
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Gastos en Salud , Neoplasias del Recto , Estudios Transversales , Atención a la Salud , Costos de la Atención en Salud , Humanos , Italia/epidemiología , Neoplasias del Recto/diagnóstico , Neoplasias del Recto/epidemiología , Neoplasias del Recto/terapiaRESUMEN
BACKGROUND: Few studies have estimated the probability of being cured for cancer patients. This study aims to estimate population-based indicators of cancer cure in Europe by type, sex, age and period. METHODS: 7.2 million cancer patients (42 population-based cancer registries in 17 European countries) diagnosed at ages 15-74 years in 1990-2007 with follow-up to 2008 were selected from the EUROCARE-5 dataset. Mixture-cure models were used to estimate: (i) life expectancy of fatal cases (LEF); (ii) cure fraction (CF) as proportion of patients with same death rates as the general population; (iii) time to cure (TTC) as time to reach 5-year conditional relative survival (CRS) >95%. RESULTS: LEF ranged from 10 years for chronic lymphocytic leukaemia patients to <6 months for those with liver, pancreas, brain, gallbladder and lung cancers. It was 7.7 years for patients with prostate cancer at age 65-74 years and >5 years for women with breast cancer. The CF was 94% for testis, 87% for thyroid cancer in women and 70% in men, 86% for skin melanoma in women and 76% in men, 66% for breast, 63% for prostate and <10% for liver, lung and pancreatic cancers. TTC was <5 years for testis and thyroid cancer patients diagnosed below age 55 years, and <10 years for stomach, colorectal, corpus uteri and melanoma patients of all ages. For breast and prostate cancers, a small excess (CRS < 95%) remained for at least 15 years. CONCLUSIONS: Estimates from this analysis should help to reduce unneeded medicalization and costs. They represent an opportunity to improve patients' quality of life.
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Melanoma , Neoplasias , Neoplasias Cutáneas , Adolescente , Adulto , Anciano , Europa (Continente)/epidemiología , Femenino , Humanos , Esperanza de Vida , Masculino , Persona de Mediana Edad , Neoplasias/epidemiología , Neoplasias/terapia , Calidad de Vida , Sistema de Registros , Tasa de Supervivencia , Adulto JovenRESUMEN
OBJECTIVES: To estimate total direct health care costs associated to diagnosis and treatment of women with breast cancer in Italy, and to investigate their distribution by service type according to the disease pathway and patient characteristics. METHODS: Data on patients provided by population-based Cancer Registries are linked at individual level with data on health-care services and corresponding claims from administrative databases. A combination of cross-sectional approach and a threephase of care decomposition model with initial, continuing and final phases-of-care defined according to time occurred since diagnosis and disease outcome is adopted. Direct estimation of cancer-related costs is obtained. RESULTS: Study cohort included 49,272 patients, 15.2% were in the initial phase absorbing 42% of resources, 79.7% in the continuing phase absorbing 44% of resources and 5.1% in the final phase absorbing 14% of resources. Hospitalization was the most important cost driver, accounting for over 55% of the total costs. CONCLUSIONS: This paper represents the first attempt in Italy to estimate the economic burden of cancer at population level taking into account the entire disease pathway and using multiple current health care databases. The evidence produced by the study can be used to better plan resources allocation. The model proposed is replicable to countries with individual health care information on services and claims.
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Neoplasias de la Mama/economía , Atención a la Salud/economía , Atención a la Salud/estadística & datos numéricos , Gastos en Salud/estadística & datos numéricos , Neoplasias de la Mama/patología , Estudios Transversales , Femenino , Hospitalización/economía , Humanos , Revisión de Utilización de Seguros , Italia , Sistema de Registros , Estudios RetrospectivosRESUMEN
Importance: Conjunctival melanoma (CM) is a rare ocular tumor. Estimates of incidence and survival of patients with CM are important to researchers and policy makers. Objective: To estimate incidence and survival of patients with CM in Europe. Design, Setting, and Participants: This population-based cohort study used data from 41 European cancer registries adhering to the RARECAREnet project. All individuals diagnosed as having malignant CM from January 1995 to December 2007 coded according to the International Classification of Diseases for Oncology, Third Edition codes C69.0 (conjunctiva) and 8720-8780 (melanoma) were included. Analysis began March 2019. Main Outcomes and Measures: Trend estimates for incidence and for 5-year relative survival (the ratio of the measured survival of patients to the expected survival in the general population for the same country, age, sex, and calendar year). Crude, age-standardized, and bayesian incidence rates were calculated. Five-year relative survival was calculated by the Ederer II method with the cohort and period approach. Results: A total of 724 patients 15 years or older (512 [70.7%] were 55 years or older; 366 [50.6%] were female) were analyzed with an overall crude incidence of CM (per 1â¯000â¯000 person/y) of 0.46 (95% CI, 0.42-0.49). Crude incidence was similar in men and women (0.48; 95% CI, 0.44-0.54 and 0.46; 95% CI, 0.41-0.51, respectively) and increased with age. Age-standardized incidence increased over time only in men and was the highest in Norway and the Netherlands (more than 0.70). Only 1 case in 14 years was estimated to occur in Iceland vs about 20 cases per year in large countries such as France and Germany. Percentage of 5-year survival (83.5 overall; 95% CI, 78.6-87.3) was not different between adult and elderly patients but showed large geographical disparities across European regions (range, 66-89) and improved markedly in male patients (from 76 in 1995-1998 to 86 in 2003-2007, with a difference of 10.2 [95% CI, 1.3-19.2]; P < .05) becoming similar to that of women in the last period. Conclusions and Relevance: Although these data are only available through 2007 and based on registries not uniformly covering the European population, the study provides the first Europe-wide estimates of the incidence and relative survival of patients with CM using population-based data. Geographical differences in survival indicate room for outcome improvement in Southern, Northern, and Eastern European countries.
