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2. Long-term survival for lymphoid neoplasms and national health expenditure (EUROCARE-6): a retrospective, population-based study

Author

Hackl, Monika, Van Eycken, Elizabeth, Van Damme, Nancy, Valerianova, Zdravka, Sekerija, Mario, Scoutellas, Vasos, Demetriou, Anna, Dušek, Ladislav, Krejici, Denisa, Storm, Hans, Mägi, Margit, Innos, Kaire, Pitkäniemi, Janne, Velten, Michel, Troussard, Xavier, Bouvier, Anne-Marie, Jooste, Valerie, Guizard, Anne-Valérie, Launoy, Guy, Dabakuyo Yonli, Sandrine, Maynadié, Marc, Woronoff, Anne-Sophie, Nousbaum, Jean-Baptiste, Coureau, Gaëlle, Monnereau, Alain, Baldi, Isabelle, Hammas, Karima, Tretarre, Brigitte, Colonna, Marc, Plouvier, Sandrine, D'Almeida, Tania, Molinié, Florence, Cowppli-Bony, Anne, Bara, Simona, Debreuve, Adeline, Defossez, Gautier, Lapôtre-Ledoux, Bénédicte, Grosclaude, Pascale, Daubisse-Marliac, Laetitia, Luttmann, Sabine, Eberle, Andrea, Stabenow, Roland, Nennecke, Alice, Kieschke, Joachim, Zeissig, Sylke, Holleczek, Bernd, Katalinic, Alexander, Birgisson, Helgi, Murray, Deirdre, Walsh, Paul M, Mazzoleni, Guido, Vittadello, Fabio, Cuccaro, Francesco, Galasso, Rocco, Sampietro, Giuseppe, Rosso, Stefano, Gasparotti, Cinzia, Maifredi, Giovanni, Ferrante, Margherita, Ragusa, Rosalia, Sutera Sardo, Antonella, Gambino, Maria Letizia, Lanzoni, Monica, Ballotari, Paola, Giacomazzi, Erica, Ferretti, Stefano, Caldarella, Adele, Manneschi, Gianfranco, Gatta, Gemma, Sant, Milena, Baili, Paolo, Berrino, Franco, Botta, Laura, Trama, Annalisa, Lillini, Roberto, Bernasconi, Alice, Bonfarnuzzo, Simone, Vener, Claudia, Didonè, Fabio, Lasalvia, Paolo, Buratti, Lucia, Tagliabue, Giovanna, Serraino, Diego, Dal Maso, Luigino, Capocaccia, Riccardo, De Angelis, Roberta, Demuru, Elena, Cerza, Francesco, Di Mari, Fabrizio, Di Benedetto, Corrado, Rossi, Silvia, Santaquilani, Mariano, Venanzi, Serenella, Tallon, Marco, Boni, Luca, Iacovacci, Silvia, Gennaro, Valerio, Russo, Antonio Giampiero, Gervasi, Federico, Spagnoli, Gianbattista, Cavalieri d'Oro, Luca, Fusco, Mario, Vitale, Maria Francesca, Usala, Mario, Mazzucco, Walter, Michiara, Maria, Chiranda, Giorgio, Cascone, Giuseppe, Rollo, Concetta Patrizia, Mangone, Lucia, Falcini, Fabio, Cavallo, Rossella, Piras, Daniela, Madeddu, Anselmo, Bella, Francesca, Fanetti, Anna Clara, Minerba, Sante, Candela, Giuseppina, Scuderi, Tiziana, Rizzello, Roberto Vito, Stracci, Fabrizio, Rugge, Massimo, Brustolin, Angelita, Pildava, Santa, Smailyte, Giedre, Azzopardi, Miriam, Johannesen, Tom Børge, Didkowska, Joanna, Wojciechowska, Urszula, Bielska-Lasota, Magdalena, Pais, Ana, Bento, Maria José, Ferreira, Ana Maia, Lourenço, António, Safaei Diba, Chakameh, Zadnik, Vesna, Zagar, Tina, Sánchez-Contador Escudero, Carmen, Franch Sureda, Paula, Lopez de Munain, Arantza, De-La-Cruz, Marta, Rojas, María Dolores, Aleman, Araceli, Vizcaino, Ana, Marcos-Gragera, Rafael, Sanvisens, Arantza, Sanchez, Maria Josè, Chirlaque Lopez, Maria Dolores, Sanchez-Gil, Antonia, Guevara, Marcela, Ardanaz, Eva, Galceran, Jaume, Carulla, Maria, Bergeron, Yvan, Bouchardy, Christine, Mohsen Mousavi, Seyed, Went, Philip, Blum, Marcel, Bordoni, Andrea, Visser, Otto, Stevens, Sarah, Broggio, John, Bennett, Damien, Gavin, Anna, Morrison, David, Huws, Dyfed Wyn, Paapsi, Keiu, Mousavi, Seyed Mohsen, and Sánchez, Maria-Jose

Published
2024
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3. Complete cancer prevalence in Europe in 2020 by disease duration and country (EUROCARE-6): a population-based study

Author

Hackl, Monika, Van Eycken, Elizabeth, Van Damme, Nancy, Valerianova, Zdravka, Sekerija, Mario, Scoutellas, Vasos, Demetriou, Anna, Dušek, Ladislav, Krejici, Denisa, Storm, Hans, Mägi, Margit, Innos, Kaire, Pitkäniemi, Janne, Velten, Michel, Troussard, Xavier, Bouvier, Anne-Marie, Jooste, Valerie, Guizard, Anne-Valérie, Launoy, Guy, Dabakuyo Yonli, Sandrine, Maynadié, Marc, Woronoff, Anne-Sophie, Nousbaum, Jean-Baptiste, Coureau, Gaëlle, Monnereau, Alain, Baldi, Isabelle, Hammas, Karima, Tretarre, Brigitte, Colonna, Marc, Plouvier, Sandrine, D'Almeida, Tania, Molinié, Florence, Cowppli-Bony, Anne, Bara, Simona, Debreuve, Adeline, Defossez, Gautier, Lapôtre-Ledoux, Bénédicte, Grosclaude, Pascale, Daubisse-Marliac, Laetitia, Luttmann, Sabine, Stabenow, Roland, Nennecke, Alice, Kieschke, Joachim, Zeissig, Sylke, Holleczek, Bernd, Katalinic, Alexander, Birgisson, Helgi, Murray, Deirdre, Walsh, Paul M., Mazzoleni, Guido, Vittadello, Fabio, Cuccaro, Francesco, Galasso, Rocco, Sampietro, Giuseppe, Rosso, Stefano, Gasparotti, Cinzia, Maifredi, Giovanni, Ferrante, Margherita, Ragusa, Rosalia, Sutera Sardo, Antonella, Gambino, Maria Letizia, Lanzoni, Monica, Ballotari, Paola, Giacomazzi, Erica, Ferretti, Stefano, Caldarella, Adele, Manneschi, Gianfranco, Gatta, Gemma, Sant, Milena, Baili, Paolo, Berrino, Franco, Botta, Laura, Trama, Annalisa, Lillini, Roberto, Bernasconi, Alice, Bonfarnuzzo, Simone, Vener, Claudia, Didonè, Fabio, Lasalvia, Paolo, Buratti, Lucia, Tagliabue, Giovanna, Serraino, Diego, Dal Maso, Luigino, Capocaccia, Riccardo, De Angelis, Roberta, Demuru, Elena, Di Benedetto, Corrado, Rossi, Silvia, Santaquilani, Mariano, Venanzi, Serenella, Tallon, Marco, Boni, Luca, Iacovacci, Silvia, Gennaro, Valerio, Russo, Antonio Giampiero, Gervasi, Federico, Spagnoli, Gianbattista, Cavalieri d'Oro, Luca, Fusco, Mario, Vitale, Maria Francesca, Usala, Mario, Mazzucco, Walter, Michiara, Maria, Chiranda, Giorgio, Cascone, Giuseppe, Giurdanella, Maria Concetta, Mangone, Lucia, Falcini, Fabio, Cavallo, Rossella, Piras, Daniela, Madeddu, Anselmo, Bella, Francesca, Fanetti, Anna Clara, Minerba, Sante, Candela, Giuseppina, Scuderi, Tiziana, Rizzello, Roberto Vito, Stracci, Fabrizio, Rugge, Massimo, Brustolin, Angelita, Pildava, Santa, Smailyte, Giedre, Azzopardi, Miriam, Johannesen, Tom Børge, Didkowska, Joanna, Wojciechowska, Urszula, Bielska-Lasota, Magdalena, Pais, Ana, Bento, Maria José, Calisto, Rita, Lourenço, António, Safaei Diba, Chakameh, Zadnik, Vesna, Zagar, Tina, Sánchez-Contador Escudero, Carmen, Franch Sureda, Paula, Lopez de Munain, Arantza, De-La-Cruz, Marta, Rojas, Marìa Dolores, Aleman, Araceli, Vizcaino, Ana, Marcos-Gragera, Rafael, Sanvisens, Arantza, Sanchez, Maria Josè, Chirlaque Lopez, Maria Dolores, Sanchez-Gil, Antonia, Guevara, Marcela, Ardanaz, Eva, Galceran, Jaume, Carulla, Maria, Bergeron, Yvan, Bouchardy, Christine, Mohsen Mousavi, Seyed, Went, Philip, Blum, Marcel, Bordoni, Andrea, Visser, Otto, Stevens, Sarah, Broggio, John, Bennett, Damien, Gavin, Anna, Morrison, David, Huws, Dyfed Wyn, Ventura, Leonardo, Paapsi, Keiu, Randi, Giorgia, Bettio, Manola, and Guzzinati, Stefano

Published
2024
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4. Worldwide trends in population-based survival for children, adolescents, and young adults diagnosed with leukaemia, by subtype, during 2000–14 (CONCORD-3): analysis of individual data from 258 cancer registries in 61 countries

