1,721,196 research outputs found
[The contribution of the Italian association of cancer registries (AIRTUM)]
No full textThe study of cluster requires the ability to identify, with accuracy and completeness, the health events of interest and their geographical location and time of occurrence. For rare and complex diseases, such as childhood cancers, it is possible to observe a significant health migration from the place of residence, which makes the detection even more complex. The best tool to identify these rare diseases is represented by cancer registries (CRs). In fact, CRs collect, through many sources, information related to tumours that arise in the population resident in their areas of activity. The number of the sources of information has increased thanks to the computerization of health services. The availability of multiple sources of information increases the completeness of data collection overcoming the limits of a single source, and makes it possible to describe the diagnostic-therapeutic course and the outcome of the cases. Among all data sources, for childhood cancers the model 1.01, which summarize the clinical information of the cases treated in one of the Italian Association of paediatric haematology and oncology (AIEOP) centres, is relevant. Moreover, CRs produce reliable and comparable data due to the use of international rules and classifications for the definition of the topography and morphology of cancer, for the date of diagnosis, and for quality checks. In Italy, the Italian association of cancer registries (AIRTUM) coordinates the activities of 45 population CRs, both general and specialized (by age or tumour type). AIRTUM involves a population of over 6.7 million citizens under the age of 20 years, approximately 60% of the total resident population. AIRTUM plays a role of coordination, support, and harmonization for Italian CRs through training, accreditation, and a shared database, it promotes and participates in national and international collaboration involving scientific societies (AIEOP, Italian Association of medical oncology - AIOM, Italian Federation of volunteer-based cancer organisations - FAVO) and institutions (Italian national Institute of health, Italian national cancer institute of Milan) and performs analysis on key epidemiological indicators (incidence, mortality, survival, and prevalence). The AIRTUM database contains 19,650 cancer cases in child/ adolescent patients diagnosed from 1967 to 2011. The epidemiology of childhood cancers has been the subject of two AIRTUM monographs published in 2008 and in 2013 in collaboration with AIEOP; the latter includes specific contributions on polluted sites, on the psychological side, and on the experience of the parents of young cancer patients. The collaboration between different professionals, needs, and knowledge is the policy followed by AIRTUM to build up a complete picture of cancer epidemiology, even of childhood cancer, in Italy
Italian cancer figures, report 2011: survival of cancer patients in italy.
No full textAIRTUM Working Grou
Lung cancer incidence in young women (20-49 years) reached incidence in young men
No full textIl grafico, basato sui dati AIRTUM 1992-
2007,mostra l’andamento dell’incidenza di
tumore del polmone nei giovani adulti di
età 20-49 anni in entrambi i sessi.
[Italian Cancer Figures - Report 2013. Multiple tumours]
No full textAbstract
OBJECTIVES: This collaborative study, based on data collected by the network of Italian association of cancer registries (AIRTUM), provides updated estimates on the incidence risk of multiple primary cancer (MP). The objective is to highlight and quantify the bidirectional associations between different oncological diseases. The quantification of the excess or decreased risk of further cancers in cancer patients, in comparison with the general population, may contribute to understand the aetiology of cancer and to address clinical follow-up.