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Neoplasias de la Conjuntiva/epidemiología , Melanoma/epidemiología , Sistema de Registros , Adolescente , Adulto , Distribución por Edad , Anciano , Conjuntiva/patología , Neoplasias de la Conjuntiva/diagnóstico , Europa (Continente)/epidemiología , Femenino , Humanos , Incidencia , Masculino , Melanoma/diagnóstico , Persona de Mediana Edad , Estudios Retrospectivos , Distribución por Sexo , Tasa de Supervivencia/tendencias , Adulto JovenRESUMEN
BACKGROUND: Age, sex, stage, histotype, and surgery are the most recognized prognostic factors for malignant pleural mesothelioma (MPM). Tumor volume (TV) was suggested as an alternative prognostic evaluation. We aimed to assess the prognostic role of Tumor, Node, Metastases (TNM) versus TV and number of pleural sites (NPS). PATIENTS AND METHODS: Information on stage, TV, and NPS was collected for 52 MPM patients (pts) at our institution from 2009 to 2012. Baseline computed tomography imaging was performed to define TNM, TV, and NPS. Pts were divided in 3 stage groups: early (I-II), III, and IV. A dedicated computer system calculated TV. Pts were divided in 2 groups according to mean baseline TV (483 cm3). NPS was defined on the basis of the NPS macroscopically involved by disease (1-3). The association between TNM, tumor size (T), TV, NPS, TV and NPS, and overall survival was assessed using Cox models adjusted for age, sex, histology, and treatment. RESULTS: Most pts were male; mean age was 62 years. We showed an association between TV, TNM, and T. Stage III (hazard ratio [HR], 4.71; P = .02) and IV (HR, 7.40; P < .01), T3 (HR, 5.07; P < .01) and T4 (HR, 5.09; P < .01), TV > 483 cm3 (HR, 3.47; P < .01) and NPS 2 (HR, 3.00; P = .08) and 3 (HR, 6.05; P < .01) were predictive of worse survival. However, the TV and NPS combination performed better than TV, NPS, and TNM alone as a prognostic classifier. CONCLUSION: We showed that TV is related to TNM staging and T, in particular. Improved prognostic performance might be achievable using quantitative clinical staging combining TV and NPS.
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Neoplasias Pulmonares/diagnóstico , Mesotelioma/diagnóstico , Estadificación de Neoplasias/métodos , Pleura/diagnóstico por imagen , Neoplasias Pleurales/diagnóstico , Carga Tumoral , Anciano , Femenino , Humanos , Neoplasias Pulmonares/mortalidad , Neoplasias Pulmonares/patología , Masculino , Mesotelioma/mortalidad , Mesotelioma/patología , Mesotelioma Maligno , Metástasis de la Neoplasia , Neoplasias Pleurales/mortalidad , Neoplasias Pleurales/patología , Pronóstico , Análisis de Supervivencia , Tomografía Computarizada por Rayos XRESUMEN
BACKGROUND: The RARECAREnet project has updated the estimates of the burden of the 198 rare cancers in each European country. Suspecting that scant data could affect the reliability of statistical analysis, we employed a Bayesian approach to estimate the incidence of these cancers. METHODS: We analyzed about 2,000,000 rare cancers diagnosed in 2000-2007 provided by 83 population-based cancer registries from 27 European countries. We considered European incidence rates (IRs), calculated over all the data available in RARECAREnet, as a valid a priori to merge with country-specific observed data. Therefore we provided (1) Bayesian estimates of IRs and the yearly numbers of cases of rare cancers in each country; (2) the expected time (T) in years needed to observe one new case; and (3) practical criteria to decide when to use the Bayesian approach. RESULTS: Bayesian and classical estimates did not differ much; substantial differences (>10%) ranged from 77 rare cancers in Iceland to 14 in England. The smaller the population the larger the number of rare cancers needing a Bayesian approach. Bayesian estimates were useful for cancers with fewer than 150 observed cases in a country during the study period; this occurred mostly when the population of the country is small. CONCLUSION: For the first time the Bayesian estimates of IRs and the yearly expected numbers of cases for each rare cancer in each individual European country were calculated. Moreover, the indicator T is useful to convey incidence estimates for exceptionally rare cancers and in small countries; it far exceeds the professional lifespan of a medical doctor.
