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239 results on '"Ciampichini R"'

51. The Burden of Severe Hypoglicaemias and Diabetes Ketoacidosis: A Population-Based Study

Author

Ciampichini, R, Cozzolino, P, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, CIAMPICHINI, ROBERTA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, MANTOVANI, LORENZO GIOVANNI, CESANA, GIANCARLO, Ciampichini, R, Cozzolino, P, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, CIAMPICHINI, ROBERTA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, MANTOVANI, LORENZO GIOVANNI, and CESANA, GIANCARLO

Published
2014

52. Economic Burden of Urticaria Requiring Hospitalization: Analysis from an Administrative Database

Author

Ciampichini, R, Cozzolino, P, Cortesi, P, Madotto, F, Fornari, C, Chiodini, V, Mantovani, L, Cesana, G, CIAMPICHINI, ROBERTA, CORTESI, PAOLO ANGELO, MADOTTO, FABIANA, FORNARI, CARLA, MANTOVANI, LORENZO GIOVANNI, CESANA, GIANCARLO, Ciampichini, R, Cozzolino, P, Cortesi, P, Madotto, F, Fornari, C, Chiodini, V, Mantovani, L, Cesana, G, CIAMPICHINI, ROBERTA, CORTESI, PAOLO ANGELO, MADOTTO, FABIANA, FORNARI, CARLA, MANTOVANI, LORENZO GIOVANNI, and CESANA, GIANCARLO

Published
2014

53. Burden of diabetes mellitus estimated with a longitudinal population-based study using administrative databases

Author

Scalone, L, Cesana, G, Furneri, G, Ciampichini, R, Beck Peccoz, P, Chiodini, V, Mangioni, S, Orsi, E, Fornari, C, Mantovani, L, SCALONE, LUCIANA, CESANA, GIANCARLO, CIAMPICHINI, ROBERTA, MANGIONI, SILVIA, FORNARI, CARLA, MANTOVANI, LORENZO GIOVANNI, Scalone, L, Cesana, G, Furneri, G, Ciampichini, R, Beck Peccoz, P, Chiodini, V, Mangioni, S, Orsi, E, Fornari, C, Mantovani, L, SCALONE, LUCIANA, CESANA, GIANCARLO, CIAMPICHINI, ROBERTA, MANGIONI, SILVIA, FORNARI, CARLA, and MANTOVANI, LORENZO GIOVANNI

Abstract

Objective: To assess the epidemiologic and economic burden of diabetes mellitus (DM) from a longitudinal population-based study.Research Design and Methods: Lombardy Region includes 9.9 million individuals. Its DM population was identified through a data warehouse (DENALI), which matches with a probabilistic linkage demographic, clinical and economic data of different Healthcare Administrative databases. All individuals, who, during the year 2000 had an hospital discharge with a IDC-9 CM code 250.XX, and/or two consecutive prescriptions of drugs for diabetes (ATC code A10XXXX) within one year, and/or an exemption from co-payment healthcare costs specific for DM, were selected and followed up to 9 years. We calculated prevalence, mortality and healthcare costs (hospitalizations, drugs and outpatient examinations/visits) from the National Health Service's perspective.Results: We identified 312,223 eligible subjects. The study population (51% male) had a mean age of 66 (from 0.03 to 105.12) years at the index date. Prevalence ranged from 0.4% among subjects aged ≤45 years to 10.1% among those >85 years old. Overall 43.4 deaths per 1,000 patients per year were estimated, significantly (p<0.001) higher in men than women. Overall, 3,315€/patient-year were spent on average: hospitalizations were the cost driver (54.2% of total cost). Drugs contributed to 31.5%, outpatient claims represented 14.3% of total costs. Thirty-five percent of hospital costs were attributable to cerebro2/cardiovascular reasons, 6% to other complications of DM, and 4% to DM as a main diagnosis. Cardiovascular drugs contributed to 33.5% of total drug costs, 21.8% was attributable to class A (16.7% to class A10) and 4.3% to class B (2.4% to class B01) drugs.Conclusions: Merging different administrative databases can provide with many data from large populations observed for long time periods. DENALI shows to be an efficient instrument to obtain accurate estimates of burden of diseases such as diabetes

Published
2014

58. Survival trends in European cancer patients diagnosed from 1988 to 1999

Author

Verdecchia, Arduino, Guzzinati, Stefano, Francisci, Silvia, De Angelis, Roberta, Bray, Freddie, Allemani, Claudia, Tavilla, Andrea, Santaquilani, Mariano, Sant, Milena, Gavin, A., Black, R. J., Brewster, D. H., Steward, J. A., Oberaigner, W., Hackl, M., Van Eycken, E., Verstreken, Martine, Holub, J., Jurickova, L., Storm, H. H., Engholm, G., Hakulinen, T., Belot, A., Hã©delin, G., Velten, M., Tron, I., Le Gall, E., Launoy, G., Guizard, A. V., Faivre, J., Bouvier, A. M., Carli, P. M., Maynadiã©, M., Danzon, A., Buemi, A., Tretarre, B., Lacour, B., Desandes, E., Colonna, M., Moliniã©, F., Bara, S., Schvartz, C., Ganry, O., Grosclaude, P., Brenner, H., Kaatsch, P., Ziegler, H., Tryggvadottir, L., Comber, H., Berrino, F., Allemani, C., Baili, P., Ciampichini, R., Ciccolallo, L., Gatta, G., Micheli, A., Sant, M., Sowe, S., Zigon, G., Tagliabue, G., Contiero, P., Bellã¹, F., Giacomin, A., Ferretti, S., Dal Maso, D. Serraino L., De Dottori, M., De Paoli, A., Zanier, L., Vercelli, M., Orengo, M. A., Casella, C., Quaglia, A., Pannelli, F., Federico, M., Rashid, I., Cirilli, C., Fusco, M., Traina, A., De Lisi, V., Bozzani, F., Magnani, C., Pastore, G., Tumino, R., La Rosa, M. G., Spata, E., Sigona, A., Mangone, L., Falcini, F., Foca, F., Giorgetti, S., Senatore, G., Iannelli, A., Budroni, M., Zanetti, R., Patriarca, S., Rosso, S., Piffer, S., Franchini, S., Paci, E., Crocetti, E., La Rosa, F., Stracci, F., Cassetti, T., Zambon, P., Guzzinati, S., Caldora, M., Capocaccia, R., Carrani, E., Francisci, S., Grande, E., Inghelmann, R., Lenz, H., Martina, L., Roazzi, P., Santaquilani, M., Simonetti, A., Tavilla, A., Verdecchia, A., Dalmas, M., Langmark, F., Bray, F., Johannesen, T. B., Rachtan, J., Gã³åºdåº, S., Siudowska, U., Mè©zyk, R., Bielska-Lasota, M., Zwierko, M., Pinheiro, P. S., Primic-Žakelj, M. P. -. Z., Mateos, A., Izarzugaza, I., Torrella-Ramos, A., Zurriaga, Oscar, Marcos-Gragera, R., Vilardell, M. L., Izquierdo, A., Martinez-Garcia, C., Sã¡nchez, M. J., Navarro, C., Chirlaque, M. D., Peris-Bonet, R., Ardanaz, E., Moreno, C., Galceran, J., Klint, Ã. …., Talbã¤ck, M., Jundt, G., Usel, M., Frick, H., Ess, S. M., Bordoni, A., Luthi, J. C., Konzelmann, I., Probst, N., Lutz, J. M., Pury, P., Visser, O., Otter, R., Schaapveld, M., Coebergh, J. W. W., Janssen-Heijnen, M. L., Van Der Heijden, Louis, Greenberg, D. C., Coleman, M. P., Woods, Laura, Moran, T., Forman, D., Cooper, N., Roche, M., Verne, J., Mã¸ller, H., Meechan, D., Poole, J., Lawrence, G., Stiller, C., Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, National Centre for Epidemiology, Surveillance and Health Promotion, Istituto Superiore di Sanita [Rome], Department of Preventive and Predictive Medicine, Unit of Etiological Epidemiology and Prevention, Istituto Nazionale per lo Studio e la Cura dei Tumori, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC ( CEF2P / CARCINO ), and Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC )

Subjects
Male, Cancer Research, Survival, MESH : Mortality, MESH : Age Distribution, MESH : Aged, Colonoscopy, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, 0302 clinical medicine, MESH: Aged, 80 and over, Prostate, Residence Characteristics, Neoplasms, 80 and over, MESH : Female, MESH: Neoplasms, 030212 general & internal medicine, MESH: Residence Characteristics, Young adult, cancer survival, MESH : Sex Distribution, Aged, 80 and over, MESH: Aged, MESH: Middle Aged, medicine.diagnostic_test, Relative survival, Europe, Population registries, Time trends, Adolescent, Adult, Age Distribution, Aged, Female, Humans, Middle Aged, Mortality, Sex Distribution, Survival Analysis, Young Adult, Oncology, MESH: Sex Distribution, MESH : Adult, 3. Good health, medicine.anatomical_structure, MESH: Young Adult, 030220 oncology & carcinogenesis, MESH: Survival Analysis, MESH : Residence Characteristics, medicine.medical_specialty, MESH : Male, MESH : Europe, MESH : Young Adult, Socio-culturale, Rectum, [SDV.CAN]Life Sciences [q-bio]/Cancer, 03 medical and health sciences, Internal medicine, MESH : Adolescent, medicine, MESH : Middle Aged, MESH : Aged, 80 and over, Cervix, MESH: Age Distribution, Survival analysis, MESH: Adolescent, MESH: Humans, MESH: Mortality, business.industry, MESH : Humans, Cancer, MESH: Adult, medicine.disease, MESH : Neoplasms, MESH: Male, Surgery, MESH: Europe, MESH : Survival Analysis, business, MESH: Female
Abstract

International audience; We analysed data from 49 cancer registries in 18 European countries over the period 1988-1999 to delineate time trends in cancer survival. Survival increased in Europe over the study period for all cancer sites that were considered. There were major survival increases in 5 year age-adjusted relative survival for prostate (from 58% to 79%), colon and rectum (from 48% to 54% men and women), and breast (from 74% to 83%). Improvements were also significant for stomach (from 22% to 24%), male larynx (from 62% to 64%), skin melanoma (from 78% to 83%), Hodgkin disease (from 77% to 83%), non-Hodgkin lymphoma (from 49% to 56%), leukaemias (from 37% to 42%), and for all cancers combined (from 34% to 39% in men, and from 52% to 59% in women). Survival did not change significantly for female larynx, lung, cervix or ovary. The largest increases in survival typically occurred in countries with the lowest survival, and contributed to the overall reduction of survival disparities across Europe over the study period. Differences in the extent of PSA testing and mammographic screening, and increasing use of colonoscopy and faecal blood testing together with improving cancer care are probably the major underlying reasons for the improvements in survival for cancers of prostate, breast, colon and rectum. The marked survival improvements in countries with poor survival may indicate that these countries have made efforts to adopt the new diagnostic procedures and the standardised therapeutic protocols in use in more affluent countries.

Published
2009

59. The EUROCARE-4 database on cancer survival in Europe: data standardisation, quality control and methods of statistical analysis

Author

De Angelis, Roberta, Francisci, Silvia, Baili, Paolo, Marchesi, Francesca, Roazzi, Paolo, Belot, Aurã©lien, Crocetti, Emanuele, Pury, Pierre, Knijn, Arnold, Coleman, Michel, Capocaccia, Riccardo, Holub, J., Jurickova, L., Storm, H. H., Engholm, G., Hakulinen, T., Belot, A., Hã©delin, G., Velten, M., Tron, I., Le Gall, E., Launoy, G., Guizard, A. V., Faivre, J., Bouvier, A. M., Carli, P. M., Maynadiã©, M., Danzon, A., Buemi, A., Tretarre, B., Lacour, B., Desandes, E., Colonna, M., Moliniã©, F., Bara, S., Schvartz, C., Ganry, O., Grosclaude, P., Brenner, H., Kaatsch, P., Ziegler, H., Tryggvadottir, L., Comber, H., Berrino, F., Allemani, C., Baili, P., Ciampichini, R., Ciccolallo, L., Gatta, G., Micheli, A., Sant, M., Sowe, S., Zigon, G., Tagliabue, G., Contiero, P., Bellã¹, F., Giacomin, A., Ferretti, S., Dal Maso, D. Serraino L., De Dottori, M., De Paoli, A., Zanier, L., Vercelli, M., Orengo, M. A., Casella, C., Quaglia, A., Pannelli, F., Federico, M., Rashid, I., Cirilli, C., Fusco, M., Traina, A., De Lisi, V., Bozzani, F., Magnani, C., Pastore, G., Tumino, R., La Rosa, M. G., Spata, E., Sigona, A., Mangone, L., Falcini, F., Foca, F., Giorgetti, S., Senatore, G., Iannelli, A., Budroni, M., Zanetti, R., Patriarca, S., Rosso, S., Piffer, S., Franchini, S., Paci, E., Crocetti, E., La Rosa, F., Stracci, F., Cassetti, T., Zambon, P., Guzzinati, S., Caldora, M., Capocaccia, R., Carrani, E., Francisci, S., Grande, E., Inghelmann, R., Lenz, H., Martina, L., Roazzi, P., Santaquilani, M., Simonetti, A., Tavilla, A., Verdecchia, A., Dalmas, M., Langmark, F., Bray, F., Johannesen, T. B., Rachtan, J., Gã³åºdåº, S., Siudowska, U., Mè©zyk, R., Bielska-Lasota, M., Zwierko, M., Pinheiro, P. S., Primic-Žakelj, M. P. -. Z., Mateos, A., Izarzugaza, I., Torrella-Ramos, A., Zurriaga, Oscar, Marcos-Gragera, R., Vilardell, M. L., Izquierdo, A., Martinez-Garcia, C., Sã¡nchez, M. J., Navarro, C., Chirlaque, M. D., Peris-Bonet, R., Ardanaz, E., Moreno, C., Galceran, J., Klint, Ã. …., Talbã¤ck, M., Jundt, G., Usel, M., Frick, H., Ess, S. M., Bordoni, A., Luthi, J. C., Konzelmann, I., Probst, N., Lutz, J. M., Pury, P., Visser, O., Otter, R., Schaapveld, M., Coebergh, J. W. W., Janssen-Heijnen, M. L., Van Der Heijden, Louis, Greenberg, D. C., Coleman, M. P., Woods, Laura, Moran, T., Forman, D., Cooper, N., Roche, M., Verne, J., Mã¸ller, H., Meechan, D., Poole, J., Lawrence, G., Stiller, C., Gavin, A., Black, R. J., Brewster, D. H., Steward, J. A., Oberaigner, W., Hackl, M., Van Eycken, E., Verstreken, Martine, Service de Biostatistique, Hospices Civils de Lyon ( HCL ), Laboratoire de Biométrie et Biologie Evolutive ( LBBE ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique ( Inria ) -Centre National de la Recherche Scientifique ( CNRS ), Département des maladies chroniques et traumatismes, Institut de Veille Sanitaire (INVS), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC ( CEF2P / CARCINO ), Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ), Hospices Civils de Lyon (HCL), Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (UR 3181) (CEF2P / CARCINO), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)

Subjects
Cancer Research, MESH: Quality Control, computer.software_genre, MESH: Epidemiologic Methods, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, 0302 clinical medicine, Neoplasms, Medicine, MESH: Neoplasms, 030212 general & internal medicine, cancer survival, education.field_of_study, Database, Relative survival, Incidence (epidemiology), Europe, Population registries, Survival analysis, Vital statistics, Databases as Topic, Epidemiologic Methods, Humans, Quality Control, Oncology, MESH : Quality Control, 3. Good health, 030220 oncology & carcinogenesis, Population, MESH : Europe, MEDLINE, Socio-culturale, [SDV.CAN]Life Sciences [q-bio]/Cancer, MESH : Epidemiologic Methods, 03 medical and health sciences, education, MESH: Humans, business.industry, MESH : Humans, Cancer, medicine.disease, MESH : Neoplasms, Data quality, MESH: Europe, MESH : Databases as Topic, business, computer, MESH: Databases as Topic, International Classification of Diseases for Oncology
Abstract

International audience; This paper describes the collection, standardisation and checking of cancer survival data included in the EUROCARE-4 database. Methods for estimating relative survival are also described. Incidence and vital status data on newly diagnosed European cancer cases were received from 93 cancer registries in 23 countries, covering 151,400,000 people (35% of the participating country population). The third revision of the International Classification of Diseases for Oncology was used to specify tumour topography and morphology. Records were extensively checked for consistency and compatibility using multiple routines; flagged records were sent back for correction. An algorithm assigned standardised sequence numbers to multiple cancers. Only first malignant cancers were used to estimate relative survival from registry, year, sex and age-specific life tables. Age-adjusted and Europe-wide survival were also estimated. The database contains 13,814,573 cases diagnosed in 1978-2002; 92% malignant. A negligible proportion of records was excluded for major errors. Of 5,753,934 malignant adult cases diagnosed in 1995-2002, 5.3% were second or later cancers, 2.7% were known from death certificates only and 0.4% were discovered at autopsy. The remaining 5,278,670 cases entered the survival analyses, 90% of these had microscopic confirmation and 1.3% were censored alive after less than five years' follow-up. These indicators suggest satisfactory data quality that has improved since EUROCARE-3.

