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1. Excessive Media Consumption About COVID-19 is Associated With Increased State Anxiety: Outcomes of a Large Online Survey in Russia

Author

Nekliudov, Nikita A, Blyuss, Oleg, Cheung, Ka Yan, Petrou, Loukia, Genuneit, Jon, Sushentsev, Nikita, Levadnaya, Anna, Comberiati, Pasquale, Warner, John O, Tudor-Williams, Gareth, Teufel, Martin, Greenhawt, Matthew, DunnGalvin, Audrey, and Munblit, Daniel

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe COVID-19 pandemic has potentially had a negative impact on the mental health and well-being of individuals and families. Anxiety levels and risk factors within particular populations are poorly described. ObjectiveThis study aims to evaluate confidence, understanding, trust, concerns, and levels of anxiety during the COVID-19 pandemic in the general population and assess risk factors for increased anxiety. MethodsWe launched a cross-sectional online survey of a large Russian population between April 6 and 15, 2020, using multiple social media platforms. A set of questions targeted confidence, understanding, trust, and concerns in respondents. The State-Trait Anxiety Inventory was used to measure anxiety. Multiple linear regressions were used to model predictors of COVID-19–related anxiety. ResultsThe survey was completed by 23,756 out of 53,966 (44.0% response rate) unique visitors; of which, 21,364 were residing in 62 areas of Russia. State Anxiety Scale (S-Anxiety) scores were higher than Trait Anxiety Scale scores across all regions of Russia (median S-Anxiety score 52, IQR 44-60), exceeding published norms. Time spent following news on COVID-19 was strongly associated with an increased S-Anxiety adjusted for baseline anxiety level. One to two hours spent reading COVID-19 news was associated with a 5.46 (95% CI 5.03-5.90) point difference, 2-3 hours with a 7.06 (95% CI 6.37-7.74) point difference, and more than three hours with an 8.65 (95% CI 7.82-9.47) point difference, all compared to less than 30 minutes per day. Job loss during the pandemic was another important factor associated with higher S-Anxiety scores (3.95, 95% CI 3.31-4.58). Despite survey respondents reporting high confidence in information regarding COVID-19 as well as an understanding of health care guidance, they reported low overall trust in state and local authorities, and perception of country readiness. ConclusionsAmong Russian respondents from multiple social media platforms, there was evidence of higher levels of state anxiety associated with recent job loss and increased news consumption, as well as lower than expected trust in government agencies. These findings can help inform the development of key public health messages to help reduce anxiety and raise perceived trust in governmental response to this current national emergency. Using a similar methodology, comparative surveys are ongoing in other national populations.

Published
2020
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3. Short-term and medium-term clinical outcomes of multisystem inflammatory syndrome in children: a prospective observational cohort study

Author

Glazyrina, Anastasia, Zholobova, Elena, Iakovleva, Ekaterina, Bobkova, Polina, Krasnaya, Ekaterina, Kovygina, Karina, Romanova, Olga, Blyuss, Oleg, Tutelman, Konstantin, Petrova, Polina, Bairashevskaia, Anastasiia, Rumyantsev, Mikhail, Korsunskiy, Anatoliy A., Kondrikova, Elena, Nargizyan, Anzhelika, Yusupova, Valeriya, Korobyants, Evgeniya, Sologub, Anna, Kurbanova, Seda, Suvorov, Aleksandr, Sigfrid, Louise, Buonsenso, Danilo, Peroni, Diego G., McArdle, Andrew James, Comberiati, Pasquale, and Munblit, Daniel

Published
2024
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4. Immunoglobulin, glucocorticoid, or combination therapy for multisystem inflammatory syndrome in children: a propensity-weighted cohort study

Author

Channon-Wells, Samuel, Vito, Ortensia, McArdle, Andrew J, Seaby, Eleanor G, Patel, Harsita, Shah, Priyen, Pazukhina, Ekaterina, Wilson, Clare, Broderick, Claire, D'Souza, Giselle, Keren, Ilana, Nijman, Ruud G, Tremoulet, Adriana, Munblit, Daniel, Ulloa-Gutierrez, Rolando, Carter, Michael J, Ramnarayan, Padmanabhan, De, Tisham, Hoggart, Clive, Whittaker, Elizabeth, Herberg, Jethro A, Kaforou, Myrsini, Cunnington, Aubrey J, Blyuss, Oleg, Levin, Michael, consortium, Best Available Treatment Study, Chouli, Mohamed, Hamadouche, Nacera, Ladj, Mohamed Samir, Vázquez, Jorge Agrimbau, Carmona, Rodrigo, Collia, Adrian Gustavo, Ellis, Alejandro, Natta, Diego, Pérez, Laura, Rubiños, Mayra, Veliz, Natalia, Yori, Silvana, Britton, Philip N, Burgner, David P, Carey, Emma, Crawford, Nigel W, Giuliano, Hayley, McMinn, Alissa, Wong, Shirley, Wood, Nicholas, Holter, Wolfgang, Krainz, Matthias, Ulreich, Raphael, Zurl, Christoph, Dehoorne, Joke, Haerynck, Filomeen, Hoste, Levi, Schelstraete, Petra, Vandekerckhove, Kristof, Willems, Jef, Farias, Camila Giuliana Almeida, Almeida, Flávia Jacqueline, Leal, Izabel Alves, da Silva, André Ricardo Araujo, Araujo e Silva, Anna Esther, Barreiro, Sabrina TA, da Silva, Daniella Gregória Bomfim Prado, Cervi, Maria Celia, dos Santos Naja Cardoso, Mirian Viviane, Teixeira, Cristiane Henriques, Jarovsky, Daniel, Araujo, Julienne Martins, Berezin, Eitan Naaman, Sáfadi, Marco Aurélio Palazzi, la Ossa, Rolando Andres Paternina-de, Vieira, Cristina Souza, Dimitrova, Anna, Ganeva, Margarita, Stefanov, Stefan, Telcharova-Mihaylovska, Albena, Biggs, Catherine M, Lopez, Alison, Scuccimarri, Rosie, Tan, Ryan, Wasserman, Sam, Withington, Davinia, Ampuero, Camila, Aravena, Javiera, B, Raul Bustos, Casanova, Daniel, Cruces, Pablo, Diaz, Franco, García-Salum, Tamara, Godoy, Loreto, Medina, Rafael A, Galaz, Gonzalo Valenzuela, Camacho-Moreno, Germán, Avila-Aguero, María L, Brenes-Chacón, Helena, Camacho-Badilla, Kattia, Ivankovich-Escoto, Gabriela, Naranjo-Zuniga, Gabriela, and Soriano-Fallas, Alejandra

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Comparative Effectiveness Research, Clinical Research, 6.1 Pharmaceuticals, Evaluation of treatments and therapeutic interventions, Best Available Treatment Study (BATS) consortium, Clinical sciences
Abstract

BackgroundMultisystem inflammatory syndrome in children (MIS-C), a hyperinflammatory condition associated with SARS-CoV-2 infection, has emerged as a serious illness in children worldwide. Immunoglobulin or glucocorticoids, or both, are currently recommended treatments.MethodsThe Best Available Treatment Study evaluated immunomodulatory treatments for MIS-C in an international observational cohort. Analysis of the first 614 patients was previously reported. In this propensity-weighted cohort study, clinical and outcome data from children with suspected or proven MIS-C were collected onto a web-based Research Electronic Data Capture database. After excluding neonates and incomplete or duplicate records, inverse probability weighting was used to compare primary treatments with intravenous immunoglobulin, intravenous immunoglobulin plus glucocorticoids, or glucocorticoids alone, using intravenous immunoglobulin as the reference treatment. Primary outcomes were a composite of inotropic or ventilator support from the second day after treatment initiation, or death, and time to improvement on an ordinal clinical severity scale. Secondary outcomes included treatment escalation, clinical deterioration, fever, and coronary artery aneurysm occurrence and resolution. This study is registered with the ISRCTN registry, ISRCTN69546370.FindingsWe enrolled 2101 children (aged 0 months to 19 years) with clinically diagnosed MIS-C from 39 countries between June 14, 2020, and April 25, 2022, and, following exclusions, 2009 patients were included for analysis (median age 8·0 years [IQR 4·2-11·4], 1191 [59·3%] male and 818 [40·7%] female, and 825 [41·1%] White). 680 (33·8%) patients received primary treatment with intravenous immunoglobulin, 698 (34·7%) with intravenous immunoglobulin plus glucocorticoids, 487 (24·2%) with glucocorticoids alone; 59 (2·9%) patients received other combinations, including biologicals, and 85 (4·2%) patients received no immunomodulators. There were no significant differences between treatments for primary outcomes for the 1586 patients with complete baseline and outcome data that were considered for primary analysis. Adjusted odds ratios for ventilation, inotropic support, or death were 1·09 (95% CI 0·75-1·58; corrected p value=1·00) for intravenous immunoglobulin plus glucocorticoids and 0·93 (0·58-1·47; corrected p value=1·00) for glucocorticoids alone, versus intravenous immunoglobulin alone. Adjusted average hazard ratios for time to improvement were 1·04 (95% CI 0·91-1·20; corrected p value=1·00) for intravenous immunoglobulin plus glucocorticoids, and 0·84 (0·70-1·00; corrected p value=0·22) for glucocorticoids alone, versus intravenous immunoglobulin alone. Treatment escalation was less frequent for intravenous immunoglobulin plus glucocorticoids (OR 0·15 [95% CI 0·11-0·20]; p

Published
2023

9. Immunoglobulin, glucocorticoid, or combination therapy for multisystem inflammatory syndrome in children: a propensity-weighted cohort study

