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3. Trends in cancer incidence by socioeconomic deprivation in Germany in 2007 to 2018: An ecological registry‐based study

Author

Jansen, Lina, primary, Schwettmann, Lars, additional, Behr, Christian, additional, Eberle, Andrea, additional, Holleczek, Bernd, additional, Justenhoven, Christina, additional, Kajüter, Hiltraud, additional, Manz, Kirsi, additional, Peters, Frederik, additional, Pritzkuleit, Ron, additional, Schmidt‐Pokrzywniak, Andrea, additional, Sirri, Eunice, additional, Tetzlaff, Fabian, additional, Voigtländer, Sven, additional, and Arndt, Volker, additional

Published
2023
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4. Opening Up Data Analysis for Medical Health Services: Data Integration and Analysis in Cancer Registries with CARESS

Author

Korfkamp, David, Gudenkauf, Stefan, Rohde, Martin, Sirri, Eunice, Kieschke, Joachim, Blohm, Kolja, Beck, Alexander, Puchkovskiy, Alexandr, Appelrath, H.-Jürgen, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Hameurlain, Abdelkader, editor, Küng, Josef, editor, Wagner, Roland, editor, Bellatreche, Ladjel, editor, and Mohania, Mukesh, editor

Published
2016
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5. Survival for patients with rare haematologic malignancies: Changes in the early 21st century

Author

Geiss, Karla, Meyer, Martin, Eberle, Andrea, Luttmann, Sabine, Stabenow, Roland, Hentschel, Stefan, Nennecke, Alice, Kieschke, Joachim, Sirri, Eunice, Holleczek, Bernd, Emrich, Katharina, Kajüter, Hiltraud, Mattauch, Volkmar, Katalinic, Alexander, Eisemann, Nora, Barnes, Benjamin, Kraywinkel, Klaus, Brenner, Hermann, Jansen, Lina, Weberpals, Janick, Pulte, Dianne, and Ressing, Meike

Published
2017
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6. Trends in cancer incidence by socioeconomic deprivation in Germany in 2007 to 2018: an ecological registry‐based study

Author

Jansen, Lina, Schwettmann, Lars, Behr, Christian, Eberle, Andrea, Holleczek, Bernd, Justenhoven, Christina, Kajüter, Hiltraud, Manz, Kirsi, Peters, Frederik, Pritzkuleit, Ron, Schmidt‐Pokrzywniak, Andrea, Sirri, Eunice, Tetzlaff, Fabian, Voigtländer, Sven, Arndt, Volker, Jansen, Lina, Schwettmann, Lars, Behr, Christian, Eberle, Andrea, Holleczek, Bernd, Justenhoven, Christina, Kajüter, Hiltraud, Manz, Kirsi, Peters, Frederik, Pritzkuleit, Ron, Schmidt‐Pokrzywniak, Andrea, Sirri, Eunice, Tetzlaff, Fabian, Voigtländer, Sven, and Arndt, Volker

Abstract

Age-standardized cancer incidence has decreased over the last years for many cancer sites in developed countries. Whether these trends led to narrowing or widening socioeconomic inequalities in cancer incidence is unknown. Using cancer registry data covering 48 million inhabitants in Germany, the ecological association between age-standardized total and site specific (colorectal, lung, prostate and breast) cancer incidence in 2007 to 2018 and a deprivation index on district level (aggregated to quintiles) was investigated. Incidence in the most and least deprived districts were compared using Poisson models. Average annual percentage changes (AAPCs) and differences in AAPCs between deprivation quintiles were assessed using Joinpoint regression analyses. Age-standardized incidence decreased strongly between 2007 and 2018 for total cancer and all cancer sites (except female lung cancer), irrespective of the level of deprivation. However, differences in the magnitude of trends across deprivation quintiles resulted in increasing inequalities over time for total cancer, colorectal and lung cancer. For total cancer, the incidence rate ratio between the most and least deprived quintile increased from 1.07 (95% confidence interval: 1.01-1.12) to 1.23 (1.12-1.32) in men and from 1.07 (1.01-1.13) to 1.20 (1.14-1.26) in women. Largest inequalities were observed for lung cancer with 82% (men) and 88% (women) higher incidence in the most vs the least deprived regions in 2018. The observed increase in inequalities in cancer incidence is in alignment with trends in inequalities in risk factor prevalence and partly utilization of screening. Intervention programs targeted at socioeconomically deprived and urban regions are highly needed.