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Neoplasias/epidemiología , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Teorema de Bayes , Niño , Preescolar , Europa (Continente)/epidemiología , Humanos , Incidencia , Lactante , Recién Nacido , Persona de Mediana Edad , Sistema de Registros , Reproducibilidad de los Resultados , Adulto JovenRESUMEN
BACKGROUND: Rare cancers pose challenges for diagnosis, treatments, and clinical decision making. Information about rare cancers is scant. The RARECARE project defined rare cancers as those with an annual incidence of less than six per 100â000 people in European Union (EU). We updated the estimates of the burden of rare cancers in Europe, their time trends in incidence and survival, and provide information about centralisation of treatments in seven European countries. METHODS: We analysed data from 94 cancer registries for more than 2 million rare cancer diagnoses, to estimate European incidence and survival in 2000-07 and the corresponding time trends during 1995-2007. Incidence was calculated as the number of new cases divided by the corresponding total person-years in the population. 5-year relative survival was calculated by the Ederer-2 method. Seven registries (Belgium, Bulgaria, Finland, Ireland, the Netherlands, Slovenia, and the Navarra region in Spain) provided additional data for hospitals treating about 220â000 cases diagnosed in 2000-07. We also calculated hospital volume admission as the number of treatments provided by each hospital rare cancer group sharing the same referral pattern. FINDINGS: Rare cancers accounted for 24% of all cancers diagnosed in the EU during 2000-07. The overall incidence rose annually by 0.5% (99·8% CI 0·3-0·8). 5-year relative survival for all rare cancers was 48·5% (95% CI 48·4 to 48·6), compared with 63·4% (95% CI 63·3 to 63·4) for all common cancers. 5-year relative survival increased (overall 2·9%, 95% CI 2·7 to 3·2), from 1999-2001 to 2007-09, and for most rare cancers, with the largest increases for haematological tumours and sarcomas. The amount of centralisation of rare cancer treatment varied widely between cancers and between countries. The Netherlands and Slovenia had the highest treatment volumes. INTERPRETATION: Our study benefits from the largest pool of population-based registries to estimate incidence and survival of about 200 rare cancers. Incidence trends can be explained by changes in known risk factors, improved diagnosis, and registration problems. Survival could be improved by early diagnosis, new treatments, and improved case management. The centralisation of treatment could be improved in the seven European countries we studied. FUNDING: The European Commission (Chafea).
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Neoplasias/epidemiología , Neoplasias/terapia , Enfermedades Raras/epidemiología , Enfermedades Raras/terapia , Instituciones Oncológicas , Atención a la Salud , Europa (Continente)/epidemiología , Femenino , Hospitalización/estadística & datos numéricos , Humanos , Incidencia , Masculino , Neoplasias/mortalidad , Enfermedades Raras/mortalidad , Sistema de Registros , Tasa de SupervivenciaRESUMEN
OBJECTIVES: This collaborative study, based on data collected by the network of Italian Cancer Registries (AIRTUM), describes the burden of rare cancers in Italy. Estimated number of new rare cancer cases yearly diagnosed (incidence), proportion of patients alive after diagnosis (survival), and estimated number of people still alive after a new cancer diagnosis (prevalence) are provided for about 200 different cancer entities. MATERIALS AND METHODS: Data herein presented were provided by AIRTUM population- based cancer registries (CRs), covering nowadays 52% of the Italian population. This monograph uses the AIRTUM database (January 2015), which includes all malignant cancer cases diagnosed between 1976 and 2010. All cases are coded according to the International Classification of Diseases for Oncology (ICD-O-3). Data underwent standard quality checks (described in the AIRTUM data management protocol) and were checked against rare-cancer specific quality indicators proposed and published by RARECARE and HAEMACARE (www.rarecarenet.eu; www.haemacare.eu). The definition and list of rare cancers proposed by the RARECAREnet "Information Network on Rare Cancers" project were adopted: rare cancers are entities (defined as a combination of topographical and morphological codes of the ICD-O-3) having an incidence rate of less than 6 per 100,000 per year in the European population. This monograph presents 198 rare cancers grouped in 14 major groups. Crude incidence rates were estimated as the number of all new cancers occurring in 2000-2010 divided by the overall population at risk, for males and females (also for gender-specific tumours).The proportion of rare cancers out of the total cancers (rare and common) by site was also calculated. Incidence rates by sex and age are reported. The expected number of new cases in 2015 in Italy was estimated assuming the incidence in Italy to be the same as in the AIRTUM area. One- and 5-year relative survival estimates of cases aged 0-99 years diagnosed between 2000 and 2008 in the AIRTUM database, and followed up to 31 December 2009, were calculated using complete cohort survival analysis. To estimate the observed prevalence in Italy, incidence and follow-up data from 11 CRs for the period 1992-2006 were used, with a prevalence index date of 1 January 2007. Observed prevalence in the general population was disentangled by time prior to the reference date (≤2 years, 2-5 years, ≤15 years). To calculate the complete prevalence proportion at 1 January 2007 in Italy, the 15-year observed prevalence was corrected by the completeness index, in order to account for those cancer survivors diagnosed before the cancer registry activity started. The completeness index by cancer and age was obtained by means of statistical regression models, using incidence and survival data available in the European RARECAREnet data. RESULTS: In total, 339,403 tumours were included in the incidence analysis. The annual incidence rate (IR) of all 198 rare cancers in the period 2000-2010 