12 results on '"ROMEO, GIANPAOLO"'
Search Results
2. Letter in response to article in journal of infection: Impact of routine infant BCG vaccination on COVID-19
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Levi, Miriam, primary, Miglietta, Alessandro, additional, Romeo, Gianpaolo, additional, Bartolacci, Simone, additional, Ariani, Filippo, additional, Cipriani, Francesco, additional, De Filippo, Carlotta, additional, Cavalieri, Duccio, additional, and Balzi, Daniela, additional
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- 2021
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3. Italian translation and validation of the Perinatal Grief Scale
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Ravaldi, Claudia, primary, Bettiol, Alessandra, additional, Crescioli, Giada, additional, Lombardi, Niccolò, additional, Biffino, Marco, additional, Romeo, Gianpaolo, additional, Levi, Miriam, additional, Bonaiuti, Roberto, additional, and Vannacci, Alfredo, additional
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- 2019
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4. Italian translation and validation of the Perinatal Grief Scale.
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Ravaldi, Claudia, Bettiol, Alessandra, Crescioli, Giada, Lombardi, Niccolò, Biffino, Marco, Romeo, Gianpaolo, Levi, Miriam, Bonaiuti, Roberto, and Vannacci, Alfredo
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PERINATAL death & psychology ,PSYCHOLOGICAL adaptation ,ANALYSIS of variance ,CONFIDENCE intervals ,STATISTICAL correlation ,GRIEF ,MATERNAL health services ,RESEARCH methodology ,PSYCHOLOGY of mothers ,NONPARAMETRIC statistics ,QUESTIONNAIRES ,RESEARCH evaluation ,STATISTICS ,TRANSLATIONS ,SOCIAL support ,RESEARCH methodology evaluation ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Aims: The short version of the Perinatal Grief Scale (PGS) has 33 items of Likert type whose answers vary from 1 (strongly agree) to 5 (strongly disagree), and is used to assess the grief after perinatal loss and to identify women at major need of specific support. This is the first attempt to validate an Italian version of PGS. Materials and methods: The English version of PGS by Potvin et al. was translated into Italian by a professional mother tongue English translator. The survey was administered at 3 different times (translated Italian version; original English version after 10 days; and same Italian version after other 10 days) to 16 Italian/English bilingual women who had experienced a perinatal loss. The reproducibility among the three administrations and concordance were assessed using Cronbach's alpha and Cohen's kappa, respectively. Results: Considering the PGS, median score ranged from 74.5 (58.5–94.5) to 78 (64–95), with no significant difference among the three questionnaire administrations (p = 0.616). No significant difference emerged among the three administered questionnaires for subscales (p = 0.095, 0.410 and 0.410 for 'active grief' AG, 'difficulty in coping' DC and 'despair' D scores, respectively). Concordance varied from good to very good among all questionnaire administrations. Conclusions: This Italian version of the PGS can be used by clinicians to assess Italian women's responses to stillbirth and perinatal loss, as well as by researchers for research purposes. [ABSTRACT FROM AUTHOR]
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- 2020
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5. Italian cancer figures, report 2011: Survival of cancer patients in Italy