Published
2023

7. Opening up Data Analysis for Medical Health Services: Cancer Survival Analysis with CARESS

Author

Korfkamp, David, Gudenkauf, Stefan, Rohde, Martin, Sirri, Eunice, Kieschke, Joachim, Appelrath, H. -Jürgen, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Bellatreche, Ladjel, editor, and Mohania, Mukesh K., editor

Published
2014
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8. Epidemiologie von Kopf-Hals-Tumoren in Deutschland

Author

Jansen, Lina, primary, Moratin, Julius, additional, Behr, Christian, additional, Holleczek, Bernd, additional, Luttmann, Sabine, additional, Peters, Frederik, additional, Robers, Gabriele, additional, Schmidt-Pokrzywniak, Andrea, additional, Pritzkuleit, Ron, additional, Sirri, Eunice, additional, Stang, Andreas, additional, and Arndt, Volker, additional

Published
2022
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9. 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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10. 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

12. 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

16. Survival of malignant mesothelioma and other rare thoracic cancers in Germany and the United States: A population-based study

Author

Sirri, Eunice, Kieschke, Joachim, Vohmann, Claudia, Katalinic, Alexander, Nennecke, Alice, Ressing, Meike, Eberle, Andrea, Holleczek, Bernd, Jansen, Lina, Brenner, Hermann, and The GEKID Cancer Survival Working Group

Subjects
Oncology, Male, Cancer Research, 0302 clinical medicine, Risk Factors, Germany, Epidemiology, Mass Screening, Mesothelioma, Neoplasms, Glandular and Epithelial, Registries, Child, Relative survival, Incidence (epidemiology), Incidence, Age Factors, Middle Aged, Prognosis, 030220 oncology & carcinogenesis, Child, Preschool, Epidemiological Monitoring, Malignant Epithelial Tumors, Female, End results, Adult, medicine.medical_specialty, Adolescent, 03 medical and health sciences, Young Adult, Sex Factors, Internal medicine, medicine, Humans, United States, Survival, Rare thoracic cancers, Mortality, Aged, Health Services Needs and Demand, business.industry, Mesothelioma, Malignant, Infant, Newborn, Cancer, Infant, Thymus Neoplasms, medicine.disease, Survival Analysis, Population based study, Tracheal Neoplasms, business
Abstract

Evidence on survival of malignant mesothelioma (MM) and other rare thoracic cancers is limited due to the rarity of these cancer sites. Here, we provide a comprehensive overview of MM incidence and survival after MM and other rare thoracic cancers in Germany and the United States (US). Incidence was estimated from a German National Cancer Database and from the Surveillance, Epidemiology and End Results (SEER) 18 database for 2000–2014. Patients diagnosed in 1997–2013 with malignant epithelial tumors of the trachea (Etra), epithelial tumors of the thymus (Ethy) and MM were extracted from a German cancer survival database and from the SEER 13 database. Period analysis was employed to compute 5‐year relative survival (RS). During 2000–2014, an annual average of 0.9 and 0.6 MM cases per 100,000 person‐years was diagnosed in Germany and the US. Rates decreased in Germany and in the US. Patients with Ethy had highest 5‐year RS with US patients surviving longer (69.1% compared to 63.7%, p = 0.02). Survival after Etra was comparable in both countries (Germany 33.6%, US 34.4%, p = 0.07). Survival in MM patients was poor overall (Germany 11.8%, US 12.1%, p

Published
2019

17. Estimation of the Potentially Avoidable Excess Deaths Associated with Socioeconomic Inequalities in Cancer Survival in Germany

Author

Jansen, Lina, primary, Kanbach, Josephine, additional, Finke, Isabelle, additional, Arndt, Volker, additional, Emrich, Katharina, additional, Holleczek, Bernd, additional, Kajüter, Hiltraud, additional, Kieschke, Joachim, additional, Maier, Werner, additional, Pritzkuleit, Ron, additional, Sirri, Eunice, additional, Schwettmann, Lars, additional, Erb, Cynthia, additional, Brenner, Hermann, additional, and Group, for the German Cancer Survival Working, additional

Published
2021
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18. 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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19. Divergent Patterns and Trends in Breast Cancer Incidence, Mortality and Survival Among Older Women in Germany and the United States