Published
2009

60. EUROCARE-4. Survival of cancer patients diagnosed in 1995-1999. Results and commentary

Author

Sant, Milena, Allemani, Claudia, Santaquilani, Mariano, Knijn, Arnold, Marchesi, Francesca, Capocaccia, Riccardo, Stiller, C., Gavin, A., Black, R. J., Brewster, D. H., Steward, J. A., Oberaigner, W., Hackl, M., Van Eycken, E., Verstreken, Martine, Holub, J., Jurickova, L., Storm, H. H., Engholm, G., Hakulinen, T., Belot, A., Hã©delin, G., Velten, M., Tron, I., Le Gall, E., Launoy, G., Guizard, A. V., Faivre, J., Bouvier, A. M., Carli, P. M., Maynadiã©, M., Danzon, A., Buemi, A., Tretarre, B., Lacour, B., Desandes, E., Colonna, M., Moliniã©, F., Bara, S., Schvartz, C., Ganry, O., Grosclaude, P., Brenner, H., Kaatsch, P., Ziegler, H., Tryggvadottir, L., Comber, H., Berrino, F., Allemani, C., Baili, P., Ciampichini, R., Ciccolallo, L., Gatta, G., Micheli, A., Sant, M., Sowe, S., Zigon, G., Tagliabue, G., Contiero, P., Bellã¹, F., Giacomin, A., Ferretti, S., Dal Maso, D. Serraino L., De Dottori, M., De Paoli, A., Zanier, L., Vercelli, M., Orengo, M. A., Casella, C., Quaglia, A., Pannelli, F., Federico, M., Rashid, I., Cirilli, C., Fusco, M., Traina, A., De Lisi, V., Bozzani, F., Magnani, C., Pastore, G., Tumino, R., La Rosa, M. G., Spata, E., Sigona, A., Mangone, L., Falcini, F., Foca, F., Giorgetti, S., Senatore, G., Iannelli, A., Budroni, M., Zanetti, R., Patriarca, S., Rosso, S., Piffer, S., Franchini, S., Paci, E., Crocetti, E., La Rosa, F., Stracci, F., Cassetti, T., Zambon, P., Guzzinati, S., Caldora, M., Capocaccia, R., Carrani, E., De Angelis, R., Francisci, S., Grande, E., Inghelmann, R., Lenz, H., Martina, L., Roazzi, P., Santaquilani, M., Simonetti, A., Tavilla, A., Verdecchia, A., Dalmas, M., Langmark, F., Bray, F., Johannesen, T. B., Rachtan, J., Gã³åºdåº, S., Siudowska, U., Mè©zyk, R., Bielska-Lasota, M., Zwierko, M., Pinheiro, P. S., Primic-Žakelj, M. P. -. Z., Mateos, A., Izarzugaza, I., Torrella-Ramos, A., Zurriaga, Oscar, Marcos-Gragera, R., Vilardell, M. L., Izquierdo, A., Martinez-Garcia, C., Sã¡nchez, M. J., Navarro, C., Chirlaque, M. D., Peris-Bonet, R., Ardanaz, E., Moreno, C., Galceran, J., Klint, Ã. …., Talbã¤ck, M., Jundt, G., Usel, M., Frick, H., Ess, S. M., Bordoni, A., Luthi, J. C., Konzelmann, I., Probst, N., Lutz, J. M., Pury, P., Visser, O., Otter, R., Schaapveld, M., Coebergh, J. W. W., Janssen-Heijnen, M. L., Van Der Heijden, Louis, Greenberg, D. C., Coleman, M. P., Woods, Laura, Moran, T., Forman, D., Cooper, N., Roche, M., Verne, J., Mã¸ller, H., Meechan, D., Poole, J., Lawrence, G., Department of Preventive and Predictive Medicine, Unit of Etiological Epidemiology and Prevention, Istituto Nazionale per lo Studio e la Cura dei Tumori, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC ( CEF2P / CARCINO ), and Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC )

Subjects
Male, Cancer Research, MESH : Age Distribution, MESH : Aged, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, 0302 clinical medicine, Neoplasms, Epidemiology, Medicine, MESH : Female, MESH: Neoplasms, 030212 general & internal medicine, MESH : Sex Distribution, MESH: Aged, MESH: Middle Aged, Relative survival, MESH: Sex Distribution, Population-based cancer registries, Middle Aged, MESH : Adult, Cancer survival, EUROCARE, Adolescent, Adult, Age Distribution, Aged, Europe, Female, Humans, Sex Distribution, Survival Analysis, Oncology, 3. Good health, 030220 oncology & carcinogenesis, MESH: Survival Analysis, Skin melanoma, Stage at diagnosis, medicine.medical_specialty, MESH : Male, MESH : Europe, Socio-culturale, [SDV.CAN]Life Sciences [q-bio]/Cancer, Age and sex, 03 medical and health sciences, MESH : Adolescent, MESH : Middle Aged, MESH: Age Distribution, Survival analysis, MESH: Adolescent, MESH: Humans, business.industry, Advanced stage, MESH : Humans, Cancer, MESH: Adult, medicine.disease, MESH : Neoplasms, MESH: Male, MESH: Europe, MESH : Survival Analysis, business, MESH: Female, Demography
Abstract

International audience; EUROCARE-4 analysed about three million adult cancer cases from 82 cancer registries in 23 European countries, diagnosed in 1995-1999 and followed to December 2003. For each cancer site, the mean European area-weighted observed and relative survival at 1-, 3-, and 5-years by age and sex are presented. Country-specific 1- and 5-year relative survival is also shown, together with 5-year relative survival conditional to surviving 1-year. Within-country variation in survival is analysed for selected cancers. Survival for most solid cancers, whose prognosis depends largely on stage at diagnosis (breast, colorectum, stomach, skin melanoma), was highest in Finland, Sweden, Norway and Iceland, lower in the UK and Denmark, and lowest in the Czech Republic, Poland and Slovenia. France, Switzerland and Italy generally had high survival, slightly below that in the northern countries. There were between-region differences in the survival for haematologic malignancies, possibly due to differences in the availability of effective treatments. Survival of elderly patients was low probably due to advanced stage at diagnosis, comorbidities, difficult access or lack of availability of appropriate care. For all cancers, 5-year survival conditional to surviving 1-year was higher and varied less with region, than the overall relative survival.