MATERIAL AND METHODS: Data herein presented were provided by AIRTUM population-based cancer registries, which cover nowadays 48% of the Italian population. This monograph utilizes the AIRTUM database December 2012), considering all malignant cancer cases diagnosed between 1976 and 2010. All cases are coded according to ICD-O-3. Non-melanoma skin cancer cases, cases based on death certificate only, cases based on autopsy only, and cases with follow-up time equal to zero were excluded. To define multiple primaries, IARC-IACR rules were adopted (http://www.iacr.com.fr/MPrules_july2004.pdf). Data were subjected to standard quality control procedures (described in the AIRTUM data management protocol) and specific quality control checks defined for the present study. A cohort of cancer patients was followed over time from first cancer diagnosis until the date of second cancer diagnosis, death, or the end of follow-up, to evaluate whether the number of observed second cancer cases was greater than expected. Person years at risk (PY) were computed by first cancer site, geographic area (North, Centre, South and Islands), attained age, and attained calendar-year group. All second cancers diagnosed in the cohort's patients were included in the observed numbers of cases. The expected number of cancer cases was computed multiplying the accumulated PY by the expected rates, calculated from the AIRTUM database stratified by cancer site, geographic area, age, and calendar-year group. The Standardized Incidence Ratio (SIR) was calculated as the ratio of observed to expected cancer cases. The Excess Absolute Risk (EAR) beyond the expected amount were calculated subtracting the expected number of subsequent cancers from the observed number of cancer cases; the difference was then divided by the PY and the number of cancer cases in excess (or deficit) was expressed per 1,000 PY. Confidence intervals were stated at 95%. The two months (60 days) after first cancer diagnosis were defined as "synchronicity period", and in the main analysis observed and expected cases during this period were excluded. It was estimated the excess risk in the period after first diagnosis (≥ 0 months), excluding the synchronicity period (≥ 2 months), and during the following periods: 2-11, 12-59, 60-119 and 120 months after diagnosis. First-cancer-site-and-gender-specific sheets are presented, reporting both SIRs and EARs.
RESULTS: For 5,979,338 person-years a cohort of 1,635,060 cancer patients (880,361 males and 754,699 females) diagnosed between 1976 and 2010 was followed. The mean follow-up length was 14 years. Overall, 85,399 metachronous (latency ≥2 months) cancers were observed, while 77,813 were expected during the study period: SIR: 1.10 (95%CI 1.09-1.10), EAR: 1.32 x 1,000 person-years (95%CI 1.19 - 1.46). The SIR was 1.08 (95%CI 1.08-1.09) for men (54,518 observed and 50,260 expected) and 1.12 (95%CI 1.11-1.13) for women (30,881/27,553), and the EAR 1.61 (95%CI 1.37-1.84) and 1.08 x 1,000 person-years (95%CI 0.93-1.24), respectively.Moreover, during the first two months after first cancer diagnosis (synchronous period) 14,807 cancers were observed while 3,536 were expected (SIR: 4.16; 95%CI 4.09-4.22); the SIR was 4.08 (95%CI 4.00-4.16) for men and 4.32 (95%CI 4.20-4.45) for women.The mean age of patients at first cancer diagnosis was 67.0 years among males and 65.8 among females.The risk of MP was related to age being higher for younger patients and lower for older ones. In relation to the time of first cancer diagnosis, the SIR was very high at the beginning and then decreased, although remaining constantly over 1, and then rose over time. No strong differences were evident across the different incidence periods, which all showed an increased MP risk.Women had higher SIRs than expected for 18 cancer sites, men for 12. The statistically significantly SIRs lower than 1 were 2 and 8, respectively. Increased overall MP risk was observed for patients of both sexes with a first primary in the oral cavity (SIR men: 1.93; SIR women: 1.48), pharynx (SIR men: 2.13; SIR women: 1.99), larynx (SIR men: 1.57; SIR women: 1.79), oesophagus (SIR men: 1.45; SIR women: 1.41), lung (SIR men: 1.09; SIR women: 1.13), kidney (SIR men: 1.14; SIR women: 1.15), urinary bladder (SIR men: 1.29; SIR women: 1.22), thyroid (SIR: 1.22 in both sexes), Hodgkin lymphoma (SIR men: 1.59; SIR women: 1.94), and non-Hodgkin lymphoma (SIR men: 1.13; SIR women: 1.12), and for the heterogeneous group "other sites" (SIR men: 1.09; SIR women: 1.07). Moreover, men had a higher MP risk if the first cancer was in the testis (SIR: 1.24), while the same was true for women with gallbladder (SIR: 1.21), skin melanoma (SIR: 1.17), bone (SIR: 1.41), breast (SIR: 1.12), cervix uteri (SIR: 1.23) and corpus uteri (SIR: 1.23), and ovarian cancer (SIR: 1.18). On the contrary, a first liver or pancreas cancer were associated with a decreased MP risk in both sexes (liver SIR: 0.86 and 0.81 for men and women, respectively; pancreas SIR: 0.70 and 0.78 for men and women, respectively), as were those of colon (SIR: 0.93), rectum (SIR: 0.83), gallbladder (SIR: 0.80), prostate (SIR: 0.93), mesothelioma (SIR: 0.65), and central nervous system (SIR: 0.82) among men. Among the cancers for which the EAR is statistically significant, those with higher Excess Absolute Risk of MP were those of the oral cavity (EAR: 16.0 x 1,000 person-years in men and 5.4 in women), pharynx (17.6 and 9.1), larynx (11.4 and 8.8), and oesophagus (8.5 and 4.8).
