Search

Your search keyword '"Zhao, De ‐ Li"' showing total 37 results
Start Over Author "Zhao, De ‐ Li"
37 results on '"Zhao, De ‐ Li"'

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

Author

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

Published
2022
Full Text
View/download PDF

3. Microstructure evolution and flow stress modeling of SA508Gr.4N steel during hot deformation process

Author

QIAO Shi-bin, HE Xi-kou, LIU Jing-jie, ZHAO De-li, and LIU Zheng-dong

Subjects
sa508gr.4n steel, hot deformation, dynamic recrystallization, flow stress, grain size, Materials of engineering and construction. Mechanics of materials, TA401-492
Abstract

The isothermal deformation behavior of Ni-Cr-Mo low alloy SA508Gr.4N steel at deformation temperature of 850-1200 ℃, strain rate of 0.001-1 s-1, and true strain of 0.9 was studied by using Gleeble-1500D thermal simulation testing machine.The physically based flow stress model including dynamic recovery and dynamic recrystallization and the dynamic recrystallization grain size model were established,and the suitable forging process to avoid the coarse grain structure heredities was put forward.The results show that as the deformation temperature increases and the strain rate decreases, the dynamic recrystallization volume fraction and grain size gradually increase; the true stress-true strain curve of SA508Gr.4N steel has an obvious discontinuous dynamic recrystallization phenomenon;by comparing the experimental value with the predicted value of the model, the correlation coefficient (R) and mean relative error (MRE) of the flow stress model are 0.998 and 4.76%, respectively, and the correlation coefficient (R) and mean relative error (MRE) of the dynamic recrystallization grain size model are 0.991 and 8.69%, respectively. The two models have high accuracy.

Published
2021
Full Text
View/download PDF

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
Full Text
View/download PDF

13. Esophageal Histological Precursor Lesions and Subsequent 8.5-Year Cancer Risk in a Population-Based Prospective Study in China

Author

Wei, Wen-Qiang, primary, Hao, Chang-Qing, additional, Guan, Chen-Tao, additional, Song, Guo-Hui, additional, Wang, Meng, additional, Zhao, De-Li, additional, Li, Bian-Yun, additional, Bai, Wen-Long, additional, Hou, Pei-Yong, additional, Wang, Jin-Wu, additional, Jin, Guo-Liang, additional, Lei, Fu-Hua, additional, Li, Xin-Qing, additional, Xue, Li-Yan, additional, Wang, Guo-Qing, additional, Abnet, Christian C., additional, Taylor, Philip R., additional, Dawsey, Sanford M., additional, and Qiao, You-Lin, additional

Published
2020
Full Text
View/download PDF

15. Hot deformation behavior of a Nb-containing 316LN stainless steel

Author

Wang Bao-zhong, Sun Shuhua, Fu Wantang, Wang Zhenhua, Zhao De-li, and Zhang Wen-hui

Subjects
Materials science, Deformation mechanism, Metallurgy, Dynamic recrystallization, Grain boundary, Work hardening, Deformation (meteorology), Composite material, Strain rate, Flow stress, Grain size
Abstract

A Nb-containing 316LN stainless steel was compressed in the temperature range 900–1200 °C and strain rate range 0.01–10 s−1. The mechanical behavior has been characterized using stress–strain curve analysis, kinetic analysis, processing maps, etc. The microstructural evolution was observed and the mechanism of flow instability was discussed. It was found that the work hardening rate and flow stress decreased with increasing deformation temperature and decreasing strain rate. On the contrary, the efficiency of power dissipation increased with them; Flow instability was manifested as cracking and flow localization; The hot deformation equation and the relationships between deformation condition and dynamic recrystallization grain size and fraction were obtained; For Nb-containing 316LN stainless steel, the favorite nucleation sites for dynamic recrystallization are in sequence of triple point, grain boundary, twin boundary and intragranular deformation band; The suggested processing window is given.