Author

Chouli, Mohamed, Hamadouche, Nacera, Ladj, Mohamed Samir, Agrimbau Vázquez, Jorge, Carmona, Rodrigo, Collia, Adrian Gustavo, Ellis, Alejandro, Natta, Diego, Pérez, Laura, Rubiños, Mayra, Veliz, Natalia, Yori, Silvana, Britton, Philip N., Burgner, David P., Carey, Emma, Crawford, Nigel W., Giuliano, Hayley, McMinn, Alissa, Wong, Shirley, Wood, Nicholas, Holter, Wolfgang, Krainz, Matthias, Ulreich, Raphael, Zurl, Christoph, Dehoorne, Joke, Haerynck, Filomeen, Hoste, Levi, Schelstraete, Petra, Vandekerckhove, Kristof, Willems, Jef, Almeida Farias, Camila Giuliana, Almeida, Flávia Jacqueline, Alves Leal, Izabel, Araujo da Silva, André Ricardo, Araujo e Silva, Anna Esther, Barreiro, Sabrina T.A., Bomfim Prado da Silva, Daniella Gregória, Cervi, Maria Celia, dos Santos Naja Cardoso, Mirian Viviane, Henriques Teixeira, Cristiane, Jarovsky, Daniel, Martins Araujo, Julienne, Naaman Berezin, Eitan, Palazzi Sáfadi, Marco Aurélio, Paternina-de la Ossa, Rolando Andres, Souza Vieira, Cristina, Dimitrova, Anna, Ganeva, Margarita, Stefanov, Stefan, Telcharova-Mihaylovska, Albena, Biggs, Catherine M., Lopez, Alison, Scuccimarri, Rosie, Tan, Ryan, Wasserman, Sam, Withington, Davinia, Ampuero, Camila, Aravena, Javiera, Bustos B, Raul, Casanova, Daniel, Cruces, Pablo, Diaz, Franco, García-Salum, Tamara, Godoy, Loreto, Medina, Rafael A., Valenzuela Galaz, Gonzalo, Camacho-Moreno, Germán, Avila-Aguero, María L., Brenes-Chacón, Helena, Camacho-Badilla, Kattia, Ivankovich-Escoto, Gabriela, Naranjo-Zuniga, Gabriela, Soriano-Fallas, Alejandra, Ulloa-Gutierrez, Rolando, Yock-Corrales, Adriana, Amer, Maysa Abbas, Abdelmeguid, Yasmine, Ahmed, Yomna H.H.Z., Badib, Adham, Badreldin, Karim, Elkhashab, Yara, Heshmat, Hassan, Hussein, Amna, Mohamed Hussein, Amna Hussein, Ibrahim, Sandra, Shoman, Walaa, Yakout, Radwa M, Heinonen, Santtu, Angoulvant, François, Belot, Alexandre, Ouldali, Naïm, Beske, Florian, Heep, Axel, Masjosthusmann, Katja, Reiter, Karl, van den Heuvel, Ingeborg, von Both, Ulrich, Agrafiotou, Aikaterini, Antachopoulos, Charalampos, Charisi, Konstantina, Eleftheriou, Irini, Farmaki, Evangelia, Fotis, Lampros, Kafetzis, Dimitrios, Koletsi, Patra, Kourtesi, Katerina, Lampidi, Stavroula, Liakopoulou, Theodota, Maritsi, Despoina, Michailidou, Elisa, Milioudi, Maria, Mparmpounaki, Ioanna, Papadimitriou, Eleni, Papaevangelou, Vassiliki, Roilides, Emmanuel, Tsiatsiou, Olga, Tsolas, Georgios, Tsolia, Maria, Vantsi, Petrina, Banegas Pineda, Linda Yajeira, Borjas Aguilar, Karla Leversia, Cantillano Quintero, Edwin Mauricio, Ip, Patrick, Kwan, Mike Yat Wah, Kwok, Janette, Lau, Yu Lung, To, Kelvin, Wong, Joshua Sung Chih, David, Mate, Farkas, David, Kalcakosz, Szofia, Szekeres, Klaudia, Zsigmond, Borbala, Aslam, Nadeem, Luder, Anthony, Andreozzi, Laura, Bianco, Francesco, Bucciarelli, Valentina, Buonsenso, Danilo, Cimaz, Rolando, De Luca, Maia, Dellepiane, Rosa Maria, Fabi, Marianna, Filice, Emanuele, Lanari, Marcello, Lo Vecchio, Andrea, Mastrolia, Maria Vincenza, Mauro, Angela, Mazza, Angelo, Papa, Mario Virgilio, Romani, Lorenza, Scarano, Sara Maria, Simonini, Gabriele, Tipo, Vincenzo, Verdoni, Lucio, Macharia, Anne-Marie, Musiime, Grace, Reel, Bhupi, Wangai, Frederick, Pace, David, Torpiano, Paul, Anaya-Enriquez, Nancy, Carreon-Guerrero, Juan Manuel, Chacon-Cruz, Enrique, Cheung López, Mariana, Faugier Fuentes, Enrique, Fonseca Flores, Marisol, García-Domínguez, Miguel, Giron Vargas, Ana Luisa, Lopez-Delgado, Ivan, Lopez Hernández, Liliana, Menchaca Aguayo, Hector F., Montaño-Duron, Jesus Gilberto, Pérez-Gaxiola, Giordano, Ramos Tiñini, Pamela, Tostado-Morales, Edgardo, Valadez, Julio, Inchley, Christopher, Klevberg, Sjur, Knudsen, Per Kristian, Måseide, Per Helge, Carrera, Jose Manuel, Castaño, Elizabeth, Daza Timana, Carlos Alberto, De Leon, Tirza, Estripeaut, Dora, Levy, Jacqueline, Norero, Ximena, Record, Javier, Rojas-Bonilla, Magda, Wong, Mayra, Iramain, Ricardo, Hernandez, Roger, Huamán, Gian, Munaico, Manuel, Peralta, Carlos, Seminario, Diego, Zapata Yarlequé, Elmer Hans, Gadzinska, Justyna, Ludwikowska, Kamila, Mandziuk, Joanna, Okarska-Napierała, Magdalena, Alacheva, Zalina A., Alexeeva, Ekaterina, Ananin, Petr V., Antsupova, Margarita, Bakradze, Maya D., Berbenyuk, Anna, Bobkova, Polina, Borzakova, Svetlana, Chashchina, Irina L., El-Taravi, Yasmin, Fisenko, Andrey P., Gautier, Marina S., Glazyrina, Anastasia, Gorlenko, Cyrill, Grosheva, Mariia, Kiselev, Herman, Kondrikova, Elena, Korobyants, Evgeniya, Korsunskiy, Anatoliy A., Kovygina, Karina, Krasnaya, Ekaterina, Kurbanova, Seda, Kurdup, Maria K., Mamutova, Anna V., Mazankova, Lyudmila, Mitushin, Ilya L., Munblit, Daniel, Nargizyan, Anzhelika, Orlova, Yanina O., Osmanov, Ismail M., Polyakova, Anastasia S., Pushkareva, Anna, Romanova, Olga, Samitova, Elmira, Shvedova, Anastasia, Sologub, Anna, Iakovleva, Ekaterina, Tepaev, Rustem F., Tkacheva, Anna A., Yegiyan, Margarita, Yusupova, Valeriya, Zholobova, Elena, Grasa, Carlos Daniel, Epalza, Cristina, Lopez Segura, Nuria, Martinon-Torres, Federico, Melendo, Susana, Mendez-Echevarria, Ana, Mesa Guzmán, Juan Miguel, Palacios Argueta, Jorge Roberto, Rivero-Calle, Irene, Rivière, Jacques, Rodríguez-González, Moisés, Rojo, Pablo, Sanchez Manubens, Judith, Soler-Palacin, Pere, Soriano-Arandes, Antoni, Tagarro, Alfredo, Villaverde, Serena, Altman, Maria, Brodin, Petter, Horne, AnnaCarin, Palmblad, Karin, Brotschi, Barbara, Meyer Sauteur, Patrick, Pachlopnik Schmid, Jana, Prader, Seraina, Relly, Christa, Schlapbach, Luregn J., Seiler, Michelle, Strasser, Sophie, Trück, Johannes, Weber, Kathrin, Wütz, Daniela, Hamdan, Alaa, Melhem, Ibrahim, Moussa, Ahmed, Dunk, Joke, Ketharanathan, Naomi, Vermont, Clementien, Akyüz Özkan, Esra, Cetin, Benhur Sirvan, Erdeniz, Emine Hafize, Şahin, Irfan Oğuz, Borisova, Galina, Boyarchuk, Oksana, Boychenko, Lidiya, Boyko, Yaryna, Diudenko, Nadiia, Dyvonyak, Olha, Kasiyan, Olexandr, Katerynych, Kostiantyn, Kostyuchenko, Larysa, Mamenko, Marina, Melnyk, Kateryna, Miagka, Nelia, Nazarenko, Liliya, Nezgoda, Iryna, Rykova, Stanislava, Svyst, Olga, Teslenko, Maria, Trykosh, Mykola, Vasilenko, Nataliya, Volokha, Alla, Adams, Charlotte, Akomolafe, Toju, Al-Abadi, Eslam, Alders, Nele, Alifieraki, Styliani, Ansumanu, Hareef, Aston, Emily, Avram, Paula, Bamford, Alasdair, Banks, Millie, Basu Roy, Robin, Beattie, Thomas, Boleti, Olga, Bracken, Abbey, Broad, Jonathan, Cai, James, Carrol, Enitan D., Carter, Michael, Chandran, Anchit, Charlesworth, James, Chawla, Jaya, Cooper, Hannah, Cooray, Samantha, Davies, Patrick, Davis, Francesca, Drysdale, Simon B., Dzora, Ella, Emonts, Marieke, Evans, Ceri, Fidler, Katy, Foster, Caroline, Gong, Chen, Gongrun, Berin, Gonzalez, Carmen, Gorgun, Berin, Grandjean, Louis, Grant, Karlie, Guo, Jonathan, Hacohen, Yael, Hall, Jack, Hamid, Hytham K.S., Hassell, Jane, Hesketh, Christine, Hewlett, Jessica, Hnieno, Ahmad, Holt-Davis, Hannah, Hossain, Aleena, Hu, Shiying, Hudson, Lee D., Jheeta, Sharon, Johnson, Mae, Johnson, Sarah, Jyothish, Deepthi, Kampmann, Beate, Kavirayani, Akhila, Kelly, Deborah, Kirubakaran, Arangan, Kucera, Filip, Langer, Daniel, Lawson, George, Lees, Emily A, Lenihan, Rebecca, Lillie, Jon, Longbottom, Katherine, Lyall, Hermione, Mackdermott, Niamh, Maltby, Sarah, Mclelland, Thomas, McMahon, Anne-Marie, Miller, Danielle, Miranda, Mariana, Mirza, Luwaiza, Morrison, Zoe, Moshal, Karyn, Muller, Jennifer, Musuka, Phoebe, Myttaraki, Evangelia, Nadel, Simon, Nair, Sreedevi, Nuttall, Luke, Oremakinde, Oyinkansola, Osaghae, Daniella, Osman, Fatima, Ostrzewska, Anna, Paccagnella, Davide, Panthula, Mrinalini, Papachatzi, Eleni, Papadopoulou, Charalampia, Patel, Fahim, Patel, Harsita, Payne, Helen, Penner, Justin, Polandi, Shervin, Prendergast, Andrew J., Ramnarayan, Padmanabhan, Ranasinghe, Lasith, Ravichandran, Muthukumaran, Rhys-Evans, Sophie, Riordan, Andrew, Rodrigues, Charlene M.C., Roe, Lauren, Romaine, Sam, Schobi, Nina, Seddon, James, Shingadia, Delane, Sikdar, Oishi, Srivastava, Anand, Struik, Siske, Sun, Thomas, Tan, Rachel Wei, Taylor, Alice, Taylor, Amanda, Taylor, Andrew, Tran, Steven, Tsagkaris, Stavros, Tudor-Williams, Gareth, van den Berg, Sarah, van der Velden, Fabian, Ventilacion, Lyn, Wellman, Paul A., Withers Green, Joseph, Yanney, Michael P., Yeung, Shunmay, Badheka, Aditya, Badran, Sarah, Bailey, Dwight M., Burch, Anna Kathryn, Burns, Jane C., Cichon, Catherine, Cirks, Blake, Dallman, Michael D., Delany, Dennis R., Fairchok, Mary, Friedman, Samantha, Geracht, Jennifer, Langs-Barlow, Allison, Mann, Kelly, Padhye, Amruta, Quade, Alexis, Ramirez, Kacy Alyne, Rockett, John, Sayed, Imran Ali, Santos, Roberto P., Shahin, Amr A., Tremoulet, Adriana, Umaru, Samuel, Widener, Rebecca, Mujuru, Hilda Angela, Kandawasvika, Gwendoline, Channon-Wells, Samuel, Vito, Ortensia, McArdle, Andrew J, Seaby, Eleanor G, Shah, Priyen, Pazukhina, Ekaterina, Wilson, Clare, Broderick, Claire, D'Souza, Giselle, Keren, Ilana, Nijman, Ruud G, Carter, Michael J, De, Tisham, Hoggart, Clive, Whittaker, Elizabeth, Herberg, Jethro A, Kaforou, Myrsini, Cunnington, Aubrey J, Blyuss, Oleg, and Levin, Michael

Published
2023
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11. The global burden of cancer attributable to risk factors, 2010–19: a systematic analysis for the Global Burden of Disease Study 2019