Published
2009

61. The cure of cancer: a european perspective

Author

Francisci, Silvia, Capocaccia, Riccardo, Grande, Enrico, Santaquilani, Mariano, Simonetti, Arianna, Allemani, Claudia, Gatta, Gemma, Sant, Milena, Zigon, Giulia, Bray, Freddie, Janssen-Heijnen, Maryska, Steward, J. A., Oberaigner, W., Hackl, M., Van Eycken, E., Verstreken, Martine, Holub, J., Jurickova, L., Storm, H. H., Engholm, G., Hakulinen, T., Belot, A., Hã©delin, G., Velten, M., Tron, I., Le Gall, E., Launoy, G., Guizard, A. V., Faivre, J., Bouvier, A. M., Carli, P. M., Maynadiã©, M., Danzon, A., Buemi, A., Tretarre, B., Lacour, B., Desandes, E., Colonna, M., Moliniã©, F., Bara, S., Schvartz, C., Ganry, O., Grosclaude, P., Brenner, H., Kaatsch, P., Ziegler, H., Tryggvadottir, L., Comber, H., Berrino, F., Allemani, C., Baili, P., Ciampichini, R., Ciccolallo, L., Gatta, G., Micheli, A., Sant, M., Sowe, S., Zigon, G., Tagliabue, G., Contiero, P., Bellã¹, F., Giacomin, A., Ferretti, S., Dal Maso, D. Serraino L., De Dottori, M., De Paoli, A., Zanier, L., Vercelli, M., Orengo, M. A., Casella, C., Quaglia, A., Pannelli, F., Federico, M., Rashid, I., Cirilli, C., Fusco, M., Traina, A., De Lisi, V., Bozzani, F., Magnani, C., Pastore, G., Tumino, R., La Rosa, M. G., Spata, E., Sigona, A., Mangone, L., Falcini, F., Foca, F., Giorgetti, S., Senatore, G., Iannelli, A., Budroni, M., Zanetti, R., Patriarca, S., Rosso, S., Piffer, S., Franchini, S., Paci, E., Crocetti, E., La Rosa, F., Stracci, F., Cassetti, T., Zambon, P., Guzzinati, S., Caldora, M., Capocaccia, R., Carrani, E., De Angelis, R., Francisci, S., Grande, E., Inghelmann, R., Lenz, H., Martina, L., Roazzi, P., Santaquilani, M., Simonetti, A., Tavilla, A., Verdecchia, A., Dalmas, M., Langmark, F., Bray, F., Johannesen, T. B., Rachtan, J., Gã³åºdåº, S., Siudowska, U., Mè©zyk, R., Bielska-Lasota, M., Zwierko, M., Pinheiro, P. S., Primic-Žakelj, M. P. -. Z., Mateos, A., Izarzugaza, I., Torrella-Ramos, A., Zurriaga, Oscar, Marcos-Gragera, R., Vilardell, M. L., Izquierdo, A., Martinez-Garcia, C., Sã¡nchez, M. J., Navarro, C., Chirlaque, M. D., Peris-Bonet, R., Ardanaz, E., Moreno, C., Galceran, J., Klint, Ã. …., Talbã¤ck, M., Jundt, G., Usel, M., Frick, H., Ess, S. M., Bordoni, A., Luthi, J. C., Konzelmann, I., Probst, N., Lutz, J. M., Pury, P., Visser, O., Otter, R., Schaapveld, M., Coebergh, J. W. W., Janssen-Heijnen, M. L., Van Der Heijden, Louis, Greenberg, D. C., Coleman, M. P., Woods, Laura, Moran, T., Forman, D., Cooper, N., Roche, M., Verne, J., Mã¸ller, H., Meechan, D., Poole, J., Lawrence, G., Stiller, C., Gavin, A., Black, R. J., Brewster, D. H., National Centre for Epidemiology, Surveillance and Health Promotion, Istituto Superiore di Sanita [Rome], Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Evaluative Epidemiology Unit, Fondazione IRCCS, Department of Preventive and Predictive Medicine, Unit of Etiological Epidemiology and Prevention, Istituto Nazionale per lo Studio e la Cura dei Tumori, Eindhoven Cancer Registry, Comprehensive Cancer Centre South, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC ( CEF2P / CARCINO ), and Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC )

Subjects
Male, Cancer Research, Colorectal cancer, MESH : Age Distribution, MESH : Aged, Gastroenterology, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, Prostate cancer, 0302 clinical medicine, Breast cancer, MESH: Aged, 80 and over, Colon and rectum cancer, Cure, Lung cancer, Relative survival, Statistical models, Stomach cancer, Oncology, Neoplasms, MESH : Female, MESH: Neoplasms, 030212 general & internal medicine, cancer survival, Aged, 80 and over, MESH: Aged, MESH : Prognosis, MESH: Middle Aged, Middle Aged, MESH : Adult, Prognosis, 3. Good health, Europe, MESH: Young Adult, 030220 oncology & carcinogenesis, MESH: Survival Analysis, Female, Adult, medicine.medical_specialty, Adolescent, MESH : Male, MESH : Europe, MESH : Young Adult, Socio-culturale, [SDV.CAN]Life Sciences [q-bio]/Cancer, MESH: Prognosis, 03 medical and health sciences, Young Adult, Age Distribution, Internal medicine, MESH : Adolescent, medicine, Humans, MESH : Middle Aged, MESH : Aged, 80 and over, MESH: Age Distribution, Aged, MESH: Adolescent, MESH: Humans, business.industry, MESH : Humans, Cancer, MESH: Adult, medicine.disease, Survival Analysis, MESH : Neoplasms, MESH: Male, Cancer registry, MESH: Europe, MESH : Survival Analysis, business, MESH: Female
Abstract

International audience; Cancer survival analyses based on cancer registry data do not provide direct information on the main aim of cancer treatment, the cure of the patient. In fact, classic survival indicators do not distinguish between patients who are cured, and patients who will die of their disease and in whom prolongation of survival is the main objective of treatment. In this study, we applied parametric cure models to the cancer incidence and follow-up data provided by 49 EUROCARE-4 (European Cancer Registry-based study, fourth edition) cancer registries, with the aims of providing additional insights into the survival of European cancer patients diagnosed from 1988 to 1999, and of investigating between-population differences. Between-country estimates the proportion of cured patients varied from about 4-13% for lung cancer, from 9% to 30% for stomach cancer, from 25% to 49% for colon and rectum cancer, and from 55% to 73% for breast cancer. For all cancers combined, estimates varied between 21% and 47% in men, and 38% and 59% in women and were influenced by the distribution of cases by cancer site. Countries with high proportions of cured and long fatal case survival times for all cancers combined were characterised by generally favourable case mix. For the European pool of cases both the proportion of cured and the survival time of fatal cases were associated with age, and increased from the early to the latest diagnosis period. The increases over time in the proportions of Europeans estimated cured of lung, stomach and colon and rectum cancers are noteworthy and suggest genuine progress in cancer control. The proportion of cured of all cancers combined is a useful general indicator of cancer control as it reflects progress in diagnosis and treatment, as well as success in the prevention of rapidly fatal cancers.

Published
2009

63. Long-term survival expectations of cancer patients in Europe in 2000-2002

Author

Brenner, Hermann, Francisci, Silvia, De Angelis, Roberta, Marcos-Gragera, Rafael, Verdecchia, Arduino, Gatta, Gemma, Allemani, Claudia, Ciccolallo, Laura, Coleman, Michel, Sant, Milena, Oberaigner, W., Hackl, M., Van Eycken, E., Verstreken, Martine, Holub, J., Jurickova, L., Storm, H. H., Engholm, G., Hakulinen, T., Belot, A., Hã©delin, G., Velten, M., Tron, I., Le Gall, E., Launoy, G., Guizard, A. V., Faivre, J., Bouvier, A. M., Carli, P. M., Maynadiã©, M., Danzon, A., Buemi, A., Tretarre, B., Lacour, B., Desandes, E., Colonna, M., Moliniã©, F., Bara, S., Schvartz, C., Ganry, O., Grosclaude, P., Kaatsch, P., Ziegler, H., Tryggvadottir, L., Comber, H., Berrino, F., Allemani, C., Baili, P., Ciampichini, R., Ciccolallo, L., Gatta, G., Micheli, A., Sant, M., Sowe, S., Zigon, G., Tagliabue, G., Contiero, P., Bellã¹, F., Giacomin, A., Ferretti, S., Serraino, D., Dal Maso, L., De Dottori, M., De Paoli, A., Zanier, L., Vercelli, M., Orengo, M. A., Casella, C., Quaglia, A., Pannelli, F., Federico, M., Rashid, I., Cirilli, C., Fusco, M., Traina, A., De Lisi, V., Bozzani, F., Magnani, C., Pastore, G., Tumino, R., La Rosa, M. G., Spata, E., Sigona, A., Mangone, L., Falcini, F., Foca, F., Giorgetti, S., Senatore, G., Iannelli, A., Budroni, M., Zanetti, R., Patriarca, S., Rosso, S., Piffer, S., Franchini, S., Paci, E., Crocetti, E., La Rosa, F., Stracci, F., Cassetti, T., Zambon, P., Guzzinati, S., Caldora, M., Capocaccia, R., Carrani, E., De Angelis, R., Francisci, S., Grande, E., Inghelmann, R., Lenz, H., Martina, L., Roazzi, P., Santaquilani, M., Simonetti, A., Tavilla, A., Verdecchia, A., Dalmas, M., Langmark, F., Bray, F., Johannesen, T. B., Rachtan, J., Gã³åºdåº, S., Siudowska, U., Mè©zyk, R., Bielska-Lasota, M., Zwierko, M., Pinheiro, P. S., Primic-Žakelj, M., Mateos, A., Izarzugaza, I., Torrella-Ramos, A., Zurriaga, Oscar, Marcos-Gragera, R., Vilardell, M. L., Izquierdo, A., Martinez-Garcia, C., Sã¡nchez, M. J., Navarro, C., Chirlaque, M. D., Peris-Bonet, R., Ardanaz, E., Moreno, C., Galceran, J., Klint, Ã. …., Talbã¤ck, M., Jundt, G., Usel, M., Frick, H., Ess, S. M., Bordoni, A., Luthi, J. C., Konzelmann, I., Probst, N., Lutz, J. M., Pury, P., Visser, O., Otter, R., Schaapveld, M., Coebergh, J. W. W., Janssen-Heijnen, M. L., Van Der Heijden, Louis, Greenberg, D. C., Woods, Laura, Moran, T., Forman, D., Cooper, N., Roche, M., Verne, J., Mã¸ller, H., Meechan, D., Poole, J., Lawrence, G., Stiller, C., Gavin, A., Black, R. J., Brewster, D. H., Steward, J. A., Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Evaluative Epidemiology Unit, Fondazione IRCCS, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Department of Preventive and Predictive Medicine, Unit of Etiological Epidemiology and Prevention, Istituto Nazionale per lo Studio e la Cura dei Tumori, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC ( CEF2P / CARCINO ), Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ), German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)

