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3. Trends in short-term survival from distant-stage cutaneous melanoma in the United States, 2001-2013 (CONCORD-3)

Author

Di Carlo, Veronica, Estève, Jacques, Johnson, Christopher, Girardi, Fabio, Weir, Hannah K, Wilson, Reda J, Minicozzi, Pamela, Cress, Rosemary D, Lynch, Charles F, Pawlish, Karen S, Rees, Judith R, Coleman, Michel P, Allemani, Claudia, Group, CONCORD Working, Freeman, T, George, JT, Avila, RM, O'Brien, DK, Holt, A, Almon, L, Kwong, S, Morris, C, Rycroft, R, Mueller, L, Phillips, CE, Cromartie, B, Schwartz, AG, Vigneau, F, Levin, GM, Wohler, B, Bayakly, R, Ward, KC, Gomez, SL, McKinley, M, Cress, R, Green, MD, Miyagi, K, Johnson, CJ, Ruppert, LP, Lynch, CF, Huang, B, Tucker, TC, Deapen, D, Liu, L, Hsieh, MC, Wu, XC, Schwenn, M, Stern, K, Gershman, ST, Knowlton, RC, Alverson, G, Weaver, T, Bushhouse, S, Rogers, DB, Jackson-Thompson, J, Lemons, D, Zimmerman, HJ, Hood, M, Roberts-Johnson, J, Rees, JR, Riddle, B, Pawlish, KS, Stroup, A, Key, C, Wiggins, C, Kahn, AR, Schymura, MJ, Radhakrishnan, S, Rao, C, Giljahn, LK, Slocumb, RM, Espinoza, RE, Khan, F, Aird, KG, Beran, T, Rubertone, JJ, Slack, SJ, Oh, J, Janes, TA, Schwartz, SM, Bolick, SW, Hurley, DM, Whiteside, MA, Miller-Gianturco, P, Williams, MA, Herget, K, Sweeney, C, Johnson, AT, Cheteri, MB Keitheri, Santiago, P Migliore, Blankenship, SE, Farley, S, Borchers, R, Malicki, R, Espinoza, JR, Grandpre, J, Weir, HK, Wilson, R, Edwards, BK, and Mariotto, A

Subjects
Cancer, US CONCORD Working Group
Abstract

BackgroundSurvival from metastatic cutaneous melanoma is substantially lower than for localized disease. Treatments for metastatic melanoma have been limited, but remarkable clinical improvements have been reported in clinical trials in the last decade. We described the characteristics of US patients diagnosed with cutaneous melanoma during 2001-2013 and assessed trends in short-term survival for distant-stage disease.MethodsTrends in 1-year net survival were estimated using the Pohar Perme estimator, controlling for background mortality with life tables of all-cause mortality rates by county of residence, single year of age, sex, and race for each year 2001-2013. We fitted a flexible parametric survival model on the log-hazard scale to estimate the effect of race on the hazard of death because of melanoma and estimated 1-year net survival by race.ResultsOnly 4.4% of the 425 915 melanomas were diagnosed at a distant stage, cases diagnosed at a distant stage are more commonly men, older patients, and African Americans. Age-standardized, 1-year net survival for distant-stage disease was stable at approximately 43% during 2001-2010. From 2010 onward, survival improved rapidly, reaching 58.9% (95% confidence interval = 56.6% to 61.2%) for patients diagnosed in 2013. Younger patients experienced the largest improvement. Survival for distant-stage disease increased in both Blacks and Whites but was consistently lower in Blacks.ConclusionsOne-year survival for distant-stage melanoma improved during 2001-2013, particularly in younger patients and those diagnosed since 2010. This improvement may be a consequence of the introduction of immune-checkpoint-inhibitors and other targeted treatments for metastatic and unresectable disease. Persistent survival inequalities exist between Blacks and Whites, suggesting differential access to treatment.

Published
2020

15. Trends in Breast Cancer Incidence, by Race, Ethnicity, and Age Among Women Aged ≥20 Years — United States, 1999–2018

Author

Ellington, Taylor D., Miller, Jacqueline W., Henley, S. Jane, Wilson, Reda J., Wu, Manxia, and Richardson, Lisa C.