Author

Tran, Khanh Bao, Lang, Justin J, Compton, Kelly, Xu, Rixing, Acheson, Alistair R, Henrikson, Hannah Jacqueline, Kocarnik, Jonathan M, Penberthy, Louise, Aali, Amirali, Abbas, Qamar, Abbasi, Behzad, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed Abdelwahab, Abdoli, Gholamreza, Abdulkadir, Hanan Abdulkadir, Abedi, Aidin, Abegaz, Kedir Hussein, Abidi, Hassan, Aboagye, Richard Gyan, Abolhassani, Hassan, Absalan, Abdorrahim, Abtew, Yonas Derso, Abubaker Ali, Hiwa, Abu-Gharbieh, Eman, Achappa, Basavaprabhu, Acuna, Juan Manuel, Addison, Daniel, Addo, Isaac Yeboah, Adegboye, Oyelola A, Adesina, Miracle Ayomikun, Adnan, Mohammad, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afrin, Sumia, Afzal, Muhammad Sohail, Aggarwal, Manik, Ahinkorah, Bright Opoku, Ahmad, Araz Ramazan, Ahmad, Rizwan, Ahmad, Sajjad, Ahmad, Sohail, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Aiman, Wajeeha, Ajami, Marjan, Akalu, Gizachew Taddesse, Akbarzadeh-Khiavi, Mostafa, Aklilu, Addis, Akonde, Maxwell, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Alanezi, Fahad Mashhour, Alanzi, Turki M, Alessy, Saleh Ali, Algammal, Abdelazeem M, Al-Hanawi, Mohammed Khaled, Alhassan, Robert Kaba, Ali, Beriwan Abdulqadir, Ali, Liaqat, Ali, Syed Shujait, Alimohamadi, Yousef, Alipour, Vahid, Aljunid, Syed Mohamed, Alkhayyat, Motasem, Al-Maweri, Sadeq Ali Ali, Almustanyir, Sami, Alonso, Nivaldo, Alqalyoobi, Shehabaldin, Al-Raddadi, Rajaa M, Al-Rifai, Rami H Hani, Al-Sabah, Salman Khalifah, Al-Tammemi, Ala'a B, Altawalah, Haya, Alvis-Guzman, Nelson, Amare, Firehiwot, Ameyaw, Edward Kwabena, Aminian Dehkordi, Javad Javad, Amirzade-Iranaq, Mohammad Hosein, Amu, Hubert, Amusa, Ganiyu Adeniyi, Ancuceanu, Robert, Anderson, Jason A, Animut, Yaregal Animut, Anoushiravani, Amir, Anoushirvani, Ali Arash, Ansari-Moghaddam, Alireza, Ansha, Mustafa Geleto, Antony, Benny, Antwi, Maxwell Hubert, Anwar, Sumadi Lukman, Anwer, Razique, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Aremu, Olatunde, Argaw, Ayele Mamo, Ariffin, Hany, Aripov, Timur, Arshad, Muhammad, Artaman, Al, Arulappan, Judie, Aruleba, Raphael Taiwo, Aryannejad, Armin, Asaad, Malke, Asemahagn, Mulusew A, Asemi, Zatollah, Asghari-Jafarabadi, Mohammad, Ashraf, Tahira, Assadi, Reza, Athar, Mohammad, Athari, Seyyed Shamsadin, Atout, Maha Moh'd Wahbi, Attia, Sameh, Aujayeb, Avinash, Ausloos, Marcel, Avila-Burgos, Leticia, Awedew, Atalel Fentahun, Awoke, Mamaru Ayenew, Awoke, Tewachew, Ayala Quintanilla, Beatriz Paulina, Ayana, Tegegn Mulatu, Ayen, Solomon Shitu, Azadi, Davood, Azadnajafabad, Sina, Azami-Aghdash, Saber, Azanaw, Melkalem Mamuye, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azizi, Hosein, Azzam, Ahmed Y Y, Babajani, Amirhesam, Badar, Muhammad, Badiye, Ashish D, Baghcheghi, Nayereh, Bagheri, Nader, Bagherieh, Sara, Bahadory, Saeed, Baig, Atif Amin, Baker, Jennifer L, Bakhtiari, Ahad, Bakshi, Ravleen Kaur, Banach, Maciej, Banerjee, Indrajit, Bardhan, Mainak, Barone-Adesi, Francesco, Barra, Fabio, Barrow, Amadou, Bashir, Nasir Z, Bashiri, Azadeh, Basu, Saurav, Batiha, Abdul-Monim Mohammad, Begum, Aeysha, Bekele, Alehegn Bekele, Belay, Alemayehu Sayih, Belete, Melaku Ashagrie, Belgaumi, Uzma Iqbal, Bell, Arielle Wilder, Belo, Luis, Benzian, Habib, Berhie, Alemshet Yirga, Bermudez, Amiel Nazer C, Bernabe, Eduardo, Bhagavathula, Akshaya Srikanth, Bhala, Neeraj, Bhandari, Bharti Bhandari, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bhuyan, Soumitra S, Bibi, Sadia, Bilchut, Awraris Hailu, Bintoro, Bagas Suryo, Biondi, Antonio, Birega, Mesfin Geremaw Birega, Birhan, Habitu Eshetu, Bjørge, Tone, Blyuss, Oleg, Bodicha, Belay Boda Abule, Bolla, Srinivasa Rao, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Brauer, Michael, Brenner, Hermann, Briko, Andrey Nikolaevich, Briko, Nikolay Ivanovich, Buchanan, Christina Maree, Bulamu, Norma B, Bustamante-Teixeira, Maria Teresa, Butt, Muhammad Hammad, Butt, Nadeem Shafique, Butt, Zahid A, Caetano dos Santos, Florentino Luciano, Cámera, Luis Alberto, Cao, Chao, Cao, Yin, Carreras, Giulia, Carvalho, Márcia, Cembranel, Francieli, Cerin, Ester, Chakraborty, Promit Ananyo, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chirinos-Caceres, Jesus Lorenzo, Cho, Daniel Youngwhan, Cho, William C S, Christopher, Devasahayam J, Chu, Dinh-Toi, Chukwu, Isaac Sunday, Cohen, Aaron J, Conde, Joao, Cortés, Sandra, Costa, Vera Marisa, Cruz-Martins, Natália, Culbreth, Garland T, Dadras, Omid, Dagnaw, Fentaw Teshome, Dahlawi, Saad M A, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, Daneshpajouhnejad, Parnaz, Danielewicz, Anna, Dao, An Thi Minh, Darvishi Cheshmeh Soltani, Reza, Darwesh, Aso Mohammad, Das, Saswati, Davitoiu, Dragos Virgil, Davtalab Esmaeili, Elham, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dehghan, 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Omid, Shah, Pritik A, Shahabi, Saeed, Shahid, Izza, Shahrbaf, Mohammad Amin, Shahsavari, Hamid R, Shaikh, Masood Ali, Shaka, Mohammed Feyisso, Shaker, Elaheh, Shannawaz, Mohammed, Sharew, Mequannent Melaku Sharew, Sharifi, Azam, Sharifi-Rad, Javad, Sharma, Purva, Shashamo, Bereket Beyene, Sheikh, Aziz, Sheikh, Mahdi, Sheikhbahaei, Sara, Sheikhi, Rahim Ali, Sheikhy, Ali, Shepherd, Peter Robin, Shetty, Adithi, Shetty, Jeevan K, Shetty, Ranjitha S, Shibuya, Kenji, Shirkoohi, Reza, Shirzad-Aski, Hesamaddin, Shivakumar, K M, Shivalli, Siddharudha, Shivarov, Velizar, Shobeiri, Parnian, Shokri Varniab, Zahra, Shorofi, Seyed Afshin, Shrestha, Sunil, Sibhat, Migbar Mekonnen, Siddappa Malleshappa, Sudeep K, Sidemo, Negussie Boti, Silva, Diego Augusto Santos, Silva, Luís Manuel Lopes Rodrigues, Silva Julian, Guilherme, Silvestris, Nicola, Simegn, Wudneh, Singh, Achintya Dinesh, Singh, Ambrish, Singh, Garima, Singh, Harpreet, Singh, Jasvinder A, Singh, Jitendra Kumar, Singh, Paramdeep, Singh, 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Naohiro, Younis, Mustafa Z, Yousefi, Zabihollah, Yousefian, Fatemeh, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Nazar, Zaman, Burhan Abdullah, Zangiabadian, Moein, Zare, Fariba, Zare, Iman, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zeineddine, Mohammad A, Zhang, Dongyu, Zhang, Jianrong, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhou, Linghui, Zodpey, Sanjay, Zoladl, Mohammad, Vos, Theo, Hay, Simon I, Force, Lisa M, and Murray, Christopher J L

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2022
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17. A time-resolved proteomic and prognostic map of COVID-19

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Kleinschmidt, Malte, Heim, Katrin M., Millet, Belén, Meyer-Arndt, Lil, Hübner, Ralf H., Andermann, Tim, Doehn, Jan M., Opitz, Bastian, Sawitzki, Birgit, Grund, Daniel, Radünzel, Peter, Schürmann, Mariana, Zoller, Thomas, Alius, Florian, Knape, Philipp, Breitbart, Astrid, Li, Yaosi, Bremer, Felix, Pergantis, Panagiotis, Schürmann, Dirk, Temmesfeld-Wollbrück, Bettina, Wendisch, Daniel, Brumhard, Sophia, Haenel, Sascha S., Conrad, Claudia, Georg, Philipp, Eckardt, Kai-Uwe, Lehner, Lukas, Kruse, Jan M., Ferse, Carolin, Körner, Roland, Spies, Claudia, Edel, Andreas, Weber-Carstens, Steffen, Krannich, Alexander, Zvorc, Saskia, Li, Linna, Behrens, Uwe, Schmidt, Sein, Rönnefarth, Maria, Dang-Heine, Chantip, Röhle, Robert, Lieker, Emma, Kretzler, Lucie, Wirsching, Isabelle, Wollboldt, Christian, Wu, Yinan, Schwanitz, Georg, Hillus, David, Kasper, Stefanie, Olk, Nadine, Horn, Alexandra, Briesemeister, Dana, Treue, Denise, Hummel, Michael, Corman, Victor M., Drosten, Christian, von Kalle, Christof, Demichev, Vadim, Tober-Lau, Pinkus, Lemke, Oliver, Nazarenko, Tatiana, Thibeault, Charlotte, Whitwell, Harry, Röhl, Annika, Freiwald, Anja, Szyrwiel, Lukasz, Ludwig, Daniela, Correia-Melo, Clara, Aulakh, Simran Kaur, Helbig, Elisa T., Stubbemann, Paula, Lippert, Lena J., Grüning, Nana-Maria, Blyuss, Oleg, Vernardis, Spyros, White, Matthew, Messner, Christoph B., Joannidis, Michael, Sonnweber, Thomas, Klein, Sebastian J., Pizzini, Alex, Wohlfarter, Yvonne, Sahanic, Sabina, Hilbe, Richard, Schaefer, Benedikt, Wagner, Sonja, Mittermaier, Mirja, Machleidt, Felix, Garcia, Carmen, Ruwwe-Glösenkamp, Christoph, Lingscheid, Tilman, Bosquillon de Jarcy, Laure, Stegemann, Miriam S., Pfeiffer, Moritz, Jürgens, Linda, Denker, Sophy, Zickler, Daniel, Enghard, Philipp, Zelezniak, Aleksej, Campbell, Archie, Hayward, Caroline, Porteous, David J., Marioni, Riccardo E., Uhrig, Alexander, Müller-Redetzky, Holger, Zoller, Heinz, Löffler-Ragg, Judith, Keller, Markus A., Tancevski, Ivan, Timms, John F., Zaikin, Alexey, Hippenstiel, Stefan, Ramharter, Michael, Witzenrath, Martin, Suttorp, Norbert, Lilley, Kathryn, Mülleder, Michael, Sander, Leif Erik, Ralser, Markus, and Kurth, Florian

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2021
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19. Evaluation of urinary C-reactive protein as an early detection biomarker for pancreatic ductal adenocarcinoma.