Subjects
Gerontology, Male, Cancer Research, MESH: Registries, Survival, MESH : Life Expectancy, MESH : Age Distribution, MESH : Aged, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, 0302 clinical medicine, MESH: Aged, 80 and over, Neoplasms, 80 and over, Medicine, Cancer registries, MESH: Neoplasms, MESH : Female, 030212 general & internal medicine, Registries, Young adult, MESH: Aged, Aged, 80 and over, MESH: Middle Aged, Relative survival, MESH : Adult, Middle Aged, MESH : Survival Rate, Prognosis, 3. Good health, Europe, Survival Rate, Oncology, MESH: Young Adult, 030220 oncology & carcinogenesis, MESH: Survival Analysis, Cohort, Period Analysis, Female, cancer survival - long term, MESH: Life Expectancy, Adult, MESH: Survival Rate, Period analysis, Adolescent, Age Distribution, Aged, Humans, Life Expectancy, Survival Analysis, Young Adult, MESH : Male, MESH : Europe, MESH : Young Adult, Socio-culturale, [SDV.CAN]Life Sciences [q-bio]/Cancer, 03 medical and health sciences, MESH : Adolescent, MESH : Middle Aged, MESH : Aged, 80 and over, Survival rate, MESH: Age Distribution, Survival analysis, MESH: Adolescent, MESH: Humans, business.industry, MESH : Humans, Cancer, MESH: Adult, medicine.disease, MESH : Neoplasms, MESH: Male, Life expectancy, MESH: Europe, MESH : Survival Analysis, business, MESH: Female, MESH : Registries, Demography
Abstract

International audience; Period analysis has been shown to provide more up-to-date estimates of long-term cancer survival rates than traditional cohort-based analysis. Here, we provide detailed period estimates of 5- and 10-year relative survival by cancer site, country, sex and age for calendar years 2000-2002. In addition, pan-European estimates of 1-, 5- and 10-year relative survival are provided. Overall, survival estimates were mostly higher than previously available cohort estimates. For most cancer sites, survival in countries from Northern Europe, Central Europe and Southern Europe was substantially higher than in the United Kingdom and Ireland and in countries from Eastern Europe. Furthermore, relative survival was also better in female than in male patients and decreased with age for most cancer sites.

Published
2009

64. Comparative cancer survival information in Europe

Author

Berrino, Franco, Verdecchia, Arduino, Lutz, Jean Michel, Lombardo, Claudio, Micheli, Andrea, Capocaccia, Riccardo, Black, R. J., Brewster, D. H., Steward, J. A., Oberaigner, W., Hackl, M., Van Eycken, E., Verstreken, Martine, Holub, J., Jurickova, L., Storm, H. H., Engholm, G., Hakulinen, T., Belot, A., Hã©delin, G., Velten, M., Tron, I., Le Gall, E., Launoy, G., Guizard, A. V., Faivre, J., Bouvier, A. M., Carli, P. M., Maynadiã©, M., Danzon, A., Buemi, A., Tretarre, B., Lacour, B., Desandes, E., Colonna, M., Moliniã©, F., Bara, S., Schvartz, C., Ganry, O., Grosclaude, P., Brenner, H., Kaatsch, P., Ziegler, H., Tryggvadottir, L., Comber, H., Berrino, F., Allemani, C., Baili, P., Ciampichini, R., Ciccolallo, L., Gatta, G., Micheli, A., Sant, M., Sowe, S., Zigon, G., Tagliabue, G., Contiero, P., Bellã¹, F., Giacomin, A., Ferretti, S., Dal Maso, D. Serraino L., De Dottori, M., De Paoli, A., Zanier, L., Vercelli, M., Orengo, M. A., Casella, C., Quaglia, A., Pannelli, F., Federico, M., Rashid, I., Cirilli, C., Fusco, M., Traina, A., De Lisi, V., Bozzani, F., Magnani, C., Pastore, G., Tumino, R., La Rosa, M. G., Spata, E., Sigona, A., Mangone, L., Falcini, F., Foca, F., Giorgetti, S., Senatore, G., Iannelli, A., Budroni, M., Zanetti, R., Patriarca, S., Rosso, S., Piffer, S., Franchini, S., Paci, E., Crocetti, E., La Rosa, F., Stracci, F., Cassetti, T., Zambon, P., Guzzinati, S., Caldora, M., Capocaccia, R., Carrani, E., De Angelis, R., Francisci, S., Grande, E., Inghelmann, R., Lenz, H., Martina, L., Roazzi, P., Santaquilani, M., Simonetti, A., Tavilla, A., Verdecchia, A., Dalmas, M., Langmark, F., Bray, F., Johannesen, T. B., Rachtan, J., Gã³åºdåº, S., Siudowska, U., Mè©zyk, R., Bielska-Lasota, M., Zwierko, M., Pinheiro, P. S., Primic-Žakelj, M. P. -. Z., Mateos, A., Izarzugaza, I., Torrella-Ramos, A., Zurriaga, Oscar, Marcos-Gragera, R., Vilardell, M. L., Izquierdo, A., Martinez-Garcia, C., Sã¡nchez, M. J., Navarro, C., Chirlaque, M. D., Peris-Bonet, R., Ardanaz, E., Moreno, C., Galceran, J., Klint, Ã. …., Talbã¤ck, M., Jundt, G., Usel, M., Frick, H., Ess, S. M., Bordoni, A., Luthi, J. C., Konzelmann, I., Probst, N., Lutz, J. M., Pury, P., Visser, O., Otter, R., Schaapveld, M., Coebergh, J. W. W., Janssen-Heijnen, M. L., Van Der Heijden, Louis, Greenberg, D. C., Coleman, M. P., Woods, Laura, Moran, T., Forman, D., Cooper, N., Roche, M., Verne, J., Mã¸ller, H., Meechan, D., Poole, J., Lawrence, G., Stiller, C., Gavin, A., Department of Preventive & Predictive Medicine, Fondazione IRCCS-Istituto Nazionale dei Tumori, Registre Genevois des Tumeurs, CHU Genève, Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC ( CEF2P / CARCINO ), Centre Hospitalier Régional Universitaire [Besançon] ( CHRU Besançon ) -Université Bourgogne Franche-Comté ( UBFC ) -Université de Franche-Comté ( UFC ), Carcinogénèse épithéliale : facteurs prédictifs et pronostiques - UFC (EA 3181) (CEF2P / CARCINO), Université de Franche-Comté (UFC), and Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon)

Subjects
Male, Pathology, medicine.medical_specialty, Cancer Research, MESH : Male, MESH : Europe, Socio-culturale, [SDV.CAN]Life Sciences [q-bio]/Cancer, MESH: Publications, [ SDV.CAN ] Life Sciences [q-bio]/Cancer, 03 medical and health sciences, 0302 clinical medicine, Neoplasms, Epidemiology of cancer, Medicine, Humans, MESH: Neoplasms, MESH : Female, 030212 general & internal medicine, Health planning, cancer survival, ComputingMilieux_MISCELLANEOUS, MESH: Humans, business.industry, Health Policy, MESH : Humans, Publications, Cancer survival, MESH : Publications, Descriptive epidemiology, MESH : Neoplasms, Survival Analysis, MESH: Male, 3. Good health, Europe, Female, Oncology, Chronic disease, MESH: Survival Analysis, 030220 oncology & carcinogenesis, MESH: Health Policy, MESH: Europe, MESH : Health Policy, MESH : Survival Analysis, business, MESH: Female, Humanities
Abstract

Franco Berrino*, Arduino Verdecchia, Jean Michel Lutz, Claudio Lombardo, Andrea Micheli, Riccardo Capocaccia, the EUROCARE Working Group Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133 Milan, Italy National Centre for Epidemiology, Surveillance and Health Promotion, Department of Cancer Epidemiology, Istituto Superiore di Sanita, Viale Regina Elena 299, Rome, Italy Department of Chronic Disease Epidemiology, National Institute for Cancer Epidemiology and Registration (NICER), University of Zurich, Sumatrastrasse 30, Zurich, Switzerland Focal Point International Affairs Executive, Alleanza Contro il Cancro, IST Istituto Nazionale per la Ricerca sul Cancro, Largo Rosanna Benzi, 10, Genova, Italy Descriptive Epidemiology and Health Planning Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, Italy

Published
2009

65. CAREMORE (Joint Community and Cancer Registry Model On Rehabilitation)

Author

DI SALVO, F., Baili, P., Ciampichini, R., Mangone, L., Vicentini, M., Tumino, R., Cilia, S., Vercelli, Marina, Orengo, M. A., Budroni, M., Contiero, P., Tagliabue, G., Aurora, F., DE LORENZO, F., Fattore, G., Fait, A., Compagni, A., Bufalino, R., Gatta, G., Sant, M., Saltarelli, S., and Micheli, A.