DISCUSSION: This descriptive study provides quantitative information on the risk of developing a second cancer in an Italian population-based cohort of approximately 1.65 million cancer patients, compared to the risk of the general population. During the follow-up time (on average 14 years) cancer patients had an MP risk that was 10% higher in comparison to the general population and an Excess Absolute Risk of 1.32 x 1,000 person-years. Study of MPs and their risk measures are dependent on methods used in the calculation. The definition of MP is not univocal and using different rules can greatly change the number of cancers in a patient with MPs. However, the AIRTUM cancer registries adopt the same recommendations for MP definition. This monograph was therefore made possible by the shared rules and standards used by AIRTUM registries. The cancer site-specific sheets, which represent the core of the monograph, can be useful to highlight and quantify the bidirectional associations among different diseases and therefore provide indications for clinical follow-up. Lifestyle changes in more healthful directions can have a positive effect in the cancer patient population and should always be recommended.
PMID: 24259384 [PubMed - in process
[A comparative analysis between regional mesothelioma registries and cancer registries: results of the ReNaM-AIRTUM project].
No full textOBJECTIVES:
to assess the agreement on row data and incidence rates between regional mesothelioma registries (CORs) and population cancer registries (CRs) in Italy, and to contribute in harmonizing the procedures used in identifying the date of incidence and the morphology of mesothelioma cases.
SETTING E PARTICIPANTS:
the mesothelioma cases registered by 19 CRs and by 9 out of 19 CORs were included in the study. Some CORs were not able to participate in the study, because there were no active CRs in their areas.
MAIN OUTCOME MEASURES:
agreement on cases defined as mesotheliomas by the two types of registries; Cohen's k was used for the evaluation of the agreement on morphology on specific mesothelioma (ICD-O-3 90513-90533) and mesothelioma not otherwise specified (NOS) (ICD-O-3 90503); instead, Odds Ratio was calculated to evaluate the direction of the discrepancy. Difference among incidence rates were calculated using data collected by the two types of registries. It was also made a comparison between dates of incidence.
RESULTS:
the comparison among the registered data by the two different types of registry showed a high concordance (>80%), especially in the areas where there is a continuous exchange of data. Only in a few areas a lower concordance was observed. The agreement between specific and non-specific morphology showed a fairly wide range and lower values than the calculation of the positive agreement. CORs used the specific morphology (ICD-O-3 90503-90533) with higher frequency compared to CRs. The CRs incidence standardized rates are higher when only cases defined as «certain » by ReNaM are considered; on the opposite the CORs rates are higher when all cases defined as «certain, probable and possible» are considered.