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Airtum, Working Group, Fusco, Mario, Buzzoni, Carlotta, Coviello, Enzo, Rashid, Ivan, Bianconi, Fortunato, Cuccaro, Francesco, Castaing, Marine, Angelis, Roberta, Giacomin, Adriano, Guzzinati, Stefano, Mosso, Maria Luisa, Pisani, Paola, Quaglia, Alberto, Randi, Giorgia, Ramazzotti, Valerio, Russo, Antonio, Senatore, Gennaro, Stracci, Fabrizio, Traina, Adele, Vercelli, Marina, Zarcone, Maurizio, Ferretti, Stefano, Mazzoleni, Guido, Bellu, Francesco, Tschugguel, Birgit, Valiere, Elena, Facchinelli, Gerlinde, Falk, Markus, Dal Cappello, Tomas, Vercellino, Pier Carlo, Andreone, Simona, Busato, Anna, Marzola, Laura, Migliari, Elena, Carletti, Nada, Nenci, Italo, Crocetti, Emanuele, Caldarella, Adele, Corbinelli, Antonella, Giusti, Francesco, Intrieri, Teresa, Manneschi, Gianfranco, Nemcova, Libuse, Romeo, Gianpaolo, Sacchettini, Claudio, Zappa, Marco, Paci, Eugenio, Serraino, Diego, Angelin, Tiziana, Bidoli, Ettore, Dal Maso, Luigino, Dottori, Margherita, Paoli, Angela, Santis, Emilia, Forgiarini, Ornella, Lise, Mauro, Zucchetto, Antonella, Zanier, Loris, Orengo, Maria Antonietta, Casella, Claudia, Marani, Enza, Puppo, Antonella, Celesia, Maria Vittoria, Cogno, Roberta, Manenti, Simone, Garrone, Elsa, Pannozzo, Fabio, Busco, Susanna, Maria Cecilia Cercato, Battisti, Walter, Sperduti, Isabella, Macci, Leonarda, Bugliarello, Ester, Bernazza, Edvige, Tamburo, Lucilla, Rossi, Miriana, Curatella, Simonetta, Francesco, Carla, Tamburrino, Silvana, Bisanti, Luigi, Autelitano, Mariangela, Ghilardi, Simona, Leone, Rosanna, Filipazzi, Luisa, Bonini, Annamaria, Giubelli, Cinzia, Federico, Massimo, Artioli, Maria Elisa, Valla, Katia, Braghiroli, Barbara, Cirilli, Claudia, Luminari, Stefano, Pirani, Monica, Ferrari, Lorenza, Bellatalla, Caterina, Fusco, Maria, Panico, Margherita, Perrotta, Carmela, Vassante, Biagio, Vitale, Maria Francesca, Michiara, Maria, Bozzani, Francesco, Sgargi, Paolo, Tumino, Rosario, La Rosa, Maria Guglielmina, Cascone, Giuseppe, Frasca, Graziella, Giurdanella, Maria Concetta, Martorana, Caterina, Morana, Gabriele, Nicita, Carmela, Rollo, Patrizia Concetta, Ruggeri, Maria Grazia, Sigona, Aurora, Spata, Eugenia, Vacirca, Stefania, Mangone, Lucia, Di Felice, Enza, Pezzarossi, Annamaria, Caroli, Stefania, Pellegri, Carlotta, Vicentini, Massimo, Storchi, Cinzia, Cavuto, Silvio, Costa, Jaqueline, Falcini, Fabio, Colamartini, Americo, Bucchi, Lauro, Balducci, Chiara, Ravegnani, Mila, Vitali, Benedetta, Cordaro, Carlo, Caprara, Licia, Giuliani, Orietta, Giorgetti, Stefania, Salvatore, Silvia, Palumbo, Monica, Vattiato, Rosa, Ravaioli, Alessandra, Foca, Flavia, Rinaldi, Elisa, Mancini, Silvia, Tonelli, Chiara, Amadori, Marinella, Cremone, Luigi, Iannelli, Arturo, Zevola, Arrigo, Budroni, Mario, Cesaraccio, Rosaria, Pirino, Daniela, Carboni, Donatella, Fiori, Giovanna, Soddu, Marcella, Mameli, Gianpaolo, Mura, Francesco, Contrino, Maria Lia, Madeddu, Anselmo, Tisano, Francesco, Sciacca, Salvatore, Muni, Angela, Mizzi, Margherita, Russo, Maria, Sacco, Giorgio, Aletta, Paoletta, Colanino Ziino, Antonio, Tessandori, Roberto, Fanetti, Anna Clara, Maspero, Sergio, Annulli, Monica Lucia, Moroni, Elena, Sanoja Gonzalez, Maria Eugenia, Zanetti, Roberto, Rosso, Stefano, Patriarca, Silvia, Prandi, Rossana, Sobrato, Irene, Gilardi, Franca, Busso, Paola, Piffer, Silvano, Gentilini, Maria A., Battisti, Laura, Rizzello, Roberto, Cappelletti, Maddalena, Moser, Marilena, La Rosa, Francesco, D Alo, Daniela, Scheibel, Massimo, Costarelli, Daniela, Spano, Francesco, Rossini, Stefania, Santucci, Cinzia, Petrinelli, Anna Maria, Solimene, Clotilde, Brunori, Valerio, Crosignani, Paolo, Tagliabue, Giovanna, Contiero, Paolo, Preto, Lucia, Tittarelli, Andrea, Maghini, Anna, Codazzi, Tiziana, Frassoldi, Emanuela, Gada, Daniela, Costa, Enrica, Di Grazia, Laura, Zambon, Paola, Baracco, Maddalena, Bovo, Emanuela, Dal Cin, Antonella, Fiore, Anna Rita, Greco, Alessandra, Monetti, Daniele, Rosano, Alberto, Stocco, Carmen, Tognazzo, Sandro, Donato, Francesco, Limina, Rosa Maria, Adorni, Anna, Andreis, Paolo, Zani, Giuseppe, Piovani, Francesco, Salvi, Ornella, Puleio, Maria, Vitarelli, Susanna, Antonini, Silvia, Candela, Giuseppina, Pappalardo, Giuseppe, Scuderi, Tiziana, Lottero, Barbara, Ribaudo, Michele, Ricci, Paolo, Guarda, Linda, Gatti, Luciana, Bozzeda, Annalaura, Dall Acqua, Maria, Pironi, Vanda, Sutera Sardo, Antonella, Mazzei, Adriana, Sirianni, Nicola, Lavecchia, Anna Maria, Mancuso, Pierina, Usala, Mario, Pala, Filomena, Sini, Giovanna Maria, Pintori, Nicolina, Canu, Luisa, Demurtas, Giuliana, Doa, Nina, Ponz Leon, Maurizio, Domati, Federica, Rossi, Giuseppina, Goldoni, Carlo Alberto, Rossi, Federica, Gaetani, Carmela, Benatti, Piero, Roncucci, Luca, Di Gregorio, Carmela, Pedroni, Monica, Pezzi, Annalisa, Maffei, Stefania, Mariani, Francesco, Borsi, Enrica, Carruba, Giuseppe, Cusimano, Rosanna, Amodio, Rosalba, Dolcemascolo, Cecilia, Staiti, Rosalba, Pastore, Guido, Magnani, Corrado, Terracini, Benedetto, Cena, Tiziana, Alessi, Daniela, Baussano, Iacopo, Merletti, Franco, Maule, Milena, Macerata, Vanda, Cocchioni, Mario, Pascucci, Cristiana, Gennaro, Valerio, Lazzarotto, Anna, Benfatto, Lucia, Mazzucco, Giovanna, Montanaro, Fabio, AIRTUM Working Group: [.., Enrica Borsi, and ]