Subjects
cancer rehabilitation
Published
2009

71. Utilization of antispasticity drugs in multiple sclerosis: analysis from an Italian administrative database

Author

Mantovani, L, Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Mantovani, L, Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2013

72. Economic burden of pneumoniae requiring hospitalization in italy: analysis from an administrative database

Author

Ciampichini, R, Furneri, G, Cozzolino, P, Mantovani, L, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Ciampichini, R, Furneri, G, Cozzolino, P, Mantovani, L, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2013

73. Use of health care administrative databases to estimate the burden of diabetes mellitus: a population-based study

Author

Scalone, L, Mantovani, L, Furneri, G, Ciampichini, R, Cortesi, P, Beck Peccoz, P, Orsi, E, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, Scalone, L, Mantovani, L, Furneri, G, Ciampichini, R, Cortesi, P, Beck Peccoz, P, Orsi, E, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, and MANTOVANI, LORENZO GIOVANNI

Published
2013

74. Use of health care administrative databases to estimate the burden of breast cancer.

Author

Ciampichini, R, Furneri, G, Scalone, L, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, MANTOVANI, LORENZO GIOVANNI, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Ciampichini, R, Furneri, G, Scalone, L, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Mantovani, L, Cesana, G, MANTOVANI, LORENZO GIOVANNI, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2013

75. Use of health care administrative databases to estimate the health care burden of bone or bone marrow metastatic disease in breast cancer patients: a population-based study

Author

Mantovani, L, Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Mantovani, L, Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2013

76. Utilization of disease modifying agents in multiple sclerosis: from an Italian administrative database.

Author

Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, Mantovani, L, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Furneri, G, Scalone, L, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, Mantovani, L, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2013

77. Comparing the performance of the standard EQ-5D 3L with the new version EQ-5D 5L in patients with chronic hepatic diseases

Author

Scalone, L, Ciampichini, R, Fagiuoli, S, Gardini, I, Fusco, F, Gaeta, L, Del Prete, A, Cesana, G, Mantovani, L, Scalone, L, Ciampichini, R, Fagiuoli, S, Gardini, I, Fusco, F, Gaeta, L, Del Prete, A, Cesana, G, and Mantovani, L

Abstract

Purpose: To assess the performance of the EQ-5D-5L version compared with the standard EQ-5D-3L in a clinical setting targeted at patients with chronic hepatic diseases (CHDs). Methods: We introduced the 5L descriptive system into a cost-of-illness study involving patients with different CHDs. The patients completed a questionnaire including the two versions of the EQ-5D, together with other questions related to their condition. We tested the feasibility, the level of inconsistency, the redistribution properties among consistent responses, the ceiling effect, the discriminative power, and the convergent validity of the 5L compared with the 3L system. Results: A total of 1,088 valid patients were recruited: 62 % male, 19-89 (median = 59) years old. Patients had chronic hepatitis from HCV (31.8 %) or HBV infections (29.3 %) or other causes (7.8 %), 20.4 % had cirrhosis, 11.9 % underwent liver transplantation, and 7.8 % had hepatic carcinoma. Less than 1 % of EQ-5D-5L were returned blank, and 1.6 % or less of missing values were calculated on the dimensions of the partially completed questionnaires. The proportion and weight of inconsistent responses (i.e.; 3L responses that were at least two levels away from the 5L responses) was 2.9 % and 1.2 on average, respectively. Regarding redistribution, 57-65 % of the patients answering level 2 with the 3L version redistributed their responses to levels 2 or 4 with the 5L version. A relative 7 % reduction of the ceiling effect was found. Furthermore, the absolute informativity increased but the relative informativity slightly decreased in every domain, and the convergent validity with the VAS improved. Conclusions: In a clinical setting involving CHD patients, the EQ-5D-5L was shown to be feasible and with promising levels of performance. Our findings suggest that the 5L performs better in at least some of the properties analyzed, and encourage further research to also test other psychometric properties of this new version of t

Published
2013

78. Italian population-based values of EQ-5D health states

Author

Scalone, L, Cortesi, P, Ciampichini, R, Belisari, A, D'Angiolella, L, Cesana, G, Mantovani, L, SCALONE, LUCIANA, CIAMPICHINI, ROBERTA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, CORTESI, PAOLO ANGELO, Scalone, L, Cortesi, P, Ciampichini, R, Belisari, A, D'Angiolella, L, Cesana, G, Mantovani, L, SCALONE, LUCIANA, CIAMPICHINI, ROBERTA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, and CORTESI, PAOLO ANGELO

Abstract

Objective To estimate a value set for the calculation of Italian-specific quality-adjusted life years (QALYs), based on preferences elicited on EuroQol five-dimensional (EQ-5D) questionnaire health states using the time trade-off technique. Methods The revised standard Measurement and Valuation of Health protocol was followed. Twenty-five health states, divided into three groups and given to 450 subjects, were selected to obtain 300 observations per state. Subjects aged 18 to 75 years were recruited to be representative of the Italian general adult population for age, sex, and geographical distribution. To improve efficiency, face-to-face interviews were conducted by using the Computer Assisted Personal Interviewing approach. Several random effects regression models were tested to predict the full set of EQ-5D questionnaire health states. Model selection was based on logical consistency of the estimates, sign and magnitude of the regression coefficients, goodness of fit, and parsimony. Results The model that satisfied the criteria of logical consistency and was more efficient includes 10 main effect dummy variables for the EQ-5D questionnaire domain levels and the D1 interaction term, which accounts for the number of dimensions at levels 2 or 3 beyond the first. This model has an R 2 of 0.389 and a mean absolute error of 0.03, which are comparable to or better than those of models used in other countries. The utility estimates after state 11111 range from 0.92 (21111) to -0.38 (33333). Italian utility estimates are higher than those estimated in the United Kingdom and Spain and used so far to assess QALYs and conduct cost-utility evaluations in Italy. Conclusions A specific value set is now available to calculate QALYs for the conduction of health economic studies targeted at the Italian health care system. © 2013 International Society for Pharmacoeconomics and Outcomes Research (ISPOR)

Published
2013

79. Long term evaluation of the impact of autologous peripheral blood stem cell transplantation in multiple myeloma: a cost-effectiveness analysis

Author

Corso, A, Mangiacavalli, S, Cocito, F, Pascutto, C, Ferretti, V, Pompa, A, Ciampichini, R, Pochintesta, L, Mantovani, L, Ferretti, VV, Mantovani, LG, Corso, A, Mangiacavalli, S, Cocito, F, Pascutto, C, Ferretti, V, Pompa, A, Ciampichini, R, Pochintesta, L, Mantovani, L, Ferretti, VV, and Mantovani, LG

Abstract

Background:High-dose therapy with autologous peripheral stem cell transplantation represents today the standard approach for younger multiple myeloma patients. This study aimed to evaluate the long term economic impact of autologous transplantation with respect to conventional therapy.Methods:We retrospectively reviewed the charts of multiple myeloma patients diagnosed at our department between 1986 and 2003 and treated according to the therapy considered standard at the time of diagnosis. Analysis of costs was done by assessing resource utilization and direct costs were measured and monetized before proceeding with the analysis, based on public health service tariffs.Results:Group A including 78 patients treated with Melphalan and Prednisone was compared with Group B including 74 patients who received an autologous transplant. The median overall survival was 3.2 and 5.4 years respectively (p = 0.0002). Mean cost per patient was significantly higher in group B with respect to group A (102373€ vs 23825€; p<0.001). The final quality-adjusted-life-year gain in group B patients as compared to group A was 1.73 QALY, with an incremental cost-effectiveness ratio of 45460€. With a threshold of 75000€ per QALY gained, the cost effectiveness acceptability curve indicated that the probability that autologous transplantation in multiple myeloma is a cost-effective intervention is 90%.Conclusions:The cost of autologous transplantation remains high. The calculated incremental cost-effectiveness ratio, however, given the significant prolongation of overall survival obtained with autologous transplantation, is within an acceptable threshold. Notwithstanding, its high cost should be taken into account when considering the whole cost of multiple myeloma.