Published
2011
Full Text
View/download PDF

22. Development of Profile Forging for Channel Head of Ap/Acp Steam Generator

Author

Liu Ying, Zhao De-li, Liu Kai-quan, Guo Yi, Zhao Ling-ling, and Wang Bao-zhong

Subjects
Engineering drawing, Engineering, Toughness, Hydraulic press, business.product_category, business.industry, Nozzle, Boiler (power generation), Mechanical engineering, Forging, law.invention, law, Nuclear power plant, Die (manufacturing), business
Abstract

The AP/CAP Steam Generator has the most complex structure in current nuclear power plant forgings. In order to improve material utilization and nozzle Properties, China First Heavy Industries (CFHI) have carried out the study on profile and blocker-type forging for Channel Head. The numerical and physical Simulations verify that the channel head can be forged step by step in profiling dies with 100~150MN hydraulic press. The achievement has been applied firstly in the AP1000 project of Xian Ning 1#. On this basis, the optimizations of forging process and die structure have been completed. Through process optimizations above, the nozzles of different shapes have obtained uniform deformation and the full-size channel head forging (Including main forging and samples) of CAP1400 steam generator has been manufactured successfully. And the mechanical properties indicate that the toughness has been improved obviously and the gas content has been reduced effectively in nozzle regions.

Published
2014
Full Text
View/download PDF

23. Development of Mono-bloc Forging for CAP1400 Reactor Pressure Vessel

Author

Zhang Wen-hui, Zhao De-li, Liu Ying, Liu Kai-quan, and Wang Bao-zhong

Subjects
Materials science, business.industry, Pressurized water reactor, Nozzle, Mechanical engineering, Structural engineering, Welding, Flange, Pressure vessel, Forging, law.invention, law, Head (vessel), business, Reactor pressure vessel
Abstract

With the Development of Larger Output and Longer Plant Life for Advanced Pressurized Water Reactor Pressure Vessel (APWRPV), Larger and Mono-bloc Forgings must be Necessary. In the researching and manufacturing of CAP1400RPV forgings, China First Heavy Industries (CFHI) Manufactured Mono-bloc Upper Head with Quick-loc and Mono-bloc Lower Head (Combined Part of Transition Ring and Lower Head),reducing the welding process and the mechanical property deference comparing with the traditional manufacturing, Comparing with AP1000 forgings, not only Obtained better Mechanical Properties, but also Reduced Manufacturing cycle of RPV and Nondestructive in-service Inspection due to Elimination of Weld Seams. CHFI will Development Mono-bloc Nozzle Shell (Combined Part of Vessel Flange Nozzle Shell and Inlet/Outlet Nozzles) for Future APWRPV.

Published
2014
Full Text
View/download PDF

30. Evaluation of routine biopsies in endoscopic screening for esophagogastric junction cancer.

Author

Niu X, Wei WQ, Hao CQ, Song GH, Li J, Hua ZL, Li YW, Chang J, Wang XZ, Zhao DL, Wang GQ, Hsieh E, and Qiao YL

Subjects
Adult, Aged, Carcinoma in Situ epidemiology, Chi-Square Distribution, China epidemiology, Cross-Sectional Studies, Esophageal Neoplasms epidemiology, Female, Humans, Incidence, Logistic Models, Male, Middle Aged, Mucous Membrane pathology, Multivariate Analysis, Neoplasm Grading, Odds Ratio, Predictive Value of Tests, Stomach Neoplasms epidemiology, Unnecessary Procedures, Biopsy, Carcinoma in Situ pathology, Endoscopy, Digestive System, Esophageal Neoplasms pathology, Esophagogastric Junction pathology, Stomach Neoplasms pathology
Abstract

Aim: To explore whether routine biopsies at the high incidence spot of esophagogastric junction (EGJ) cancer are justified in endoscopic screening., Methods: This was a multicenter population-based study conducted in eight high-risk areas in China. A total of 37396 participants underwent endoscopic examination. Biopsies were obtained from visible mucosal abnormalities or from normal-appearing mucosa at the high incidence spot of esophagogastric junction cancer when no abnormality was detected. Specimens showing high-grade intraepithelial neoplasia (HIN) or higher grade lesions were deemed as pathologically "positive". The ratios of positive pathologic diagnosis between participants with abnormal and normal-appearing mucosa were compared using the Pearson χ(2) test. Odds ratios and 95% confidence intervals, adjusted for potential confounders, were calculated using logistic regression., Results: A total of 37520 individuals participated in this study and 37396 (99.7%) participants had full information and were suitable for analysis. During endoscopic examinations, 9.11% (3405/37396) participants were found to have visible mucosal lesions. Of the participants who had normal-appearing mucosa at the EGJ, only 0.28% (94/33991) were diagnosed with HIN or higher grade lesions, whereas 6.05% (206/3405) of participants with abnormalities at the EGJ had a positive pathologic result. After controlling for other variables, visible abnormal mucosa detected under endoscopy strongly predicted a positive pathologic result (OR = 32.51, 95%CI: 23.96-44.09). The proportion of participants with "positive" pathologic diagnoses increased as the total number of endoscopic examinations performed by the doctors increased (< 5000 cases vs 5000-10000 cases vs > 10000 cases, Z = -2.7207, P = 0.0065, Cochran Armiger trend test). The same trend was found between the proportion of participants with positive pathologic diagnoses and the total number of years the doctors performed endoscopy (< 5 years vs 5-10 years vs > 10 years, Z = -10.3222, P < 0.001, Cochran Armiger trend test)., Conclusion: Additional routine biopsies from the high incidence spot of EGJ cancer are of limited value and are unjustified.