Author

Bouzbid, Sabiha, Hamdi-Chérif, Mokhtar, Kara, Lamia, Meguenni, Kaouel, Regagba, Derbali, Bayo, Sine, Cheick Bougadari, Traore, Manraj, Shyam Shunker, Bendahhou, Karima, Ladipo, Akinade, Ogunbiyi, Olufemi, Somdyala, Nontuthuzelo, Chaplin, María Agustina, Moreno, Florencia, Calabrano, Gladis, Espinola, Silvia, Carballo Quintero, Beatriz, Fita, Rosalba, Laspada, Walter, Ibañez, Susana, Lima, Carlos, Mafra Da Costa, Allini, De Souza, Paulo César, Chaves, Juliana, Laporte, Cyntia, Curado, Maria Paula, de Oliveira, Jose Carlos, Veneziano, Claudia, Veneziano, Donaldo, Almeida, Ana Beatriz, Latorre, Maria, Azevedo e Silva, Gulnar, Rebelo, Marise, Santos, Marceli, Galaz, Juan, Aparicio Aravena, Mackarena, Sanhueza Monsalve, Jocelyn, Herrmann, Denise, Vargas, Solange, Herrera, Victor, Uribe, Claudia, Bravo, Luis Eduardo, Garcia, Luz Stella, Arias-Ortiz, Nelson, Morantes, Daniela, Jurado, Daniel, Yépez Chamorro, María, Delgado, Sandra, Ramirez, Melissa, Galán Alvarez, Yaima, Torres, Priscila, Martínez-Reyes, Fray, Jaramillo, Leyda, Quinto, Rina, Castillo, Jhoanna, Mendoza, Mariela, Cueva, Patricia, Yépez, José, Bhakkan, Bernard, Deloumeaux, Jacqueline, Joachim, Clarisse, Macni, Jonathan, Carrillo, Rodolfo, Shalkow Klincovstein, Jaime, Rivera Gomez, Rebeca, Perez, Patricia, Poquioma, Ebert, Tortolero-Luna, Guillermo, Zavala, Diego, Alonso, Rafael, Barrios, Enrique, Eckstrand, Angela, Nikiforuk, Cindy, Woods, Ryan, Noonan, Gail, Turner, Donna, Kumar, Eshwar, Zhang, Bin, Dowden, Jeff, Doyle, Gregory, Saint-Jacques, Nathalie, Walsh, Gordon, Anam, Aniq, De, Prithwish, McClure, Carol, Vriends, Kim, Bertrand, Christine, Ramanakumar, Agnihotram, Kozie, Serena, Stuart-Panko, Heather, Freeman, Tara, George, Justin, Avila, Rosa, O'Brien, David, Holt, Abby, Almon, Lyn, Ward, Kevin, Kwong, Sandy, Morris, Cyllene, Rycroft, Randi, Mueller, Lloyd, Phillips, Cathryn, Brown, Heather, Cromartie, Betsy, Ruterbusch, Julie, Schwartz, Ann, Levin, Gary, Wohler, Brad, Bayakly, Rana, Gomez, Scarlett, McKinley, Meg, Cress, Rosemary, Davis, Joni, Hernandez, Brenda, Johnson, Christopher, Morawski, Bozena, Ruppert, Laura, Bentler, Suzanne, Charlton, Mary, Huang, Bin, Tucker, Thomas, Deapen, Dennis, Liu, Lihua, Hsieh, Mei-Chin, Wu, Xiao-Cheng, Schwenn, Molly, Stern, Kimberly, Gershman, Susan, Knowlton, Richard, Alverson, Georgetta, Weaver, Tamara, Desai, Jay, Rogers, Deirdre, Jackson-Thompson, Jeanette, Lemons, Debbi, Zimmerman, Heather, Hood, Michelle, Roberts-Johnson, Jenifer, Hammond, Whitney, Rees, Judith, Pawlish, Karen, Stroup, Antoinette, Key, Charles, Wiggins, Charles, Kahn, Amy, Schymura, Maria, Radhakrishnan, Soundarya, Rao, Chandrika, Giljahn, Lynn, Slocumb, Roberta, Dabbs, Christy, Espinoza, Raffaella, Aird, Karen, Beran, Todd, Rubertone, Jim, Slack, Stephen, Oh, Junhie, Janes, Tiffany, Schwartz, Stephen, Chiodini, Stephanie, Hurley, Deborah, Whiteside, Martin, Rai, Saroj, Williams, Melanie, Herget, Kim, Sweeney, Carol, Johnson, Alison, Keitheri Cheteri, Mahesh, Migliore Santiago, Patti, Blankenship, Steven, Farley, Shawn, Borchers, Robert, Malicki, Robin, Espinoza, Julia, Grandpre, Joseph, Edwards, Brenda, Mariotto, Angela, Weir, Hannah, Wilson, Reda, Wang, Ning, Yang, Lei, Chen, Jian-Shun, He, Yu-Tong, Song, Guo-Hui, Gu, Xiao-Ping, Mei, Dan, Ge, Heng-Ming, Wu, Tong-Hao, Li, Yan-Yan, Zhao, De-Li, Jin, Feng, Zhang, Jian-Hua, Zhu, Feng-Dong, Junhua, Qian, Yang, Yan Lei, Jiang, Chun-Xiao, Biao, Wang, Wang, Jian, Li, Qi-Long, Yi, He, Zhou, Xin, Dong, JianMei, Li, WeiWei, Fu, Fang-Xian, Chen, Jian-Guo, Zhu, Jian, Li, Yan-Hua, Lu, Yu-Qiang, Fan, Min, Huang, Su-Qin, Guo, Guo-Ping, Zhaolai, Hua, Wei, Kuangrong, Chen, Wan-Qing, Wei, Wenqiang, Zeng, Hongmei, Demetriou, Anna, Mang, Wai Kong, Ngan, Kai Cheong, Kataki, Amal, Krishnatreya, Manigreeva, Jayalekshmi, Padmavathi Amma, Sebastian, Paul, George, Preethi, Mathew, Aleyamma, Nandakumar, Ambakumar, Malekzadeh, Reza, Roshandel, Gholamreza, Keinan-Boker, Lital, Silverman, Barbara, Ito, Hidemi, Koyanagi, Yuriko, Sato, Masako, Tobori, Fumio, Nakata, Ichiro, Teramoto, Norihiro, Hattori, Masakazu, Kaizaki, Yasuharu, Moki, Fumitaka, Sugiyama, Hiromi, Utada, Mai, Nishimura, Makiko, Yoshida, Keiichi, Kurosawa, Katsuki, Nemoto, Yuji, Narimatsu, Hiroto, Sakaguchi, Masahiko, Kanemura, Seiki, Naito, Michiko, Narisawa, Rintaro, Miyashiro, Isao, Nakata, Kayo, Mori, Daisuke, Yoshitake, Mayuko, Oki, Izumi, Fukushima, Norimasa, Shibata, Akiko, Iwasa, Keiichiro, Ono, Chie, Matsuda, Tomohiro, Nimri, Omar, Jung, Kyu-Won, Won, Young-Joo, Alawadhi, Eiman, Elbasmi, Amani, Ab Manan, Azizah, Adam, Farzaana, Nansalmaa, Erdenekhuu, Tudev, Undarmaa, Ochir, Chimedsuren, Al Khater, Al Hareth, El Mistiri, Mufid, Lim, Gek Hsiang, Teo, Yik Ying, Chiang, Chun-Ju, Lee, Wen-Chung, Buasom, Rangsiya, Sangrajrang, Suleeporn, Suwanrungruang, Krittika, Vatanasapt, Patravoot, Daoprasert, Karnchana, Pongnikorn, Donsuk, Leklob, Atit, Sangkitipaiboon, Somphob, Geater, Sarayut, Sriplung, Hutcha, Ceylan, Okan, Kög, Iskender, Dirican, Oya, Köse, Tülay, Gurbuz, Tulın, Karašahin, Füsun Emine, Turhan, Duygu, Aktaş, Umut, Halat, Yakup, Eser, Sultan, Yakut, Cankut, Altinisik, Merve, Cavusoglu, Yasar, Türkköylü, Ayşe, Üçüncü, Nuršen, Hackl, Monika, Zborovskaya, Anna, Aleinikova, Olga, Henau, Kris, Van Eycken, Liesbet, Atanasov, Trayan, Valerianova, Zdravka, Šekerija, Mario, Dušek, Ladislav, Zvolský, Miroslav, Steinrud Mørch, Lina, Storm, Hans, Wessel Skovlund, Charlotte, Innos, Kaire, Mägi, Margit, Malila, Nea, Seppä, Karri, Jégu, Jérémie, Velten, Michel, Cornet, Edouard, Troussard, Xavier, Bouvier, Anne-Marie, Guizard, Anne-Valérie, Bouvier, Véronique, Launoy, Guy, Dabakuyo Yonli, Sandrine, Poillot, Marie-Laure, Maynadié, Marc, Mounier, Morgane, Vaconnet, Lina, Woronoff, Anne-Sophie, Daoulas, Mélanie, Robaszkiewicz, Michel, Clavel, Jacqueline, Poulalhon, Claire, Desandes, Emmanuel, Lacour, Brigitte, Baldi, Isabelle, Pouchieu, Camille, Amadeo, Brice, Coureau, Gaëlle, Monnereau, Alain, Audoin, Magali, D'Almeida, Tania, Boyer, Séverine, Hammas, Karima, Trétarre, Brigitte, Colonna, Marc, Delafosse, Patricia, Plouvier, Sandrine, Cowppli-Bony, Anne, Molinié, Florence, Bara, Simona, Ganry, Olivier, Lapôtre-Ledoux, Bénédicte, Daubisse-Marliac, Laetitia, Bossard, Nadine, Estève, Jacques, Uhry, Zoé, Stabenow, Roland, Wilsdorf-Köhler, Heide, Eberle, Andrea, Luttmann, Sabine, Löhden, Imma, Nennecke, Alice, Kieschke, Joachim, Sirri, Eunice, Justenhoven, Christina, Zeissig, Sylke, Holleczek, Bernd, Eisemann, Nora, Katalinic, Alexander, Asquez, Rachelle, Kumar, Vijay, Petridou, Eleni, Ólafsdóttir, Elínborg, Tryggvadóttir, Laufey, Murray, Deirdre, Walsh, Paul, Sundseth, Hildrun, Mazzoleni, Guido, Vittadello, Fabio, Coviello, Enzo, Cuccaro, Francesco, Galasso, Rocco, Sampietro, Giuseppe, Magoni, Michele, Ardizzone, Antonino, D'Argenzio, Angelo, Di Prima, Alessia Anna, Ippolito, Antonella, Lavecchia, Anna Maria, Sutera Sardo, Antonella, Gola, Gemma, Ballotari, Paola, Giacomazzi, Erica, Ferretti, Stefano, Dal Maso, Luigino, Serraino, Diego, Celesia, Maria Vittoria, Filiberti, Rosa Angela, Pannozzo, Fabio, Melcarne, Anna, Quarta, Fabrizio, Andreano, Anita, Russo, Antonio Giampiero, Carrozzi, Giuliano, Cirilli, Claudia, Cavalieri d'Oro, Luca, Rognoni, Magda, Fusco, Mario, Vitale, Maria Francesca, Usala, Mario, Cusimano, Rosanna, Mazzucco, Walter, Michiara, Maria, Sgargi, Paolo, Boschetti, Lorenza, Chiaranda, Giorgio, Seghini, Pietro, Maule, Milena, Merletti, Franco, Spata, Eugenia, Tumino, Rosario, Mancuso, Pamela, Vicentini, Massimo, Cassetti, Tiziana, Sassatelli, Romano, Falcini, Fabio, Giorgetti, Stefania, Caiazzo, Anna Luisa, Cavallo, Rossella, Piras, Daniela, Bella, Francesca, Madeddu, Anselmo, Fanetti, Anna Clara, Maspero, Sergio, Carone, Simona, Mincuzzi, Antonia, Candela, Giuseppa, Scuderi, Tiziana, Gentilini, Maria Adalgisa, Rizzello, Roberto, Rosso, Stefano, Zanetti, Roberto, Caldarella, Adele, Intrieri, Teresa, Bianconi, Fortunato, Stracci, Fabrizio, Contiero, Paolo, Tagliabue, Giovanna, Rugge, Massimo, Zorzi, Manuel, Beggiato, Simonetta, Brustolin, Angelita, De Angelis, Roberta, Gatta, Gemma, Maurina, Anita, Oniščuka, Marija, Mousavi, Mohsen, Lipunova, Nadezda, Vincerzevskienė, Ieva, Agius, Dominic, Calleja, Neville, Siesling, Sabine, Visser, Otto, Johannesen, Tom, Larønningen, Siri, Trojanowski, Maciej, Mierzwa, Tomasz, Rachtan, Jadwiga, Kępska, Kamila, Kościańska, Beata, Wójcik-Tomaszewska, Joanna, Motnyk, Marcin, Gos, Anna, Bielska-Lasota, Magdalena, Didkowska, Joanna, Wojciechowska, Urszula, Forjaz de Lacerda, Gonçalo, Rego, Raul, Carrito, Branca, Pais, Ana, Bento, Maria José, Rodrigues, Jessica, Lourenço, Antonio, Mayer-da-Silva, Alexandra, Blaga, Luminita, Coza, Daniela, Valkov, Mikhail, Gusenkova, Lubov, Lazarevich, Olga, Prudnikova, Olga, Vjushkov, Dmitri Mikhailovich, Egorova, Alla, Orlov, Andrey, Pikalova, Lidiya, Zhuikova, Lilia, Adamcik, Juraj, Safaei Diba, Chakameh, Zadnik, Vesna, Zagar, Tina, De-La-Cruz, Marta, Lopez-de-Munain, Arantza, Aleman, Araceli, Rojas, Dolores, Chillarón, Rosario Jiménez, Navarro, Ana Isabel Marcos, Marcos-Gragera, Rafael, Puigdemont, Montse, Rodríguez-Barranco, Miguel, Sánchez Perez, María-José, Franch Sureda, Paula, Ramos Montserrat, Maria, Chirlaque López, Maria Dolores, Sánchez Gil, Antonia, Ardanaz, Eva, Guevara, Marcela, Cañete-Nieto, Adela, Peris-Bonet, Rafael, Carulla, Marià, Galceran, Jaume, Almela, Fernando, Sabater, Consol, Khan, Staffan, Pettersson, David, Dickman, Paul, Staehelin, Katharina, Struchen, Benjamin, Herrmann, Christian, Mousavi, Seyed Mohsen, Egger Hayoz, Céline, Bouchardy, Christine, Schaffar, Robin, Went, Philip, Bulliard, Jean-Luc, Maspoli-Conconi, Manuela, Kuehni, Claudia, Redmond, Shelagh, Bordoni, Andrea, Ortelli, Laura, Chiolero, Arnaud, Konzelmann, Isabelle, Rohrmann, Sabine, Wanner, Miriam, Broggio, John, Rashbass, Jem, Stiller, Charles, Fitzpatrick, Deirdre, Gavin, Anna, Morrison, David, Thomson, Catherine, Greene, Giles, Huws, Dyfed, Allemani, Claudia, Coleman, Michel, Di Carlo, Veronica, Girardi, Fabio, Matz, Melissa, Minicozzi, Pamela, Sanz, Natalia, Ssenyonga, Naomi, Stephens, Richard, Chalker, Elizabeth, Smith, Mirka, Gugusheff, Jessica, You, Hui, Qin Li, Shu, Dugdale, Sarah, Moore, Julie, Philpot, Shoni, Pfeiffer, Rhonda, Thomas, Helen, Silva Ragaini, Bruna, Venn, Alison, Evans, Sue, Te Marvelde, Luc, Savietto, Vedrana, Trevithick, Richard, Currow, David, Fowler, Christine, Lewis, Chris, Shalkow, Jaime, Bonaventure, Audrey, Wyn Huws, Dyfed, and Coleman, Michel P