Subjects
Adult, Health (social science), Epidemiology, Incidence, Health, Toxicology and Mutagenesis, Breast Neoplasms, General Medicine, Middle Aged, United States, Race Factors, Age Distribution, Health Information Management, Ethnicity, Humans, Female, Full Report, Registries, Centers for Disease Control and Prevention, U.S, Aged, SEER Program
Abstract

Breast cancer is commonly diagnosed among women, accounting for approximately 30% of all cancer cases reported among women.* A slight annual increase in breast cancer incidence occurred in the United States during 2013-2017 (1). To examine trends in breast cancer incidence among women aged ≥20 years by race/ethnicity and age, CDC analyzed data from U.S. Cancer Statistics (USCS) during 1999-2018. Overall, breast cancer incidence rates among women decreased an average of 0.3% per year, decreasing 2.1% per year during 1999-2004 and increasing 0.3% per year during 2004-2018. Incidence increased among non-Hispanic Asian or Pacific Islander women and women aged 20-39 years and decreased among non-Hispanic White women and women aged 50-64 and ≥75 years. The U.S. Preventive Services Task Force currently recommends biennial screening mammography for women aged 50-74 years (2). These findings suggest that women aged 20-49 years might benefit from discussing potential breast cancer risk and ways to reduce risk with their health care providers. Further examination of breast cancer trends by demographic characteristics might help tailor breast cancer prevention and control programs to address state- or county-level incidence rates

Published
2022

16. Trends in Breast Cancer Incidence, by Race, Ethnicity, and Age Among Women Aged [greater than or equal to] 20 Years--United States, 1999-2018

Author

Ellington, Taylor D., Miller, Jacqueline W., Henley, S. Jane, Wilson, Reda J., Wu, Manxia, and Richardson, Lisa C.

Subjects
United States. National Cancer Institute, Breast cancer, Health
Abstract

Breast cancer is commonly diagnosed among women, accounting for approximately 30% of all cancer cases reported among women. * A slight annual increase in breast cancer incidence occurred in the [...]

Published
2022

18. Invasive Cancer Incidence — Puerto Rico, 2007–2011

Author

O’Neil, Mary Elizabeth, Henley, S. Jane, Singh, Simple D., Wilson, Reda J., Ortiz-Ortiz, Karen J., Ríos, Naydi Pérez, Cintrón, Carlos R. Torres, Luna, Guillermo Tortolero, Zegarra, Diego E. Zavala, and Ryerson, A. Blythe

Published
2015

22. 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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23. Operational Characteristics of Central Cancer Registries that Support the Generation of High-Quality Surveillance Data

Author

Edwards, Patrick, Bernacet, Amarilys, Tangka, Florence K. L., Pordell, Paran, Beizer, Jenny, Wilson, Reda, Blumenthal, Wendy, Jones, Sandra F., Cole-Beebe, Maggie, and Subramanian, Sujha

Subjects
Article
Abstract

OBJECTIVES: We aim to assess external and internal attributes and operations of the Centers for Disease Control and Prevention (CDC)’s National Program of Cancer Registries (NPCR) central cancer registries by their consistency in meeting national data quality standards. METHODS: The NPCR 2017 Program Evaluation Instrument (PEI) data were used to assess registry operational attributes, including adoption of electronic reporting, compliance with reporting, staffing, and software used among 46 NPCR registries. These factors were stratified by (1) registries that met the NPCR 12-month standards for all years 2014–2017; (2) registries that met the NPCR 12-month standards at least once in 2014–2017 and met the NPCR 24-month standards for all years 2014–2017; and (3) registries that did not meet the NPCR 24-month standards for all years 2014–2017. Statistical tests helped identify significant differences among registries that consistently, sometimes, or seldom/never achieved data standards. RESULTS: Registries that always met the standards had a higher level of electronic reporting and a higher compliance with reporting among hospitals than registries that sometimes or seldom/never met the standards. Although not a statistically significant finding, the same registries also had a higher proportion of staffing positions filled, a higher proportion of certified tumor registrars, and more quality assurance and information technology staff. CONCLUSIONS: This information may be used to understand the importance of various factors and characteristics, including the adoption of electronic reporting, that may be associated with a registry’s ability to consistently meet NPCR standards. The findings may be helpful in identifying best practices for processing high-quality cancer data.