Published
2014
Full Text
View/download PDF

31. [Analysis of mortality and years of life lost of malignant tumors among inhabitants in rural area of Feicheng city from 2000 to 2010].

Author

Zhao LH, Wei WQ, Ma HM, and Zhao DL

Subjects
Breast Neoplasms mortality, China epidemiology, Colorectal Neoplasms mortality, Esophageal Neoplasms mortality, Female, Humans, Lung Neoplasms mortality, Male, Rural Population, Life Expectancy trends, Neoplasms mortality
Abstract

Objective: To analyze the mortality trends and disease burden of malignant tumors in rural area of Feicheng city from 2000 to 2010, and to provide basic information for the prevention and treatment of malignant tumors in this area., Methods: The data of cancer mortality from 2000 to 2010 from Feicheng Cancer Registry database were checked. Mortality rate, standardized mortality rate, potential years of life Iost (PYLL), standardized potential years of life lost (SPYLL), average years of life lost (AYLL) and other indexes were calculated and analyzed. The trend of the standardized rates transformed by the natural logarithm over time was assessed by Prais-Winsten regression method in which the errors was assumed to follow a first-order autoregressive process. STATA 12.0 was used to analyze the data., Results: In average, the crude mortality rate was 199.67 per 100 000 (264.69 per 100 000 in males and 137.24 per 100 000 in females), and the standardized mortality rate was 157.00 per 100 000 (200.49 per 100 000 in males and 101.31 per 100 000 in females). There were no significant changes in the trends of all standardized rates. For males, the mortality rates of lung and colorectal cancers increased significantly, and for females, the rates of lung and breast cancers had increased trend while the rate of esophageal cancer showed a downward trend. There were no statistically significant changes in other main malignant tumors. During 2000 to 2010, the PYLL of malignant tumors in Feicheng was 183 685.0 person-years, and PYLL rate was 23.3 per 1000. The SPYLL was 153 091.0 person-years, SPYLL rate was 19.4 per 1000, and AYLL was 14.8 years., Conclusions: There are no obvious changes in the trends of standardized mortality rates in rural area of Feicheng over the past 11 years. For males, the mortality of lung cancer and colorectal cancer is increasing, and for females, the rates of lung and breast cancers have an increasing trend while the rate of esophageal cancer shows a decreasing trend. The prevention and control of digestive malignant tumors, lung cancer and breast cancer are getting seriously important and should be the focal point in this issue.

Published
2013

32. Population-based study of DNA image cytometry as screening method for esophageal cancer.

Author

Zhao L, Wei WQ, Zhao DL, Hao CQ, Lin DM, Pan QJ, Li XQ, Lei FH, Wang JW, Wang GQ, Shang Q, and Qiao YL

Subjects
Adult, Aged, China, Cytodiagnosis methods, Esophageal Neoplasms pathology, Female, Humans, Male, Middle Aged, Precancerous Conditions pathology, ROC Curve, Sensitivity and Specificity, DNA, Esophageal Neoplasms diagnosis, Esophageal Neoplasms genetics, Image Cytometry methods, Mass Screening methods, Precancerous Conditions diagnosis, Precancerous Conditions genetics
Abstract