Published
2022
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5. To what extent do age, stage and treatment influence survival after invasive cervical cancer: a French population-based study

Author

Compaoré, Zoéwendtalé Cyrille, Monnet, Elisabeth, Gérazime, Aurélie, Molinié, Florence, Guizard, Anne-Valérie, Delafosse, Patricia, Dabakuyo-Yonli, Tienhan Sandrine, Coureau, Gaëlle, Hammas, Karima, Plouvier, Sandrine, Bara, Simona, Défossez, Gautier, Lapôtre-Ledoux, Bénédicte, Daubisse-Marliac, Laetitia, d’Almeida, Tania, Launoy, Guy, Mansi, Laura, Trétarre, Brigitte, and Woronoff, Anne-Sophie

Published
2022
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6. What is the most appropriate period to define synchronous cancers?

Author

Baicry, Florent, Molinié, Florence, Plouvier, Sandrine, Colonna, Marc, Daubisse-Marliac, Laetitia, Grosclaude, Pascale, Trétarre, Brigitte, Bara, Simona, Lapôtre-Ledoux, Bénédicte, Woronoff, Anne-Sophie, Guizard, Anne-Valérie, Bouvier, Véronique, Troussard, Xavier, Marrer, Emilie, Klein, Delphine, Velten, Michel, and Jégu, Jérémie

Published
2021
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9. Épidémiologie descriptive des cancers en France métropolitaine : incidence, survie et prévalence

Author

Amadeo, Brice, Arveux, Patrick, Baldi, Isabelle, Bara, Simona, Bouvier, Anne-Marie, Bouvier, Véronique, Clavel, Jacqueline, Colonna, Marc, Coureau, Gaëlle, Cowppli-Bony, Anne, Dalmeida, Tania, Daubisse-Marliac, Laetitia, Defossez, Gautier, Delafosse, Patricia, Deloumeaux, Jacqueline, Grosclaude, Pascale, Guizard, Anne-Valérie, Joachim, Clarisse, Lacour, Brigitte, Lapôtre-Ledoux, Bénédicte, Marrer, Emilie, Maynadié, Marc, Molinié, Florence, Monnereau, Alain, Nousbaum, Jean-Baptiste, Plenet, Juliette, Plouvier, Sandrine, Pouchieu, Camille, Robaszkiewicz, Michel, Schvartz, Claire, Trétarre, Brigitte, Troussard, Xavier, Velten, Michel, Woronoff, Anne-Sophie, Ligier, Karine, and Jooste, Valérie

Published
2019
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10. Complete cancer prevalence in Europe in 2020 by disease duration and country (EUROCARE-6): a population-based study

Author

De Angelis, Roberta, primary, Demuru, Elena, additional, Baili, Paolo, additional, Troussard, Xavier, additional, Katalinic, Alexander, additional, Chirlaque Lopez, Maria Dolores, additional, Innos, Kaire, additional, Santaquilani, Mariano, additional, Blum, Marcel, additional, Ventura, Leonardo, additional, Paapsi, Keiu, additional, Galasso, Rocco, additional, Guevara, Marcela, additional, Randi, Giorgia, additional, Bettio, Manola, additional, Botta, Laura, additional, Guzzinati, Stefano, additional, Dal Maso, Luigino, additional, Rossi, Silvia, additional, Hackl, Monika, additional, Van Eycken, Elizabeth, additional, Van Damme, Nancy, additional, Valerianova, Zdravka, additional, Sekerija, Mario, additional, Scoutellas, Vasos, additional, Demetriou, Anna, additional, Dušek, Ladislav, additional, Krejici, Denisa, additional, Storm, Hans, additional, Mägi, Margit, additional, Pitkäniemi, Janne, additional, Velten, Michel, additional, Bouvier, Anne-Marie, additional, Jooste, Valerie, additional, Guizard, Anne-Valérie, additional, Launoy, Guy, additional, Dabakuyo Yonli, Sandrine, additional, Maynadié, Marc, additional, Woronoff, Anne-Sophie, additional, Nousbaum, Jean-Baptiste, additional, Coureau, Gaëlle, additional, Monnereau, Alain, additional, Baldi, Isabelle, additional, Hammas, Karima, additional, Tretarre, Brigitte, additional, Colonna, Marc, additional, Plouvier, Sandrine, additional, D'Almeida, Tania, additional, Molinié, Florence, additional, Cowppli-Bony, Anne, additional, Bara, Simona, additional, Debreuve, Adeline, additional, Defossez, Gautier, additional, Lapôtre-Ledoux, Bénédicte, additional, Grosclaude, Pascale, additional, Daubisse-Marliac, Laetitia, additional, Luttmann, Sabine, additional, Stabenow, Roland, additional, Nennecke, Alice, additional, Kieschke, Joachim, additional, Zeissig, Sylke, additional, Holleczek, Bernd, additional, Birgisson, Helgi, additional, Murray, Deirdre, additional, Walsh, Paul M., additional, Mazzoleni, Guido, additional, Vittadello, Fabio, additional, Cuccaro, Francesco, additional, Sampietro, Giuseppe, additional, Rosso, Stefano, additional, Gasparotti, Cinzia, additional, Maifredi, Giovanni, additional, Ferrante, Margherita, additional, Ragusa, Rosalia, additional, Sutera Sardo, Antonella, additional, Gambino, Maria Letizia, additional, Lanzoni, Monica, additional, Ballotari, Paola, additional, Giacomazzi, Erica, additional, Ferretti, Stefano, additional, Caldarella, Adele, additional, Manneschi, Gianfranco, additional, Gatta, Gemma, additional, Sant, Milena, additional, Berrino, Franco, additional, Trama, Annalisa, additional, Lillini, Roberto, additional, Bernasconi, Alice, additional, Bonfarnuzzo, Simone, additional, Vener, Claudia, additional, Didonè, Fabio, additional, Lasalvia, Paolo, additional, Buratti, Lucia, additional, Tagliabue, Giovanna, additional, Serraino, Diego, additional, Capocaccia, Riccardo, additional, De Angelis, Roberta, additional, Di Benedetto, Corrado, additional, Venanzi, Serenella, additional, Tallon, Marco, additional, Boni, Luca, additional, Iacovacci, Silvia, additional, Gennaro, Valerio, additional, Russo, Antonio Giampiero, additional, Gervasi, Federico, additional, Spagnoli, Gianbattista, additional, Cavalieri d'Oro, Luca, additional, Fusco, Mario, additional, Vitale, Maria Francesca, additional, Usala, Mario, additional, Mazzucco, Walter, additional, Michiara, Maria, additional, Chiranda, Giorgio, additional, Cascone, Giuseppe, additional, Giurdanella, Maria Concetta, additional, Mangone, Lucia, additional, Falcini, Fabio, additional, Cavallo, Rossella, additional, Piras, Daniela, additional, Madeddu, Anselmo, additional, Bella, Francesca, additional, Fanetti, Anna Clara, additional, Minerba, Sante, additional, Candela, Giuseppina, additional, Scuderi, Tiziana, additional, Rizzello, Roberto Vito, additional, Stracci, Fabrizio, additional, Rugge, Massimo, additional, Brustolin, Angelita, additional, Pildava, Santa, additional, Smailyte, Giedre, additional, Azzopardi, Miriam, additional, Johannesen, Tom Børge, additional, Didkowska, Joanna, additional, Wojciechowska, Urszula, additional, Bielska-Lasota, Magdalena, additional, Pais, Ana, additional, Bento, Maria José, additional, Calisto, Rita, additional, Lourenço, António, additional, Safaei Diba, Chakameh, additional, Zadnik, Vesna, additional, Zagar, Tina, additional, Sánchez-Contador Escudero, Carmen, additional, Franch Sureda, Paula, additional, Lopez de Munain, Arantza, additional, De-La-Cruz, Marta, additional, Rojas, Marìa Dolores, additional, Aleman, Araceli, additional, Vizcaino, Ana, additional, Marcos-Gragera, Rafael, additional, Sanvisens, Arantza, additional, Sanchez, Maria Josè, additional, Sanchez-Gil, Antonia, additional, Ardanaz, Eva, additional, Galceran, Jaume, additional, Carulla, Maria, additional, Bergeron, Yvan, additional, Bouchardy, Christine, additional, Mohsen Mousavi, Seyed, additional, Went, Philip, additional, Bordoni, Andrea, additional, Visser, Otto, additional, Stevens, Sarah, additional, Broggio, John, additional, Bennett, Damien, additional, Gavin, Anna, additional, Morrison, David, additional, and Huws, Dyfed Wyn, additional

Published
2024
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20. Worldwide trends in population-based survival for children, adolescents, and young adults diagnosed with leukaemia, by subtype, during 2000–14 (CONCORD-3): analysis of individual data from 258 cancer registries in 61 countries