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Adult ,Aged, 80 and over ,Male ,Adolescent ,Age Factors ,Infant, Newborn ,Infant ,Middle Aged ,Survival Analysis ,CANCER ,Survival Rate ,Young Adult ,Italy ,Organ Specificity ,Child, Preschool ,Neoplasms ,Humans ,Female ,Registries ,Child ,Aged - Abstract
INTRODUCTION: population-based survival analyses are fundamental to assess the impact of public health interventions and new therapies in cancer control. This monograph updates previous reports on cancer patient survival in Italy up to the year 2007. MATERIAL AND METHODS: we extracted from the Network of Italian Cancer Registries (AIRTUM) database over 1,490,000 records of tumours diagnosed during 1990-2007 and followed up to the end of 2008, including all multiple tumours. We used the Ederer II method to estimate relative survival (RS) for 29 different types of neoplasm. Five-year relative survival rates were analysed by gender and macroarea. Trends in 5-, 10- and 15-year RS were studied by gender over six 3-year diagnostic periods, from 1990 to 2007. Conditional 5-year RS was also computed by gender and macroarea. Hybrid approaches were applied to exploit the recent survival experiences of cases diagnosed up to 2007. Adjustment for age was performed using EUROCARE weights. Additional sections describe cancer patient survival in childhood and in elderly patients and provide a comparison of cancer patient survival rates in Italy with those of other countries. RESULTS: Standardized 5-year RS for all tumours but skin in 52% for men and 61% for women. Patient survival has improved for almost all types of cancer: from 1990 to 2007 5-year RS has increased by 15% for all cancers but skin; the exceptions are some cancers with poor prognosis, where patient survival has remained basically unchanged. In males, RS was usually lower than in females, but trend analysis shows that the gap is narrowing. We also report persisting lower RS in southern Italy: 5-year RS in the South is usually from 4% to 10% lower than in the North and Centre. CONCLUSION: this study provides valuable information for all stakeholders in cancer control, both in Italy and elsewhere. Increasing survival reflects improvements in various areas of cancer control. On the other hand, delayed diagnosis and suboptimal management are consistent with the reported differences in survival within the country.
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- 2011
6. Effetti delle limitazioni impartite dal Medico Competente sul percorso lavorativo di una coorte di lavoratori della sanità.
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TALINI, DONATELLA, ROMEO, GIANPAOLO, BALDASSERONI, ALBERTO, MIGNANI, ALDO, and CRISTAUDO, ALFONSO
- Abstract
Copyright of La Medicina del Lavoro is the property of Mattioli 1885 SpA and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2017
- Full Text
- View/download PDF
7. [AIRTUM numbers: 200,000 young Italians live with cancer]
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Dal Maso, Luigino, Angelis, Roberta, Guzzinati, Stefano, Airtum, Working Group, Paoli, Angela, Buzzoni, Carlotta, Crocetti, Emanuele, Bucchi, Lauro, Casella, Claudia, Cuccaro, Francesco, Fusco, Mario, Luminari, Stefano, Madeddu, Anselmo, Mangone, Lucia, Patriarca, Silvia, Piffer, Silvano, Stracci, Fabrizio, Tagliabue, Giovanna, Tumino, Rosario, Zappa, Marco, Capocaccia, Riccardo, Ferretti, Stefano, Mazzoleni, Guido, Bellu, Francesco, Tschugguel, Birgit, Valiere, Elena, Facchinelli, Gerlinde, Falk, Markus, Dal Cappello, Tomas, Giacomin, Adriano, Vercellino, Pier