Author

Ali, Nurshad, Debernardi, Silvana, Kurotova, Evelyn, Tajbakhsh, Jian, Gupta, Nirdesh K., Pandol, Stephen J., Wilson, Patrick, Pereira, Stephen P., Greenhalf, Bill, Blyuss, Oleg, and Crnogorac-Jurcevic, Tatjana

Subjects
PANCREATIC duct, BLOOD plasma, C-reactive protein, KRUSKAL-Wallis Test, PANCREATIC cancer
Abstract

Pancreatic ductal adenocarcinoma (PDAC) is one of the leading causes of cancer-related death worldwide. Up to now, no specific screening or diagnostic tests are available for early PDAC detection. As a result, most patients are diagnosed with advanced or metastatic disease, which leads to a poor prognosis. In this study, we aimed to evaluate the diagnostic value of urinary CRP (uCRP) alone and in combination with our previously established urine biomarker panel (REG1B, LYVE1 and TFF1) for early detection of PDAC. A total of 534 urine samples from multiple centres were analysed: 93 from healthy individuals, 265 from patients with benign hepatobiliary diseases and 176 from PDAC patients. The uCRP and the urinary biomarker panel were assessed using commercial ELISA assays, while plasma CA19-9 and blood CRP (bCRP) were measured using Roche Cobas platform. Multiple logistic regression and nonparametric Kruskal-Wallis test were used for statistical analysis. An internal validation approach was applied, and the validated AUC estimators were reported to ensure accuracy. A significant difference was observed in the medians of uCRP between healthy and benign controls and PDAC sample groups (p < 0.001). uCRP levels were not dependent on gender and age, as well as cancer stage. When uCRP was combined with the urinary biomarker panel, it achieved AUCs of 0.878 (95% CI: 0.802-0.931), 0.798 (95% CI: 0.738-0.859) and 0.813 (95% CI: 0.758-0.869) in healthy vs PDAC, benign vs PDAC and healthy and benign vs PDAC sample groups, respectively. However, adding plasma CA19-9 to the urinary biomarker panel yielded a better performance, with AUCs of 0.978 (95% CI: 0.959-0.996), 0.911 (95% CI: 0.873-0.949) and 0.919 (95% CI: 0.883-0.955) in the healthy vs PDAC, benign vs PDAC and healthy and benign vs PDAC comparisons, respectively. In conclusion, we show that measuring CRP in urine is a feasible analytical method, and that uCRP could potentially be a promising biomarker in various diseases including other cancer types. [ABSTRACT FROM AUTHOR]

Published
2024
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20. Identification of a serum proteomic biomarker panel using diagnosis specific ensemble learning and symptoms for early pancreatic cancer detection.

Author

Ney, Alexander, Nené, Nuno R., Sedlak, Eva, Acedo, Pilar, Blyuss, Oleg, Whitwell, Harry J., Costello, Eithne, Gentry-Maharaj, Aleksandra, Williams, Norman R., Menon, Usha, Fusai, Giuseppe K., Zaikin, Alexey, and Pereira, Stephen P.

Subjects
EARLY detection of cancer, BILIARY tract, PANCREATIC duct, SYMPTOMS, BIOMARKERS
Abstract

Background: The grim (<10% 5-year) survival rates for pancreatic ductal adenocarcinoma (PDAC) are attributed to its complex intrinsic biology and most often late-stage detection. The overlap of symptoms with benign gastrointestinal conditions in early stage further complicates timely detection. The suboptimal diagnostic performance of carbohydrate antigen (CA) 19–9 and elevation in benign hyperbilirubinaemia undermine its reliability, leaving a notable absence of accurate diagnostic biomarkers. Using a selected patient cohort with benign pancreatic and biliary tract conditions we aimed to develop a data analysis protocol leading to a biomarker signature capable of distinguishing patients with non-specific yet concerning clinical presentations, from those with PDAC. Methods: 539 patient serum samples collected under the Accelerated Diagnosis of neuro Endocrine and Pancreatic TumourS (ADEPTS) study (benign disease controls and PDACs) and the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS, healthy controls) were screened using the Olink Oncology II panel, supplemented with five in-house markers. 16 specialized base-learner classifiers were stacked to select and enhance biomarker performances and robustness in blinded samples. Each base-learner was constructed through cross-validation and recursive feature elimination in a discovery set comprising approximately two thirds of the ADEPTS and UKCTOCS samples and contrasted specific diagnosis with PDAC. Results: The signature which was developed using diagnosis-specific ensemble learning demonstrated predictive capabilities outperforming CA19-9, the only biomarker currently accepted by the FDA and the National Comprehensive Cancer Network guidelines for pancreatic cancer, and other individual biomarkers and combinations in both discovery and held-out validation sets. An AUC of 0.98 (95% CI 0.98–0.99) and sensitivity of 0.99 (95% CI 0.98–1) at 90% specificity was achieved with the ensemble method, which was significantly larger than the AUC of 0.79 (95% CI 0.66–0.91) and sensitivity 0.67 (95% CI 0.50–0.83), also at 90% specificity, for CA19-9, in the discovery set (p = 0.0016 and p = 0.00050, respectively). During ensemble signature validation in the held-out set, an AUC of 0.95 (95% CI 0.91–0.99), sensitivity 0.86 (95% CI 0.68–1), was attained compared to an AUC of 0.80 (95% CI 0.66–0.93), sensitivity 0.65 (95% CI 0.48–0.56) at 90% specificity for CA19-9 alone (p = 0.0082 and p = 0.024, respectively). When validated only on the benign disease controls and PDACs collected from ADEPTS, the diagnostic-specific signature achieved an AUC of 0.96 (95% CI 0.92–0.99), sensitivity 0.82 (95% CI 0.64–0.95) at 90% specificity, which was still significantly higher than the performance for CA19-9 taken as a single predictor, AUC of 0.79 (95% CI 0.64–0.93) and sensitivity of 0.18 (95% CI 0.03–0.69) (p = 0.013 and p = 0.0055, respectively). Conclusion: Our ensemble modelling technique outperformed CA19-9, individual biomarkers and indices developed with prevailing algorithms in distinguishing patients with non-specific but concerning symptoms from those with PDAC, with implications for improving its early detection in individuals at risk. Author summary: Pancreatic ductal adenocarcinoma (PDAC) has one of the lowest 5-year survival rates among cancers, primarily due to its complex biology and late-stage diagnosis. Early symptoms often mimic benign gastrointestinal conditions, complicating timely detection. The standard biomarker, carbohydrate antigen (CA) 19–9, is not reliable due to its suboptimal performance and elevation in benign conditions, highlighting the need for better diagnostic tools. In our study, we aimed to develop a biomarker signature to distinguish between benign pancreatic/biliary conditions and PDAC using serum samples from the Accelerated Diagnosis of neuro Endocrine and Pancreatic Tumours and UK Collaborative Trial of Ovarian Cancer Screening studies. We screened 539 patient serum samples with state-of-the-art biomarker panels and developed a robust predictive signature by applying specialized machine learning methods. This new signature significantly outperformed CA19-9 and other panels reported in the literature. Our findings suggest that this new biomarker signature can improve early detection of PDAC in patients with ambiguous clinical symptoms, potentially leading to better outcomes for those at risk. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Utility Scores for Risk-Reducing Mastectomy and Risk-Reducing Salpingo-Oophorectomy: Mapping to EQ-5D

Author

Oxley, Samuel G., primary, Wei, Xia, additional, Sideris, Michail, additional, Blyuss, Oleg, additional, Kalra, Ashwin, additional, Sia, Jacqueline J. Y., additional, Ganesan, Subhasheenee, additional, Fierheller, Caitlin T., additional, Sun, Li, additional, Sadique, Zia, additional, Jin, Haomiao, additional, Manchanda, Ranjit, additional, and Legood, Rosa, additional

Published
2024
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24. Effect of noise in intelligent cellular decision making

Author

Bates, Russell, Blyuss, Oleg, Alsaedi, Ahmed, and Zaikin, Alexey

Subjects
Quantitative Biology - Molecular Networks
Abstract

Similar to intelligent multicellular neural networks controlling human brains, even single cells surprisingly are able to make intelligent decisions to classify several external stimuli or to associate them. This happens because of the fact that gene regulatory networks can perform as perceptrons, simple intelligent schemes known from studies on Artificial Intelligence. We study the role of genetic noise in intelligent decision making at the genetic level and show that noise can play a constructive role helping cells to make a proper decision. We show this using the example of a simple genetic classifier able to classify two external stimuli.

Published
2014
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29. Patient decision aids in mainstreaming genetic testing for women with ovarian cancer: A prospective cohort study.

Author

Sobocan, Monika, Chandrasekaran, Dhivya, Sideris, Michail, Blyuss, Oleg, Fierheller, Caitlin, Kalra, Ashwin, Sia, Jacqueline, Miller, Rowan E., Mills‐Baldock, Tina, Crusz, Shanthini M., Sun, Li, Evans, Olivia, Robbani, Sadiyah, Jenkins, Lucy A., Ahmed, Munaza, Kumar, Ajith, Quigley, Mary, Lockley, Michelle, Faruqi, Asma, and Casey, Laura

Subjects
GENETIC testing, OVARIAN cancer, CANCER patients, ONCOLOGY, COHORT analysis, OLDER women, PSYCHO-oncology
Abstract

Objective: To evaluate patient preference for short (gist) or detailed/extensive decision aids (DA) for genetic testing at ovarian cancer (OC) diagnosis. Design: Cohort study set within recruitment to the Systematic Genetic Testing for Personalised Ovarian Cancer Therapy (SIGNPOST) study (ISRCTN: 16988857). Setting: North‐East London Cancer Network (NELCN) population. Population/Sample: Women with high‐grade non‐mucinous epithelial OC. Methods: A more detailed DA was developed using patient and stakeholder input following the principles/methodology of IPDAS (International Patients Decision Aids Standards). Unselected patients attending oncology clinics evaluated both a pre‐existing short and a new long DA version and then underwent mainstreaming genetic testing by a cancer clinician. Appropriate inferential descriptive and regression analyses were undertaken. Main outcome measures: Satisfaction, readability, understanding, emotional well‐being and preference for long/short DA. Results: The mean age of patients was 66 years (interquartile range 11), and 85% were White British ethnicity. Of the participants, 74% found DAs helpful/useful in decision‐making. Women reported higher levels of satisfaction (86% versus 58%, p < 0.001), right amount of information provided (76.79% versus49.12%, p < 0.001) and improved understanding (p < 0.001) with the long DA compared with the short DA. There was no statistically significant difference in emotional outcomes (feeling worried/concerned/reassured/upset) between 'short' and 'long' DA; 74% of patients preferred the long DA and 24% the short DA. Patients undergoing treatment (correlation coefficient (coef) = 0.603; 95% CI 0.165–1.041, p = 0.007), those with recurrence (coef = 0.493; 95% CI 0.065–0.92, p = 0.024) and older women (coef = 0.042; 95% CI 0.017–0.066, p = 0.001) preferred the short DA. Ethnicity did not affect outcomes or overall preference for long/short DA. Conclusions: A longer DA in OC patients has higher satisfaction without increasing emotional distress. Older women and those undergoing treatment/recurrence prefer less extensive information, whereas those in remission preferred a longer DA. [ABSTRACT FROM AUTHOR]

Published
2024
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30. Using a Recurrent Neural Network To Inform the Use of Prostate-specific Antigen (PSA) and PSA Density for Dynamic Monitoring of the Risk of Prostate Cancer Progression on Active Surveillance

Author

Sushentsev, Nikita, Abrego, Luis, Colarieti, Anna, Sanmugalingam, Nimalan, Stanzione, Arnaldo, Zawaideh, Jeries Paolo, Caglic, Iztok, Zaikin, Alexey, Blyuss, Oleg, Barrett, Tristan, Barrett, Tristan [0000-0002-1180-1474], and Apollo - University of Cambridge Repository

Subjects
Artificial intelligence, Prostate cancer, Recurrent neural networks, Longitudinal data, Urology, Predictive modelling, Active surveillance, Prostate-specific antigen
Abstract

UNLABELLED: The global uptake of prostate cancer (PCa) active surveillance (AS) is steadily increasing. While prostate-specific antigen density (PSAD) is an important baseline predictor of PCa progression on AS, there is a scarcity of recommendations on its use in follow-up. In particular, the best way of measuring PSAD is unclear. One approach would be to use the baseline gland volume (BGV) as a denominator in all calculations throughout AS (nonadaptive PSAD, PSADNA), while another would be to remeasure gland volume at each new magnetic resonance imaging scan (adaptive PSAD, PSADA). In addition, little is known about the predictive value of serial PSAD in comparison to PSA. We applied a long short-term memory recurrent neural network to an AS cohort of 332 patients and found that serial PSADNA significantly outperformed both PSADA and PSA for follow-up prediction of PCa progression because of its high sensitivity. Importantly, while PSADNA was superior in patients with smaller glands (BGV ≤55 ml), serial PSA was better in men with larger prostates of >55 ml. PATIENT SUMMARY: Repeat measurements of prostate-specific antigen (PSA) and PSA density (PSAD) are the mainstay of active surveillance in prostate cancer. Our study suggests that in patients with a prostate gland of 55 ml or smaller, PSAD measurements are a better predictor of tumour progression, whereas men with a larger gland may benefit more from PSA monitoring.