was 147 per 100,000 per year, corresponding to about 89,000 new diagnoses in Italy each year, accounting for 25% of all cancer. Five cancers, rare at European level, were not rare in Italy because their IR was higher than 6 per 100,000; these tumours were: diffuse large B-cell lymphoma and squamous cell carcinoma of larynx (whose IRs in Italy were 7 per 100,000), multiple myeloma (IR: 8 per 100,000), hepatocellular carcinoma (IR: 9 per 100,000) and carcinoma of thyroid gland (IR: 14 per 100,000). Among the remaining 193 rare cancers, more than two thirds (No. 139) had an annual IR <0.5 per 100,000, accounting for about 7,100 new cancers cases; for 25 cancer types, the IR ranged between 0.5 and 1 per 100,000, accounting for about 10,000 new diagnoses; while for 29 cancer types the IR was between 1 and 6 per 100,000, accounting for about 41,000 new cancer cases. Among all rare cancers diagnosed in Italy, 7% were rare haematological diseases (IR: 41 per 100,000), 18% were solid rare cancers. Among the latter, the rare epithelial tumours of the digestive system were the most common (23%, IR: 26 per 100,000), followed by epithelial tumours of head and neck (17%, IR: 19) and rare cancers of the female genital system (17%, IR: 17), endocrine tumours (13% including thyroid carcinomas and less than 1% with an IR of 0.4 excluding thyroid carcinomas), sarcomas (8%, IR: 9 per 100,000), central nervous system tumours and rare epithelial tumours of the thoracic cavity (5%with an IR equal to 6 and 5 per 100,000, respectively). The remaining (rare male genital tumours, IR: 4 per 100,000; tumours of eye, IR: 0.7 per 100,000; neuroendocrine tumours, IR: 4 per 100,000; embryonal tumours, IR: 0.4 per 100,000; rare skin tumours and malignant melanoma of mucosae, IR: 0.8 per 100,000) each constituted <4% of all solid rare cancers. Patients with rare cancers were on average younger than those with common cancers. Essentially, all childhood cancers were rare, while after age 40 years, the common cancers (breast, prostate, colon, rectum, and lung) became increasingly more frequent. For 254,821 rare cancers diagnosed in 2000-2008, 5-year RS was on average 55%, lower than the corresponding figures for patients with common cancers (68%). RS was lower for rare cancers than for common cancers at 1 year and continued to diverge up to 3 years, while the gap remained constant from 3 to 5 years after diagnosis. For rare and common cancers, survival decreased with increasing age. Five-year RS was similar and high for both rare and common cancers up to 54 years; it decreased with age, especially after 54 years, with the elderly (75+ years) having a 37% and 20% lower survival than those aged 55-64 years for rare and common cancers, respectively. We estimated that about 900,000 people were alive in Italy with a previous diagnosis of a rare cancer in 2010 (prevalence). The highest prevalence was observed for rare haematological diseases (278 per 100,000) and rare tumours of the female genital system (265 per 100,000). Very low prevalence (<10 prt 100,000) was observed for rare epithelial skin cancers, for rare epithelial tumours of the digestive system and rare epithelial tumours of the thoracic cavity. COMMENTS: One in four cancers cases diagnosed in Italy is a rare cancer, in agreement with estimates of 24% calculated in Europe overall. In Italy, the group of all rare cancers combined, include 5 cancer types with an IR>6 per 100,000 in Italy, in particular thyroid cancer (IR: 14 per 100,000).The exclusion of thyroid carcinoma from rare cancers reduces the proportion of them in Italy in 2010 to 22%. Differences in incidence across population can be due to the different distribution of risk factors (whether environmental, lifestyle, occupational, or genetic), heterogeneous diagnostic intensity activity, as well as different diagnostic capacity; moreover heterogeneity in accuracy of registration may determine some minor differences in the account of rare cancers. Rare cancers had worse prognosis than common cancers at 1, 3, and 5 years from diagnosis. Differences between rare and common cancers were small 1 year after diagnosis, but survival for rare cancers declined more markedly thereafter, consistent with the idea that treatments for rare cancers are less effective than those for common cancers. However, differences in stage at diagnosis could not be excluded, as 1- and 3-year RS for rare cancers was lower than the corresponding figures for common cancers. Moreover, rare cancers include many cancer entities with a bad prognosis (5-year RS <50%): cancer of head and neck, oesophagus, small intestine, ovary, brain, biliary tract, liver, pleura, multiple myeloma, acute myeloid and lymphatic leukaemia; in contrast, most common cancer cases are breast, prostate, and colorectal cancers, which have a good prognosis. The high prevalence observed for rare haematological diseases and rare tumours of the female genital system is due to their high incidence (the majority of haematological diseases are rare and gynaecological cancers added up to fairly high incidence rates) and relatively good prognosis. The low prevalence of rare epithelial tumours of the digestive system was due to the low survival rates of the majority of tumours included in this group (oesophagus, stomach, small intestine, pancreas, and liver), regardless of the high incidence rate of rare epithelial cancers of these sites. This AIRTUM study confirms that rare cancers are a major public health problem in Italy and provides quantitative estimations, for the first time in Italy, to a problem long known to exist. This monograph provides detailed epidemiologic indicators for almost 200 rare cancers, the majority of which (72%) are very rare (IR<0.5 per 100,000). These data are of major interest for different stakeholders. Health care planners can find useful information herein to properly plan and think of how to reorganise health care services. Researchers now have numbers to design clinical trials considering alternative study designs and statistical approaches. Population-based cancer registries with good quality data are the best source of information to describe the rare cancer burden in a population.