Published
2022

24. Trends in breast cancer mortality by race/ethnicity, age, and US census region, United States─1999‐2020.

Author

Ellington, Taylor D., Henley, S. Jane, Wilson, Reda J., Miller, Jacqueline W., Wu, Manxia, and Richardson, Lisa C.

Subjects
RACE, CANCER-related mortality, BREAST cancer, MEDICAL personnel, CENSUS
Abstract

Background: Breast cancer remains a leading cause of morbidity and mortality among women in the United States. Previous analyses show that breast cancer incidence increased from 1999 to 2018. The purpose of this article is to examine trends in breast cancer mortality. Methods: Analysis of 1999 to 2020 mortality data from the Centers for Disease Control and Prevention, National Center for Health Statistics, among women by race/ethnicity, age, and US Census region. Results: It was found that overall breast cancer mortality is decreasing but varies by race/ethnicity, age group, and US Census region. The largest decrease in mortality was observed among non‐Hispanic White women, women aged 45 to 64 years of age, and women living in the Northeast; whereas the smallest decrease in mortality was observed among non‐Hispanic Asian or Pacific Islander women, women aged 65 years or older, and women living in the South. Conclusion: This report provides national estimates of breast cancer mortality from 1999 to 2020 by race/ethnicity, age group, and US Census region. The decline in breast cancer mortality varies by demographic group. Disparities in breast cancer mortality have remained consistent over the past two decades. Using high‐quality cancer surveillance data to estimate trends in breast cancer mortality may help health care professionals and public health prevention programs tailor screening and diagnostic interventions to address these disparities. Overall breast cancer mortality is decreasing but varies by race/ethnicity, age group, and US Census region. Using high‐quality cancer surveillance data to estimate trends in breast cancer mortality may help health care professionals and public health prevention programs tailor screening and diagnostic interventions to address these disparities. [ABSTRACT FROM AUTHOR]

Published
2023
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25. Cancer disparities among non‐Hispanic urban American Indian and Alaska Native populations in the United States, 1999‐2017

Author

Melkonian, Stephanie C., primary, Jim, Melissa A., additional, Pete, Dornell, additional, Poel, Amy, additional, Dominguez, Adrian E., additional, Echo‐Hawk, Abigail, additional, Zhang, Stephanie, additional, Wilson, Reda J., additional, Haverkamp, Donald, additional, Petras, Lindsey, additional, and Pohlenz, Ashley, additional

Published
2022
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27. Visualizing Cancer Incidence and Mortality Estimates by Congressional Districts, United States 2012–2016

Author

Senkomago, Virginia, Thompson, Trevor D., Scott, Lia C., Singh, Simple D., O’Neil, Mary Elizabeth, Wilson, Reda, King, Jessica B., Jim, Melissa M., Lu, Hua, Wu, Manxia, Benard, Vicki B., and Richardson, Lisa C.

Subjects
Article
Abstract

BACKGROUND: Cancer incidence and death rates in the United States are often published at the county or state-levels; examining cancer statistics at the congressional district (CD) level allows decision makers to better understand how cancer is impacting the specific populations they represent. METHODS: Cancer incidence data were obtained from the Centers for Disease Control and Prevention’s National Program of Cancer Registries and the National Cancer Institute’s Surveillance, Epidemiology, and End Results Program. Mortality data were obtained from the National Center for Health Statistics. CD rates were estimated by assigning the county-level age-adjusted rates to the census block and weighting those by the block population proportion of the CD. Those weighted rates were then aggregated over the blocks within the CD to estimate the district rate. Incidence rate estimates for 406 CDs and death rate estimates for 436 CDs were reported according to the boundaries for the 115th Congress of the United States. Maps showing rate estimates for all cancers combined, lung/bronchus, colorectal, female breast, cervical, and prostate cancer are presented by sex and race/ethnicity. RESULTS: The distribution of cancer incidence and death rates by CDs show similar patterns to those that have been observed at the county and state levels, with the highest cancer incidence and death rates observed in CDs in the South and Eastern regions. CONCLUSION: This examination of cancer rates at the CD-level provides data that can be used to inform cancer control strategies at the local and national levels. Displaying the data with the Data Visualizations tool makes it easily accessible to the public and decision makers.