Published
2023
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31. Determining post-operative morbidity and mortality following gynecological oncology surgery: protocol for a multicenter, international, prospective cohort study (Global Gynaecological Oncology Surgical Outcomes Collaborative—GO SOAR)

Author

Gaba, Faiza, Bizzarri, Nicolò, Kamfwa, Paul, Saiz, Allison, Blyuss, Oleg, Paranjothy, Shantini, Ramirez, Pedro T, Cibula, David, Elshami, Mohamedraed, Saad, Mahmoud, Nafea, Ahmed, Elhadi, Muhammed, Ismail, Alaa, Al-Naggar, Hamza, Cecilia, Darin Maria, Lanner, Maximilian, Pletnev, Andrei, Refky, Basel, Elkady, Abdelazez, Karkour, Tarek, Ali, Hazim Salah, Ghozy, Sherief, Daghash, Sameh, Elmelegy, Mohamed Hamed, Monier, Eman, Mohammad, Mohammad Abdel-Rahman, Ferraioli, Domenico, Nikolova, Tanja, Petousis, Stamatios, Theofanakis, Charalampos, Mishra, Jagannth, Annapurna, Vadaparty, Ifthikar, Mariam Anjum, Ghosh, Anik, Vallabhaneni, Ajay Chanakya, Kar, Bijoy, Al-khafaji, Alyaa, Al-Isawi, Ali, O’Leary, Michael, Martinelli, Fabio, Arcieri, Martina, Restaino, Stefano, Fagotti, Anna, Cola, Edoardo, Bogliolo, Stefano, Shatnawi, Qais, Zazo, Aya, Sindiani, Amer Mahmoud, Alsardieh, Wafa, Qasem, Abdulrahman, Husain, Shatha, Kamarudin, Maherah, Korch, Moniba, Lawal, Ishak, Okunowo, Adeyemi, Alkronz, Mohammed, Lago, Victor, Alsattari, Amani, Abuzaina, Khalil, Shahin, Farah, Aljuba, Ayat, Hatab, Waleed Abu, Salameh, Najib, Radi, Adnan, Casanova, João, Zalewski, Kamil, Yousif, Amel, Govorov, Igor, Abu-Zaid, Ahmed, Alghamdi, Susan, Moreno, Antonio Gil, Rodriguez, Natalia, Boria, Felix, Razumova, Zoia, Alshehabi, Zuheir, Hassan, Bassam, Nawfal, Hamdi, Hamza, Amr, Aker, Seda Şahin, Taskin, Salih, Kahramanoglu, Ilker, Selcuk, Ilker, Gurumurthy, Mahalakshmi, Cairns, Mary, McPherson, Lori, Ghaem-Maghami, Sadaf, Butler, John, Ang, Christine, Sharma, Aarti, Al-Naggar, Hamza, Saif, Sara, Abualdahab, Noor, Qaderi, Shohra, Fundafunda, Swali V, Awad, Mohammed, Karout, Lina, Kassab, Mohamad B, Safar, Ali, Abdallah, Reem, Hatoum, Sana, Elmakkaoui, Said Mohamad, Itani, Rania, El Hassan, Jihad, Karout, Samar, Edine, Hussein Mansour Jamal, Atallah, David, Kacimi, Salah Eddine Oussama, Mohamed, Mustafa, Tan, Chee Yang, Haidar, Hanan, Shehada, Wafaa, Abou-Taleb, Hisham Ahmed, Herdan, Mohamed O., Ali, Ali Hussien, Ahmed, Ahmed Ragab Ali, Mohamed, Omar Salah Ibrahim, Omar, Mohamed I, Zineldin, Eman Ibrahim, El-hamouly, Ahmed Sabry Fouad, Hajjaj, Baraa N., Yousef, Shukri Odeh, Shaheen, Besan, Elhossini, Akram, Obiedat, Ziena, Alsumadi, Maen, Ahmed, Bisan, Abed, Salsabeel, Husaini, Akram, Abusharkh, Subhi Maher, and Angeles, Martina Aida

Published
2021
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34. Patient decision aids in mainstreaming genetic testing for women with ovarian cancer: A prospective cohort study

Author

Sobocan, Monika, primary, Chandrasekaran, Dhivya, additional, Sideris, Michail, additional, Blyuss, Oleg, additional, Fierheller, Caitlin, additional, Kalra, Ashwin, additional, Sia, Jacqueline, additional, Miller, Rowan E., additional, Mills‐Baldock, Tina, additional, Crusz, Shanthini M., additional, Sun, Li, additional, Evans, Olivia, additional, Robbani, Sadiyah, additional, Jenkins, Lucy A., additional, Ahmed, Munaza, additional, Kumar, Ajith, additional, Quigley, Mary, additional, Lockley, Michelle, additional, Faruqi, Asma, additional, Casey, Laura, additional, Brockbank, Elly, additional, Phadnis, Saurabh, additional, Trevisan, Giorgia, additional, Singh, Naveena, additional, Legood, Rosa, additional, and Manchanda, Ranjit, additional

Published
2023
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37. Estimated Global Proportions of Individuals with Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021

Author

Wulf Hanson, Sarah, Abbafati, Cristiana, Aerts, Joachim G, Al-Aly, Ziyad, Ashbaugh, Charlie, Ballouz, Tala, Blyuss, Oleg, Bobkova, Polina, Bonsel, Gouke, Borzakova, Svetlana, Buonsenso, Danilo, Butnaru, Denis, Carter, Austin, Chu, Helen, De Rose, Cristina, Diab, Mohamed Mustafa, Ekbom, Emil, El Tantawi, Maha, Fomin, Victor, Frithiof, Robert, Gamirova, Aysylu, Glybochko, Petr V, Haagsma, Juanita A, Haghjooy Javanmard, Shaghayegh, Hamilton, Erin B, Harris, Gabrielle, Heijenbrok-Kal, Majanka H, Helbok, Raimund, Hellemons, Merel E, Hillus, David, Huijts, Susanne M, Hultström, Michael, Jassat, Waasila, Kurth, Florian, Larsson, Ing-Marie, Lipcsey, Miklós, Liu, Chelsea, Loflin, Callan D, Malinovschi, Andrei, Mao, Wenhui, Mazankova, Lyudmila, Mcculloch, Denise, Menges, Dominik, Mohammadifard, Noushin, Munblit, Daniel, Nekliudov, Nikita A, Ogbuoji, Osondu, Osmanov, Ismail M, Peñalvo, José L, Petersen, Maria Skaalum, Puhan, Milo A, Rahman, Mujibur, Rass, Verena, Reinig, Nickolas, Ribbers, Gerard M, Ricchiuto, Antonia, Rubertsson, Sten, Samitova, Elmira, Sarrafzadegan, Nizal, Shikhaleva, Anastasia, Simpson, Kyle E, Sinatti, Dario, Soriano, Joan B, Spiridonova, Ekaterina, Steinbeis, Fridolin, Svistunov, Andrey A, Valentini, Piero, van de Water, Brittney J, van den Berg-Emons, Rita, Wallin, Ewa, Witzenrath, Martin, Yifan, Wu, Hanzhang, Xu, Zoller, Thomas, Adolph, Christopher, Albright, James, Amlag, Joanne O, Aravkin, Aleksandr Y, Bang-Jensen, Bree L, Bisignano, Catherine, Castellano, Rachel, Castro, Emma, Chakrabarti, Suman, Collins, James K, Dai, Xiaochen, Daoud, Farah, Dapper, Carolyn, Deen, Amanda, Duncan, Bruce B, Erickson, Megan, Ewald, Samuel B, Ferrari, Alize J, Flaxman, Abraham D, Fullman, Nancy, Gamkrelidze, Amiran, Giles, John R, Guo, Gaorui, Hay, Simon I, Jiawei, He, Helak, Monika, Hulland, Erin N, Kereselidze, Maia, Krohn, Kris J, Lazzar-Atwood, Alice, Lindstrom, Akiaja, Lozano, Rafael, Malta, Deborah Carvalho, Månsson, Johan, Mantilla Herrera, Ana M, Mokdad, Ali H, Monasta, Lorenzo, Nomura, Shuhei, Pasovic, Maja, Pigott, David M, Reiner, Robert C, Reinke, Grace, Ribeiro, Antonio Luiz P, Santomauro, Damian Francesco, Sholokhov, Aleksei, Spurlock, Emma Elizabeth, Walcott, Rebecca, Walker, Ally, Wiysonge, Charles Shey, Zheng, Peng, Bettger, Janet Prvu, Murray, Christopher J L, Vos, Theo, Pulmonary Medicine, Public Health, and Rehabilitation Medicine

Subjects
Adult, Male, Internationality, long covid, Adolescent, Pain, Global Health, Cov-2, proportion of polpulation, Young Adult, Post-Acute COVID-19 Syndrome, Humans, Child, Fatigue, Original Investigation, Aged, SARS-CoV-2, Mood Disorders, COVID-19, Bayes Theorem, Syndrome, General Medicine, Middle Aged, Child, Preschool, Female, Cognition Disorders, Respiratory Insufficiency
Abstract