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Neoplasias/epidemiología , Neoplasias/prevención & control , Adolescente , Adulto , Distribución por Edad , Anciano , Anciano de 80 o más Años , Neoplasias del Sistema Nervioso Central/epidemiología , Neoplasias del Sistema Nervioso Central/prevención & control , Niño , Preescolar , Bases de Datos Factuales , Neoplasias del Sistema Digestivo/epidemiología , Neoplasias del Sistema Digestivo/prevención & control , Neoplasias de las Glándulas Endocrinas/epidemiología , Neoplasias de las Glándulas Endocrinas/prevención & control , Europa (Continente)/epidemiología , Neoplasias del Ojo/epidemiología , Neoplasias del Ojo/prevención & control , Femenino , Estudios de Seguimiento , Neoplasias de los Genitales Masculinos/epidemiología , Neoplasias de los Genitales Masculinos/prevención & control , Neoplasias de Cabeza y Cuello/epidemiología , Neoplasias de Cabeza y Cuello/prevención & control , Humanos , Incidencia , Lactante , Recién Nacido , Italia/epidemiología , Masculino , Persona de Mediana Edad , Neoplasias/diagnóstico , Neoplasias/mortalidad , Neoplasias de Células Germinales y Embrionarias/epidemiología , Neoplasias de Células Germinales y Embrionarias/prevención & control , Neoplasias Glandulares y Epiteliales/epidemiología , Neoplasias Glandulares y Epiteliales/prevención & control , Tumores Neuroendocrinos/epidemiología , Tumores Neuroendocrinos/prevención & control , Prevalencia , Sistema de Registros/estadística & datos numéricos , Estudios Retrospectivos , Factores de Riesgo , Distribución por Sexo , Tasa de Supervivencia , Neoplasias Torácicas/epidemiología , Neoplasias Torácicas/prevención & controlRESUMEN
BACKGROUND: Overall survival after cancer is frequently used when assessing a health care service's performance as a whole. It is mainly used by the public, politicians and the media, and is often dismissed by clinicians because of the heterogeneous mix of different cancers, risk factors and treatment modalities. Here we give survival details for all cancers combined in Europe, correlating it with economic variables to suggest reasons for differences. METHODS: We computed age and cancer site case-mix standardised relative survival for all cancers combined (ACRS) for 29 countries participating in the EUROCARE-5 project with data on more than 7.5million cancer cases from 87 population-based cancer registries, using complete and period approach. RESULTS: Denmark, United Kingdom (UK) and Eastern European countries had lower survival than neighbouring countries. Five-year ACRS has been increasing throughout Europe, and substantial increases, between 1999-2001 and 2005-2007, have been achieved in countries where survival was lower in the past. Five-year ACRS for men and women are positively correlated with macro-economic variables like the Gross Domestic Product (GDP) and Total National Expenditure on Health (TNEH) (R2 about 70%). Countries with recent larger increases in GDP and TNEH had greater increases in cancer survival. CONCLUSIONS: ACRS serves to compare all cancer survival in Europe taking account of the geographical variability in case-mixes. The EUROCARE-5 data on ACRS confirm previous EUROCARE findings. Survival appears to correlate with macro-economic determinants, particularly with investments in the health care system.
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BACKGROUND: In Europe skin melanoma (SM) survival has increased over time. The aims were to evaluate recent trends and differences between countries and regions of Europe. METHODS: Relative survival (RS) estimates and geographical comparisons were based on 241,485 patients aged 15years and over with a diagnosis of invasive SM in Europe (2000-2007). Survival time trends during 1999-2007 were estimated using the period approach, for 213,101 patients. Age, gender, sub-sites and morphology subgroups were considered. RESULTS: In European patients, estimated 5-year RS was 83% (95% confidence interval, CI 83-84%). The highest values were found for patients resident in Northern (88%; 87-88%) and Central (88%; 87-88%) Europe, followed by Ireland and United Kingdom (UK) (86%; 85-86%) and Southern Europe (83%; 82-83%). The lowest survival was in Eastern Europe (74%; 74-75%). Within regions the intercountry absolute difference in percentage points of RS varied from 4% (North) to 34% (East). RS decreased markedly with patients' age and was higher in women than men. Differences according to SM morphology and skin sub-sites also emerged. Survival has slightly increased from 1999 to 2007, with a small improvement in Northern and the most pronounced improvement in Eastern Europe. DISCUSSION: SM survival is high and still increasing in European patients. The gap between Northern and Southern and especially Eastern European countries, although still present, diminished over time. Differences in stage distribution at diagnosis may explain most of the geographical differences. However, part of the improvement in survival may be attributed to overdiagnosis from early diagnosis practices.