Author

Ssenyonga, Naomi, primary, Stiller, Charles, additional, Nakata, Kayo, additional, Shalkow, Jaime, additional, Redmond, Shelagh, additional, Bulliard, Jean-Luc, additional, Girardi, Fabio, additional, Fowler, Christine, additional, Marcos-Gragera, Rafael, additional, Bonaventure, Audrey, additional, Saint-Jacques, Nathalie, additional, Minicozzi, Pamela, additional, De, Prithwish, additional, Rodríguez-Barranco, Miguel, additional, Larønningen, Siri, additional, Di Carlo, Veronica, additional, Mägi, Margit, additional, Valkov, Mikhail, additional, Seppä, Karri, additional, Wyn Huws, Dyfed, additional, Coleman, Michel P, additional, Allemani, Claudia, additional, Bouzbid, Sabiha, additional, Hamdi-Chérif, Mokhtar, additional, Kara, Lamia, additional, Meguenni, Kaouel, additional, Regagba, Derbali, additional, Bayo, Sine, additional, Cheick Bougadari, Traore, additional, Manraj, Shyam Shunker, additional, Bendahhou, Karima, additional, Ladipo, Akinade, additional, Ogunbiyi, Olufemi, additional, Somdyala, Nontuthuzelo, additional, Chaplin, María Agustina, additional, Moreno, Florencia, additional, Calabrano, Gladis, additional, Espinola, Silvia, additional, Carballo Quintero, Beatriz, additional, Fita, Rosalba, additional, Laspada, Walter, additional, Ibañez, Susana, additional, Lima, Carlos, additional, Mafra Da Costa, Allini, additional, De Souza, Paulo César, additional, Chaves, Juliana, additional, Laporte, Cyntia, additional, Curado, Maria Paula, additional, de Oliveira, Jose Carlos, additional, Veneziano, Claudia, additional, Veneziano, Donaldo, additional, Almeida, Ana Beatriz, additional, Latorre, Maria, additional, Azevedo e Silva, Gulnar, additional, Rebelo, Marise, additional, Santos, Marceli, additional, Galaz, Juan, additional, Aparicio Aravena, Mackarena, additional, Sanhueza Monsalve, Jocelyn, additional, Herrmann, Denise, additional, Vargas, Solange, additional, Herrera, Victor, additional, Uribe, Claudia, additional, Bravo, Luis Eduardo, additional, Garcia, Luz Stella, additional, Arias-Ortiz, Nelson, additional, Morantes, Daniela, additional, Jurado, Daniel, additional, Yépez Chamorro, María, additional, Delgado, Sandra, additional, Ramirez, Melissa, additional, Galán Alvarez, Yaima, additional, Torres, Priscila, additional, Martínez-Reyes, Fray, additional, Jaramillo, Leyda, additional, Quinto, Rina, additional, Castillo, Jhoanna, additional, Mendoza, Mariela, additional, Cueva, Patricia, additional, Yépez, José, additional, Bhakkan, Bernard, additional, Deloumeaux, Jacqueline, additional, Joachim, Clarisse, additional, Macni, Jonathan, additional, Carrillo, Rodolfo, additional, Shalkow Klincovstein, Jaime, additional, Rivera Gomez, Rebeca, additional, Perez, Patricia, additional, Poquioma, Ebert, additional, Tortolero-Luna, Guillermo, additional, Zavala, Diego, additional, Alonso, Rafael, additional, Barrios, Enrique, additional, Eckstrand, Angela, additional, Nikiforuk, Cindy, additional, Woods, Ryan, additional, Noonan, Gail, additional, Turner, Donna, additional, Kumar, Eshwar, additional, Zhang, Bin, additional, Dowden, Jeff, additional, Doyle, Gregory, additional, Walsh, Gordon, additional, Anam, Aniq, additional, McClure, Carol, additional, Vriends, Kim, additional, Bertrand, Christine, additional, Ramanakumar, Agnihotram, additional, Kozie, Serena, additional, Stuart-Panko, Heather, additional, Freeman, Tara, additional, George, Justin, additional, Avila, Rosa, additional, O'Brien, David, additional, Holt, Abby, additional, Almon, Lyn, additional, Ward, Kevin, additional, Kwong, Sandy, additional, Morris, Cyllene, additional, Rycroft, Randi, additional, Mueller, Lloyd, additional, Phillips, Cathryn, additional, Brown, Heather, additional, Cromartie, Betsy, additional, Ruterbusch, Julie, additional, Schwartz, Ann, additional, Levin, Gary, additional, Wohler, Brad, additional, Bayakly, Rana, additional, Gomez, Scarlett, additional, McKinley, Meg, additional, Cress, Rosemary, additional, Davis, Joni, additional, Hernandez, Brenda, additional, Johnson, Christopher, additional, Morawski, Bozena, additional, Ruppert, Laura, additional, Bentler, Suzanne, additional, Charlton, Mary, additional, Huang, Bin, additional, Tucker, Thomas, additional, Deapen, Dennis, additional, Liu, Lihua, additional, Hsieh, Mei-Chin, additional, Wu, Xiao-Cheng, additional, Schwenn, Molly, additional, Stern, Kimberly, additional, Gershman, Susan, additional, Knowlton, Richard, additional, Alverson, Georgetta, additional, Weaver, Tamara, additional, Desai, Jay, additional, Rogers, Deirdre, additional, Jackson-Thompson, Jeanette, additional, Lemons, Debbi, additional, Zimmerman, Heather, additional, Hood, Michelle, additional, Roberts-Johnson, Jenifer, additional, Hammond, Whitney, additional, Rees, Judith, additional, Pawlish, Karen, additional, Stroup, Antoinette, additional, Key, Charles, additional, Wiggins, Charles, additional, Kahn, Amy, additional, Schymura, Maria, additional, Radhakrishnan, Soundarya, additional, Rao, Chandrika, additional, Giljahn, Lynn, additional, Slocumb, Roberta, additional, Dabbs, Christy, additional, Espinoza, Raffaella, additional, Aird, Karen, additional, Beran, Todd, additional, Rubertone, Jim, additional, Slack, Stephen, additional, Oh, Junhie, additional, Janes, Tiffany, additional, Schwartz, Stephen, additional, Chiodini, Stephanie, additional, Hurley, Deborah, additional, Whiteside, Martin, additional, Rai, Saroj, additional, Williams, Melanie, additional, Herget, Kim, additional, Sweeney, Carol, additional, Johnson, Alison, additional, Keitheri Cheteri, Mahesh, additional, Migliore Santiago, Patti, additional, Blankenship, Steven, additional, Farley, Shawn, additional, Borchers, Robert, additional, Malicki, Robin, additional, Espinoza, Julia, additional, Grandpre, Joseph, additional, Edwards, Brenda, additional, Mariotto, Angela, additional, Weir, Hannah, additional, Wilson, Reda, additional, Wang, Ning, additional, Yang, Lei, additional, Chen, Jian-Shun, additional, He, Yu-Tong, additional, Song, Guo-Hui, additional, Gu, Xiao-Ping, additional, Mei, Dan, additional, Ge, Heng-Ming, additional, Wu, Tong-Hao, additional, Li, Yan-Yan, additional, Zhao, De-Li, additional, Jin, Feng, additional, Zhang, Jian-Hua, additional, Zhu, Feng-Dong, additional, Junhua, Qian, additional, Yang, Yan Lei, additional, Jiang, Chun-Xiao, additional, Biao, Wang, additional, Wang, Jian, additional, Li, Qi-Long, additional, Yi, He, additional, Zhou, Xin, additional, Dong, JianMei, additional, Li, WeiWei, additional, Fu, Fang-Xian, additional, Chen, Jian-Guo, additional, Zhu, Jian, additional, Li, Yan-Hua, additional, Lu, Yu-Qiang, additional, Fan, Min, additional, Huang, Su-Qin, additional, Guo, Guo-Ping, additional, Zhaolai, Hua, additional, Wei, Kuangrong, additional, Chen, Wan-Qing, additional, Wei, Wenqiang, additional, Zeng, Hongmei, additional, Demetriou, Anna, additional, Mang, Wai Kong, additional, Ngan, Kai Cheong, additional, Kataki, Amal, additional, Krishnatreya, Manigreeva, additional, Jayalekshmi, Padmavathi Amma, additional, Sebastian, Paul, additional, George, Preethi, additional, Mathew, Aleyamma, additional, Nandakumar, Ambakumar, additional, Malekzadeh, Reza, additional, Roshandel, Gholamreza, additional, Keinan-Boker, Lital, additional, Silverman, Barbara, additional, Ito, Hidemi, additional, Koyanagi, Yuriko, additional, Sato, Masako, additional, Tobori, Fumio, additional, Nakata, Ichiro, additional, Teramoto, Norihiro, additional, Hattori, Masakazu, additional, Kaizaki, Yasuharu, additional, Moki, Fumitaka, additional, Sugiyama, Hiromi, additional, Utada, Mai, additional, Nishimura, Makiko, additional, Yoshida, Keiichi, additional, Kurosawa, Katsuki, additional, Nemoto, Yuji, additional, Narimatsu, Hiroto, additional, Sakaguchi, Masahiko, additional, Kanemura, Seiki, additional, Naito, Michiko, additional, Narisawa, Rintaro, additional, Miyashiro, Isao, additional, Mori, Daisuke, additional, Yoshitake, Mayuko, additional, Oki, Izumi, additional, Fukushima, Norimasa, additional, Shibata, Akiko, additional, Iwasa, Keiichiro, additional, Ono, Chie, additional, Matsuda, Tomohiro, additional, Nimri, Omar, additional, Jung, Kyu-Won, additional, Won, Young-Joo, additional, Alawadhi, Eiman, additional, Elbasmi, Amani, additional, Ab Manan, Azizah, additional, Adam, Farzaana, additional, Nansalmaa, Erdenekhuu, additional, Tudev, Undarmaa, additional, Ochir, Chimedsuren, additional, Al Khater, Al Hareth, additional, El Mistiri, Mufid, additional, Lim, Gek Hsiang, additional, Teo, Yik Ying, additional, Chiang, Chun-Ju, additional, Lee, Wen-Chung, additional, Buasom, Rangsiya, additional, Sangrajrang, Suleeporn, additional, Suwanrungruang, Krittika, additional, Vatanasapt, Patravoot, additional, Daoprasert, Karnchana, additional, Pongnikorn, Donsuk, additional, Leklob, Atit, additional, Sangkitipaiboon, Somphob, additional, Geater, Sarayut, additional, Sriplung, Hutcha, additional, Ceylan, Okan, additional, Kög, Iskender, additional, Dirican, Oya, additional, Köse, Tülay, additional, Gurbuz, Tulın, additional, Karašahin, Füsun Emine, additional, Turhan, Duygu, additional, Aktaş, Umut, additional, Halat, Yakup, additional, Eser, Sultan, additional, Yakut, Cankut, additional, Altinisik, Merve, additional, Cavusoglu, Yasar, additional, Türkköylü, Ayşe, additional, Üçüncü, Nuršen, additional, Hackl, Monika, additional, Zborovskaya, Anna, additional, Aleinikova, Olga, additional, Henau, Kris, additional, Van Eycken, Liesbet, additional, Atanasov, Trayan, additional, Valerianova, Zdravka, additional, Šekerija, Mario, additional, Dušek, Ladislav, additional, Zvolský, Miroslav, additional, Steinrud Mørch, Lina, additional, Storm, Hans, additional, Wessel Skovlund, Charlotte, additional, Innos, Kaire, additional, Malila, Nea, additional, Jégu, Jérémie, additional, Velten, Michel, additional, Cornet, Edouard, additional, Troussard, Xavier, additional, Bouvier, Anne-Marie, additional, Guizard, Anne-Valérie, additional, Bouvier, Véronique, additional, Launoy, Guy, additional, Dabakuyo Yonli, Sandrine, additional, Poillot, Marie-Laure, additional, Maynadié, Marc, additional, Mounier, Morgane, additional, Vaconnet, Lina, additional, Woronoff, Anne-Sophie, additional, Daoulas, Mélanie, additional, Robaszkiewicz, Michel, additional, Clavel, Jacqueline, additional, Poulalhon, Claire, additional, Desandes, Emmanuel, additional, Lacour, Brigitte, additional, Baldi, Isabelle, additional, Pouchieu, Camille, additional, Amadeo, Brice, additional, Coureau, Gaëlle, additional, Monnereau, Alain, additional, Audoin, Magali, additional, D'Almeida, Tania, additional, Boyer, Séverine, additional, Hammas, Karima, additional, Trétarre, Brigitte, additional, Colonna, Marc, additional, Delafosse, Patricia, additional, Plouvier, Sandrine, additional, Cowppli-Bony, Anne, additional, Molinié, Florence, additional, Bara, Simona, additional, Ganry, Olivier, additional, Lapôtre-Ledoux, Bénédicte, additional, Daubisse-Marliac, Laetitia, additional, Bossard, Nadine, additional, Estève, Jacques, additional, Uhry, Zoé, additional, Stabenow, Roland, additional, Wilsdorf-Köhler, Heide, additional, Eberle, Andrea, additional, Luttmann, Sabine, additional, Löhden, Imma, additional, Nennecke, Alice, additional, Kieschke, Joachim, additional, Sirri, Eunice, additional, Justenhoven, Christina, additional, Zeissig, Sylke, additional, Holleczek, Bernd, additional, Eisemann, Nora, additional, Katalinic, Alexander, additional, Asquez, Rachelle, additional, Kumar, Vijay, additional, Petridou, Eleni, additional, Ólafsdóttir, Elínborg, additional, Tryggvadóttir, Laufey, additional, Murray, Deirdre, additional, Walsh, Paul, additional, Sundseth, Hildrun, additional, Mazzoleni, Guido, additional, Vittadello, Fabio, additional, Coviello, Enzo, additional, Cuccaro, Francesco, additional, Galasso, Rocco, additional, Sampietro, Giuseppe, additional, Magoni, Michele, additional, Ardizzone, Antonino, additional, D'Argenzio, Angelo, additional, Di Prima, Alessia Anna, additional, Ippolito, Antonella, additional, Lavecchia, Anna Maria, additional, Sutera Sardo, Antonella, additional, Gola, Gemma, additional, Ballotari, Paola, additional, Giacomazzi, Erica, additional, Ferretti, Stefano, additional, Dal Maso, Luigino, additional, Serraino, Diego, additional, Celesia, Maria Vittoria, additional, Filiberti, Rosa Angela, additional, Pannozzo, Fabio, additional, Melcarne, Anna, additional, Quarta, Fabrizio, additional, Andreano, Anita, additional, Russo, Antonio Giampiero, additional, Carrozzi, Giuliano, additional, Cirilli, Claudia, additional, Cavalieri d'Oro, Luca, additional, Rognoni, Magda, additional, Fusco, Mario, additional, Vitale, Maria Francesca, additional, Usala, Mario, additional, Cusimano, Rosanna, additional, Mazzucco, Walter, additional, Michiara, Maria, additional, Sgargi, Paolo, additional, Boschetti, Lorenza, additional, Chiaranda, Giorgio, additional, Seghini, Pietro, additional, Maule, Milena, additional, Merletti, Franco, additional, Spata, Eugenia, additional, Tumino, Rosario, additional, Mancuso, Pamela, additional, Vicentini, Massimo, additional, Cassetti, Tiziana, additional, Sassatelli, Romano, additional, Falcini, Fabio, additional, Giorgetti, Stefania, additional, Caiazzo, Anna Luisa, additional, Cavallo, Rossella, additional, Piras, Daniela, additional, Bella, Francesca, additional, Madeddu, Anselmo, additional, Fanetti, Anna Clara, additional, Maspero, Sergio, additional, Carone, Simona, additional, Mincuzzi, Antonia, additional, Candela, Giuseppa, additional, Scuderi, Tiziana, additional, Gentilini, Maria Adalgisa, additional, Rizzello, Roberto, additional, Rosso, Stefano, additional, Zanetti, Roberto, additional, Caldarella, Adele, additional, Intrieri, Teresa, additional, Bianconi, Fortunato, additional, Stracci, Fabrizio, additional, Contiero, Paolo, additional, Tagliabue, Giovanna, additional, Rugge, Massimo, additional, Zorzi, Manuel, additional, Beggiato, Simonetta, additional, Brustolin, Angelita, additional, De Angelis, Roberta, additional, Gatta, Gemma, additional, Maurina, Anita, additional, Oniščuka, Marija, additional, Mousavi, Mohsen, additional, Lipunova, Nadezda, additional, Vincerzevskienė, Ieva, additional, Agius, Dominic, additional, Calleja, Neville, additional, Siesling, Sabine, additional, Visser, Otto, additional, Johannesen, Tom, additional, Trojanowski, Maciej, additional, Mierzwa, Tomasz, additional, Rachtan, Jadwiga, additional, Kępska, Kamila, additional, Kościańska, Beata, additional, Wójcik-Tomaszewska, Joanna, additional, Motnyk, Marcin, additional, Gos, Anna, additional, Bielska-Lasota, Magdalena, additional, Didkowska, Joanna, additional, Wojciechowska, Urszula, additional, Forjaz de Lacerda, Gonçalo, additional, Rego, Raul, additional, Carrito, Branca, additional, Pais, Ana, additional, Bento, Maria José, additional, Rodrigues, Jessica, additional, Lourenço, Antonio, additional, Mayer-da-Silva, Alexandra, additional, Blaga, Luminita, additional, Coza, Daniela, additional, Gusenkova, Lubov, additional, Lazarevich, Olga, additional, Prudnikova, Olga, additional, Vjushkov, Dmitri Mikhailovich, additional, Egorova, Alla, additional, Orlov, Andrey, additional, Pikalova, Lidiya, additional, Zhuikova, Lilia, additional, Adamcik, Juraj, additional, Safaei Diba, Chakameh, additional, Zadnik, Vesna, additional, Zagar, Tina, additional, De-La-Cruz, Marta, additional, Lopez-de-Munain, Arantza, additional, Aleman, Araceli, additional, Rojas, Dolores, additional, Chillarón, Rosario Jiménez, additional, Navarro, Ana Isabel Marcos, additional, Puigdemont, Montse, additional, Sánchez Perez, María-José, additional, Franch Sureda, Paula, additional, Ramos Montserrat, Maria, additional, Chirlaque López, Maria Dolores, additional, Sánchez Gil, Antonia, additional, Ardanaz, Eva, additional, Guevara, Marcela, additional, Cañete-Nieto, Adela, additional, Peris-Bonet, Rafael, additional, Carulla, Marià, additional, Galceran, Jaume, additional, Almela, Fernando, additional, Sabater, Consol, additional, Khan, Staffan, additional, Pettersson, David, additional, Dickman, Paul, additional, Staehelin, Katharina, additional, Struchen, Benjamin, additional, Herrmann, Christian, additional, Mousavi, Seyed Mohsen, additional, Egger Hayoz, Céline, additional, Bouchardy, Christine, additional, Schaffar, Robin, additional, Went, Philip, additional, Maspoli-Conconi, Manuela, additional, Kuehni, Claudia, additional, Bordoni, Andrea, additional, Ortelli, Laura, additional, Chiolero, Arnaud, additional, Konzelmann, Isabelle, additional, Rohrmann, Sabine, additional, Wanner, Miriam, additional, Broggio, John, additional, Rashbass, Jem, additional, Fitzpatrick, Deirdre, additional, Gavin, Anna, additional, Morrison, David, additional, Thomson, Catherine, additional, Greene, Giles, additional, Huws, Dyfed, additional, Coleman, Michel, additional, Matz, Melissa, additional, Sanz, Natalia, additional, Ssenyonga, Naomi, additional, Stephens, Richard, additional, Chalker, Elizabeth, additional, Smith, Mirka, additional, Gugusheff, Jessica, additional, You, Hui, additional, Qin Li, Shu, additional, Dugdale, Sarah, additional, Moore, Julie, additional, Philpot, Shoni, additional, Pfeiffer, Rhonda, additional, Thomas, Helen, additional, Silva Ragaini, Bruna, additional, Venn, Alison, additional, Evans, Sue, additional, Te Marvelde, Luc, additional, Savietto, Vedrana, additional, Trevithick, Richard, additional, Currow, David, additional, and Lewis, Chris, additional