ImportanceSome individuals experience persistent symptoms after initial symptomatic SARS-CoV-2 infection (often referred to as Long COVID).ObjectiveTo estimate the proportion of males and females with COVID-19, younger or older than 20 years of age, who had Long COVID symptoms in 2020 and 2021 and their Long COVID symptom duration.Design, Setting, and ParticipantsBayesian meta-regression and pooling of 54 studies and 2 medical record databases with data for 1.2 million individuals (from 22 countries) who had symptomatic SARS-CoV-2 infection. Of the 54 studies, 44 were published and 10 were collaborating cohorts (conducted in Austria, the Faroe Islands, Germany, Iran, Italy, the Netherlands, Russia, Sweden, Switzerland, and the US). The participant data were derived from the 44 published studies (10 501 hospitalized individuals and 42 891 nonhospitalized individuals), the 10 collaborating cohort studies (10 526 and 1906), and the 2 US electronic medical record databases (250 928 and 846 046). Data collection spanned March 2020 to January 2022.ExposuresSymptomatic SARS-CoV-2 infection.Main Outcomes and MeasuresProportion of individuals with at least 1 of the 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after SARS-CoV-2 infection in 2020 and 2021, estimated separately for hospitalized and nonhospitalized individuals aged 20 years or older by sex and for both sexes of nonhospitalized individuals younger than 20 years of age.ResultsA total of 1.2 million individuals who had symptomatic SARS-CoV-2 infection were included (mean age, 4-66 years; males, 26%-88%). In the modeled estimates, 6.2% (95% uncertainty interval [UI], 2.4%-13.3%) of individuals who had symptomatic SARS-CoV-2 infection experienced at least 1 of the 3 Long COVID symptom clusters in 2020 and 2021, including 3.2% (95% UI, 0.6%-10.0%) for persistent fatigue with bodily pain or mood swings, 3.7% (95% UI, 0.9%-9.6%) for ongoing respiratory problems, and 2.2% (95% UI, 0.3%-7.6%) for cognitive problems after adjusting for health status before COVID-19, comprising an estimated 51.0% (95% UI, 16.9%-92.4%), 60.4% (95% UI, 18.9%-89.1%), and 35.4% (95% UI, 9.4%-75.1%), respectively, of Long COVID cases. The Long COVID symptom clusters were more common in women aged 20 years or older (10.6% [95% UI, 4.3%-22.2%]) 3 months after symptomatic SARS-CoV-2 infection than in men aged 20 years or older (5.4% [95% UI, 2.2%-11.7%]). Both sexes younger than 20 years of age were estimated to be affected in 2.8% (95% UI, 0.9%-7.0%) of symptomatic SARS-CoV-2 infections. The estimated mean Long COVID symptom cluster duration was 9.0 months (95% UI, 7.0-12.0 months) among hospitalized individuals and 4.0 months (95% UI, 3.6-4.6 months) among nonhospitalized individuals. Among individuals with Long COVID symptoms 3 months after symptomatic SARS-CoV-2 infection, an estimated 15.1% (95% UI, 10.3%-21.1%) continued to experience symptoms at 12 months.Conclusions and RelevanceThis study presents modeled estimates of the proportion of individuals with at least 1 of 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after symptomatic SARS-CoV-2 infection.

Published
2022

38. Potential utility of calculated globulin as a screening tool for antibody deficiency in children

Author

Spiridonova, Ekaterina, primary, Bobkova, Polina, additional, Tyrykina, Marina, additional, Kartashova, Valeria, additional, Nikitin, Yuriy, additional, Gushchin, Mikhail, additional, Skibo, Irina, additional, Vasiliev, Anton, additional, Turina, Irina, additional, Ivanova, Yulia V, additional, Gerovich, Roman, additional, Kovygina, Vilana, additional, Blyuss, Oleg, additional, Munblit, Daniel, additional, and Korsunskiy, Ilya, additional

Published
2023
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40. Prognosis Following Surgery for Recurrent Ovarian Cancer and Diagnostic Criteria Predictive of Cytoreduction Success: A Systematic Review and Meta-Analysis.

Author

Gaba, Faiza, Blyuss, Oleg, Chandrasekaran, Dhivya, Bizzarri, Nicolò, Refky, Basel, Barton, Desmond, Ind, Thomas, Nobbenhuis, Marielle, Butler, John, Heath, Owen, Jeyarajah, Arjun, Brockbank, Elly, Lawrence, Alexandra, Manchanda, Ranjit, Dilley, James, and Phadnis, Saurabh

Subjects
*OVARIAN cancer, *OVARIAN epithelial cancer, *PROGNOSIS, *CYTOREDUCTIVE surgery, *DEATH rate, *REPORTING of diseases
Abstract

For women achieving clinical remission after the completion of initial treatment for epithelial ovarian cancer, 80% with advanced-stage disease will develop recurrence. However, the standard treatment of women with recurrent platinum-sensitive diseases remains poorly defined. Secondary (SCS), tertiary (TCS) or quaternary (QCS) cytoreduction surgery for recurrence has been suggested to be associated with increased overall survival (OS). We searched five databases for studies reporting death rate, OS, cytoreduction rates, post-operative morbidity/mortality and diagnostic models predicting complete cytoreduction in a platinum-sensitive disease recurrence setting. Death rates calculated from raw data were pooled based on a random-effects model. Meta-regression/linear regression was performed to explore the role of complete or optimal cytoreduction as a moderator. Pooled death rates were 45%, 51%, 66% for SCS, TCS and QCS, respectively. Median OS for optimal cytoreduction ranged from 16–91, 24–99 and 39–135 months for SCS, TCS and QCS, respectively. Every 10% increase in complete cytoreduction rates at SCS corresponds to a 7% increase in median OS. Complete cytoreduction rates ranged from 9–100%, 35–90% and 33–100% for SCS, TCS and QCS, respectively. Major post-operative thirty-day morbidity was reported to range from 0–47%, 13–33% and 15–29% for SCS, TCS and QCS, respectively. Thirty-day post-operative mortality was 0–6%, 0–3% and 0–2% for SCS, TCS and QCS, respectively. There were two externally validated diagnostic models predicting complete cytoreduction at SCS, but none for TCS and QCS. In conclusion, our data confirm that maximal effort higher order cytoreductive surgery resulting in complete cytoreduction can improve survival. [ABSTRACT FROM AUTHOR]

Published
2023
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41. International Variations in Surgical Morbidity and Mortality Post Gynaecological Oncology Surgery: A Global Gynaecological Oncology Surgical Outcomes Collaborative Led Study (GO SOAR1).

Author

Gaba, Faiza, Ash, Karen, Blyuss, Oleg, Bizzarri, Nicolò, Kamfwa, Paul, Saiz, Allison, and Cibula, David

Subjects
EVALUATION of medical care, RESEARCH, MIDDLE-income countries, CONFIDENCE intervals, SURGICAL complications, WORLD health, POPULATION geography, POSTOPERATIVE period, LOW-income countries, DESCRIPTIVE statistics, RESEARCH funding, LOGISTIC regression analysis, ODDS ratio, FEMALE reproductive organ tumors, COMORBIDITY, LONGITUDINAL method, DEVELOPING countries, DEVELOPED countries
Abstract

Simple Summary: Little is known about factors contributing to early post-operative morbidity and mortality in low and middle income countries with a paucity of data limiting global efforts to improve gynaecological cancer care. In this multicentre, international prospective cohort study of women undergoing gynaecological oncology surgery, we show that low and middle versus high income countries were associated with similar post-operative major morbidity. Capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. Gynaecological malignancies affect women in low and middle income countries (LMICs) at disproportionately higher rates compared with high income countries (HICs) with little known about variations in access, quality, and outcomes in global cancer care. Our study aims to evaluate international variation in post-operative morbidity and mortality following gynaecological oncology surgery between HIC and LMIC settings. Study design consisted of a multicentre, international prospective cohort study of women undergoing surgery for gynaecological malignancies (NCT04579861). Multilevel logistic regression determined relationships within three-level nested-models of patients within hospitals/countries. We enrolled 1820 patients from 73 hospitals in 27 countries. Minor morbidity (Clavien–Dindo I–II) was 26.5% (178/672) and 26.5% (267/1009), whilst major morbidity (Clavien–Dindo III–V) was 8.2% (55/672) and 7% (71/1009) for LMICs/HICs, respectively. Higher minor morbidity was associated with pre-operative mechanical bowel preparation (OR = 1.474, 95%CI = 1.054–2.061, p = 0.023), longer surgeries (OR = 1.253, 95%CI = 1.066–1.472, p = 0.006), greater blood loss (OR = 1.274, 95%CI = 1.081–1.502, p = 0.004). Higher major morbidity was associated with longer surgeries (OR = 1.37, 95%CI = 1.128–1.664, p = 0.002), greater blood loss (OR = 1.398, 95%CI = 1.175–1.664, p ≤ 0.001), and seniority of lead surgeon, with junior surgeons three times more likely to have a major complication (OR = 2.982, 95%CI = 1.509–5.894, p = 0.002). Of all surgeries, 50% versus 25% were performed by junior surgeons in LMICs/HICs, respectively. We conclude that LMICs and HICs were associated with similar post-operative major morbidity. Capacity to rescue patients from surgical complications is a tangible opportunity for meaningful intervention. [ABSTRACT FROM AUTHOR]

Published
2023
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42. Supplementary Table 1, Figures 1 - 3 from Serum CA19-9 Is Significantly Upregulated up to 2 Years before Diagnosis with Pancreatic Cancer: Implications for Early Disease Detection

Author

O'Brien, Darragh P., primary, Sandanayake, Neomal S., primary, Jenkinson, Claire, primary, Gentry-Maharaj, Aleksandra, primary, Apostolidou, Sophia, primary, Fourkala, Evangelia-Ourania, primary, Camuzeaux, Stephane, primary, Blyuss, Oleg, primary, Gunu, Richard, primary, Dawnay, Anne, primary, Zaikin, Alexey, primary, Smith, Ross C., primary, Jacobs, Ian J., primary, Menon, Usha, primary, Costello, Eithne, primary, Pereira, Stephen P., primary, and Timms, John F., primary

Published
2023
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43. Supplementary Table 1 from Comparison of Longitudinal CA125 Algorithms as a First-Line Screen for Ovarian Cancer in the General Population

Author

Blyuss, Oleg, primary, Burnell, Matthew, primary, Ryan, Andy, primary, Gentry-Maharaj, Aleksandra, primary, Mariño, Inés P., primary, Kalsi, Jatinderpal, primary, Manchanda, Ranjit, primary, Timms, John F., primary, Parmar, Mahesh, primary, Skates, Steven J., primary, Jacobs, Ian, primary, Zaikin, Alexey, primary, and Menon, Usha, primary

Published
2023
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45. A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer: A case-control study

Author

Debernardi, Silvana, O'Brien, Harrison, Algahmdi, Asma S., Malats, Nuria, Stewart, Grant D., Pljesa-Ercegovac, Marija, Costello, Eithne, Greenhalf, William, Saad, Amina, Roberts, Rhiannon, Ney, Alexander, Pereira, Stephen P., Kocher, Hemant M., Duffy, Stephen, Blyuss, Oleg, and Crnogorac-Jurcevic, Tatjana

Subjects
Urine -- Analysis, Biological markers -- Health aspects -- Case studies, Pancreatic cancer -- Case studies -- Diagnosis, Biological sciences
Abstract