Carlo, Andreone, Simona, Busato, Anna, Marzola, Laura, Migliari, Elena, Carletti, Nada, Nenci, Italo, Caldarella, Adele, Corbinelli, Antonella, Giusti, Francesco, Intrieri, Teresa, Manneschi, Gianfranco, Nemcova, Libuse, Romeo, Gianpaolo, Sacchettini, Claudio, Paci, Eugenio, Serraino, Diego, Angelin, Tiziana, Bidoli, Ettore, Dottori, Margherita, Santis, Emilia, Forgiarini, Ornella, Zucchetto, Antonella, Zanier, Loris, Vercelli, Marina, Orengo, Maria Antonietta, Marani, Enza, Puppo, Antonella, Celesia, Maria Vittoria, Cogno, Roberta, Manenti, Simone, Garrone, Elsa, Quaglia, Alberto, Pannozzo, Fabio, Busco, Susanna, Rashid, Ivan, Ramazzotti, Valerio, Cercato, M. Cecilia, Battisti, Walter, Sperduti, Isabella, Macci, Leonarda, Bugliarello, Ester, Bernazza, Edvige, Tamburo, Lucilla, Rossi, Miriana, Curatella, Simonetta, Francesco, Carla, Tamburrino, Silvana, Bisanti, Luigi, Autelitano, Mariangela, Randi, Giorgia, Ghilardi, Simona, Leone, Rosanna, Filipazzi, Luisa, Bonini, Annamaria, Giubelli, Cinzia, Federico, Massimo, Artioli, Maria Elisa, Valla, Katia, Braghiroli, Barbara, Cirilli, Claudia, Pirani, Monica, Ferrari, Lorenza, Bellatalla, Caterina, Fusco, Maria, Panico, Margherita, Perrotta, Carmela, Vassante, Biagio, Traina, Adele, Carruba, Giuseppe, Cusimano, Rosanna, Amodio, Rosalba, Dolcemascolo, Cecilia, Staiti, Rosalba, Zarcone, Maurizio, Michiara, Maria, Bozzani, Francesco, Sgargi, Paolo, Cilia, Sonia, La Rosa, Maria Guglielmina, Cascone, Giuseppe, Frasca, Graziella, Giurdanella, Maria Concetta, Martorana, Caterina, Morana, Gabriele, Nicita, Carmela, Rollo, Patrizia, Ruggeri, Maria Grazia, Sigona, Aurora, Spata, Eugenia, Vacirca, Stefania, Di Felice, Enza, Pezzarossi, Annamaria, Caroli, Stefania, Pellegri, Carlotta, Vicentini, Massimo, Storchi, Cinzia, Cavuto, Silvio, Costa, Jaqueline, Falcini, Fabio, Colamartini, Americo, Balducci, Chiara, Ravegnani, Mila, Vitali, Benedetta, Cordaro, Carlo, Caprara, Licia, Giuliani, Orietta, Giorgetti, Stefania, Salvatore, Silvia, Palumbo, Monica, Vattiato, Rosa, Ravaioli, Alessandra, Foca, Flavia, Rinaldi, Elisa, Donato, Andrea, Iannelli, Arturo, Senatore, Gennaro, Zevola, Arrigo, Budroni, Mario, Cesaraccio, Rosaria, Pirino, Daniela, Carboni, Donatella, Fiori, Giovanna, Soddu, Marcella, Mameli, Gianpaolo, Mura, Francesco, Contrino, Maria Lia, Tisano, Francesco, Sciacca, Salvatore, Muni, Angela, Mizzi, Margherita, Russo, Maria, Tessandori, Roberto, Ardemagni, Giuseppina, Gianola, Luigi, Maspero, Sergio, Annulli, Monica Lucia, Moroni, Elena, Roberto, Guglielmana, Zanetti, Roberto, Rosso, Stefano, Prandi, Rossana, Sobrato, Irene, Gilardi, Franca, Busso, Paola, Franchini, Silva, Gentilini, Maria A., Battisti, Laura, Cappelletti, Maddalena, Moser, Marilena, La Rosa, Francesco, D Alo, Daniela, Scheibel, Massimo, Costarelli, Daniela, Spano, Francesco, Rossini, Stefania, Santucci, Cinzia, Petrinelli, Anna Maria, Solimene, Clotilde, Bianconi, Fortunato, Brunori, Valerio, Crosignani, Paolo, Contiero, Paolo, Preto, Lucia, Tittarelli, Andrea, Maghini, Anna, Codazzi, Tiziana, Frassoldi, Emanuela, Gada, Daniela, Costa, Enrica, Di Grazia, Laura, Zambon, Paola, Baracco, Maddalena, Bovo, Emanuela, Dal Cin, Antonella, Fiore, Anna Rita, Greco, Alessandra, Monetti, Daniele, Rosano, Alberto, Stocco, Carmen, Tognazzo, Sandro, Donato, Francesco, Limina, Rosa Maria, Adorni, Anna, Andreis, Paolo, Zani, Giuseppe, Piovani, Francesco, Salvi, Ornella, Puleio, Maria, Vitarelli, Susanna, Antonini, Silvia, Candela, Giuseppina, Pappalardo, Giuseppe, Scuderi, Tiziana, Lottero, Barbara, Ribaudo, Michele, Ricci, Paolo, Guarda, Linda, Gatti, Luciana, Bozzeda, Annalaura, Dall Acqua, Maria, Pironi, Vanda, Sardo, Antonella Sutera, Mazzei, Adriana, Sirianni, Nicola, Lavecchia, Anna Maria, Mancuso, Pierina, Usala, Mario, Pala, Filomena, Sini, Giovanna Maria, Pintori, Nicolina, Canu, Luisa, Demurtas, Giuliana, Doa, Nina, Pisani, Paola, Pastore, Guido, Magnani, Corrado, Terracini, Benedetto, Cena, Tiziana, Alessi, Daniela, Baussano, Iacopo, Merletti, Franco, Maule, Milena, Mosso, Maria Luisa, Nonnato, Marinella, Rasulo, Assunta, Richiardi, Lorenzo, Zuccolo, Luisa, Pivetta, Emanuele, Dalmasso, Paola, Macerata, Vanda, Leon, Maurizio Ponz, Domati, Federica, Rossi, Giuseppina, Goldoni, Carlo Alberto, Rossi, Federica, Gaetani, Carmela, Benatti, Piero, Roncucci, Luca, Di Gregorio, Carmela, Pezzi, Monica Pedroni Annalisa, Maffei, Stefania, Mariani, Francesco, Enrica Borsi, Cocchioni, Mario, Pascucci, Cristiana, Gennaro, Valerio, Lazzarotto, Anna, Benfatto, Lucia, Mazzucco, Giovanna, and Montanaro, Giovanna