Author

Jansen, Lina, primary, Holleczek, Bernd, additional, Kraywinkel, Klaus, additional, Weberpals, Janick, additional, Schröder, Chloé Charlotte, additional, Eberle, Andrea, additional, Emrich, Katharina, additional, Kajüter, Hiltraud, additional, Katalinic, Alexander, additional, Kieschke, Joachim, additional, Nennecke, Alice, additional, Sirri, Eunice, additional, Heil, Jörg, additional, Schneeweiss, Andreas, additional, and Brenner, Hermann, additional

Published
2020
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20. A population-based registry study on relative survival from melanoma in Germany stratified by tumor thickness for each histologic subtype

Author

Brunssen, Alicia, primary, Jansen, Lina, additional, Eisemann, Nora, additional, Waldmann, Annika, additional, Weberpals, Janick, additional, Kraywinkel, Klaus, additional, Eberle, Andrea, additional, Holleczek, Bernd, additional, Zeissig, Sylke Ruth, additional, Brenner, Hermann, additional, Katalinic, Alexander, additional, Geiss, Karla, additional, Meyer, Martin, additional, Luttmann, Sabine, additional, Stabenow, Roland, additional, Hentschel, Stefan, additional, Nennecke, Alice, additional, Kieschke, Joachim, additional, Sirri, Eunice, additional, Emrich, Katharina, additional, Kajüter, Hiltraud, additional, and Mattauch, Volkmar, additional

Published
2019
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21. Survival of malignant mesothelioma and other rare thoracic cancers in Germany and the United States: A population‐based study.

Author

Sirri, Eunice, Kieschke, Joachim, Vohmann, Claudia, Katalinic, Alexander, Nennecke, Alice, Ressing, Meike, Eberle, Andrea, Holleczek, Bernd, Jansen, Lina, and Brenner, Hermann

Subjects
MESOTHELIOMA, CANCER, EPITHELIAL tumors, CHEST (Anatomy), WESTERN countries, PLEURA cancer, THYMUS tumors
Abstract

Evidence on survival of malignant mesothelioma (MM) and other rare thoracic cancers is limited due to the rarity of these cancer sites. Here, we provide a comprehensive overview of MM incidence and survival after MM and other rare thoracic cancers in Germany and the United States (US). Incidence was estimated from a German National Cancer Database and from the Surveillance, Epidemiology and End Results (SEER) 18 database for 2000–2014. Patients diagnosed in 1997–2013 with malignant epithelial tumors of the trachea (Etra), epithelial tumors of the thymus (Ethy) and MM were extracted from a German cancer survival database and from the SEER 13 database. Period analysis was employed to compute 5‐year relative survival (RS). During 2000–2014, an annual average of 0.9 and 0.6 MM cases per 100,000 person‐years was diagnosed in Germany and the US. Rates decreased in Germany and in the US. Patients with Ethy had highest 5‐year RS with US patients surviving longer (69.1% compared to 63.7%, p = 0.02). Survival after Etra was comparable in both countries (Germany 33.6%, US 34.4%, p = 0.07). Survival in MM patients was poor overall (Germany 11.8%, US 12.1%, p < 0.01). Survival improvements were only observed in MM patients in Germany (10.8% [2002–2007] vs. 13.0% [2008–2013], p < 0.01). The lack of progress in survival for Etra and Ethy patients underlines the need of novel preventive, therapeutic and diagnostic approaches. MM incidence significantly decreased in Germany and in the US. Further monitoring of MM incidence is warranted given that a peak in incidence is expected in 2020–2030 in Western countries. What's new? Certain cancer types that originate from the epithelial or mesothelial tissues of the thoracic cavity are exceedingly rare. As a consequence, little is known about their incidence and survival. Here, utilizing national databases, the authors estimated incidence and survival of malignant mesothelioma (MM) and other rare thoracic cancers in Germany and the United States. Analyses show that between 2000 and 2014, MM incidence declined in both countries, although only MM survival improved in Germany. No improvements were observed in either country for survival of epithelial tumors of the trachea and thymus, highlighting a need for preventive and therapeutic advances. [ABSTRACT FROM AUTHOR]

Published
2020
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22. Überlebenszeitanalysen in CARESS: Hin zu klinischen Krebsregistern

Author

Korfkamp, David, Sirri, Eunice, Kieschke, Joachim, Gudenkauf, Stefan, and Blohm, Kolja