Published
2022
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21. Does the morphology of cutaneous melanoma help explain the international differences in survival? Results from 1,578,482 adults diagnosed during 2000‐2014 in 59 countries (CONCORD ‐3)

Author

Di Carlo, Veronica, Stiller, Charles A., Eisemann, Nora, Bordoni, Andrea, Matz, Melissa, Curado, Maria P., Daubisse‐Marliac, Laetitia, Valkov, Mikhail, Bulliard, Jean‐Luc, Morrison, David, Johnson, Chris, Girardi, Fabio, Marcos‐Gragera, Rafael, Šekerija, Mario, Larønningen, Siri, Sirri, Eunice, Coleman, Michel P., Allemani, Claudia, and CONCORD Working Group, .

Abstract

Background:\ud CONCORD-3 highlighted wide disparities in population-based 5-year net survival during 2000-2014. Clinical evidence suggests marked international differences in the proportion of lethal acral and nodular subtypes.\ud \ud Objectives:\ud We aim to assess whether the differences in morphology may explain global variation in survival.\ud \ud Methods:\ud We grouped melanoma into seven morphology categories: malignant melanoma, not otherwise specified (ICD-O-3 morphology code 8720), superficial spreading melanoma (8743), lentigo maligna melanoma (8742), nodular melanoma (8721), acral lentiginous melanoma (8744), desmoplastic melanoma (8745) and other morphologies (8722-8723, 8726-8727, 8730, 8740-8741, 8746, 8761, 8770-8774, 8780).\ud \ud We estimated net survival with the non-parametric Pohar-Perme estimator, correcting for background mortality by single year of age, sex and calendar year in each country or region. All-ages survival estimates were standardised with the International Cancer Survival Standard weights. We fitted a flexible parametric model to estimate the effect of morphology on the hazard of death.\ud \ud Results:\ud Worldwide, the proportion of nodular melanoma ranged between 7%-13%. Acral lentiginous melanoma accounted for less than 2% of all registrations but was more common in Asia (6%) and Central and South America (7%). 36% of tumours were classified as superficial spreading melanoma.\ud \ud During 2010-2014, age-standardised 5-year net survival for superficial spreading melanoma was 95% or higher in Oceania, North America and most European countries, but only 71% in Taiwan. Survival for acral lentiginous melanoma ranged between 66%-95%. Nodular melanoma had the poorest prognosis everywhere.\ud \ud The multivariable analysis of data from registries with complete information on stage and morphology found that sex, age and stage at diagnosis only partially explain the higher risk of death for nodular and acral lentiginous subtypes.\ud \ud Conclusions:\ud This study provides the broadest picture of distribution and population-based survival trends for the main morphological sub-types of cutaneous melanoma in 59 countries. The poorer prognosis for nodular and acral lentiginous melanomas, more frequent in Asia and Latin America, suggests the need for health policies aimed at specific populations to improve awareness, early diagnosis and access to treatment.