8. [Italian cancer figures, report 2010: Cancer prevalence in Italy. Patients living with cancer, long-term survivors and cured patients]
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Airtum, Working Group, Guzzinati, Stefano, Dal Maso, Luigino, Angelis, Roberta, Paoli, Angela, Buzzoni, Carlotta, Crocetti, Emanuele, Bucchi, Lauro, Casella, Claudia, Cuccaro, Francesco, Fusco, Mario, Luminari, Stefano, Madeddu, Anselmo, Mangone, Lucia, Patriarca, Silvia, Piffer, Silvano, Stracci, Fabrizio, Tagliabue, Giovanna, Tumino, Rosario, Zappa, Marco, Capocaccia, Riccardo, Ferretti, Stefano, Mazzoleni, Guido, Bellu, Francesco, Tschugguel, Birgit, Valiere, Elena, Facchinelli, Gerlinde, Falk, Markus, Dal Cappello, Tomas, Giacomin, Adriano, Vercellino, Pier Carlo, Andreone, Simona, Busato, Anna, Marzola, Laura, Migliari, Elena, Carletti, Nada, Nenci, Italo, Caldarella, Adele, Corbinelli, Antonella, Giusti, Francesco, Intrieri, Teresa, Manneschi, Gianfranco, Nemcova, Libuse, Romeo, Gianpaolo, Sacchettini, Claudio, Paci, Eugenio, Serraino, Diego, Angelin, Tiziana, Bidoli, Ettore, Dottori, Margherita, Santis, Emilia, Forgiarini, Ornella, Zucchetto, Antonella, Zanier, Loris, Vercelli, Marina, Orengo, Maria Antonietta, Marani, Enza, Puppo, Antonella, Celesia, Maria Vittoria, Cogno, Roberta, Manenti, Simone, Garrone, Elsa, Quaglia, Alberto, Pannozzo, Fabio, Busco, Susanna, Rashid, Ivan, Ramazzotti, Valerio, Cercato, M. Cecilia, Battisti, Walter, Sperduti, Isabella, Macci, Leonarda, Bugliarello, Ester, Bernazza, Edvige, Tamburo, Lucilla, Rossi, Miriana, Curatella, Simonetta, Francesco, Carla, Tamburrino, Silvana, Bisanti, Luigi, Autelitano, Mariangela, Randi, Giorgia, Ghilardi, Simona, Leone, Rosanna, Filipazzi, Luisa, Bonini, Annamaria, Giubelli, Cinzia, Federico, Massimo, Artioli, Maria Elisa, Valla, Katia, Braghiroli, Barbara, Cirilli, Claudia, Pirani, Monica, Ferrari, Lorenza, Bellatalla, Caterina, Fusco, Maria, Panico, Margherita, Perrotta, Carmela, Vassante, Biagio, Traina, Adele, Carruba, Giuseppe, Cusimano, Rosanna, Amodio, Rosalba, Dolcemascolo, Cecilia, Staiti, Rosalba, Zarcone, Maurizio, Michiara, Maria, Bozzani, Francesco, Sgargi, Paolo, Cilia, Sonia, La Rosa, Maria Guglielmina, Cascone, Giuseppe, Frasca, Graziella, Giurdanella, Maria Concetta, Martorana, Caterina, Morana, Gabriele, Nicita, Carmela, Rollo, Patrizia, Ruggeri, Maria Grazia, Sigona, Aurora, Spata, Eugenia, Vacirca, Stefania, Di Felice, Enza, Pezzarossi, Annamaria, Caroli, Stefania, Pellegri, Carlotta, Vicentini, Massimo, Storchi, Cinzia, Cavuto, Silvio, Costa, Jaqueline, Falcini, Fabio, Colamartini, Americo, Balducci, Chiara, Ravegnani, Mila, Vitali, Benedetta, Cordaro, Carlo, Caprara, Licia, Giuliani, Orietta, Giorgetti, Stefania, Salvatore, Silvia, Palumbo, Monica, Vattiato, Rosa, Ravaioli, Alessandra, Foca, Flavia, Rinaldi, Elisa, Donato, Andrea, Iannelli, Arturo, Senatore, Gennaro, Zevola, Arrigo, Budroni, Mario, Cesaraccio, Rosaria, Pirino, Daniela, Carboni, Donatella, Fiori, Giovanna, Soddu, Marcella, Mameli, Gianpaolo, Mura, Francesco, Contrino, Maria Lia, Tisano, Francesco, Sciacca, Salvatore, Muni, Angela, Mizzi, Margherita, Russo, Maria, Tessandori, Roberto, Ardemagni, Giuseppina, Gianola, Luigi, Maspero, Sergio, Annulli, Monica Lucia, Moroni, Elena, Roberto, Guglielmana, Zanetti, Roberto, Rosso, Stefano, Prandi, Rossana, Sobrato, Irene, Gilardi, Franca, Busso, Paola, Franchini, Silva, Gentilini, Maria A., Battisti, Laura, Cappelletti, Maddalena, Moser, Marilena, La Rosa, Francesco, D Alo, Daniela, Scheibel, Massimo, Costarelli, Daniela, Spano, Francesco, Rossini, Stefania, Santucci, Cinzia, Petrinelli, Anna Maria, Solimene, Clotilde, Bianconi, Fortunato, Brunori, Valerio, Crosignani, Paolo, Contiero, Paolo, Preto, Lucia, Tittarelli, Andrea, Maghini, Anna, Codazzi, Tiziana, Frassoldi, Emanuela, Gada, Daniela, Costa, Enrica, Di