Published
2020

28. Evaluation of the Vulvar Cancer Histology Code Reported by Central Cancer Registries: Importance in Epidemiology

Author

Siegel, David A., Wilson, Reda, Wilkinson, Edward J., Gargano, Julia W., Watson, Meg, Hernandez, Brenda Y., Goodman, Marc T., Lynch, Charles F., Unger, Elizabeth R., and Saraiya, Mona

Subjects
Registries (Medicine) -- Forecasts and trends, Vulvar cancer -- Statistics, Market trend/market analysis, Health
Abstract

Context.--Knowing the subtype of vulvar cancer histology is important for estimating human papillomavirus-related cancer etiology. Surveillance of human papillomavirus--related vulvar cancers informs public health decisions related to vaccination against human papillomavirus. Objective.--To assess the accuracy of registry classifications of vulvar cancer and determine the histologic classification of cases reported as not otherwise specified. Design.--Pathology specimens were collected from Florida, Iowa, and Hawaii cancer registries. Registry diagnosis was compared with the pathology report from the medical record and a single expert study histology review of a representative histologic section from each case. Results.--The study included 60 invasive vulvar squamous cell carcinoma (SCC) cases, 6 Paget disease cases, 2 basal cell carcinoma cases, and 53 in situ cases. Comparing subtypes of invasive vulvar SCC, the registry agreed with the pathology report classification in 49 of 60 cases (81.7%). Study histology review identified the same SCC subtype as the registry in 9 of 60 cases (15.0%) and the same SCC subtype as the pathology report in 11 of 60 cases (18.3%). Whereas the registry and pathology reports classified 37 and 34 cases, respectively, as being SCC not otherwise specified, the study histology review identified a more specific subtype in all cases. Conclusions.--Subtypes of vulvar cancer were frequently recorded as not otherwise specified in the cancer registry primarily because the pathology report often did not specify the histologic subtype. Vulvar cancer registry data are useful for tracking broad diagnostic categories, but are less reliable for vulvar cancer subtypes. doi: 10.5858/arpa.2015-0422-OA, Vulvar cancer is a rare malignancy that accounted for 4851 cases and 1034 deaths in the United States in 2012. (1) There are multiple histologic subtypes of vulvar cancer, and [...]

Published
2017
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30. Trends in Breast Cancer Incidence, by Race, Ethnicity, and Age Among Women Aged =20 Years -- United States, 1999-2018.

Author

Ellington, Taylor D., Miller, Jacqueline W., Henley, S. Jane, Wilson, Reda J., Manxia Wu, and Richardson, Lisa C.

Subjects
HOT flashes, BREAST cancer, ETHNICITY, NATIVE American women, MEDICAL personnel, AGE distribution, RACE, MAMMOGRAMS, EARLY detection of cancer, ETHNIC groups, BREAST tumors
Abstract

The article informs that breast cancer accounts for 30% of all cancers diagnosed in women. During 1999–2018, breast cancer incidence among women aged ≥20 years decreased an average of 0.3% per year, decreasing 2.1% per year during 1999–2004 and increasing 0.3% per year during 2004–2018. It is noted that the U.S. Preventive Services Task Force currently recommends biennial mammography screening for women aged 50–74 years.

Published
2022
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35. Cancer in Appalachia, 2001–2003

Author

Wingo, Phyllis A., Tucker, Thomas C., Jamison, Patricia M., Martin, Howard, McLaughlin, Colleen, Bayakly, Rana, Bolick-Aldrich, Susan, Colsher, Pat, Indian, Robert, Knight, Karen, Neloms, Stacey, Wilson, Reda, and Richards, Thomas B.