Published
2022

22. Does the morphology of cutaneous melanoma help to explain the international differences in survival? Results from 1 578 482 adults diagnosed during 2000–2014 in 59 countries (CONCORD-3)

Author

Di Carlo, Veronica, Stiller, Charles A., Eisemann, Nora, Bordoni, Andrea, Matz, Melissa, Curado, Maria P., Daubisse-Marliac, Laetitia, Valkov, Mikhail, Bulliard, Jean-Luc, Morrison, David, Johnson, Christopher J., Girardi, Fabio, Marcos-Gragera, Rafael, Šekerija, Mario, Larønningen, Siri, Sirri, Eunice, Coleman, Michel P., Allemani, Claudia, and CONCORD Working Group

Subjects
Adult, Hutchinson's Melanotic Freckle, Skin Neoplasms, melanoma, cancer registry, CONCORD, Survival, Taiwan, Humans, Pell -- Càncer -- Estadístiques, Skin -- Cancer -- Statistics, Dermatology, Supervivència, Melanoma
Abstract

Background CONCORD-3 highlighted wide disparities in population-based 5-year net survival for cutaneous melanoma during 2000–2014. Clinical evidence suggests marked international differences in the proportion of lethal acral and nodular subtypes of cutaneous melanoma. Objectives We aimed to assess whether the differences in morphology may explain global variation in survival. Methods Patients with melanoma were grouped into the following seven morphological categories: malignant melanoma, not otherwise specified (International Classification of Diseases for Oncology, third revision morphology code 8720), superficial spreading melanoma (8743), lentigo maligna melanoma (8742), nodular melanoma (8721), acral lentiginous melanoma (8744), desmoplastic melanoma (8745) and other morphologies (8722–8723, 8726–8727, 8730, 8740–8741, 8746, 8761, 8770–8774, 8780). We estimated net survival using the nonparametric Pohar Perme estimator, correcting for background mortality by single year of age, sex and calendar year in each country or region. All-ages survival estimates were standardized using the International Cancer Survival Standard weights. We fitted a flexible parametric model to estimate the effect of morphology on the hazard of death. Results Worldwide, the proportion of nodular melanoma ranged between 7% and 13%. Acral lentiginous melanoma accounted for less than 2% of all registrations but was more common in Asia (6%) and Central and South America (7%). Overall, 36% of tumours were classified as superficial spreading melanoma. During 2010–2014, age-standardized 5-year net survival for superficial spreading melanoma was 95% or higher in Oceania, North America and most European countries, but was only 71% in Taiwan. Survival for acral lentiginous melanoma ranged between 66% and 95%. Nodular melanoma had the poorest prognosis in all countries. The multivariable analysis of data from registries with complete information on stage and morphology found that sex, age and stage at diagnosis only partially explain the higher risk of death for nodular and acral lentiginous subtypes. Conclusions This study provides the broadest picture of distribution and population-based survival trends for the main morphological subtypes of cutaneous melanoma in 59 countries. The poorer prognosis for nodular and acral lentiginous melanomas, more frequent in Asia and Latin America, suggests the need for health policies aimed at specific populations to improve awareness, early diagnosis and access to treatment. What is already known about this topic? The histopathological features of cutaneous melanoma vary markedly worldwide. The proportion of melanomas with the more aggressive acral lentiginous or nodular histological subtypes is higher in populations with predominantly dark skin than in populations with predominantly fair skin. What does this study add? We aimed to assess the extent to which these differences in morphology may explain international variation in survival when all histological subtypes are combined. This study provides, for the first time, international comparisons of population-based survival at 5 years for the main histological subtypes of melanoma for over 1.5 million adults diagnosed during 2000–2014. This study highlights the less favourable distribution of histological subtypes in Asia and Central and South America, and the poorer prognosis for nodular and acral lentiginous melanomas. We found that later stage at diagnosis does not fully explain the higher excess risk of death for nodular and acral lentiginous melanoma compared with superficial spreading melanoma.

Published
2022

24. Treatment time interval in breast cancer: A population‐based study on the impact of type and number of cancer centres attended.

Author

Martinez, Amalia, Daubisse‐Marliac, Laetitia, Lacaze, Jean‐Louis, Pons‐Tostivint, Elvire, Bauvin, Eric, Delpierre, Cyrille, Grosclaude, Pascale, and Lamy, Sébastien

Subjects
*BREAST tumor treatment, *BREAST cancer prognosis, *STATISTICS, *BIOPSY, *SCIENTIFIC observation, *CONFIDENCE intervals, *ACADEMIC medical centers, *MULTIVARIATE analysis, *TREATMENT duration, *POPULATION geography, *RESEARCH funding, *DATA analysis software, *THERAPEUTIC complications
Abstract

Objectives: We studied both the independent and combined effects of the places of biopsy and treatment on the treatment time interval based on a population‐based study. Methods: We analysed the proportion of patients having a treatment time interval higher than the EUSOMA recommendation of 6 weeks, as a function of the number and the type of care centres the patients attended, from a French population‐based regional cohort of women treated in 2015 for an incident invasive non‐metastatic cancer (n = 505). Results: About 33% [95% CI: 27; 38] of patients had a treatment time interval higher than 6 weeks. About 48% of the patients underwent their biopsy and their initial treatment in the different centres. Results from multivariable analyses supported the impact of the type and number of centres attended on the proportion of time intervals over 6 weeks. This proportion was higher among patients with biopsy and treatment in different centres and among patients treated in a university hospital. Conclusion: We pointed out the independent impact of the type and the number of care centres the patients attended, from biopsy to first treatment, on the treatment time interval, which is a well‐known prognosis factor. [ABSTRACT FROM AUTHOR]

Published
2022
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25. Cancer Among Adolescents and Young Adults Between 2000 and 2016 in France: Incidence and Improved Survival

Author

Raze, Thomas, primary, Lacour, Brigitte, additional, Cowppli-Bony, Anne, additional, Delafosse, Patricia, additional, Velten, Michel, additional, Trétarre, Brigitte, additional, Defossez, Gautier, additional, Hammas, Karima, additional, Woronoff, Anne-Sophie, additional, Ganry, Olivier, additional, Plouvier, Sandrine, additional, Coureau, Gaelle, additional, Guizard, Anne-Valérie, additional, Bara, Simona, additional, Monnereau, Alain, additional, Daubisse-Marliac, Laetitia, additional, Troussard, Xavier, additional, D'Almeida, Tania, additional, Baldi, Isabelle, additional, Bouvier, Véronique, additional, Boissel, Nicolas, additional, Clavel, Jacqueline, additional, and Desandes, Emmanuel, additional

Published
2021
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26. Does the Morphology of Cutaneous Melanoma Help Explain the International Differences in Survival? Results from 1,583,484 Adults Diagnosed During 2000-2014 in 59 Countries (CONCORD-3)

Author

Di Carlo, Veronica, primary, Stiller, Charles A., additional, Eisemann, Nora, additional, Bordoni, Andrea, additional, Matz, Melissa, additional, Curado, Maria P., additional, Daubisse-Marliac, Laetitia, additional, Valkov, Mikhail, additional, Bulliard, Jean-Luc, additional, Morrison, David S., additional, Johnson, Christopher, additional, Girardi, Fabio, additional, Marcos-Gragera, Rafael, additional, Šekerija, Mario, additional, Larønningen, Siri, additional, Sirri, Eunice, additional, Coleman, Michel P., additional, Allemani, Claudia, additional, and Working Group, CONCORD, additional

Published
2021
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27. Evaluation of long‐term living conditions in patients treated for localised prostate cancer

Author

Xiao, Dingyu, primary, Guizard, Anne‐Valérie, additional, Daubisse‐Marliac, Laetitia, additional, Woronoff, Anne‐Sophie, additional, Trétarre, Brigitte, additional, Delafosse, Patricia, additional, Molinié, Florence, additional, Cowppli‐Bony, Anne, additional, Lapôtre‐Ledoux, Bénédicte, additional, Bara, Simona, additional, Marrer, Emilie, additional, Velten, Michel, additional, Laroche, Lucie, additional, Heutte, Natacha, additional, Grosclaude, Pascale, additional, and Joly, Florence, additional

Published
2020
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28. Compliance with clinical guidelines for breast cancer management: A population-based study of quality-of-care indicators in France

Author

Cowppli-Bony, Anne, Trétarre, Brigitte, Marrer, Emilie, Defossez, Gautier, Daubisse-Marliac, Laetitia, Coureau, Gaelle, Minicozzi, Pamela, Woronoff, Anne-Sophie, Delafosse, Patricia, Molinié, Florence, and FRANCIM network

Subjects
medicine.medical_treatment, Cancer Treatment, Geographical locations, 0302 clinical medicine, Breast Tumors, Breast-conserving surgery, Medicine and Health Sciences, 030212 general & internal medicine, education.field_of_study, Multidisciplinary, Middle Aged, Europe, Surgical Oncology, Oncology, 030220 oncology & carcinogenesis, Practice Guidelines as Topic, Medicine, Female, France, Guideline Adherence, Mastectomy, Research Article, Clinical Oncology, Adult, medicine.medical_specialty, Science, Sentinel lymph node, Population, MEDLINE, Radiation Therapy, Surgical and Invasive Medical Procedures, Breast Neoplasms, 03 medical and health sciences, Breast cancer, Diagnostic Medicine, Breast Cancer, medicine, Cancer Detection and Diagnosis, Humans, Neoplasm Invasiveness, European Union, education, Aged, Neoplasm Staging, Quality of Health Care, Treatment Guidelines, Health Care Policy, business.industry, Sentinel Lymph Node Biopsy, Cancer, Cancers and Neoplasms, medicine.disease, Radiation therapy, Health Care, Family medicine, Clinical Medicine, People and places, business
Abstract

BACKGROUND: The European Society of Breast Cancer Specialists (EUSOMA), which aims to standardize the quality of patient care in Europe, has defined quality indicators (QIs) for breast cancer (BC) care to assess compliance to current care standards. These QIs are a useful tool to evaluate care organizations. Only population-based studies are able to assess health system performance in "real-life" situations. This population-based study aimed to describe compliance with several EUSOMA QIs overall and according to patient and organizational factors in France. METHODS: 1 560 adult women with primary invasive non-metastatic BC diagnosed in 2012 were randomly selected among all incident BC from 16 French geographical areas covered by cancer registries. Twelve EUSOMA QIs were selected regarding diagnosis, treatment and staging. RESULTS: The minimum standard as proposed by EUSOMA was met for nine QIs related to pre-operative definitive diagnosis, multidisciplinary discussion and treatment (single surgery, breast conserving surgery (BCS) for small BC (

Published
2019

30. Using ecological socioeconomic position (SEP) measures to deal with sample bias introduced by incomplete individual-level measures: inequalities in breast cancer stage at diagnosis as an example

Author

Lamy, Sébastien, Molinié, Florence, Daubisse-Marliac, Laetitia, Cowppli-Bony, Anne, Ayrault-Piault, Stéphanie, Fournier, Evelyne, Woronoff, Anne-Sophie, Delpierre, Cyrille, Grosclaude, Pascale, Bodescot, Myriam, Embodiment, social ineQualities, lifecoUrse epidemiology, cancer and chronIc diseases, intervenTions, methodologY (Equipe 5 - EQUITY), Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), French network of cancer registries [Toulouse] (Francim), Registre des cancers de Loire‐Atlantique et Vendée, Imaging and Longitudinal Investigations to Ameliorate Decision-making [Nantes] (ILIAD), Site de Recherche Intégrée sur le Cancer [Nantes] (SIRIC), Centre hospitalier universitaire de Nantes (CHU Nantes)-Centre hospitalier universitaire de Nantes (CHU Nantes), Tarn Cancer Registry [Toulouse], Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM), Doubs and Belfort territory Cancer Registry [Besançon], Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), 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), Grant sponsors: 'Programme Hospitalier de Recherche Clinique' for the data collection and data management, French National Cancer Institute (INCa) and the French 'Ligue nationale contre le cancer' for the data analyses., Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM), 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
Adult, congenital, hereditary, and neonatal diseases and abnormalities, Deprivation, Breast Neoplasms, [SDV.CAN]Life Sciences [q-bio]/Cancer, behavioral disciplines and activities, [SDV.CAN] Life Sciences [q-bio]/Cancer, Humans, Registries, Selection Bias, Aged, Neoplasm Staging, Cancer, lcsh:Public aspects of medicine, musculoskeletal, neural, and ocular physiology, Methodology, lcsh:RA1-1270, Health Status Disparities, Middle Aged, body regions, Population-based data, Social Class, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, population characteristics, Female, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Research Article, Social inequalities
Abstract

Background When studying the influence of socioeconomic position (SEP) on health from data where individual-level SEP measures may be missing, ecological measures of SEP may prove helpful. In this paper, we illustrate the best use of ecological-level measures of SEP to deal with incomplete individual level data. To do this we have taken the example of a study examining the relationship between SEP and breast cancer (BC) stage at diagnosis. Methods Using population based-registry data, all women over 18 years newly diagnosed with a primary BC in 2007 were included. We compared the association between advanced stage at diagnosis and individual SEP containing missing data with an ecological level SEP measure without missing data. We used three modelling strategies, 1/ based on patients with complete data for individual-SEP (n = 1218), or 2/ on all patients (n = 1644) using an ecological-level SEP as proxy for individual SEP and 3/ individual-SEP after imputation of missing data using an ecological-level SEP. Results The results obtained from these models demonstrate that selection bias was introduced in the sample where only patients with complete individual SEP were included. This bias is redressed by using ecological-level SEP to impute missing data for individual SEP on all patients. Such a strategy helps to avoid an ecological bias due to the use of aggregated data to infer to individual level. Conclusion When individual data are incomplete, we demonstrate the usefulness of an ecological index to assess and redress potential selection bias by using it to impute missing individual SEP. Electronic supplementary material The online version of this article (10.1186/s12889-019-7220-4) contains supplementary material, which is available to authorized users.