Aim: To explore the DNA image cytometry (DNA-ICM) technique as a primary screening method for esophageal squamous precancerous lesions., Methods: This study was designed as a population-based screening study. A total of 582 local residents aged 40 years-69 years were recruited from Linzhou in Henan and Feicheng in Shandong. However, only 452 subjects had results of liquid-based cytology, DNA-ICM and pathology. The sensitivity and specificity of DNA-ICM were calculated and compared with liquid-based cytology in moderate dysplasia or worse., Results: Sensitivities of DNA-ICM ranging from at least 1 to 4 aneuploid cells were 90.91%, 86.36%, 79.55% and 77.27%, respectively, which were better than that of liquid-based cytology (75%). Specificities of DNA-ICM were 70.83%, 84.07%, 92.65% and 96.81%, but the specificity of liquid-based cytology was 91.91%. The sensitivity and specificity of a combination of liquid-based cytology and DNA-ICM were 84.09% and 85.78%, respectively., Conclusion: It is possible to use DNA-ICM technique as a primary screening method for esophageal squamous precancerous lesions.

Published
2012
Full Text
View/download PDF

33. [A population-based matched case-control study on the risk factors of gastric cardia cancer].

Author

Zhao DL, Chen WQ, Yu TT, He YT, Chen ZF, Wen DG, Sun XB, and Wang LN

Subjects
Aged, Alcohol Drinking, Body Mass Index, Case-Control Studies, China epidemiology, Diet adverse effects, Feeding Behavior, Female, Gastroesophageal Reflux complications, Humans, Life Style, Logistic Models, Male, Middle Aged, Odds Ratio, Risk Factors, Smoking, Stomach Neoplasms epidemiology, Surveys and Questionnaires, Cardia pathology, Stomach Neoplasms etiology
Abstract

Objective: To find the major risk factors associated with gastric cardia cancer., Methods: We selected five high incidence areas of esophageal cancer and gastric cancer which have cancer registration system, i.e. Cixian and Shexian of Hebei Province, Linxian of Henan Province, Feicheng of Shandong Province and Zhuanghe of Liaoning Province. Fifty newly diagnosed cases of cardiac cancer after January 1, 2008 were selected from each cancer registration database. A uniform questionnaire, which was fully consulted by experts, was used. Population-based 1:3 case-control study was conducted in those areas. The study recruited 250 cases of cardiac cancer and 750 matched controls, which were investigated with the uniform questionnaire. The data were statistically analyzed by fitting-conditional Logistic analysis., Results: Smoking, passive smoking, alcohol drinking, irregular meal, improper dining posture, heavy taste, dried food, pickled food, fried food, hot food, gastrointestinal history, gastroesophageal reflux disease (GERD) can increase the risk of cardiac cancer. To eat more bean and high BMI are protective factors of the single factor logistic analysis. Gastrointestinal history (OR = 42.899), dried food (OR = 5.932), irregular meal (OR = 4.911), hot food (OR = 4.144), pickled food (OR = 3.287), passive smoking (OR = 2.355), and GERD (OR = 1.930) can increase the risk of cardiac cancer, eat more bean (OR = 0.254) and BMI ≥ 25 (OR = 0.492) are protective factors of the mixture factors logistic analysis., Conclusions: Gastric cardia cancer is caused by environmental risk factors and genetic factors. Health education in high cardiac cancer incidence areas and primary prevention popularized into people's daily life will be beneficial to decreasing the incidence of gastric cardia cancer.

Published
2011

34. [Analysis of risk factors for upper gastrointestinal cancer in China: a multicentric population-based case-control study].

Author

Chen WQ, He YT, Sun XB, Wen DG, Chen ZF, and Zhao DL

Subjects
Case-Control Studies, China epidemiology, Esophageal Neoplasms epidemiology, Feeding Behavior, Gastrointestinal Neoplasms epidemiology, Humans, Life Style, Risk Factors, Stomach Neoplasms epidemiology, Surveys and Questionnaires, Esophageal Neoplasms etiology, Gastrointestinal Neoplasms etiology, Stomach Neoplasms etiology
Abstract