Published
2008
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36. Prognostic factors for survival in pancreatic cancer: a population-based study

Author

Eloubeidi, Mohamad A., Desmond, Renee A., Wilcox, C. Mel, Wilson, Reda J., Manchikalapati, Pavan, Fouad, Mona M., Eltoum, Isam, and Vickers, Selwyn M.

Subjects
Pancreatic cancer -- Demographic aspects, Pancreatic cancer -- Patient outcomes, Pancreatic cancer -- Research, Cancer patients -- Demographic aspects, Cancer patients -- Prognosis, Cancer patients -- Research, Risk factors (Health) -- Demographic aspects, Risk factors (Health) -- Research, African Americans -- Health aspects, African Americans -- Research, Health
Published
2006

37. Population-based study of the geographic variation in colon cancer incidence in Alabama: relationship to socioeconomic status indicators and physician density

Author

Shipp, Michele P.L., Desmond, Renee, Accortt, Neil, Wilson, Reda J., Fouad, Mona, and Eloubeidi, Mohamad A.

Subjects
Alabama -- Social aspects -- Health aspects, Colon cancer -- Development and progression -- Research -- Social aspects -- Health aspects, Health, Social aspects, Development and progression, Research, Health aspects
Abstract

Objectives: The objective of this population-based study was to examine the relationship between race, socioeconomic characteristics (socioeconomic status, SES), physician density, and colon cancer incidence in Alabama. Methods: Data for [...]

Published
2005

40. USA, NPCR.

Author

Wilson, Reda J., King, Jessica B., Singh, Simple D., Ryerson, A. Blythe, Rogers, Joseph D., and Eheman, Christie R.

Subjects
GENITALIA, NERVOUS system, BLADDER cancer, NON-Hodgkin's lymphoma, URINARY organs, UNITED States census
Published
2021

41. USA.

Author

Wilson, Reda J., King, Jessica B., Singh, Simple D., Ryerson, A. Blythe, Rogers, Joseph D., Eheman, Christie R., Mueller, Lloyd, Phillips, Cathryn, Gonsalves, Lou, Hernandez, Brenda Y., Davis, Joni, Lynch, Charles F., Platz, Charles, McKeen, Kathleen M., Wiggins, Charles, Wiggins, Virginia, Meisner, Angela, Barry, Marc, and Ou, Judy

Subjects
GENITALIA, NERVOUS system, BLADDER cancer, NON-Hodgkin's lymphoma, URINARY organs, CERVIX uteri, SKIN cancer
Published
2021

42. Trends in solitary plasmacytoma, extramedullary plasmacytoma, and plasma cell myeloma incidence and myeloma mortality by racial‐ethnic group, United States 2003‐2016.

Author

Ellington, Taylor D., Henley, S. Jane, Wilson, Reda J., Wu, Manxia, and Richardson, Lisa C.

Subjects
PLASMACYTOMA, MULTIPLE myeloma, GENDER, ALASKA Natives, MORTALITY, OVERWEIGHT persons, EXTRAMEDULLARY diseases
Abstract

Plasma cell myeloma (also called multiple myeloma), solitary plasmacytoma, and extramedullary plasmacytoma are primarily diseases of the elderly. Evidence suggests an association between excess body weight and multiple myeloma. Few population‐based studies have examined incidence and mortality of each site in one study. We analyzed incidence and death rates by site (solitary plasmacytoma, extramedullary plasmacytoma, and multiple myeloma) by gender, age, race/ethnicity, and rural‐urban status among adult males and females (aged 20 years or older) in the United States during 2003‐2016. Trends were characterized as average annual percentage change (AAPC) in rates. During 2003‐2016, overall incidence rates among adults were 0.45 for solitary plasmacytoma, 0.09 for extramedullary plasmacytoma, and 8.47 for multiple myeloma per 100,000 persons. Incidence rates for multiple myeloma increased during 2003‐2016 among non‐Hispanic whites (AAPC = 1.78%) and non‐Hispanic blacks (2.98%) 20‐49 years of age; non‐Hispanic whites (1.17%) and non‐Hispanic blacks (1.24%) 50‐59 years of age; and whites non‐Hispanic (0.91%), and non‐Hispanic blacks (0.96%). During 2003‐2016 overall myeloma (extramedullary plasmacytoma and multiple myeloma) death rates among adults was 4.77 per 100,00 persons. Myeloma death rates decreased during 2003‐2016 among non‐Hispanic white (AAPC = −1.23%) and Hispanic (−1.34%) women; and non‐Hispanic white (−0.74%), non‐Hispanic American Indian/Alaska Native (−3.05%) men. The US population is projected to become older and will have a larger proportion of persons who have had an earlier and longer exposure to excess body weight. The potential impact of these population changes on myeloma incidence and mortality can be monitored with high‐quality cancer surveillance data. [ABSTRACT FROM AUTHOR]