CONCLUSIONS:
the study permitted to compare and bring out the different procedures used in identifying the date of incidence of cases and morphology definition. This represents a first step of a cooperative discussion process among the involved registries: the working group hope it will end with the implementation of shared guidelines
AIRTUM: Linfoma di Hodgkin nei bambini e adolescenti italiani [Hodgkin lymphoma in Italian children and adolescents]
No full textAbstract non disponibil
Italian cancer figures, report 2013: Multiple tumours
No full textThis collaborative study, based on data collected by the network of Italian association of cancer registries (AIRTUM), provides updated estimates on the incidence risk of multiple primary cancer (MP). The objective is to highlight and quantify the bidirectional associations between different oncological diseases. The quantification of the excess or decreased risk of further cancers in cancer patients, in comparison with the general population, may contribute to understand the aetiology of cancer and to address clinical follow-up
I numeri del cancro in Italia 2011
No full textUno strumento utile per tutti. Non solo per gli addetti ai lavori, oncologi ed epidemiologi, ma anche per i cittadini e le Istituzioni. Questa pubblicazione nasce dall’esigenza di colmare un vuoto. Finora nessuno di noi disponeva di un testo agile e di facile lettura che contenesse i numeri del cancro relativi all’anno in corso. Quanti nuovi tumori saranno diagnosticati in Italia nel 2011? Quanti saranno i decessi per tumore nel 2011? Qual è l’effetto dell’invecchiamento della popolazione sulle diagnosi di cancro? Sono solo alcune delle domande a cui intende rispondere questo volume, che trae ispirazione dal prestigioso “Cancer Facts & Figures” della American Cancer Society. Il numero di malati di cancro in Italia è in netto aumento, data la copresenza di una serie di fattori che vanno dall’invecchiamento demografico, all’avanzamento e alla maggiore diffusione delle tecniche diagnostiche, alla migliorata efficacia dei trattamenti. Quella oncologica è una patologia di massa che non può più essere considerata solo sotto il profilo della risposta all’emergenza sanitaria, ma necessita di forme di supporto prolungate nel tempo, comprendendo misure che facilitino il reinserimento sociale e
lavorativo. Disporre di dati epidemiologici costantemente aggiornati potrà permettere a tutti gli attori della sanità di pianificare al meglio gli interventi necessari. In un momento di contrazione delle risorse disponibili, razionalizzare le spese rappresenta la sfida decisiva. È evidente come le campagne
di prevenzione siano decisive per trasmettere ai cittadini messaggi chiari sull’importanza di uno stile di vita sano (attività fisica, no al fumo e dieta corretta). Non solo. Nel capitolo sui confronti geografici nazionali risulta chiaramente come, per quanto riguarda la sopravvivenza, si mantenga ancora un divario Nord-Sud, a sfavore delle Regioni meridionali. La disparità territoriale delle cure si traduce nel mancato accesso alle terapie per alcuni malati di tumore. Siamo perfettamente consapevoli dell’importanza di adeguarsi alla realtà sanitaria, sempre più regionalizzata. Ma il nostro ruolo è anche quello di garantire un monitoraggio costante. Le disparità regionali nelle condizioni assistenziali dei pazienti oncologici hanno implicazioni significative sui costi sociali. I risparmi, pur necessari, vanno previsti su altri aspetti, di minore gravità, dell’assistenza sanitaria. In questo volume non ci siamo limitati a scattare una fotografia dell’esistente,
ma siamo andati oltre. Un capitolo infatti è dedicato all’esame degli andamenti temporali di incidenza e mortalità, essenziale per valutare l’efficacia degli interventi preventivi e dei nuovi trattamenti. E abbiamo voluto anche guardare oltre i confini del nostro Paese. Nel capitolo dedicato ai confronti geografici internazionali abbiamo analizzato l’incidenza e la mortalità in Italia rispetto a quelle dei Paesi Scandinavi (NORDCAN), del sistema di registrazione statunitense (SEER) e di quello della Gran Bretagna. Questa pubblicazione è la prima di una serie
che porterà, ogni anno, ad un costante aggiornamento dei dati. Nel capitolo dedicato alle singole neoplasie, oltre ai cosiddetti big killer (tumore della mammella, della prostata, del polmone e del colon-retto), abbiamo approfondito il carcinoma dello stomaco, del pancreas e del fegato. Nelle prossime edizioni daremo sicuramente spazio anche ad altre
neoplasie. Infine un ringraziamento particolare a tutti coloro che hanno permesso che questa iniziativa prendesse forma: il tavolo di lavoro AIOM-AIRTUM, i Consigli Direttivi AIOM e AIRTUM e i Registri tumori dell’AIRTUM
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