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BACKGROUND: This work presents relative survival estimates regarding urinary tract tumours among adult patients (age⩾15years) diagnosed in Europe. It reports on survival estimates of cases diagnosed in 2000-2007, and on survival time trends from 1999-2001 to 2005-2007. METHODS: Data on 677,340 adult urinary tract tumour patients, (429,154 cases of invasive and non-invasive bladder and 248,186 cases of invasive kidney cancers) diagnosed between 2000 and 2007 were provided by 86 population-based cancer registries from 29 European countries. The complete approach was used to estimate survival in 2000-2007; the period approach was used to estimate survival over time. RESULTS: The age-standardised 5-year relative survival for patients with kidney tumours diagnosed in Europe during 2000-2007 was 60%. The best prognosis was observed in Southern and Central Europe and prognosis improved in all regions along the time period. For invasive and non-invasive patients with bladder tumours combined the age-standardised 5-year relative survival in Europe was 68%. The best prognosis was observed in Southern and Northern Europe. However, in Scotland and The Netherlands the relative survival was significantly lower, although the survival estimates for these two countries were based on invasive tumours only. CONCLUSIONS: Differences in registration practices affect comparisons of survival values between European countries, especially in patients with urinary bladder cancers. The between-country variation in survival is influenced by the varying use of diagnostic investigation in urinary tract tumours. Further data on stage at diagnosis can help to elucidate the influence of diagnostic intensity or early diagnosis on the survival patterns.
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BACKGROUND: Survival and cure rates for childhood cancers in Europe have greatly improved over the past 40 years and are mostly good, although not in all European countries. The EUROCARE-5 survival study estimates survival of children diagnosed with cancer between 2000 and 2007, assesses whether survival differences among European countries have changed, and investigates changes from 1999 to 2007. METHODS: We analysed survival data for 157,499 children (age 0-14 years) diagnosed between Jan 1, 1978 and Dec 31, 2007. They came from 74 population-based cancer registries in 29 countries. We calculated observed, country-weighted 1-year, 3-year, and 5-year survival for major cancers and all cancers combined. For comparison between countries, we used the corrected group prognosis method to provide survival probabilities adjusted for multiple confounders (sex, age, period of diagnosis, and, for all cancers combined without CNS cancers, casemix). Age-adjusted survival differences by area and calendar period were calculated with period analysis and were given for all cancers combined and the major cancers. FINDINGS: We analysed 59,579 cases. For all cancers combined for children diagnosed in 2000-07, 1-year survival was 90.6% (95% CI 90.2-90.9), 3-year survival was 81.0 % (95% CI 80.5-81.4), and 5-year survival was 77.9% (95% CI 77.4-78.3). For all cancers combined, 5-year survival rose from 76.1% (74.4-77.7) for 1999-2001, to 79.1% (77.3-80.7) for 2005-07 (hazard ratio 0.973, 95% CI 0.965-0.982, p<0.0001). The greatest improvements were in eastern Europe, where 5-year survival rose from 65.2% (95% CI 63.1-67.3) in 1999-2001, to 70.2% (67.9-72.3) in 2005-07. Europe-wide average yearly change in mortality (hazard ratio) was 0.939 (95% CI 0.919-0.960) for acute lymphoid leukaemia, 0.959 (0.933-0.986) for acute myeloid leukaemia, and 0.940 (0.897-0.984) for non-Hodgkin lymphoma. Mortality for all of Europe did not change significantly for Hodgkin's lymphoma, Burkitt's lymphoma, CNS tumours, neuroblastoma, Wilms' tumour, Ewing's sarcoma, osteosarcoma, and rhabdomyosarcoma. Disparities for 5-year survival persisted between countries and regions, ranging from 70% to 82% (for 2005-07). INTERPRETATION: Several reasons might explain persisting inequalities. The lack of health-care resources is probably most important, especially in some eastern European countries with limited drug supply, lack of specialised centres with multidisciplinary teams, delayed diagnosis and treatment, poor management of treatment, and drug toxicity. In the short term, cross-border care and collaborative programmes could help to narrow the survival gaps in Europe. FUNDING: Italian Ministry of Health, European Commission, Compagnia di San Paolo Foundation.