Grazia, Laura, Zambon, Paola, Baracco, Maddalena, Bovo, Emanuela, Dal Cin, Antonella, Fiore, Anna Rita, Greco, Alessandra, Monetti, Daniele, Rosano, Alberto, Stocco, Carmen, Tognazzo, Sandro, Donato, Francesco, Limina, Rosa Maria, Adorni, Anna, Andreis, Paolo, Zani, Giuseppe, Piovani, Francesco, Salvi, Ornella, Puleio, Maria, Vitarelli, Susanna, Antonini, Silvia, Candela, Giuseppina, Pappalardo, Giuseppe, Scuderi, Tiziana, Lottero, Barbara, Ribaudo, Michele, Ricci, Paolo, Guarda, Linda, Gatti, Luciana, Bozzeda, Annalaura, Dall Acqua, Maria, Pironi, Vanda, Sutera Sardo, Antonella, Mazzei, Adriana, Sirianni, Nicola, Lavecchia, Anna Maria, Mancuso, Pierina, Usala, Mario, Pala, Filomena, Sini, Giovanna Maria, Pintori, Nicolina, Canu, Luisa, Demurtas, Giuliana, Doa, Nina, Pisani, Paola, Pastore, Guido, Magnani, Corrado, Terracini, Benedetto, Cena, Tiziana, Alessi, Daniela, Baussano, Iacopo, Merletti, Franco, Maule, Milena, Mosso, Maria Luisa, Nonnato, Marinella, Rasulo, Assunta, Richiardi, Lorenzo, Zuccolo, Luisa, Pivetta, Emanuele, Dalmasso, Paola, Macerata, Vanda, Ponz Leon, Maurizio, Domati, Federica, Rossi, Giuseppina, Goldoni, Carlo Alberto, Rossi, Federica, Gaetani, Carmela, Benatti, Piero, Roncucci, Luca, Di Gregorio, Carmela, Pedroni, Monica, Pezzi, Annalisa, Maffei, Stefania, Mariani, Francesco, Enrica Borsi, Cocchioni, Mario, Pascucci, Cristiana, Gennaro, Valerio, Lazzarotto, Anna, Benfatto, Lucia, Mazzucco, Giovanna, Montanaro, Fabio, AIRTUM Working Group […, Enrica, Borsi, and …]
- Subjects
Adult ,Male ,Time Factors ,Adolescent ,Databases, Factual ,Remission Induction ,Infant ,Middle Aged ,CANCER ,Cancer prevalence ,Italy ,Epidemiologic Studies ,Young Adult ,Child, Preschool ,Neoplasms ,Prevalence ,Humans ,Long-term survivors ,Female ,Registries ,Survivors ,Child ,Aged - Abstract
OBJECTIVES: the aim of the present monograph is to update the estimation of the number of people living with cancer in Italy, to describe geographic variability, and estimate the number of long-term survivors, i.e., people living five years or more after a cancer diagnosis. MATERIALS AND METHODS: the study included the data of the AIRTUMdatabase. Twenty-four Cancer Registries (CRs) (covering 27% of the Italian population) collected information on the incidence and vital status of 1,275,353 cases diagnosed between 1978 and 2005. For each CR, the observed prevalence was calculated up to the maximum observable duration. To estimate the complete prevalence (all living patients, independently from time since diagnosis) and the prevalence for lengths of time exceeding the CR maximum duration of registration, the observed prevalence was corrected through a completeness index. Completeness indices, gender, age and site specific, were estimated by means of statistical regression models using cancer incidence and survival data available from CRs with more than 15 years of observation. As of 1 January 2006, the prevalence was estimated (as absolute numbers and as a proportion per 100,000 inhabitants) for 46 cancer sites, by gender, age class, years since diagnosis and geographic areas. RESULTS: as of 2006, 2,244,000 persons (4%of the Italian population) were alive with a cancer diagnosis. A relevant geographic variability emerged, with proportions between 4%-5% among CRs in the Centre and North of Italy, and proportions between 2%-3% in the South. Forty-four percent of prevalent subjects (988,000) were males and 56% (1,256,000) females. Fifty-seven percent (1,285,680 people, 2.2% of total population) of these patients was represented by long-term survivors. In patients aged 75 years or more, the proportions of prevalent cases were 19%in males and 13%in females, and 10%between 60 and 75 years of age in both genders.More than half a million Italian women were alive with a breast cancer diagnosis (42%of women with a neoplasm), followed by women with cancers of the colonrectum (12%), corpus uteri (7%), thyroid (5%), and cervix uteri (4%). In men, 22%of prevalent cases (216,716) included patients with prostate cancer, 18% with bladder cancer, and 15%with colon-rectum cancer. Percentages of long-term survivors higher than 70% were reported for cancers of the cervix uteri (82% at five years, and 55% at 15 years from diagnosis), Hodgkin lymphoma, testis, brain and central nervous system, bone and connective tissue. Many patients with these types of cancers (often occurring in young people) can be considered "cured", i.e., with a life expectancy overlapping that of the general population.The estimated proportions of prevalent cases emerging from this study in Italy were quite similar to those reported in Northern Europe, but at least 15%lower than those in the United States. CONCLUSIONS: in 2006, the number of prevalent cases nearly doubled compared to 1992. The increase over time in the proportion of elderly patients, related to population ageing, requires adequate health policies. Knowing the number of people alive many years after cancer diagnosis (either cured or long-term survivors) provides the scientific bases for the definition of health policies focusing on them. Furthermore, it promotes the conduction of studies aimed at improving the present knowledge on the quality of life of these patients during and after the active phase of treatments, in addition to studies on the long-term effects of treatments.
9. Analysis of the excess mortality and factors associated with deaths from COVID-19 versus other causes in Central Tuscany (Italy) in 2020.
- Author
-
Levi M, Cipriani F, Romeo G, and Balzi D
- Subjects
- Causality, Humans, Italy epidemiology, Male, Mortality, Pandemics, SARS-CoV-2, COVID-19
- Abstract
Objectives: to assess the extent of the excess mortality from all causes in 2020 compared to 2015-2019 in Central Tuscany (Italy) as a proxy to estimate COVID-19-related excess mortality and to identify demographic and clinical differences between subjects who died from COVID-19 and those who died from other causes in 2020., Design: descriptive analysis of the temporal trend of general mortality., Setting and Participants: the study population is represented by the 1.6 million residents living in the territory of the Central Tuscany Healthcare Authority in Central Italy, i.e., little less than half of the population of Tuscany, in an area of just over one fifth of the entire region, where the provinces of Florence, Pistoia, and Prato are comprised. MAIN OUTCOME MEASURES: using the Italian National Resident Population Registry (ANPR) as a source of mortality data, standardized mortality ratios with 95% confidence intervals were calculated to compare the number of deaths in 2020 with the number of deaths expected on the basis of mortality data from 2015 to 2019. Furthermore, after record linkage with data from the integrated surveillance of cases of SARS-CoV-2 virus infection and with the MaCro dataset of comorbidities, the characteristics of subjects who died from COVID-19 were compared with those of patients who died from other causes using a multivariate logistic regression model; odds ratios with 95% confidence intervals were calculated., Results: a statistically significant excess mortality was observed during the first pandemic wave in March and April, and during the second wave in the fall; it ranged between +9% in March and +51% in November. On the contrary, in January, February, and May, all-cause mortality was significantly lower than in previous years. The male gender, dyslipidaemia, and dementia were positively associated with death from COVID-19 rather than from all other causes. On the contrary, heart failure and recent tumours were more represented among deaths from other causes. CONCLUSIONS: much of the over-mortality observed in spring is attributable to the harvesting effect COVID-19 exerted on a segment of population with serious underlying chronic conditions and who in the previous months had survived a mild winter and a flu season of medium intensity. In the second pandemic wave, in autumn, the impact of both direct and indirect effects of COVID-19 was substantially higher. Consistently with the available evidence, death from COVID-19 was related to the male gender and to clinical conditions such as dyslipidaemia and dementia.
- Published
- 2021
- Full Text
- View/download PDF
10. [Reassessment of burden of occupational fatal injuries in Italy, 1951-2017].
