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2. Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study
- Author
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Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Miller, Victoria, Mente, Andrew, Dehghan, Mahshid, Rangarajan, Sumathy, Zhang, Xiaohe, Swaminathan, Sumathi, Dagenais, Gilles, Gupta, Rajeev, Mohan, Viswanathan, Lear, Scott, Bangdiwala, Shrikant I, Schutte, Aletta E, Wentzel-Viljoen, Edelweiss, Avezum, Alvaro, Altuntas, Yuksel, Yusoff, Khalid, Ismail, Noorhassim, Peer, Nasheeta, Chifamba, Jephat, Diaz, Rafael, Rahman, Omar, Mohammadifard, Noushin, Lana, Fernando, Zatonska, Katarzyna, Wielgosz, Andreas, Yusufali, Afzalhussein, Iqbal, Romaina, Lopez-Jaramillo, Patricio, Khatib, Rasha, Rosengren, Annika, Li, Wei, Liu, Jiankang, Liu, Xiaoyun, Yin, Lu, Teo, Koon, Anand, Sonia, and Yusuf, Salim
- Published
- 2017
- Full Text
- View/download PDF
3. Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study
- Author
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Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Dehghan, Mahshid, Mente, Andrew, Zhang, Xiaohe, Swaminathan, Sumathi, Li, Wei, Mohan, Viswanathan, Iqbal, Romaina, Kumar, Rajesh, Wentzel-Viljoen, Edelweiss, Rosengren, Annika, Amma, Leela Itty, Avezum, Alvaro, Chifamba, Jephat, Diaz, Rafael, Khatib, Rasha, Lear, Scott, Lopez-Jaramillo, Patricio, Liu, Xiaoyun, Gupta, Rajeev, Mohammadifard, Noushin, Gao, Nan, Oguz, Aytekin, Ramli, Anis Safura, Seron, Pamela, Sun, Yi, Szuba, Andrzej, Tsolekile, Lungiswa, Wielgosz, Andreas, Yusuf, Rita, Hussein Yusufali, Afzal, Teo, Koon K, Rangarajan, Sumathy, Dagenais, Gilles, Bangdiwala, Shrikant I, Islam, Shofiqul, Anand, Sonia S, and Yusuf, Salim
- Published
- 2017
- Full Text
- View/download PDF
4. Association of dietary nutrients with blood lipids and blood pressure in 18 countries: a cross-sectional analysis from the PURE study
- Author
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Yusuf, S, Rangarajan, S, Teo, K K, Chow, C K, O'Donnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Merchant, A, Islam, S, Zhang, M, Hu, W, Ramasundarahettige, C, Wong, G, Bangdiwala, S, Dyal, L, Casanova, A, Dehghan, M, Lewis, G, Aliberti, A, Arshad, A, Reyes, A, Zaki, A, Lewis, B, Zhang, B, Agapay, D, Hari, D, Milazzo, E, Ramezani, E, Hussain, F, Shifaly, F, McAlpine, G, Kay, I, Lindeman, J, Rimac, J, Swallow, J, Heldman, L, Mushtaha, M(a), Mushtaha, M(o), Trottier, M, Riggi, M, Aoucheva, N, Kandy, N, Mackie, P, Solano, R, Chin, S, Ramacham, S, Shahrook, S, Trottier, S, Tongana, T, ElSheikh, W, Iyengar, Y, McQueen, M, Hall, K, Keys, J, Wang, X, Keneth, J, Devanath, A, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Dejesus, J, Elsheikh, W, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Dans, A, Co, HU, Sanchez, JT, Pudol, L, Zamora-Pudol, C, Palileo-Villanueva, LAM, Aquino, MR, Abaquin, C, Pudol, SL, Cabral, ML, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, AlHabib, KF, Hersi, A, Kashour, T, Alfaleh, H, Alshamiri, M, Altaradi, HB, Alnobani, O, Bafart, A, Alkamel, N, Ali, M, Abdulrahman, M, Nouri, R, Kruger, A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Bengtsson