Published
2019
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31. Additional file 1: of Using ecological socioeconomic position (SEP) measures to deal with sample bias introduced by incomplete individual-level measures: inequalities in breast cancer stage at diagnosis as an example

Author

Lamy, Sébastien, Molinié, Florence, Daubisse-Marliac, Laetitia, Cowppli-Bony, Anne, Ayrault-Piault, Stéphanie, Fournier, Evelyne, Anne-Sophie Woronoff, Delpierre, Cyrille, and Grosclaude, Pascale

Abstract

List of the papers found using EDI. (DOCX 35 kb)

Published
2019
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32. [Descriptive epidemiology of cancer in metropolitan France: Incidence, survival and prevalence]

Author

Ligier, Karine, Jooste, Valérie, Amadeo, Brice, Arveux, Patrick, Baldi, Isabelle, Bara, Simona, Bouvier, Anne-Marie, Bouvier, Véronique, Clavel, Jacqueline, Colonna, Marc, Coureau, Gaëlle, Cowppli-Bony, Anne, Dalmeida, Tania, Daubisse-Marliac, Laetitia, Defossez, Gautier, Delafosse, Patricia, Deloumeaux, Jacqueline, Grosclaude, Pascale, Guizard, Anne-Valérie, Joachim, Clarisse, Lacour, Brigitte, Lapôtre-Ledoux, Bénédicte, Marrer, Emilie, Maynadié, Marc, Molinié, Florence, Monnereau, Alain, Nousbaum, Jean-Baptiste, Plenet, Juliette, Plouvier, Sandrine, Pouchieu, Camille, Robaszkiewicz, Michel, Trétarre, Brigitte, Troussard, Xavier, Velten, Michel, Woronoff, Anne-Sophie, Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, FRANCIM, Réseau des registres français du cancer, CHU Grenoble, Lipides - Nutrition - Cancer [Dijon - U1231] (LNC), Université de Bourgogne (UB)-Institut National de la Santé et de la Recherche Médicale (INSERM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Centre hospitalier universitaire de Nantes (CHU Nantes), Centre hospitalier universitaire de Poitiers (CHU Poitiers), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Génomique et Médecine Personnalisée du Cancer et des Maladies Neuropsychiatriques (GPMCND), Université de Rouen Normandie (UNIROUEN), and Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
Adult, Male, Registry, Survival, Adolescent, Epidemiology, Young Adult, Age Distribution, Neoplasms, Prevalence, Humans, Sex Distribution, Cancer, Aged, Aged, 80 and over, Incidence, Middle Aged, Prévalence, Épidémiologie, Survival Rate, Survie, Organ Specificity, Neoplasm, Female, France, Registre de population, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

Incidence, mortality, survival and prevalence are key indicators to assess public health policies and estimate the needs of the population for cancer management. The aim of this article is to provide the more current estimates of these indicators, in line with the fifteenth operational objective of the 2014-2019 Cancer Plan "Collect data/Support Public Health".Incidence and survival data came from cancer registries. Mortality data came from the French epidemiology center on medical causes of death. Prevalence was estimated by using incidence and survival estimates.In metropolitan France in 2017, the estimated number of new cancer cases and cancer deaths was respectively 399,500 and 150,000. The most frequent cancers (breast, prostate) had highest net survivals: 78 and 84% at 10 years. Several cancers (including lung, liver and pancreatic cancers) had worse prognosis (5-year survival≤33%). In 2017, 1,396,000 men and 1,359,000 women had cancer in the previous 15 years, representing respectively 5.4% and 4.8% of the population aged 15 and over.Despite the decrease of cancer mortality, the prognosis of some cancers remains poor and the cancer prevalence is high. These results highlight the need for intensifying the efforts already made in cancer prevention, diagnosis, and treatment and justify the interest in the post-cancer period.

Published
2018
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33. Épidémiologie descriptive des cancers en France métropolitaine : incidence, survie et prévalence

Author

Cowppli-Bony, Anne, primary, Colonna, Marc, additional, Ligier, Karine, additional, Jooste, Valérie, additional, Defossez, Gautier, additional, Monnereau, Alain, additional, Amadeo, Brice, additional, Arveux, Patrick, additional, Baldi, Isabelle, additional, Bara, Simona, additional, Bouvier, Anne-Marie, additional, Bouvier, Véronique, additional, Clavel, Jacqueline, additional, Coureau, Gaëlle, additional, Cowppli-Bony, Anne, additional, Dalmeida, Tania, additional, Daubisse-Marliac, Laetitia, additional, Delafosse, Patricia, additional, Deloumeaux, Jacqueline, additional, Grosclaude, Pascale, additional, Guizard, Anne-Valérie, additional, Joachim, Clarisse, additional, Lacour, Brigitte, additional, Lapôtre-Ledoux, Bénédicte, additional, Marrer, Emilie, additional, Maynadié, Marc, additional, Molinié, Florence, additional, Nousbaum, Jean-Baptiste, additional, Plenet, Juliette, additional, Plouvier, Sandrine, additional, Pouchieu, Camille, additional, Robaszkiewicz, Michel, additional, Schvartz, Claire, additional, Trétarre, Brigitte, additional, Troussard, Xavier, additional, Velten, Michel, additional, and Woronoff, Anne-Sophie, additional

Published
2019
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35. Adapter le parcours de soins

Author

Daubisse-Marliac, Laetitia, primary, Balardy, Laurent, additional, Le Goualher, Lucile, additional, Bourgade, Gilles, additional, Perrier, Céline, additional, and Guimbaud, Rosine, additional

Published
2019
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36. Evaluation of long‐term living conditions in patients treated for localised prostate cancer.

Author

Xiao, Dingyu, Guizard, Anne‐Valérie, Daubisse‐Marliac, Laetitia, Woronoff, Anne‐Sophie, Trétarre, Brigitte, Delafosse, Patricia, Molinié, Florence, Cowppli‐Bony, Anne, Lapôtre‐Ledoux, Bénédicte, Bara, Simona, Marrer, Emilie, Velten, Michel, Laroche, Lucie, Heutte, Natacha, Grosclaude, Pascale, and Joly, Florence

Subjects
PROSTATE tumors treatment, ANXIETY, CANCER patient psychology, COMPARATIVE studies, MENTAL depression, MEDICAL care use, QUALITY of life, QUESTIONNAIRES, RESEARCH funding, STATISTICAL sampling, LIFESTYLES, CASE-control method, DESCRIPTIVE statistics
Abstract

Purpose: To evaluate the evolution of living conditions (LC) in long‐term survivors of localised prostate cancer 10 years after treatment compared with those of a same‐age control group from the general population. Methods: Two hundred and eighty‐seven patients diagnosed with prostate cancer in 2001 were selected in 11 French cancer registries. They were matched with controls randomly selected for age and residency. Both patients and controls completed a self‐administered LC questionnaire concerning their familial, social and professional life, and general and specific quality of life (QoL) and anxiety and depression questionnaires. Results: Compared with controls, patients reported more sexual modifications (p <.0001), but without any difference in marital status. Patients' circle of friends was more stable than that of the controls (91% vs. 63%; p <.0001) and patients reported fewer friendship modifications than controls (p <.0006). Their professional and physical activities were also preserved. They reported more anxiolytic intake (p =.002) but did not consult their general practitioner more often. Type of specialist consulted differed in the two groups. Conclusion: Patients treated for localised prostate cancer had the same living conditions as men of the same age. Their social life was satisfying on the whole, albeit they reported more sexual difficulties than their counterparts. [ABSTRACT FROM AUTHOR]

Published
2021
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37. Adolescent and young adult oncology patients in France: Heterogeneity in pathways of care

Author

Desandes, Emmanuel, primary, Brugières, Laurence, additional, Molinié, Florence, additional, Defossez, Gautier, additional, Delafosse, Patricia, additional, Jehannin‐Ligier, Karine, additional, Velten, Michel, additional, Trétarre, Brigitte, additional, Amadéo, Brice, additional, Marrer, Emilie, additional, Woronoff, Anne‐Sophie, additional, Ganry, Olivier, additional, Monnereau, Alain, additional, d'Almeida, Tania, additional, Troussard, Xavier, additional, Daubisse‐Marliac, Laetitia, additional, Bara, Simona, additional, Guizard, Anne‐Valérie, additional, Baldi, Isabelle, additional, Launoy, Guy, additional, Clavel, Jacqueline, additional, and Lacour, Brigitte, additional

Published
2018
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38. Are disparities of waiting times for breast cancer care related to socio-economic factors? A regional population-based study (France)

Author

Ayrault-Piault, Stéphanie, Grosclaude, Pascale, Daubisse-Marliac, Laetitia, Pascal, Jean, Leux, Christophe, Fournier, Evelyne, Tagri, Anne-Delphine, Métais, Magali, Lombrail, Pierre, Woronoff, Anne-Sophie, Molinie, Florence, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

Subjects
[SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2016
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39. Trends in incidence of small bowel cancer according to histology: a population-based study.

Author

Bouvier, Anne-Marie, Robaszkiewicz, Michel, Jooste, Valérie, Cariou, Mélanie, Drouillard, Antoine, Bouvier, Véronique, Nousbaum, Jean-Baptiste, The French Network of Cancer Registries (FRANCIM), Amadeo, Brice, Arveux, Patrick, Baldi, Isabelle, Bara, Simona, Clavel, Jacqueline, Colonna, Marc, Coureau, Gaëlle, Cowppli-Bony, Anne, Dabakuyo, Sandrine, Dalmeida, Tania, Daubisse-Marliac, Laetitia, and Defossez, Gautier

Subjects
NEUROENDOCRINE tumors, HISTOLOGY, CANCER, SARCOMA, AGE groups, EPIDEMIOLOGY of cancer, ADENOCARCINOMA, DUODENAL tumors, JEJUNUM tumors, ILEUM diseases, DISEASE incidence, ACQUISITION of data, SEX distribution, LYMPHOMAS
Abstract

Background: Small bowel cancer is not a single entity. Population-based studies taking into account histological diversity are scarce. The aim of this study was to report on their trends in incidence by histology in France over the past 20 years.Methods: All patients with a small bowel cancer diagnosed in 15 French administrative areas covered by a registry from the network of French cancer registries (FRANCIM) were included. Age-standardized incidence rates were estimated using the world standard population. Incidence rates were calculated by gender, age group, histology, and 5-year period.Results: The overall age-standardized incidence rates were 1.46/100,000 inhabitants in men and 0.9/100,000 inhabitants in women. Adenocarcinoma was the most common histological type (38%), followed by neuroendocrine tumors (35%), lymphoma (15%) and sarcoma (12%). Age at diagnosis and tumor location differed between adenocarcinoma and neuroendocrine tumors. The incidence of all four tumor types increased significantly over the 20-year period, with the exception of lymphoma in men. The annual percentage change for neuroendocrine tumors was 3.89% in men and 3.61% in women; for sarcoma, it was 3.38% and 4.08%, respectively. The incidence of adenocarcinoma and lymphoma also increased in women with an annual percentage change of 3.05% and 3.32%, respectively.Conclusion: Small bowel cancer incidence has increased over time. This increase occurred with different amplitudes and patterns in the four major histological types. The improvement in imaging techniques could partly explain this increase. It is necessary to determine whether predisposing conditions may contribute to this change. [ABSTRACT FROM AUTHOR]