Subjects
Statistical methods for health services research, ddc: 610, Big Data techniques for clinical registries, 610 Medical sciences, Medicine, Medical informatics in health service research
Abstract

Hintergrund: CARESS ist ein analytisches Informationssystem, das seit 1993 am Informatikinstitut OFFIS in Zusammenarbeit mit dem epidemiologischen Krebsregister Niedersachsen entwickelt wird. Ein Fokus der Entwicklung liegt darauf, Anwender ohne Datenbank- und R-Kenntnisse in die Lage zu versetzen, [zum vollständigen Text gelangen Sie über die oben angegebene URL], HEC 2016: Health – Exploring Complexity; Joint Conference of GMDS, DGEpi, IEA-EEF, EFMI

Published
2016
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23. Survival for patients with rare haematologic malignancies: Changes in the early 21st century

Author

Pulte, Dianne, primary, Weberpals, Janick, additional, Jansen, Lina, additional, Luttmann, Sabine, additional, Holleczek, Bernd, additional, Nennecke, Alice, additional, Ressing, Meike, additional, Katalinic, Alexander, additional, Brenner, Hermann, additional, Geiss, Karla, additional, Meyer, Martin, additional, Eberle, Andrea, additional, Stabenow, Roland, additional, Hentschel, Stefan, additional, Kieschke, Joachim, additional, Sirri, Eunice, additional, Emrich, Katharina, additional, Kajüter, Hiltraud, additional, Mattauch, Volkmar, additional, Eisemann, Nora, additional, Barnes, Benjamin, additional, and Kraywinkel, Klaus, additional

Published
2017
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25. CARESS als Auswertungssoftware für epidemiologische Krebsregister

Author

Korfkamp, David and Sirri, Eunice

Subjects
ddc: 610, 610 Medical sciences, Medicine
Abstract

In dieser Softwaredemonstration stellen wir die Softwareanwendung CARESS (Cancer Registry Epidemiological and Statistical Data Exploration System), die für den Einsatz in epidemiologischen Krebsregistern in Zusammenarbeit mit Anwendern aus diesem Bereich entwickelt wurde, vor. CARESS ist eine Analysesoftware,[for full text, please go to the a.m. URL], GMDS 2013; 58. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)

Published
2013
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26. Survival of patients with hepatobiliary tract and duodenal cancer sites in Germany and the United States in the early 21st century.

Author

Pulte, Dianne, Weberpals, Janick, Schröder, Chloé Charlotte, Emrich, Katharina, Holleczek, Bernd, Katalinic, Alexander, Luttmann, Sabine, Sirri, Eunice, Jansen, Lina, Brenner, Hermann, and for the GEKID Cancer Survival Working Group

Abstract

Hepatobiliary tract cancers (HBTCs) are a heterogeneous group of cancers with high mortality. Because most of these cancers, with the exception of hepatocellular carcinoma (HCC), are rare, few data are available concerning the population level survival expectations of patients with HBTC. Here, we describe survival of patients with HBTC in Germany with comparison to survival in the US. Therefore, data were extracted from 12 databases in Germany and the Surveillance, Epidemiology and End Results (SEER13) database in the US. Period analysis and modeled period analysis were used to calculate 5‐year relative survival estimates for patients with HBTC diagnosed from 1997 to 2013. HCC was the most common HBTC in each database, accounting for over 1/3 of HBTC in Germany and about half of cases in the US. Overall age adjusted 5‐year relative survival for HBTC in 2006‐2013 was 19.1% in Germany and 20.6% in the US. Five‐year relative survival increased by 3.8% units in Germany and 4.5% units in the US between 2002–2005 and 2010–2013. Five‐year relative survival for individual types of HBTC ranged from 9.8% in Germany and 2.9% in the US for not otherwise specified biliary tract cancers to 44.4% and 50.1%, respectively, in Germany and the US for duodenal cancers. In conclusion, survival for HBTC remains poor in both Germany and the US, although a small increase in survival in the past decade was observed. Further work to find better treatment options for HBTC is needed to improve survival. [ABSTRACT FROM AUTHOR]

Published
2018
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27. Cox-Regressionsmodell zum Einfluss des Faktors Krebsnachsorge auf das Überleben von Brustkrebspatientinnen: Auswertung des Epidemiologischen Krebsregisters Niedersachsen (EKN)

Author

Sirri, Eunice, Kieschke, Joachim, and Reinders, Tammo

Subjects
Coxmodell, ddc: 610, 610 Medical sciences, Medicine, Krebsnachsorge
Abstract

Zielsetzung: In Niedersachsen organisieren und dokumentieren sechs Nachsorgeleitstellen (NLST) die Krebsnachsorge. Träger der NLST ist die Kassenärztliche Vereinigung Niedersachsen. Ziele der Nachsorge sind u.a. die Unterstützung der ärztlichen Tätigkeit und Langzeitbetreuung[for full text, please go to the a.m. URL], Mainz//2011; 56. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 6. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi)

Published
2011

28. Comparison of prostate cancer survival in Germany and the USA: can differences be attributed to differences in stage distributions?