Published
2021
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43. Trends in short-term survival from distant-stage cutaneous melanoma in the United States, 2001-2013 (CONCORD-3).

Author

Carlo, Veronica Di, Estève, Jacques, Johnson, Christopher, Girardi, Fabio, Weir, Hannah K, Wilson, Reda J, Minicozzi, Pamela, Cress, Rosemary D, Lynch, Charles F, Pawlish, Karen S, Rees, Judith R, Coleman, Michel P, Allemani, Claudia, and Group, US CONCORD Working

Subjects
MELANOMA, METASTASIS, MORTALITY, CANCER survivors, RACIAL differences, SEX differences in cancer
Abstract

Background Survival from metastatic cutaneous melanoma is substantially lower than for localized disease. Treatments for metastatic melanoma have been limited, but remarkable clinical improvements have been reported in clinical trials in the last decade. We described the characteristics of US patients diagnosed with cutaneous melanoma during 2001-2013 and assessed trends in short-term survival for distant-stage disease. Methods Trends in 1-year net survival were estimated using the Pohar Perme estimator, controlling for background mortality with life tables of all-cause mortality rates by county of residence, single year of age, sex, and race for each year 2001-2013. We fitted a flexible parametric survival model on the log-hazard scale to estimate the effect of race on the hazard of death because of melanoma and estimated 1-year net survival by race. Results Only 4.4% of the 425 915 melanomas were diagnosed at a distant stage, cases diagnosed at a distant stage are more commonly men, older patients, and African Americans. Age-standardized, 1-year net survival for distant-stage disease was stable at approximately 43% during 2001-2010. From 2010 onward, survival improved rapidly, reaching 58.9% (95% confidence interval = 56.6% to 61.2%) for patients diagnosed in 2013. Younger patients experienced the largest improvement. Survival for distant-stage disease increased in both Blacks and Whites but was consistently lower in Blacks. Conclusions One-year survival for distant-stage melanoma improved during 2001-2013, particularly in younger patients and those diagnosed since 2010. This improvement may be a consequence of the introduction of immune-checkpoint-inhibitors and other targeted treatments for metastatic and unresectable disease. Persistent survival inequalities exist between Blacks and Whites, suggesting differential access to treatment. [ABSTRACT FROM AUTHOR]

Published
2020
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45. Relative survival after diagnosis with a primary brain or other central nervous system tumor in the National Program of Cancer Registries, 2004 to 2014.

Author

Ostrom, Quinn T, Truitt, Gabrielle, Gittleman, Haley, Brat, Daniel J, Kruchko, Carol, Wilson, Reda, and Barnholtz-Sloan, Jill S

Subjects
CENTRAL nervous system tumors, BRAIN tumors, PROGRESSION-free survival, MEDICAL registries
Abstract