Published
2020
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40. Long-term quality of life among localised prostate cancer survivors: QALIPRO population-based study

Author

Kerleau, Clarisse, primary, Guizard, Anne-Valérie, additional, Daubisse-Marliac, Laetitia, additional, Heutte, Natacha, additional, Mercier, Mariette, additional, Grosclaude, Pascale, additional, Joly, Florence, additional, Woronoff, Anne-Sophie, additional, Trétarre, Brigitte, additional, Delafosse, Patricia, additional, Molinié, Florence, additional, Bara, Simona, additional, Velten, Michel, additional, Marrer, Emilie, additional, Lapôtre-Ledoux, Bénédicte, additional, and Cowppli-Bony, Anne, additional

Published
2016
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41. Risk assessment of second primary cancer according to histological subtype of non-Hodgkin lymphoma

Author

Rossi, Cédric, primary, Jégu, Jérémie, additional, Mounier, Morgane, additional, Dandoit, Mylène, additional, Colonna, Marc, additional, Daubisse-Marliac, Laetitia, additional, Trétarre, Brigitte, additional, Ganry, Olivier, additional, Guizard, Anne-Valérie, additional, Bara, Simona, additional, Bouvier, Véronique, additional, Woronoff, Anne-Sophie, additional, Monnereau, Alain, additional, Casasnovas, Olivier, additional, Velten, Michel, additional, Troussard, Xavier, additional, and Maynadié, Marc, additional

Published
2015
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42. 206 An example of collaboration between a regional network and a cancer registry

Author

Grosclaude Pascale, Goddard Jerome, Daubisse-Marliac Laetitia, Bauvin Eric, Delpierre Cyrille, Boitard Jean-Briach, and Gaudin Clément

Subjects
Gynecology, medicine.medical_specialty, education.field_of_study, biology, business.industry, Health Policy, Population, French, Context (language use), biology.organism_classification, language.human_language, Cancer registry, Access to information, Regional cancer, language, Medicine, Registry data, business, education, Passer
Abstract

Context One of the objectives of the ‘Plan-cancer 2003–2007’ was to offer to every patient with cancer a multidisciplinary care management of the disease. This multidisciplinary approach makes in particular reference to the implementation of Multidisciplinary Consulting Meetings (MCM) during which every new case must be in theory discussed. To estimate MCM exhaustiveness we should be able to identify all the new diagnosed cases of cancer. In France such a work is only possible in areas where cancer registries exist. Objective To estimate MCM exhaustiveness for patients with prostate cancer diagnosed in 2007 and who lived in Tarn9s department at diagnosis. To study factors influencing the probability for a patient to have his file discussed during MCM. Program All the prostatic cancers diagnosed in the population of Tarn in 2007 were identified by cancers registries. The constituted list was compared with all the cases discussed during MCM in Midi-Pyrenees. By considering various situations (a case had to be discussed during MCM within three months following diagnosis, a case had to be discussed during MCM before treatment), we calculated the exhaustiveness as the ratio between the number of discussed cases from Tarn (data from regional cancer network) and the number of cancers in Tarn (data from cancer registry). Various information collected by registry of Tarn (age, initial extension of the tumour, the score of Gleason, rate of initial PSA, realised treatment) were used to identify factors associated with the probability for a patient to be discussed during MCM. Univariate (χ2) and multivariate analysis (logistic regression) were performed. Results Four hundred fifty nine cases of prostatic cancers were identified. Among them, 59% of the cases were discussed during MCM within 3 months following diagnosis and 58% were discussed above all treatment. The frequency of the discussion during MCM decreased with age, particularly after 80 years. Regarding gravity factors, only the fact to have a limited tumour was associated with a lower probability for patients to be discussed, whatever age. On the other hand this probability was strongly associated with the fact to be treated by prostatectomy. The prostatectomy was associated with a lower frequency of discussion during RCP and with a delayed discussion after treatment. These results were presented to the members of the regional cancer network (in particular urologists). It is too early to see an impact on the practice but a new comparison between registry data and data from the regional cancer network will be done for the cases diagnosed in 2009. Discussion There are in France cancer registries in 17 departments corresponding to 10 regions. The implementation of collaboration between these registries and the regional cancer network would allow having easily a good measure of the exhaustiveness of patients who have access to MCM on a large part of the French territory. In areas without registry, some methods based on the identification of cases using ‘PMSI’ could be developed. It would be interesting to test this method by comparing its results with those observed in areas with registry. Conclusion This type of study is easy to perform if regional cancer networks and the cancer registries work together. The interest of this collaboration exceeds widely the frame of the current study because it allows the network to take advantage of the experience of cancer registries about evaluation of medical practices in population. But this collaboration is also interesting for cancer registries by facilitating the access to information usually scattered. Contexte Un des objectifs du Plan cancer 2003–2007 etait d9offrir a chaque patient atteint de cancer une prise en charge pluridisciplinaire de sa maladie. Cette pluridisciplinarite fait notamment reference a la mise en place des Reunions de Concertation Pluridisciplinaire (RCP) au cours desquelles le dossier de tous les nouveaux patients doit etre presente et eventuellement discute. Evaluer l9exhaustivite du passage en RCP suppose d9etre capable d9identifier tous les nouveaux cas de cancer diagnostiques. En France un tel recensement n9est realise que dans les zones ou existe un registre de cancer. Objectif Evaluer l9exhaustivite de la presentation en RCP des cas de cancer de la prostate diagnostiques chez des residents du Tarn et etudier les facteurs modulant cette presentation. Programme (description, mise en œuvre, elements de suivi) Tous les cas de cancers prostatiques diagnostiques dans la population du Tarn en 2007 ont ete recenses par le registre des cancers. La liste ainsi constituee a ete confrontee a l9ensemble des cas passes en RCP dans la region Midi-Pyrenees. En considerant differentes situations (un cas devait passer en RCP dans les 3 mois apres son diagnostic, un cas devait passer en RCP avant tout traitement), nous avons calcule l9exhaustivite du taux de passage en RCP. Differentes informations collectees par le registre et permettant de connaitre les caracteristiques des cas (âge, extension initiale de la tumeur, score de Gleason, taux de PSA initial, traitement realise) ont permis d9etudier les facteurs associes a la presentation (ou non presentation) en RCP. Une analyse univariee (χ2) puis multivariee (regression logistique) ont ete realisees. Resultats L9etude porte sur 459 cas de cancers prostatiques. Parmi eux 59% des cas ont ete presentes en RCP dans les 3 mois qui ont suivi leur diagnostic et 58% l9ont ete avant tout traitement. La frequence de la presentation chute avec l9âge, notablement apres 80 ans. Parmi les facteurs de gravite seul le fait de presenter une tumeur limitee est associee a une non presentation et cette non presentation n9est pas due a la mediation de l9âge. En revanche elle est fortement associee au fait d9etre traite par prostatectomie. La prostatectomie est associee a une moindre frequence de presentation en RCP et a une presentation tardive apres traitement. Les resultats de cette etude ont ete diffuses aux membres du reseau (notamment les urologues). Il est encore trop tot pour voir un impact sur les pratiques mais une nouvelle comparaison entre donnees du registre et donnees du DCC sera realisee pour les cas diagnostiques en 2009. Discussion (perspectives de developpement, limites) Il existe en France des registres de cancer dans 17 departements correspondant a 10 regions differentes. La mise en place d9une colaboration entre ces registres et les reseaux regionaux de cancerologie permettrait de disposer facilement d9une bonne mesure de l9exhaustivite du passage en RCP sur une fraction non negligeable du territoire francais. Dans les zones sans registre des methodes basees sur l9identification des cas par le PMSI peuvent etre developpees. Il serait interessant de les etalonner en les comparant avec les resultats obtenus dans les zones avec registres. Conclusion (lecons apprises et messages pour les autres) Ce type d9etude est facile a realiser si le reseau de cancerologie et un registre de cancer collaborent. L9interet de cette collaboration depasse largement le cadre de l9etude de l9exhaustivite car elle permet au reseau de profiter de l9experience du registre en matiere d9evaluation des pratiques en population. Mais elle est aussi benefique au registre en lui facilitant l9acces a des informations habituellement dispersees.

Published
2010
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43. The effect of patient characteristics on second primary cancer risk in France

Author

Jégu, Jérémie, primary, Colonna, Marc, additional, Daubisse-Marliac, Laetitia, additional, Trétarre, Brigitte, additional, Ganry, Olivier, additional, Guizard, Anne-Valérie, additional, Bara, Simona, additional, Troussard, Xavier, additional, Bouvier, Véronique, additional, Woronoff, Anne-Sophie, additional, and Velten, Michel, additional

Published
2014
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45. France, Tarn.

Author

Daubisse-Marliac, Laetitia, Grosclaude, Pascale, Sauvage, Martine, Ferre-Grevaz, Corine, Litre-Tournier, Regine, Miquel-Herail, Chantal, Siguier, Helene, Lagadic, Christophe, Robak, Cathy, and Testaud, Valerie

Subjects
NERVOUS system, GENITALIA, MYELOID leukemia, MULTIPLE myeloma, CERVIX uteri, SKIN cancer, LARYNGEAL cancer
Published
2021

46. [Adapting the care pathway].

Author

Daubisse-Marliac L, Balardy L, Le Goualher L, Bourgade G, Perrier C, and Guimbaud R

Subjects
Aged, France, Geriatrics organization & administration, Humans, Medical Oncology organization & administration, Quality of Life, Delivery of Health Care organization & administration, Neoplasms therapy
Abstract

The implementation of cross-functional measures along the care pathway of cancer patients in France is globally lower in the elderly. However, age is not a criterion for excluding curative treatment, and the evaluation of physical, psychological and social resources and comorbidities is particularly significant in this population. Identifying needs in terms of support care which influences the patient's quality of life as well as the efficacy of treatments is also essential. The objective of geriatric oncology coordination is to offer elderly cancer patients global treatment, curative or otherwise, through the putting in place of a personalised care programme., (Copyright © 2019. Published by Elsevier Masson SAS.)

Published
2019
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47. Are disparities of waiting times for breast cancer care related to socio-economic factors? A regional population-based study (France).

Author

Ayrault-Piault S, Grosclaude P, Daubisse-Marliac L, Pascal J, Leux C, Fournier E, Tagri AD, Métais M, Lombrail P, Woronoff AS, and Molinié F

Subjects
Aged, Breast Neoplasms epidemiology, Female, France epidemiology, Humans, Middle Aged, Prospective Studies, Regional Medical Programs statistics & numerical data, Registries, Regression Analysis, Self Report, Socioeconomic Factors, Breast Neoplasms therapy, Healthcare Disparities statistics & numerical data, Time-to-Treatment statistics & numerical data
Abstract

The increasing number of breast cancer cases may induce longer waiting times (WT), which can be a source of anxiety for patients and may play a role in survival. The aim of this study was to examine the factors, in particular socio-economic factors, related to treatment delays. Using French Cancer Registry databases and self-administered questionnaires, we included 1,152 women with invasive non-metastatic breast cancer diagnosed in 2007. Poisson regression analysis was used to identify WTs' influencing factors. For 973 women who had a malignant tissue sampling, the median of overall WT between the first imaging procedure and the first treatment was 44 days (9 days for pathological diagnostic WT and 31 days for treatment WT). The medical factors mostly explained inequalities in WTs. Socio-economic and behavioral factors had a limited impact on WTs except for social support which appeared to be a key point. Better identifying the factors associated with increase in WTs will make it possible to develop further interventional or prospective studies to confirm their causal role in delay and at last reduce disparities in breast cancer management., (© 2016 UICC.)

Published
2016
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