Boström, K, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Yeates, K, Sleeth, J, Kilonzo, K, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Mente, Andrew, Dehghan, Mahshid, Rangarajan, Sumathy, McQueen, Matthew, Dagenais, Gilles, Wielgosz, Andreas, Lear, Scott, Li, Wei, Chen, Hui, Wang, Yang, Diaz, Rafael, Avezum, Alvaro, Lopez-Jaramillo, Patricio, Seron, Pamela, Kumar, Rajesh, Gupta, Rajeev, Mohan, Viswanathan, Swaminathan, Sumathi, Kutty, Raman, Zatonska, Katarzyna, Iqbal, Romaina, Yusuf, Rita, Mohammadifard, Noushin, Khatib, Rasha, Nasir, Nafiza Mat, Ismail, Noorhassim, Oguz, Aytekin, Rosengren, Annika, Yusufali, Afzalhussein, Wentzel-Viljoen, Edelweiss, Puoane, Thandi, Chifamba, Jephat, Teo, Koon, Anand, Sonia S, and Yusuf, Salim
- Published
- 2017
- Full Text
- View/download PDF
5. Availability and affordability of blood pressure-lowering medicines and the effect on blood pressure control in high-income, middle-income, and low-income countries: an analysis of the PURE study data
- Author
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Yusuf, S, Rangarajan, S, Teo, K K, Chow, C K, O'Donnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Islam, S, Zhang, M, Hu, W, Ramasundarahettige, C, Wong, G, Dayal, L, Casanova, A, Dehghan, M, Lewis, G, Aliberti, A, Reyes, A, Zaki, A, Lewis, B, Zhang, B, Agapay, D, Hari, D, Milazzo, E, Ramezani, E, Hussain, F, Shifaly, F, Kay, I, Rimac, J, Swallow, J, Heldman, L, Mushtaha, M(a), Mushtaha, M(o), Trottier, M, Aoucheva, N, Kandy, N, Mackie, P, Solano, R, Chin, S, Ramacham, S, Shahrook, S, Trottier, S, Tongana, T, ElSheikh, W, Lindeman, J, McQueen, M, Hall, K, Keys, J, Wang, X, Keneth, J, Devanath, A, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Maini Cuneo, JM, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Dejesus, J, Elsheikh, W, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, JiaXuan, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, BianRongwen, TianXiuzhen, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Shankar, K, Kurpad, AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Dans, A, Co, HU, Sanchez, JT, Pudol, L, Zamora-Pudol, C, Palileo-Villanueva, LAM, Aquino, MR, Abaquin, C, Pudol, SL, Cabral, ML, Zatonski, W, Szuba, A, Zatonska, K, Ilow#, R, Ferus, M, Regulska-Ilow, B, Różańska, D, Wolyniec, M, AlHabib, KF, Hersi, A, Kashour, T, Alfaleh, H, Alshamiri, M, Altaradi, HB, Alnobani, O, Bafart, A, Alkamel, N, Ali, M, Abdulrahman, M, Nouri, R, Kruger, A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Lindblad, U, Langkilde, P, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Pettersson, K, Moberg, E, Yeates, K, Sleeth, J, Kilonzo, K, Oguz, A, Akalin, AAK, Calik, KBT, Imeryuz, N, Temizhan, A, Alphan, E, Gunes, E, Sur, H, Karsidag, K, Gulec, S, Altuntas, Y, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Shaibani, H Al, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Shuwaihi, SM Al, Omairi, MA Al, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, Mapanga, R, Attaei, Marjan W, Khatib, Rasha, McKee, Martin, Lear, Scott, Dagenais, Gilles, Igumbor, Ehimario U, AlHabib, Khalid F, Kaur, Manmeet, Kruger, Lanthe, Teo, Koon, Lanas, Fernando, Yusoff, Khalid, Oguz, Aytekin, Gupta, Rajeev, Yusufali, Afzalhussein M, Bahonar, Ahmad, Kutty, Raman, Rosengren, Annika, Mohan, Viswanathan, Avezum, Alvaro, Yusuf, Rita, Szuba, Andrzej, Rangarajan, Sumathy, Chow, Clara, and Yusuf, Salim
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- 2017