Background Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers, with around 9% of patients surviving >5 years. Asymptomatic in its initial stages, PDAC is mostly diagnosed late, when already a locally advanced or metastatic disease, as there are no useful biomarkers for detection in its early stages, when surgery can be curative. We have previously described a promising biomarker panel (LYVE1, REG1A, and TFF1) for earlier detection of PDAC in urine. Here, we aimed to establish the accuracy of an improved panel, including REG1B instead of REG1A, and an algorithm for data interpretation, the PancRISK score, in additional retrospectively collected urine specimens. We also assessed the complementarity of this panel with CA19-9 and explored the daily variation and stability of the biomarkers and their performance in common urinary tract cancers. Methods and findings Clinical specimens were obtained from multiple centres: Barts Pancreas Tissue Bank, University College London, University of Liverpool, Spanish National Cancer Research Center, Cambridge University Hospital, and University of Belgrade. The biomarker panel was assayed on 590 urine specimens: 183 control samples, 208 benign hepatobiliary disease samples (of which 119 were chronic pancreatitis), and 199 PDAC samples (102 stage I-II and 97 stage III-IV); 50.7% were from female individuals. PDAC samples were collected from patients before treatment. The samples were assayed using commercially available ELISAs. Statistical analyses were performed using non-parametric Kruskal-Wallis tests adjusted for multiple comparisons, and multiple logistic regression. Training and validation datasets for controls and PDAC samples were obtained after random division of the whole available dataset in a 1:1 ratio. The substitution of REG1A with REG1B enhanced the performance of the panel to detect resectable PDAC. In a comparison of controls and PDAC stage I-II samples, the areas under the receiver operating characteristic curve (AUCs) increased from 0.900 (95% CI 0.843-0.957) and 0.926 (95% CI 0.843-1.000) in the training (50% of the dataset) and validation sets, respectively, to 0.936 in both the training (95% CI 0.903-0.969) and the validation (95% CI 0.888-0.984) datasets for the new panel including REG1B. This improved panel showed both sensitivity (SN) and specificity (SP) to be >85%. Plasma CA19-9 enhanced the performance of this panel in discriminating PDAC I-II patients from controls, with AUC = 0.992 (95% CI 0.983-1.000), SN = 0.963 (95% CI 0.913-1.000), and SP = 0.967 (95% CI 0.924-1.000). We demonstrate that the biomarkers do not show significant daily variation, and that they are stable for up to 5 days at room temperature. The main limitation of our study is the low number of stage I-IIA PDAC samples (n = 27) and lack of samples from individuals with hereditary predisposition to PDAC, for which specimens collected from control individuals were used as a proxy. Conclusions We have successfully validated our urinary biomarker panel, which was improved by substituting REG1A with REG1B. At a pre-selected cutoff of >80% SN and SP for the affiliated PancRISK score, we demonstrate a clinically applicable risk stratification tool with a binary output for risk of developing PDAC ('elevated' or 'normal'). PancRISK provides a step towards precision surveillance for PDAC patients, which we will test in a prospective clinical study, UroPanc., Author(s): Silvana Debernardi 1, Harrison O'Brien 1, Asma S. Algahmdi 1, Nuria Malats 2,3, Grant D. Stewart 4, Marija Pljesa-Ercegovac 5, Eithne Costello 6, William Greenhalf 6, Amina Saad 7, [...]

Published
2020
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46. Burden of non-communicable diseases among adolescents aged 10-24 years in the EU, 1990-2019: a systematic analysis of the Global Burden of Diseases Study 2019

Author

Armocida, Benedetta, Monasta, Lorenzo, Sawyer, Susan, Bustreo, Flavia, Segafredo, Giulia, Castelpietra, Giulio, Ronfani, Luca, Pasovic, Maja, Hay, Simon, Perel, Pablo, Beran, David, Sawyer, Susan M., Hay, Simon I., Abila, Derrick Bary, Abolhassani, Hassan, Accrombessi, Manfred Mario Kokou, Adekanmbi, Victor, Ahmadi, Keivan, Al Hamad, Hanadi, Aldeyab, Mamoon A., Al-Jumaily, Adel, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Arumugam, Ashokan, Attia, Sameh, Aujayeb, Avinash, Ausloos, Marcel, Baker, Jennifer L., Barone-Adesi, Francesco, Barra, Fabio, Barteit, Sandra, Basu, Sanjay, Baune, Bernhard T., Béjot, Yannick, Belo, Luis, Bennett, Derrick A., Bikbov, Boris, Bikov, Andras, Blyuss, Oleg, Breitner, Susanne, Brenner, Hermann, Carreras, Giulia, Carvalho, Márcia, Catapano, Alberico L., Chandan, Joht Singh, Charalampous, Periklis, Chen, Simiao, Conde, Joao, Cruz-Martins, Natália, Damiani, Giovanni, Dastiridou, Anna, de la Torre-Luque, Alejandro, Dianatinasab, Mostafa, Dias da Silva, Diana, Douiri, Abdel, Dragioti, Elena, Engelbert Bain, Luchuo, Fagbamigbe, Adeniyi Francis, Fereshtehnejad, Seyed-Mohammad, Ferrara, Pietro, Ferreira de Oliveira, José Miguel P., Ferrero, Simone, Ferro Desideri, Lorenzo, Fischer, Florian, Fonseca, Diogo, Gaewkhiew, Piyada, Gaihre, Santosh, Gallus, Silvano, Gaspar Fonseca, Mariana, Gill, Paramjit, Glasbey, James C., Gorini, Giuseppe, Gupta, Vijai Kumar, Gurara, Mekdes Kondale, Haro, Josep Maria, Hasan, M Tasdik, Havmoeller, Rasmus J., Heibati, Behzad, Hellemons, Merel E., Herteliu, Claudiu, Hussain, Salman, Isola, Gaetano, Johnson, Olatunji, Jonas, Jost B., Jozwiak, Jacek Jerzy, Jürisson, Mikk, Kabir, Zubair, Karch, André, Kauppila, Joonas H., Kayode, Gbenga A., Khan, Moien A. B., Khatab, Khaled, Kivimäki, Mika, Klugar, Miloslav, Klugarová, Jitka, Koly, Kamrun Nahar, Koyanagi, Ai, Kurmi, Om P., Kusuma, Dian, La Vecchia, Carlo, Lacey, Ben, Lallukka, Tea, Lamnisos, Demetris, Langguth, Berthold, Larsson, Anders O., Lauriola, Paolo, Lee, Paul H., Leonardi, Matilde, Li, An, Linehan, Christine, López-Bueno, Rubén, Lorkowski, Stefan, Loureiro, Joana A., Lunevicius, Raimundas, Magee, Laura A., Magnani, Francesca Giulia, Majeed, Azeem, Makris, Konstantinos Christos, Mathioudakis, Alexander G., Mathur, Manu Raj, McGrath, John J., Menezes, Ritesh G., Mentis, Alexios-Fotios A., Meretoja, Atte, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Tomasz, Mirica, Andreea, Moccia, Marcello, Mohammed, Shafiu, Molokhia, Mariam, Mondello, Stefania, Mueller, Ulrich Otto, Mulita, Francesk, Munblit, Daniel, Negoi, Ionut, Negoi, Ruxandra Irina, Nena, Evangelia, Noor, Nurulamin M., Nowak, Christoph, Ntaios, George, Nwatah, Vincent Ebuka, Oancea, Bogdan, Oguntade, Ayodipupo Sikiru, Ortiz, Alberto, Otoiu, Adrian, Padron-Monedero, Alicia, Palladino, Raffaele, Pana, Adrian, Panagiotakos, Demosthenes, Panda-Jonas, Songhomitra, Pardhan, Shahina, Patel, Jay, Pedersini, Paolo, Peñalvo, José L., Pensato, Umberto, Pereira, Renato B., Perico, Norberto, Petcu, Ionela-Roxana, Polinder, Suzanne, Postma, Maarten J., Rabiee, Mohammad, Rabiee, Navid, Raggi, Alberto, Rahimzadeh, Shadi, Rawaf, David Laith, Rawaf, Salman, Rehman, Faizan Ur, Remuzzi, Giuseppe, Riad, Abanoub, Rodriguez, Alina, Sacco, Simona, Saeb, Mohammad Reza, Safdarian, Mahdi, Sathian, Brijesh, Sattin, Davide, Saxena, Sonia, Scarmeas, Nikolaos, Schlee, Winfried, Schwendicke, Falk, Shamsizadeh, Morteza, Sharew, Nigussie Tadesse, Shiri, Rahman, Shivalli, Siddharudha, Shivarov, Velizar, Silva, João Pedro, Simpson, Colin R., Skou, Søren T., Socea, Bogdan, Soyiri, Ireneous N., Steiropoulos, Paschalis, Straif, Kurt, Sun, Xiaohui, Tabarés-Seisdedos, Rafael, Thiyagarajan, Arulmani, Topouzis, Fotis, Tovani-Palone, Marcos Roberto, Truelsen, Thomas Clement, Unim, Brigid, Van den Eynde, Jef, Vasankari, Tommi Juhani, Veroux, Massimiliano, Villafaina, Santos, Vinko, Matej, Violante, Francesco S., Volovici, Victor, Wang, Yanzhong, Westerman, Ronny, Yadegarfar, Mohammad Esmaeil, Yaya, Sanni, Zadnik, Vesna, Zumla, Alimuddin, HASH(0x5651c96cd260), Bill & Melinda Gates Foundation, Public Health, Pulmonary Medicine, Neurosurgery, Collaborators, GBD 2019 Europe NCDs in Adolescents, Lacey, BWH, Yaya, S, HUS Neurocenter, Department of Neurosciences, Armocida B., Monasta L., Sawyer S., Bustreo F., Segafredo G., Castelpietra G., Ronfani L., Pasovic M., Hay S., Sawyer S.M., Hay S.I., Abila D.B., Abolhassani H., Accrombessi M.M.K., Adekanmbi V., Ahmadi K., Al Hamad H., Aldeyab M.A., Al-Jumaily A., Ancuceanu R., Andrei C.L., Andrei T., Arumugam A., Attia S., Aujayeb A., Ausloos M., Baker J.L., Barone-Adesi F., Barra F., Barteit S., Basu S., Baune B.T., Bejot Y., Belo L., Bennett D.A., Bikbov B., Bikov A., Blyuss O., Breitner S., Brenner H., Carreras G., Carvalho M., Catapano A.L., Chandan J.S., Charalampous P., Chen S., Conde J., Cruz-Martins N., Damiani G., Dastiridou A., de la Torre-Luque A., Dianatinasab M., Dias da Silva D., Douiri A., Dragioti E., Engelbert Bain L., Fagbamigbe A.F., Fereshtehnejad S.-M., Ferrara P., Ferreira de Oliveira J.M.P., Ferrero S., Ferro Desideri L., Fischer F., Fonseca D.A., Gaewkhiew P., Gaihre S., Gallus S., Gaspar Fonseca M., Gill P.S., Glasbey J.C., Gorini G., Gupta V.K., Gurara M.K., Haro J.M., Hasan M.T., Havmoeller R.J., Heibati B., Hellemons M.E., Herteliu C., Hussain S., Isola G., Johnson O., Jonas J.B., Jozwiak J.J., Jurisson M., Kabir Z., Karch A., Kauppila J.H., Kayode G.A., Khan M.A., Khatab K., Kivimaki M., Klugar M., Klugarova J., Koly K.N., Koyanagi A., Kurmi O.P., Kusuma D., La Vecchia C., Lacey B., Lallukka T., Lamnisos D., Langguth B., Larsson A.O., Lauriola P., Lee P.H., Leonardi M., Li A., Linehan C., Lopez-Bueno R., Lorkowski S., Loureiro J.A., Lunevicius R., Magee L.A., Magnani F.G., Majeed A., Makris K.C., Mathioudakis A.G., Mathur M.R., McGrath J.J., Menezes R.G., Mentis A.-F.A., Meretoja A., Mestrovic T., Miao Jonasson J., Miazgowski T., Mirica A., Moccia M., Mohammed S., Molokhia M., Mondello S., Mueller U.O., Mulita F., Munblit D., Negoi I., Negoi R.I., Nena E., Noor N.M., Nowak C., Ntaios G., Nwatah V.E., Oancea B., Oguntade A.S., Ortiz A., Otoiu A., Padron-Monedero A., Palladino R., Pana A., Panagiotakos D., Panda-Jonas S., Pardhan S., Patel J., Pedersini P., Penalvo J.L., Pensato U., Pereira R.B., Perico N., Petcu I.-R., Polinder S., Postma M.J., Rabiee M., Rabiee N., Raggi A., Rahimzadeh S., Rawaf D.L., Rawaf S., Rehman F.U., Remuzzi G., Riad A., Rodriguez A., Sacco S., Saeb M.R., Safdarian M., Sathian B., Sattin D., Saxena S., Scarmeas N., Schlee W., Schwendicke F., Shamsizadeh M., Sharew N.T., Shiri R., Shivalli S., Shivarov V., Silva J.P., Simpson C.R., Skou S.T., Socea B., Soyiri I.N., Steiropoulos P., Straif K., Sun X., Tabares-Seisdedos R., Thiyagarajan A., Topouzis F., Tovani-Palone M.R., Truelsen T.C., Unim B., Van den Eynde J., Vasankari T.J., Veroux M., Villafaina S., Vinko M., Violante F.S., Volovici V., Wang Y., Westerman R., Yadegarfar M.E., Yaya S., Zadnik V., Zumla A., Perel P., Beran D., Armocida, B, Monasta, L, Sawyer, S, Ferrara, P, Benedetta, Armocida, Lorenzo, Monasta, Susan, Sawyer, Flavia, Bustreo, Giulia, Segafredo, Giulio, Castelpietra, Luca, Ronfani, Maja, Pasovic, Simon, Hay, Pablo, Perel, David, Beran, Bary Abila, Derrick, Abolhassani, Hassan, Adekanmbi, Victor, Al Hamad, Hanadi, Armocida, Benedetta, Attia, Sameh, Ausloos, Marcel, L Baker, Jennifer, Barteit, Sandra, Basu, Sanjay, Beran, David, Bikbov, Bori, Damiani, Giovanni, de la Torre-Luque, Alejandro, Dianatinasab, Mostafa, Dias da Silva, Diana, Douiri, Abdel, Dragioti, Elena, Engelbert Bain, Luchuo, Gaihre, Santosh, C Glasbey, Jame, Kumar Gupta, Vijai, Maria Haro, Josep, Herteliu, Claudiu, Isola, Gaetano, B Jonas, Jost, Jerzy Jozwiak, Jacek, Jürisson, Mikk, Kabir, Zubair, Karch, André, H Kauppila, Joona, A Kayode, Gbenga, AB Khan, Moien, Khatab, Khaled, Klugarová, Jitka, Kusuma, Dian, López-Bueno, Rubén, Lorkowski, Stefan, Christos Makris, Konstantino, Raj Mathur, Manu, G Menezes, Ritesh, Meretoja, Atte, Moccia, Marcello, Mohammed, Shafiu, Molokhia, Mariam, Monasta, Lorenzo, Otto Mueller, Ulrich, Mulita, Francesk, Negoi, Ionut, Irina Negoi, Ruxandra, Oancea, Bogdan, Sikiru Oguntade, Ayodipupo, Ortiz, Alberto, Pana, Adrian, Panagiotakos, Demosthene, Panda-Jonas, Songhomitra, Pardhan, Shahina, Pasovic, Maja, Patel, Jay, L Peñalvo, José, B Pereira, Renato, Polinder, Suzanne, J Postma, Maarten, Rabiee, Mohammad, Rabiee, Navid, Laith Rawaf, David, Rawaf, Salman, Ronfani, Luca, Reza Saeb, Mohammad, Sathian, Brijesh, Saxena, Sonia, Pedro Silva, João, Tabarés-Seisdedos, Rafael, Roberto Tovani-Palone, Marco, Clement Truelsen, Thoma, Juhani Vasankari, Tommi, Villafaina, Santo, Westerman, Ronny, Yaya, Sanni, Zadnik, Vesna, Zumla., and Alimuddin, Sawyer, Susan, Bustreo, Flavia, Segafredo, Giulia, Castelpietra, Giulio, Hay, Simon, Perel, Pablo, M Sawyer, Susan, I Hay, Simon, Mario Kokou Accrombessi, Manfred, Ahmadi, Keivan, A Aldeyab, Mamoon, Al-Jumaily, Adel, Ancuceanu, Robert, Liliana Andrei, Catalina, Andrei, Tudorel, Arumugam, Ashokan, Aujayeb, Avinash, Barone-Adesi, Francesco, Barra, Fabio, T Baune, Bernhard, B??jot, Yannick, Belo, Lui, A Bennett, Derrick, Bikov, Andra, Blyuss, Oleg, Breitner, Susanne, Brenner, Hermann, Carreras, Giulia, Carvalho, M??rcia, L Catapano, Alberico, Singh Chandan, Joht, Charalampous, Perikli, Chen, Simiao, Conde, Joao, Cruz-Martins, Nat??lia, Dastiridou, Anna, Francis Fagbamigbe, Adeniyi, Fereshtehnejad, Seyed-Mohammad, Ferrara, Pietro, P Ferreira de Oliveira, Jos?? Miguel, Ferrero, Simone, Ferro Desideri, Lorenzo, Fischer, Florian, A Fonseca, Diogo, Gaewkhiew, Piyada, Gallus, Silvano, Gaspar Fonseca, Mariana, Singh Gill, Paramjit, Gorini, Giuseppe, Kondale Gurara, Mekde, Tasdik Hasan, M, J Havmoeller, Rasmu, Heibati, Behzad, E Hellemons, Merel, Hussain, Salman, Johnson, Olatunji, J??risson, Mikk, Karch, Andr??, Kivim??ki, Mika, Klugar, Miloslav, Klugarov??, Jitka, Nahar Koly, Kamrun, Koyanagi, Ai, P Kurmi, Om, La Vecchia, Carlo, Lacey, Ben, Lallukka, Tea, Lamnisos, Demetri, Langguth, Berthold, O Larsson, Ander, Lauriola, Paolo, H Lee, Paul, Leonardi, Matilde, Li, An, Linehan, Christine, L??pez-Bueno, Rub??n, A Loureiro, Joana, Lunevicius, Raimunda, A Magee, Laura, Giulia Magnani, Francesca, Majeed, Azeem, G Mathioudakis, Alexander, J McGrath, John, A Mentis, Alexios-Fotio, Mestrovic, Tomislav, Miao Jonasson, Junmei, Miazgowski, Tomasz, Mirica, Andreea, Mondello, Stefania, Munblit, Daniel, Nena, Evangelia, M Noor, Nurulamin, Nowak, Christoph, Ntaios, George, Ebuka Nwatah, Vincent, Otoiu, Adrian, Padron-Monedero, Alicia, Palladino, Raffaele, Pedersini, Paolo, L Pe??alvo, Jos??, Pensato, Umberto, Perico, Norberto, Petcu, Ionela-Roxana, Raggi, Alberto, Rahimzadeh, Shadi, Ur Rehman, Faizan, Remuzzi, Giuseppe, Riad, Abanoub, Rodriguez, Alina, Sacco, Simona, Safdarian, Mahdi, Sattin, Davide, Scarmeas, Nikolao, Schlee, Winfried, Schwendicke, Falk, Shamsizadeh, Morteza, Tadesse Sharew, Nigussie, Shiri, Rahman, Shivalli, Siddharudha, Shivarov, Velizar, Pedro Silva, Jo??o, R Simpson, Colin, T Skou, S??ren, Socea, Bogdan, N Soyiri, Ireneou, Steiropoulos, Paschali, Straif, Kurt, Sun, Xiaohui, Tabar??s-Seisdedos, Rafael, Thiyagarajan, Arulmani, Topouzis, Foti, Unim, Brigid, Van den Eynde, Jef, Veroux, Massimiliano, Vinko, Matej, S Violante, Francesco, Volovici, Victor, Wang, Yanzhong, Esmaeil Yadegarfar, Mohammad, Zumla, Alimuddin, University of St Andrews. Population and Behavioural Science Division, and University of St Andrews. School of Medicine