Background The majority of reported cancer survival statistics in the United States are generated using the National Cancer Institute's publicly available Surveillance, Epidemiology, and End Results (SEER) data, which prior to 2019 represented 28% of the US population (now 37%). In the case of rare cancers or special subpopulations, data sets based on a larger portion of the US population may contribute new insights into these low-incidence cancers. The purpose of this study is to characterize the histology-specific survival patterns for all primary malignant and nonmalignant primary brain tumors in the United States using the Centers for Disease Control and Prevention's National Program of Cancer Registries (NPCR). Methods Survival data were obtained from the NPCR (includes data from 39 state cancer registries, representing 81% of the US population). Relative survival rates (RS) with 95% CI were generated using SEER*Stat 8.3.5 from 2004 to 2014 by behavior, histology, sex, race/ethnicity, and age at diagnosis. Results Overall, there were 488 314 cases from 2004 to 2014. Overall 5-year RS was 69.8% (95% CI = 69.6%-69.9%). Five-year RS was 35.9% (95% CI = 35.6%-36.1%) for malignant and 90.2% (95% CI = 90.1%-90.4%) for nonmalignant tumors. Pilocytic astrocytoma had the longest 5-year RS (94.2%, 95% CI = 93.6%-94.6%) of all glioma subtypes, whereas glioblastoma had the shortest 5-year RS (6.1%, 95% CI = 6.0%-6.3%). Nonmalignant nerve sheath tumors had the longest 5-year RS (99.3%, 95% CI = 99.1%-99.4%). Younger age and female sex were associated with increased survival for many histologies. Conclusions Survival after diagnosis with primary brain tumor varies by behavior, histology, and age. Using such a database that includes more than 80% of the US population may represent national survival patterns. [ABSTRACT FROM AUTHOR]

Published
2020
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48. Development of National Program of Cancer Registries SAS Tool for Population-Based Cancer Relative Survival Analysis

Author

Dong, Xing, Zhang, Kevin, Ren, Yuan, Wilson, Reda, and O’Neil, Mary Elizabeth

Subjects
Data Collection, Incidence, Neoplasms, Population Surveillance, Humans, Registries, Centers for Disease Control and Prevention, U.S, Survival Analysis, Article, United States, SEER Program
Abstract

Studying population-based cancer survival by leveraging the high-quality cancer incidence data collected by the Centers for Disease Control and Prevention's National Program of Cancer Registries (NPCR) can offer valuable insight into the cancer burden and impact in the United States. We describe the development and validation of a SASmacro tool that calculates population-based cancer site-specific relative survival estimates comparable to those obtained through SEER*Stat.The NPCR relative survival analysis SAS tool (NPCR SAS tool) was developed based on the relative survival method and SAS macros developed by Paul Dickman. NPCR cancer incidence data from 25 states submitted in November 2012 were used, specifically cases diagnosed from 2003 to 2010 with follow-up through 2010. Decennial and annual complete life tables published by the National Center for Health Statistics (NCHS) for 2000 through 2009 were used. To assess comparability between the 2 tools, 5-year relative survival rates were calculated for 25 cancer sites by sex, race, and age group using the NPCR SAS tool and the National Cancer Institute's SEER*Stat 8.1.5 software. A module to create data files for SEER*Stat was also developed for the NPCR SAS tool.Comparison of the results produced by both SAS and SEER*Stat showed comparable and reliable relative survival estimates for NPCR data. For a majority of the sites, the net differences between the NPCR SAS tool and SEER*Stat-produced relative survival estimates ranged from -0.1% to 0.1%. The estimated standard errors were highly comparable between the 2 tools as well.The NPCR SAS tool will allow researchers to accurately estimate cancer 5-year relative survival estimates that are comparable to those produced by SEER*Stat for NPCR data. Comparison of output from the NPCR SAS tool and SEER*Stat provided additional quality control capabilities for evaluating data prior to producing NPCR relative survival estimates.

Published
2016

49. Invasive cancer incidence--Puerto Rico, 2007-2011

Author

O'Neil, Mary Elizabeth, Henley, S. Jane, Singh, Simple D., Wilson, Reda J., Ortiz-Ortiz, Karen J., Rios, Naydi Perez, Cintron, Carlos R. Torres, Luna, Guillermo Tortolero, Zegarra, Diego E. Zavala, and Ryerson, A. Blythe

Subjects
United States. Centers for Disease Control and Prevention -- Reports, Cancer -- Reports -- Health aspects, Health, North American Association of Central Cancer Registries Inc. -- Reports
Abstract

Cancer is a leading cause of morbidity and death in Puerto Rico (1). To set a baseline for identifying new trends and patterns of cancer incidence, Puerto Rico Central Cancer [...]

Published
2015

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