- Author
-
Ariani F, Baldasseroni A, Biffino M, Romeo G, and Levi M
- Subjects
- Child, Humans, Italy epidemiology, Life Expectancy, Quality-Adjusted Life Years, Retrospective Studies, Occupational Injuries mortality
- Abstract
Background: occupational injuries in Italy are registered primarily by the Italian National Institute for insurance against accidents at work (Inail); its statistics show the number of events by consequence type (temporary, permanent, fatal). Data prior to 2001 include fatalities only if benefits were paid to survivors entitled to compensation, typically spouse and/or children., Objectives: to estimate the number of fatal injuries occurred to workers without survivors entitled to compensation, not considered in INAIL statistics for the period 1951-2000; to evaluate years lived with disability (YLD) years of life lost (YLL), disability-adjusted life years (DALY) caused by all occupational injuries occurred in Italy, period 1951-2016., Design: evaluation of the stability of the ratio among fatal accidents with and without survivors, along the period of observation (2001-2017); retrospective application of such ratio to data related to the period 1951-2000; linkage of individual injury data to Global Burden of Disease injury categories and calculation of corresponding YLLs, YLDs, DALYs; calculation of mean values by main type of consequences (temporary, permanent, fatal); application of above means to Italian data 1951-2017., Setting and Participants: occupational injuries compensated by Inail in Italy, 1951-2017., Main Outcome Measures: number of injuries, YLDs, YLLs, DALYs., Results: fatal occupational injuries, not considered in official statistics for the period 1951-2000, are estimated to be 26,218 cases, corresponding to 1.4 millions of YLLs. In the same period, total occupational injuries (with temporary, permanent or fatal consequences) correspond to 11.5 millions of DALYs, fatal component corresponded to 5.1 millions of YLLs., Conclusions: Estimated total number of fatal occupational injuries in 1951-2000 is 28% higher than official Inail data. Considering YLLs, such increase rises up to 37%. Such difference reflects younger mean age and consequent longer life expectancy of workers without survivors. Considering DALYs, the increase is 14%. Throughout the period 1951-2017, a progressive reduction of the burden of injury is observed. At the same time a qualitative change is observed, with reduction from 55% to 30% of YLL/DALY ratio.
- Published
- 2020
- Full Text
- View/download PDF
11. Effects of the work limitations on the career path of a cohort of health workers.
- Author
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Talini D, Romeo G, Baldasseroni A, Mignani A, and Cristaudo A
- Subjects
- Adult, Age Factors, Cross-Sectional Studies, Female, Follow-Up Studies, Humans, Male, Middle Aged, Time Factors, Career Mobility, Health Personnel, Occupational Health, Work Capacity Evaluation
- Abstract
Background: The median age of the workforce, and of healthcare workers in particular, is increasing, resulting in a reduced work capacity. This may prompt the occupational physician to issue fitness for work limitations., Objectives: To examine the health surveillance data collected over 20 years on the employees of a large healthcare institution to identify the effects of the limitations imposed on their career paths., Methods: The database of health surveillance records gathered over the years was analysed using the same dedicated software. Fourteen types of limitations were classified via a "text mining" treatment. 3,653 subjects were selected, divided in two groups (A: with a limitation and B: without limitation) comprised of 655 and 2,998 subjects, respectively. The subjects were then ranked on the basis of departments and tasks involved. We also evaluated the number of departmental changes for each worker and the corresponding rate of change for the three groups A, B and B post-limitation., Results: Limitations have been increasing in parallel with the aging of workers, in particular those relating to Manual Load Handling/Posture (MLH/P). The limitations due to Allergy/Latex lasted longer, and in a greater proportion than MLH/P, particularly when compared to the limitation for Shift Work and those for "Other Limitations" that were shrinking faster., Conclusions: There is a clear relationship between certain types of limitations/prescriptions and workers' ages. It is necessary to carry out an assessment of the association with the work performed in order to implement age management strategies aimed at maintaining work capacity in aging workers.
- Published
- 2017
- Full Text
- View/download PDF
12. [Fatal injuries at work in Tuscany Region (Central Italy): content analysis of newspapers].
- Author
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Romeo G, Bertini G, Biffino M, and Baldasseroni A
- Subjects
- Female, Humans, Italy epidemiology, Male, Mass Media, Occupational Injuries mortality
- Abstract
Objectives: to describe how journalists report events such as fatal accidents work through the newspapers., Design: analysis of the textual content of titles and texts, using qualitative and quantitative techniques., Setting and Participants: 184 articles related to 180 work-related fatalities occurred in Tuscany Region (Central Italy) in the period 2008-2009 were examined., Main Outcome Measures: frequency of citation of significant adjectives relating to the use of frames in titles was measured; frequency of citation of the laquo;subjects attended the venue for office tasksraquo; and laquo;subjects whose statements are reported in relation to the eventraquo; in relation to the circumstances of the event and some available demographic features was also evaluated., Results: compared to texts, titles of the articles are characterized by higher frequency of adjectives that describe the emotional intensity. Articles describing tractors or road accidents and articles that describe sudden deaths are shorter than the others. Among the subgroups of subjects quoted in the text of the articles, health authorities are less mentioned in the articles dealing with road accidents, while they are more common in those due to falls from a height, where also social forces which issue statements to the press are more frequently mentioned. The analysis of co-occurrences visually shows which activities are carried out by these subgroups of subjects in the texts of the selected articles., Conclusion: the study shows the message that is conveyed to the public by the mass medium newspaper. Hopefully, in the future, following results of similar studies, it will be easier focusing awareness and transmission of information, which are essential for prioritization process of public health initiatives to be taken. This study was preliminary in nature, opening a field of interest so far little practised in our Country.
- Published
- 2014
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