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Neoplasias/mortalidad , Adolescente , Niño , Preescolar , Europa (Continente) , Humanos , Lactante , Recién Nacido , Factores de TiempoRESUMEN
This paper describes the usage and the performance evaluation of the completeness index method in the 'Surveillance of Rare Cancers in Europe project' (RARECARE) for estimating rare cancer prevalence in Europe. The 15-year prevalence at 1st January 2003 for 255 cancers is obtained from a pool of 22 RARECARE cancer registries (CRs). Incidence and survival models are applied to the RARECARE database to estimate the parameters from which the completeness indices are calculated. Complete prevalence is obtained adjusting the observed 15-year prevalence by the completeness index, to account for those cancer survivors diagnosed before the CR activity started. Main factors influencing the performance of the completeness index method for rare cancers are the same as for common cancers: age distribution of incidence and lethality of the cancer. For cancers occurring in the elderly, with low survival rates and consequently a restricted number of long-term survivors we obtained completeness indices higher than 0.9. Values lower than 0.7 correspond to those cancers with good prognosis and/or incidence more concentrated at the younger ages, indicating that 15 years of follow up are insufficient to detect all prevalent cases. Validation analysis shows that for a restricted subgroup of rare cancers with very low incidence and low survival, the completeness indices were not able to adequately correct the observed prevalence even considering a registration period of 20 years. On average, sensitivity analyses show a slight overestimation of complete prevalence for rare and common cancers whose increasing incidence is known in literature. RARECARE is the largest project on rare cancers conducted to date. Improving health care programs for cancer survivors is a public health priority and prevalence data which provides important information in this field should be regularly asked to Member States and included in the EU health statistics.
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Modelos Estadísticos , Neoplasias/epidemiología , Enfermedades Raras/epidemiología , Sistema de Registros/estadística & datos numéricos , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Europa (Continente)/epidemiología , Femenino , Estudios de Seguimiento , Humanos , Lactante , Recién Nacido , Masculino , Persona de Mediana Edad , Prevalencia , Pronóstico , Adulto JovenRESUMEN
Short-term effects of air pollutants on respiratory mortality and morbidity have been consistently reported but usually studied separately. To more completely assess air pollution effects, we studied hospitalisations for respiratory diseases together with out-of-hospital respiratory deaths. A time-stratified case-crossover study was carried out in six Italian cities from 2001 to 2005. Daily particulate matter (particles with a 50% cut-off aerodynamic diameter of 10 µm (PM10)) and nitrogen dioxide (NO2) associations with hospitalisations for respiratory diseases (n = 100 690), chronic obstructive pulmonary disease (COPD) (n = 38 577), lower respiratory tract infections (LRTI) among COPD patients (n = 9886) and out-of-hospital respiratory deaths (n = 5490) were estimated for residents aged ≥35 years. For an increase of 10 µg·m(-3) in PM10, we found an immediate 0.59% (lag 0-1 days) increase in hospitalisations for respiratory diseases and a 0.67% increase for COPD; the 1.91% increase in LRTI hospitalisations lasted longer (lag 0-3 days) and the 3.95% increase in respiratory mortality lasted 6 days. Effects of NO2 were stronger and lasted longer (lag 0-5 days). Age, sex and previous ischaemic heart disease acted as effect modifiers for different outcomes. Analysing multiple rather than single respiratory events shows stronger air pollution effects. The temporal relationship between the pollutant increases and hospitalisations or mortality for respiratory diseases differs.
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Contaminantes Atmosféricos/análisis , Contaminación del Aire/efectos adversos , Trastornos Respiratorios/epidemiología , Adulto , Anciano , Anciano de 80 o más Años , Ciudades , Estudios Cruzados , Exposición a Riesgos Ambientales/efectos adversos , Femenino , Hospitalización/estadística & datos numéricos , Humanos , Italia/epidemiología , Masculino , Persona de Mediana Edad , Material Particulado/análisis , Enfermedad Pulmonar Obstructiva Crónica/epidemiología , Enfermedad Pulmonar Obstructiva Crónica/etiología , Enfermedad Pulmonar Obstructiva Crónica/mortalidad , Trastornos Respiratorios/etiología , Trastornos Respiratorios/mortalidad , Infecciones del Sistema Respiratorio/epidemiología , Infecciones del Sistema Respiratorio/etiología , Infecciones del Sistema Respiratorio/mortalidad , Factores de TiempoRESUMEN
AIMS AND BACKGROUND: The project Surveillance of rare cancers in Italy (RITA) provides, for the first time, estimates of the burden of rare cancers in Italy based on the list of rare cancers proposed in collaboration with the European project Surveillance of Rare Cancers in Europe (RARECARE). METHODS: RITA analyzed data from Italian population-based cancer registries (CR). The period of diagnosis was 1988 to 2002, and vital status information was available up to December 31, 2003. Incidence rates were estimated for the period 1995-2002, survival for the years 2000-2002 (with the period method of Brenner), and complete prevalence at January 1, 2003. RESULTS: Rare cancers are those with an incidence <6/100,000/year. In Italy, every year there are 60,000 new diagnoses of rare cancers corresponding to 15% of all new cancer diagnoses. Five-year relative survival was on the average worse for rare cancers (53%) than for common cancers (73%). A total of 770,000 patients were living in Italy in 2008 with a diagnosis of a rare cancer, 22% of the total cancer prevalence. CONCLUSIONS: Our estimates constitute a useful base for further research and support the idea that rare cancers are a public health problem that deserves attention. Centers of expertise for rare cancers that pool cases, expertise and resources could ensure an adequate clinical management for these diseases. Our data also showed that cancer registries are suitable sources of data to estimate incidence, prevalence and survival for rare cancers and should continue to monitoring rare cancers in Italy.