Objective: To explore the major risk factors for upper gastrointestinal cancer in high occurrence areas of esophageal and gastric cancer in China., Methods: Four high occurrence areas of esophageal cancer, namely Cixian and Shexian from Hebei province, Linxian from Henan province, Feicheng from Shandong province, and Zhuanghe from Liaoning province, which is a high occurrence area of gastric cancer, were selected for the study. The newly-diagnosed cases whose date of onset were after January 1st, 2009 were selected from the Cancer Registration Database in each district, and 751 cases diagnosed as cancers in lower segment of esophagus, cardiac and other subsite of stomach were randomly recruited. 2253 matched controls were selected to pair the cases at the ratio of 3:1. The relative information of the study objects were collected from the face-to-face interviews with trained staff by designed questionnaires, and the data was input by EpiData software. Statistic software SPSS 13.0 was applied to conduct both univariate and multivariate logistic regression analysis to evaluate odd ratios (OR) and 95% confident interval (CI)., Results: As univariate analysis shown, 66 objects in case group had irregular diet habit; while 90 in control group had (OR = 3.177; 95%CI: 2.127 - 4.745). A higher percentage in case group (83 objects) preferred fried food in comparison with only 214 in control group did (OR = 3.190; 95%CI: 2.061 - 4.927). 369 objects in case group, but only 119 in control group had history of gastrointestinal diseases (OR = 14.660; 95%CI: 11.342 - 18.948). 282 objects in case group had history of gastroesophageal reflux disease (GERD), which was much higher than the percentage in control group (432 objects), with OR = 3.137 (95%CI: 2.546 - 3.864). All the above factors could increase the risk for upper gastrointestinal cancer. 387 objects in case group and 1278 in control group reported they preferred fresh vegetables in daily diet, which was found to be a protective factor (OR = 0.609; 95%CI: 0.473 - 0.785). As multivariate analysis shown, history of gastrointestinal tract diseases (OR = 21.420; 95%CI: 15.484 - 29.632), irregular food diet (OR = 3.097; 95%CI: 1.740 - 5.514), pickled food (OR = 3.005; 95%CI: 1.873 - 4.819), and GERD (OR = 2.261; 95%CI: 1.673 - 3.057) were found to be risk factors for upper gastrointestinal cancer; while frequent fresh-vegetable diet was a protective factor (OR = 0.562; 95%CI: 0.396 - 0.800)., Conclusion: Irregular lifestyle and unhealthy diet habit could be the major risk factors for upper gastrointestinal cancers among the residents from high occurrence areas of esophageal cancer and gastric cancer in China.

Published
2011

35. Estimating the costs of esophageal cancer screening, early diagnosis and treatment in three high risk areas in China.

Author

Yang J, Wei WQ, Niu J, He YT, Liu ZC, Song GH, Zhao DL, Qiao YL, and Yang CX

Subjects
China, Cost-Benefit Analysis, Esophageal Neoplasms therapy, Humans, Mass Screening economics, Early Detection of Cancer economics, Esophageal Neoplasms diagnosis, Esophageal Neoplasms economics, Health Care Costs
Abstract

Background: The incidence and mortality of esophageal cancer (EC) in some rural areas with poor health resources in China are the highest around the world. In these areas, screening programs for EC are conducted for prevention and control. However, costs associated with esophageal cancer screening have not been characterized in detail. This study is aimed to estimate the screening, early diagnosis and treatment costs of EC using micro-costing methods, which could provide basic cost inputs for further systematic health economic evaluation., Materials and Methods: Micro-costing methods were adopted to collect data on quantity and unit cost of used resources. Data was obtained from face-to-face interview with medical staff, local hospitals' database, and experts' input. We used 80% capacity utilization and 3% discount rate to annualize capital investments, and all costs were adjusted to year 2008 using the gross domestic production deflator, and then converted from Chinese currency unit to international dollars (I$) using purchasing power parity., Results: Screening costs per case were around I$60. For severe dysplasia, carcinoma in situ and intramucosal carcinoma, the costs per capita of endoscopic mucosal resection were I$1292~I$1620, and around I$450 for argon plasma coagulation. For submucosal carcinoma (T1N0M0), and invasive carcinoma treated by esophagectomy, the treatment costs ranged from I$1485 to I$2171. The costs of treatment of invasive carcinoma were: I$497~I$685.2 for radiotherapy; I$4652~I$7966.15 for chemotherapy; I$1928~I$2805 for combination of esophagectomy and radiotherapy; I$6632~I$8082 for esophagectomy, radiotherapy and chemotherapy in combination., Conclusion: The cost analysis found screening, early diagnosis and treatment for EC could provide great cost savings. The results provide important information for further health economic evaluation, and to help the local policy makers on updating such screening program in high risk areas in China.

Published
2011

36. [The distribution of the pre-cancerous condition and pathological changes of esophageal cancer of the community residents in high-incidence area].