Author

Winter, Alexander, Sirri, Eunice, Jansen, Lina, Wawroschek, Friedhelm, Kieschke, Joachim, Castro, Felipe A., Krilaviciute, Agne, Holleczek, Bernd, Emrich, Katharina, Waldmann, Annika, Brenner, Hermann, Geiss, Karla, Meyer, Martin, Eberle, Andrea, Luttmann, Sabine, Stabenow, Roland, Hentschel, Stefan, Nennecke, Alice, Kajüter, Hiltraud, and Mattauch, Volkmar

Subjects
*PROSTATE cancer patients, *PROSTATE-specific antigen, *SURVIVAL analysis (Biometry), *PUBLIC health, *CANCER invasiveness
Abstract

Objectives To better understand the influence of prostate-specific antigen ( PSA) screening and other health system determinants on prognosis of prostate cancer, up-to-date relative survival ( RS), stage distributions, and trends in survival and incidence in Germany were evaluated and compared with the United States of America (USA). Patients and Methods Incidence and mortality rates for Germany and the USA for the period 1999-2010 were obtained from the Centre for Cancer Registry Data at the Robert Koch Institute and the USA Surveillance Epidemiology and End Results ( SEER) database. For analyses on stage and survival, data from 12 population-based cancer registries in Germany and from the SEER-13 database were analysed. Patients (aged ≥ 15 years) diagnosed with prostate cancer (1997-2010) and mortality follow-up to December 2010 were included. The 5- and 10-year RS and survival trends (2002-2010) were calculated using standard and model-based period analysis. Results Between 1999 and 2010, prostate cancer incidence decreased in the USA but increased in Germany. Nevertheless, incidence remained higher in the USA throughout the study period (99.8 vs 76.0 per 100,000 in 2010). The proportion of localised disease significantly increased from 51.9% (1998-2000) to 69.6% (2007-2010) in Germany and from 80.5% (1998-2000) to 82.6% (2007-2010) in the USA. Mortality slightly decreased in both countries (1999-2010). Overall, 5- and 10-year RS was lower in Germany (93.3%; 90.7%) than in the USA (99.4%; 99.6%) but comparable after adjustment for stage. The same patterns were seen in age-specific analyses. Improvements seen in prostate cancer survival between 2002-2004 and 2008-2010 (5-year RS: 87.4% and 91.2%; +3.8% units) in Germany disappeared after adjustment for stage ( P = 0.8). Conclusion The survival increase in Germany and the survival advantage in the USA might be explained by differences in incidence and stage distributions over time and across countries. Effects of early detection or a lead-time bias due to the more widespread utilisation and earlier introduction of PSA testing in the USA are likely to explain the observed patterns. [ABSTRACT FROM AUTHOR]

Published
2017
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29. Germany, Lower Saxony.

Author

Kieschke, Joachim, Urbschat, Iris, Sirri, Eunice, Vohmann, Claudia, Jopp, Claudia, Bruns-Philipps, Elke, Maaser, Kerstin, and Deitermann, Bernhilde

Subjects
NERVOUS system, GENITALIA, SKIN cancer, BLADDER cancer, MYELOID leukemia, PROSTATE cancer, URINARY organs
Published
2021

30. 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 V, Stiller CA, Eisemann N, Bordoni A, Matz M, Curado MP, Daubisse-Marliac L, Valkov M, Bulliard JL, Morrison D, Johnson C, Girardi F, Marcos-Gragera R, Šekerija M, Larønningen S, Sirri E, Coleman MP, and Allemani C

Subjects
Adult, Humans, Taiwan, Melanoma, Cutaneous Malignant, Hutchinson's Melanotic Freckle, Melanoma pathology, Skin Neoplasms pathology
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., (© 2022 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.)

Published
2022
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