Published
2013

80. Health Related Quality of Life in the Major Liver Conditions

Author

Cortesi, P, Scalone, L, Ciampichini, R, Cozzolino, P, Cesana, G, Mantovani, L, Okolicsanyi, S, Ciaccio, A, Rota, M, Gentiluomo, M, Gemma, M, Grisolia, A, Pontisso, P, Burra, P, Mondelli, M, Fabris, L, Colledan, M, Fagiuoli, S, Valsecchi, M, Belli, L, Strazzabosco, M, CORTESI, PAOLO ANGELO, SCALONE, LUCIANA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, OKOLICSANYI, STEFANO, CIACCIO, ANTONIO, ROTA, MATTEO, GEMMA, MARTA, VALSECCHI, MARIA GRAZIA, STRAZZABOSCO, MARIO, Cortesi, P, Scalone, L, Ciampichini, R, Cozzolino, P, Cesana, G, Mantovani, L, Okolicsanyi, S, Ciaccio, A, Rota, M, Gentiluomo, M, Gemma, M, Grisolia, A, Pontisso, P, Burra, P, Mondelli, M, Fabris, L, Colledan, M, Fagiuoli, S, Valsecchi, M, Belli, L, Strazzabosco, M, CORTESI, PAOLO ANGELO, SCALONE, LUCIANA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, OKOLICSANYI, STEFANO, CIACCIO, ANTONIO, ROTA, MATTEO, GEMMA, MARTA, VALSECCHI, MARIA GRAZIA, and STRAZZABOSCO, MARIO

Abstract

Liver diseases (LDs) have a high impact on morbidity, mortality and health-related quality of life (HRQoL). Different LDs may have different effects on patients’ HRQoL. The aim of our study was to assess the reliability and benefit of using a generic HRQoL questionnaire to evaluate the health status of patients with the major liver conditions: hepatitis B (HBV), hepatitis C (HCV), cirrhosis, hepatocellular carcinoma (HCC), autoimmune hepatitis (AIH), primary biliary cirrhosis (PBC), primary sclerosing cholangitis (PSC), NAFLD/NASH and patients in the liver transplant list. A naturalistic, prospective, multicenter study has been conducted to generate and validate a set of health care outcomes indicators for the major liver conditions. LDs patients (age>18 years) were enrolled in 3 major Italian medical centers and are still being followed up (median f-up: 13 months). Within this study, socio-demographic, clinical and HRQoL were collected using the EQ-5D-3L, a generic instrument that enables HRQoL to compared within and between clinical conditions and with the general population. It generates a health profile made up of 5 domains (mobility, self care, anxiety/depression, usual activities and pain/discomfort), each one with three levels of severity. It also consists of a visual analogue scale (EQ-5D VAS) which measures overall HRQoL in a range from 0 (worst imaginable health state) to 100 (best imaginable health state). The baseline HRQoL data was analyzed dividing the patients in sub-groups according to the most recently diagnosed and most severe condition. The results reported below focus on the mean VAS. We enrolled 3,217 patients, 64.8% male, aged 19-91 (median=61) years; 95.0% of them filled in the EQ-5D at baseline. Patients in the HCC group were 22.6%, those with compensated cirrhosis were 21.2%, HCV 20.9%, decompensated cirrhosis 10.3%, HBV 9.5%. The HBV group reported the best HRQoL with a mean EQ-5D VAS of 77.8. NAFLD/NASH, HCV and PSC patients had a similar

Published
2013

81. The Impact of Type of Liver Conditions on the Patients’ Health Related Quality of Life

Author

Cortesi, P, Scalone, L, Ciampichini, R, Cozzolino, P, Cesana, G, Mantovani, L, Okolicsanyi, S, Ciaccio, A, Rota, M, Valsecchi, M, Gentiluomo, M, Gemma, M, Grisola, A, Scripo, R, Pecere, S, Pontisso, P, Burra, P, Mondelli, M, Fabris, L, Colledan, M, Fagiuoli, S, Belli, L, Strazzabosco, M, CORTESI, PAOLO ANGELO, SCALONE, LUCIANA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, OKOLICSANYI, STEFANO, CIACCIO, ANTONIO, ROTA, MATTEO, VALSECCHI, MARIA GRAZIA, GENTILUOMO, MARIA, GEMMA, MARTA, STRAZZABOSCO, MARIO, Cortesi, P, Scalone, L, Ciampichini, R, Cozzolino, P, Cesana, G, Mantovani, L, Okolicsanyi, S, Ciaccio, A, Rota, M, Valsecchi, M, Gentiluomo, M, Gemma, M, Grisola, A, Scripo, R, Pecere, S, Pontisso, P, Burra, P, Mondelli, M, Fabris, L, Colledan, M, Fagiuoli, S, Belli, L, Strazzabosco, M, CORTESI, PAOLO ANGELO, SCALONE, LUCIANA, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, OKOLICSANYI, STEFANO, CIACCIO, ANTONIO, ROTA, MATTEO, VALSECCHI, MARIA GRAZIA, GENTILUOMO, MARIA, GEMMA, MARTA, and STRAZZABOSCO, MARIO

Abstract

OBJECTIVES: Liver diseases (LDs) have a high impact on morbidity, mortality and health-related quality of life (HRQoL). LDs may have different impact on patients’ HRQoL. The aim of our study was to evaluate HRQoL in the major liver conditions: hepatitis B(HBV), hepatitis C(HCV), cirrhosis(compensated and decompensated), hepatocellular carcinoma(HCC), autoimmune hepatitis(AIH), primary biliary cirrhosis(PBC), primary sclerosing cholangitis(PSC), NAFLD/NASH, patients in the liver transplant list and post-transplant METHODS: a naturalistic, prospective, multicenter study has been conducted to generate and validate a set of health care outcomes indicators for the major liver conditions. LDs patients (age>18 years) were enrolled in 3 major Italian medical centers and are still being followed up (median f-up:13 months). Within this study, socio-demographic, clinical and HRQoL were collected using the EQ-5D-3L. The HRQoL data was analyzed dividing the patients in sub-groups according to the most recently diagnosed and most severe condition. RESULTS: we enrolled 3,217 patients, 64.8% male, aged 19-91 (median=61) years; 95.0% of them filled in the EQ-5D at baseline visit. Patients in the HCC group were 22.6%; while in the AIH group were 1.6%. The highest percentage of problems in Mobility dimension (39.2%) was reported by decompensated cirrhosis sub-group, the highest percentage in Self-care (22.6%) and Usual Activities (47.1%) by patients in liver transplant list, in Pain/Discomfort (59.2%) by AIH and in Anxiety/Depression (57.8%) by PBC. The HBV sub-group reported the best HRQoL with a mean EQ-5D VAS of 77.8; while AIH and listed for liver transplant patients reported the worst HRQoL levels (mean EQ-5D VAS=67.7 and 63.5, respectively). CONCLUSIONS: our study shows how HRQoL is different between LDs and how it is negatively related with the clinical severity. Understanding the different impact of LDs on the patients’ HRQoL could help physicians and decision makers to better

Published
2013

82. Administrative databases as a tool for identifying healthcare demand and costs in an over-one million population

Author

Madotto, F, Riva, M, Fornari, C, Scalone, L, Ciampichini, R, Bonazzi, M, Mantovani, L, Cesana, G, MADOTTO, FABIANA, RIVA, MICHELE AUGUSTO, FORNARI, CARLA, SCALONE, LUCIANA, BONAZZI, MARIA CHIARA, MANTOVANI, LORENZO GIOVANNI, CESANA, GIANCARLO, Madotto, F, Riva, M, Fornari, C, Scalone, L, Ciampichini, R, Bonazzi, M, Mantovani, L, Cesana, G, MADOTTO, FABIANA, RIVA, MICHELE AUGUSTO, FORNARI, CARLA, SCALONE, LUCIANA, BONAZZI, MARIA CHIARA, MANTOVANI, LORENZO GIOVANNI, and CESANA, GIANCARLO

Abstract

Background: the aim of this study was to assess healthcare demand of specific groups of population and their costs borne by Italian Health System, using healthcare administrative databases. Methods: demographic, clinical and economic data were obtained from datasets available at the Regional Health System, combined into a data warehouse (DENALI), using a probabilistic record linkage to optimize the data matching process. The study population consisted of more than 1 million people registered in 2005 at one Local Healthcare Unit of Lombardy. Eight different segments were identified. Costs occurring in 2005 for hospital admissions, drug prescriptions, outpatient medical specialist visits were quantified in each segment. Results: healthy people accounted for 53% of the population and cost € 180 per-capita. Subjects with only one chronic disease made up 16% of the population and cost € 916 per-capita, those affected by several chronic diseases accounted for 13% and cost € 3 457 per-capita. Hospitalizations were the cost driver in five segments, ranging from 42% to 89% of total expenditures. Outpatient visits were the cost driver among healthy subjects (54%) and those with a possible chronic disease (42%), while drug costs ranged between 4% ("acute event") and 32% ("one chronic disease"). Overall, healthcare cost was € 809 per-capita. ConclusionS: healthcare costs were mainly determined by people affected by chronic conditions, even if "healthy people" ranked third for total expenditure. These costs need an appropriate identification of healthcare demand, that could be efficiently monitored through the use of administrative databases.