Subjects
Male, mortality burden, Adolescent, RJ, RJ101, Care, Global Burden of Disease, Life Expectancy, RJ101 Child Health. Child health services, SDG 3 - Good Health and Well-being, RA0421, 3123 Gynaecology and paediatrics, Risk Factors, RA0421 Public health. Hygiene. Preventive Medicine, Developmental and Educational Psychology, Humans, Disabled Persons, Noncommunicable Diseases, Future, Determinants, MCC, Disability, Public Health, Global Health, Social Medicine and Epidemiology, Burden of non-communicable diseases among adolescents aged 10–24 years in the EU, 1990–2019: a systematic analysis of the Global Burden of Diseases Study 2019, 3rd-DAS, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, n/a, Health, Pediatrics, Perinatology and Child Health, Female, RA
Abstract

Background:Disability and mortality burden of non-communicable diseases (NCDs) have risen worldwide; however, the NCD burden among adolescents remains poorly described in the EU. Methods:Estimates were retrieved from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Causes of NCDs were analysed at three different levels of the GBD 2019 hierarchy, for which mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) were extracted. Estimates, with the 95% uncertainty intervals (UI), were retrieved for EU Member States from 1990 to 2019, three age subgroups (10–14 years, 15–19 years, and 20–24 years), and by sex. Spearman's correlation was conducted between DALY rates for NCDs and the Socio-demographic Index (SDI) of each EU Member State. Findings:In 2019, NCDs accounted for 86·4% (95% uncertainty interval 83·5–88·8) of all YLDs and 38·8% (37·4–39·8) of total deaths in adolescents aged 10–24 years. For NCDs in this age group, neoplasms were the leading causes of both mortality (4·01 [95% uncertainty interval 3·62–4·25] per 100 000 population) and YLLs (281·78 [254·25–298·92] per 100 000 population), whereas mental disorders were the leading cause for YLDs (2039·36 [1432·56–2773·47] per 100 000 population) and DALYs (2040·59 [1433·96–2774·62] per 100 000 population) in all EU Member States, and in all studied age groups. In 2019, among adolescents aged 10–24 years, males had a higher mortality rate per 100 000 population due to NCDs than females (11·66 [11·04–12·28]vs7·89 [7·53–8·23]), whereas females presented a higher DALY rate per 100 000 population due to NCDs (8003·25 [5812·78–10 701·59]vs6083·91 [4576·63–7857·92]). From 1990 to 2019, mortality rate due to NCDs in adolescents aged 10–24 years substantially decreased (–40·41% [–43·00 to –37·61), and also the YLL rate considerably decreased (–40·56% [–43·16 to –37·74]), except for mental disorders (which increased by 32·18% [1·67 to 66·49]), whereas the YLD rate increased slightly (1·44% [0·09 to 2·79]). Positive correlations were observed between DALY rates and SDIs for substance use disorders (rs=0·58, p=0·0012) and skin and subcutaneous diseases (rs=0·45, p=0·017), whereas negative correlations were found between DALY rates and SDIs for cardiovascular diseases (rs=–0·46, p=0·015), neoplasms (rs=–0·57, p=0·0015), and sense organ diseases (rs=–0·61, p=0·0005). Interpretation:NCD-related mortality has substantially declined among adolescents in the EU between 1990 and 2019, but the rising trend of YLL attributed to mental disorders and their YLD burden are concerning. Differences by sex, age group, and across EU Member States highlight the importance of preventive interventions and scaling up adolescent-responsive health-care systems, which should prioritise specific needs by sex, age, and location. Funding: Bill & Melinda Gates Foundation.

Published
2022
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49. Patient outcomes following interval and delayed cytoreductive surgery in advanced ovarian cancer: protocol for a multicenter, international, cohort study (Global Gynaecological Oncology Surgical Outcomes Collaborative)

Author

Gaba, Faiza, primary, Ash, Karen, additional, Blyuss, Oleg, additional, Bizzarri, Nicolò, additional, Kamfwa, Paul, additional, Ramirez, Pedro T, additional, Kotsopoulos, Ioannis C, additional, Chandrasekaran, Dhivya, additional, Gomes, Nana, additional, Butler, John, additional, Nobbenhuis, Marielle, additional, Ind, Thomas, additional, Heath, Owen, additional, Barton, Desmond, additional, Jeyarajah, Arjun, additional, Brockbank, Elly, additional, Lawrence, Alexandra, additional, Dilley, James, additional, Manchanda, Ranjit, additional, Phadnis, Saurabh, additional, and SOAR, GO, additional

Published
2022
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