Author

Zhao DL, Li HQ, Ji P, Zhou RX, Lei FH, Diao YT, Li H, Yang YF, Zhou YZ, Wang Y, Yin C, and Fang XQ

Subjects
Adult, Age Distribution, Aged, China epidemiology, Community Health Services, Esophageal Neoplasms pathology, Esophageal Neoplasms prevention & control, Female, Humans, Incidence, Male, Mass Screening, Middle Aged, Precancerous Conditions pathology, Precancerous Conditions prevention & control, Preventive Health Services, Esophageal Neoplasms epidemiology, Precancerous Conditions epidemiology
Abstract

Objective: To observe the distribution of the pre-cancerous condition and pathological changes of esophageal cancer of the community residents in high-incidence area, and to provide etiological evidences for secondary prevention., Methods: An iodine-staining endoscope census was conducted in 9536 residents with high-risk factors at Feicheng, a high esophageal cancer incidence community in Shandong province. Of which, 1507 pathologic biopsies were performed and chi2 test administrated., Results: There was no statistical significance found in biopsy pathologic diagnosis between females and males among 1507 samples. The mild and medium atypical hyperplasia was taken as pre-cancerous condition and severe atypical hyperplasia was taken as pre-cancerous lesion. Taking all the population attending census as denominator, the detection rate of the precancerous state and precancerous lesion were 6.98% (294/4214) and 1.23% (52/4214) for the males, and 3.68% (196/5322) and 0.47% (25/5322) for the females, respectively. A statistical significance was observed when comparing males with females (chi2 were 52.349 and 15.267, respectively, P < 0.05). Analyzed by age group, severe atypical hyperplasia pathological changes were mainly distributed in the age group of 50- and 65-. The constituent ratio between 45 - and 50 - was the highest for CIS. Early carcinoma was mainly distributed in five age groups from 45- to 65-. It showed that high incidence town had a high detection rate of cancer and pathological changes of esophageal cancer in the analysis of urban and rural distribution., Conclusion: The distribution of the pre-cancerous state and pathological changes of esophageal cancer of the residents should have provided a scientific basis for the primary and secondary prevention.

Published
2008

37. [The risk factors related to esophageal squamous cell cancer in Feicheng county, China].

Author

Li HQ, Diao YT, Li H, Zhou YZ, Yang YF, Fang XQ, Wang Y, Wu K, Zhao DL, Zhou RX, and Lei FH

Subjects
Adult, Aged, Carcinoma, Squamous Cell epidemiology, Case-Control Studies, China epidemiology, Esophageal Neoplasms epidemiology, Female, Humans, Male, Middle Aged, Risk Factors, Surveys and Questionnaires, Carcinoma, Squamous Cell etiology, Esophageal Neoplasms etiology
Abstract

Objective: To investigate the risk factors related to the esophageal squamous cell cancer in Feicheng county in Shandong province., Methods: A case-control study was carried out in Feicheng county. There were two parts consisted in the cases. 253 cases, aged from 40 to 69 years old, were recruited from the screened endoscopic survey program from January 2004 to December 2006. The other part of cases was recruited from the people's Hospital of Feicheng city. 8159 subjects whose had normal endoscope test result were recruited as the control group. Besides cardiograph and ventral ultrasound examination the screening program also included an endoscope test during which mucosal stain with 1.2% iodine solution. The biopsies were taken from the screen and underwent pathologic evaluation by two pathologists; A self-administrative questionnaire survey was conducted in all the subjects to collect information about smoking, alcohol consumption and dietary. The binary Logistic regression was used to estimate odds ratio (OR) and 95% confidence interval (95% CI). The study protocol was approved by the local ethics committee and the study was conducted with the informed consents of all the study subjects., Results: There were 235 esophageal cancers cases (70 identified in screening program, 183 were hospitalized patients) and 8159 controls in the case-control study. Three potential confounders were detected after univariate analysis. After adjusted the three confounders, age, sex and education, we found, smoking, alcohol drinking were the top ranked risk factors for esophageal cancer. When combing smoking and alcohol drinking, the or was 2.73 (95% CI: 1.54 - 4.82) for male, and the proportional attribute relative risk was 51.47%. We also observed that more dietary cellulose and vitamin C intake have protective effects., Conclusion: Smoking and alcohol drinking could increase the risk of esophageal cancer, and taking more dietary cellulose and vitamin C might decrease the risk.

Published
2007

Catalog

Books, media, physical & digital resources
See catalog results