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Neoplasias/epidemiología , Vigilancia de la Población , Enfermedades Raras/epidemiología , Adolescente , Adulto , Distribución por Edad , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Humanos , Incidencia , Lactante , Italia/epidemiología , Persona de Mediana Edad , Neoplasias/mortalidad , Prevalencia , Enfermedades Raras/mortalidad , Sistema de Registros , Tasa de SupervivenciaRESUMEN
BACKGROUND: Although numerous studies have provided evidence of an association between ambient air pollution and acute cardiac morbidity, little is known regarding susceptibility factors. METHODS: We conducted a time-stratified case-crossover study in 9 Italian cities between 2001 and 2005 to estimate the short-term association between airborne particles with aerodynamic diameter <10 µm (PM10) and cardiac hospital admissions, and to identify susceptible groups. We estimated associations between daily PM10 and all cardiac diseases, acute coronary syndrome, arrhythmias and conduction disorders, and heart failure for 167,895 hospitalized subjects ≥ 65 years of age. Effect modification was assessed for age, sex, and a priori-defined hospital diagnoses (mainly cardiovascular and respiratory conditions) from the previous 2 years as susceptibility factors. RESULTS: The increased risk of cardiac admissions was 1.0% (95% confidence interval [CI] = 0.7% to 1.4%) per 10 µg/m PM10 at lag 0. The effect was slightly higher for heart failure (lag 0, 1.4% [0.7% to 2.0%]) and acute coronary syndrome (lag 0-1, 1.1% [0.4% to 1.9%]) than for arrhythmias (lag 0, 1.0% [0.2% to 1.8%]). Women were at higher risk of heart failure (2.0% [1.2% to 2.8%]; test for interaction, P = 0.022), whereas men were at higher risk of arrhythmias (1.9% [0.8% to 3.0%]; test for interaction, P = 0.020). Subjects aged 75-84 years were at higher risk of admissions for coronary events (2.6% [1.5% to 3.8%]; test for interaction, P = 0.001). None of the identified chronic conditions was a clear marker of susceptibility. CONCLUSIONS: An important effect of PM10 on hospitalizations for cardiac diseases was found in Italian cities. Sex and older age were susceptibility factors.
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Contaminantes Atmosféricos/toxicidad , Contaminación del Aire/efectos adversos , Cardiopatías/inducido químicamente , Exposición por Inhalación/efectos adversos , Material Particulado/toxicidad , Admisión del Paciente/estadística & datos numéricos , Factores de Edad , Anciano , Anciano de 80 o más Años , Contaminantes Atmosféricos/análisis , Contaminación del Aire/análisis , Estudios Cruzados , Modificador del Efecto Epidemiológico , Femenino , Cardiopatías/epidemiología , Humanos , Exposición por Inhalación/análisis , Italia/epidemiología , Modelos Logísticos , Masculino , Material Particulado/análisis , Factores de Riesgo , Factores SexualesRESUMEN
The rarity or the asymptomatic character of endocrine tumours results in a lack of epidemiological studies on their incidence and survival patterns. The aim of this study was to describe the incidence, prevalence and survival of endocrine tumours using a large database, which includes cancer patients diagnosed from 1978 to 2002, registered in 89 population-based cancer registries (CRs) with follow-up until 31st December 2003. These data give an unique overview of the burden of endocrine carcinomas in Europe. A list of tumour entities based on the third International Classification of Diseases for Oncology was provided by the project Surveillance of rare cancer in Europe (RARECARE) project. Over 33,594 cases of endocrine carcinomas were analysed in this study. Incidence rates increased with age and were highest in patients 65 years of age or older. In 2003, more than 315,000 persons in the EU (27 countries) were alive with a past diagnosis of a carcinoma of endocrine organs. The incidence of pituitary carcinoma equalled four per 1,000,000 person years and showed the strongest decline in survival with increasing age. Thyroid cancer showed the highest crude incidence rates (four per 100,000 person years) and was the only entity with a gender difference: (female-to-male ratio: 2:9). Parathyroid carcinoma was the rarest endocrine entity with two new cases per 10,000,000 person years. For adrenal carcinoma, the most remarkable observations were a higher survival for women compared to men (40% compared to 32%, respectively) and a particularly low relative survival of 24% in patients 65 years of age or older. More high quality studies on rare cancers, with additional information, e.g. on stage and therapeutic approach, are needed and may be of help in partly explaining the observed variation in survival.