Published
2013

83. The Impact of Type of Liver Conditions on the Patients’ Health Related Quality of Life

Author

Cortesi, P.A., primary, Scalone, L., additional, Ciampichini, R., additional, Cozzolino, P., additional, Cesana, G., additional, Mantovani, L.G., additional, Okolicsanyi, S., additional, Ciaccio, A., additional, Rota, M., additional, Valsecchi, M.G., additional, Gentiluomo, M., additional, Gemma, M., additional, Grisola, A., additional, Scripo, R., additional, Pecere, S., additional, Pontisso, P., additional, Burra, P., additional, Mondelli, M., additional, Fabris, L., additional, Colledan, M., additional, Fagiuoli, S., additional, Belli, L.S., additional, and Strazzabosco, M., additional

Published
2013
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86. Use of health care administrative databases to estimate the health care burden of bone or bone marrow metastatic disease in breast cancer patients: a population-based study.

Author

Mantovani, L, Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, CESANA, GIANCARLO, Mantovani, L, Scalone, L, Furneri, G, Ciampichini, R, Cortesi, P, Fornari, C, Madotto, F, Chiodini, V, Cesana, G, MANTOVANI, LORENZO GIOVANNI, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, FORNARI, CARLA, MADOTTO, FABIANA, and CESANA, GIANCARLO

Published
2012

87. PGI36 Relationship Between Clinical Severity and Health Related Quality of Life in Chronic Liver Diseases

Author

Scalone, L, Cortesi, P, Ciampichini, R, Okolicsanyi, S, Rota, M, Ciaccio, A, Ideo, G, Colledan, M, Belli, L, Cesana, G, Mantovani, L, Strazzabosco, M, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, OKOLICSANYI, STEFANO, ROTA, MATTEO, CIACCIO, ANTONIO, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, STRAZZABOSCO, MARIO, Scalone, L, Cortesi, P, Ciampichini, R, Okolicsanyi, S, Rota, M, Ciaccio, A, Ideo, G, Colledan, M, Belli, L, Cesana, G, Mantovani, L, Strazzabosco, M, SCALONE, LUCIANA, CORTESI, PAOLO ANGELO, OKOLICSANYI, STEFANO, ROTA, MATTEO, CIACCIO, ANTONIO, CESANA, GIANCARLO, MANTOVANI, LORENZO GIOVANNI, and STRAZZABOSCO, MARIO

Abstract

OBJECTIVES: To assess the relationship between the type of chronic liver diseases (CLDs), clinical severity and patients’ HRQoL. METHODS: A naturalistic, multicentre study has been conducting to identify and test quality of care indicators. Adult CLDs patients (age>18 years) have been enrolling at gastroenterology unit of 3 Italian hospitals. We are collecting socio-demographic, clinical and HRQoL data with the EQ-5D-3L. Patients are sub-grouped according to CLD type and to clinical severity using the modified Child-Turcotte-Pugh score: with this instrument, patients are classified as non-cirrhotic, early cirrhotic (class A), advanced cirrhotic (classes B and C). We conducted Kruskall-Wallis tests to assess relationship between EQ-5D-VAS score and disease type or severity score. RESULTS: Results are based on data from 2,221 patients (67% male, median age=62 years), classified into the following subgroups: HCV or HBV chronic hepatitis (36.0%), compensated cirrhosis (CC, 23.5%), hepatocellular carcinoma (HCC, 19.8%), decompensated cirrhosis (DC, 13.5%), patients in evaluation or listed for liver transplant (LT, 7.2%). Non-cirrhotic patients (HCV or HBV chronic hepatitis) had significantly (p<0.001) higher median VAS (80) than patients with any other CLD types (70). In contrast, patients listed for LT had the lowest (p<0.05) median VAS (65) and the highest proportion of patients (58.1%) in Child class B-C. DC patients had a median VAS not significantly different from that of HCC or CC patients (70 versus 70 and 73, respectively). On the other hand, DC patients in child class A showed a significantly (p<0.05) higher median VAS (72.5) than HCC and CC patients in class B-C, who had a median VAS of 70 and 60, respectively. CONCLUSIONS: HRQoL of CLDs patients is significantly related with the Child-Turcotte-Pugh severity score. These results could be useful to understand the impact of the disease severity on patients’ HRQoL and guide some decisions in clinical care

Published
2012

88. Development of a segmentation model to identify healthcare demand and related costs attributable to population's characteristics

Author

Madotto, F, Fornari, C, Riva, M, Scalone, L, Ciampichini, R, Bonazzi, M, Cesana, G, MADOTTO, FABIANA, FORNARI, CARLA, RIVA, MICHELE AUGUSTO, SCALONE, LUCIANA, BONAZZI, MARIA CHIARA, CESANA, GIANCARLO, Madotto, F, Fornari, C, Riva, M, Scalone, L, Ciampichini, R, Bonazzi, M, Cesana, G, MADOTTO, FABIANA, FORNARI, CARLA, RIVA, MICHELE AUGUSTO, SCALONE, LUCIANA, BONAZZI, MARIA CHIARA, and CESANA, GIANCARLO

Abstract

OBJECTIVES. The assessment of individuals’ demand and related costs can guide to allocate healthcare resources and improve access to healthcare. We created a segmentation demand model and we estimated healthcare costs and their determinants within specific and distinguished groups of general population. METHODS. The target population included subjects living in an area of northern Italy registered at one Local Healthcare Unit in 2005 (1,031,684 subjects). On the basis of clinical judgments and literature, we identified eight different segments: subjects unknown to HS, maternity and infancy, elderly, people with one chronic disease (CD), people with more CDs, people with probable or not severe CDs, subjects with acute event, healthy people. To describe these groups and their health demand, we used demographic and healthcare demand data (hospital admissions, drug’s prescriptions, medical specialist visits, diagnostic tests) from administrative databases available at the Lombardy Health System (HS). These were merged adopting probabilistic record linkage (DENALI Data Warehouse) to optimize correct matching of data. RESULTS. Overall, healthcare cost €834 million in 2005 (€809 per-capita). Healthy people were 53% of the sample and cost €180 per-capita. Next more frequent subjects were those with one CD (14%) and cost €916 per-capita, then those with more CDs (13%) who cost €3,457 per-capita. Hospitalizations were the cost driver in five segments (maternity and infancy, elderly, one CD, more CDs, acute event), accounting for 42-89% of total costs. Diagnostic tests and medical visits contributed to 42-45% of total costs among healthy subjects and those with probable CD. Overall, drugs accounted for 24% of costs of sample. CONCLUSIONS. This pioneer demand segmentation model shows an example of how merging different administrative databases makes possible understanding effects of their characteristics on healthcare demand and costs. Research is encouraged to improve the mode

Published
2010

90. Cost-utility analysis of spinal cord stimulation in patient with failed back surgery syndrome: Results from the precise study

Author

Ciampichini, R., primary, Scalone, L., additional, Zucco, F., additional, Lavano, A., additional, Costantini, A., additional, De Rose, M., additional, Poli, P., additional, Fortini, G., additional, Demartini, L., additional, De Simone, E., additional, Menardo, V., additional, Cisotto, P., additional, Meglio, M., additional, Beccagutti, G., additional, Grifi, M., additional, De Santo, T., additional, and Mantovani, L.G., additional

Published
2013
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