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6. POLICITEMIA VERA JAK2 V617F NÃO MUTADO, COM MUTAÇÃO DA CALRETICULINA TIPO 2: RELATO DE CASO
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Porto, FG, primary, Metze, IGHL, additional, Campos, PM, additional, Oliveira, GB, additional, Amarante, GBD, additional, Filgueiras, IBR, additional, Silva, EPS, additional, Barbosa, CC, additional, Schenka, AA, additional, and Pagnano, KBB, additional
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- 2022
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7. Assessing global risk factors for non-fatal injuries from road traffic accidents and falls in adults aged 35–70 years in 17 countries: a cross-sectional analysis of the Prospective Urban Rural Epidemiological (PURE) study
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Raina, Parminder, Sohel, Nazmul, Oremus, Mark, Shannon, Harry, Mony, Prem, Kumar, Rajesh, Li, Wei, Wang, Yang, Wang, Xingyu, Yusoff, Khalid, Yusuf, Rita, Iqbal, Romaina, Szuba, Andrzej, Oguz, Aytekin, Rosengren, Annika, Kruger, Annamarie, Chifamba, Jephat, Mohammadifard, Noushin, Darwish, Ebtihal Ahmad, Dagenais, Gilles, Diaz, Rafael, Avezum, Alvaro, Lopez-Jaramillo, Patricio, Seron, Pamela, Rangarajan, Sumathy, Teo, Koon, Yusuf, Salim, Yusuf, S, Rangarajan, S, Teo, KK, Chow, C K, OʼDonnell, M, Mente, A, Leong, D, Smyth, A, Joseph, P, Islam, S, Zhang, M, Hu, W, Wong, G, Manandhar, N, Dehghan, M, Royerr, M, DeJesus, J, Lewis, G, Mackie, P, Farago, L, Kay, I, Agapay, D, Solano, R, Ramacham, S, Kandy, N, Rimac, J, Trottier, S, ElSheikh, W, Mustaha, M, Tongana, T, Aoucheva, N, Swallow, J, Ramezani, E, Lindeman, J, McQueen, M, Hall, K, Keys, J, Wang, X, Keneth, J, Devanath, A, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Qing, Deng, Xiaoru, Cheng, Xinye, He, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PACamacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, S Thakur, J, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Różańska, D, Wolyniec, M, Kruger, A, Voster, HH, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Bengtsson Boström, K, Lindblad, U, Langkilde, P, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Pettersson, K, Moberg, E, Oguz, A, Akalin, AAK, Calik, KBT, Imeryuz, N, Temizhan, A, Alphan, E, Gunes, E, Sur, H, Karsidag, K, Gulec, S, Altuntas, Y, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Omer Awed, SA, Movahedi, GA, Hussain, F, Shaibani, H Al, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Shuwaihi, SM Al, Omairi, MA Al, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Mrambiwa, P, Machiweni, T, and Mapanga, R
- Published
- 2016
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8. A randomised, prospective comparison of allogeneic bone marrow and peripheral blood progenitor cell transplantation in the treatment of haematological malignancies
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Vigorito, AC, Azevedo, WM, Marques, JFC, Azevedo, AM, Eid, KAB, Aranha, FJP, Lorand-Metze, I, Oliveira, GB, Correa, MEP, Reis, ARC, Miranda, ECM, and de Souza, CA
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- 1998
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9. Association of dietary nutrients with blood lipids and blood pressure in 18 countries: a cross-sectional analysis from the PURE study
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Mente, Andrew, primary, Dehghan, Mahshid, additional, Rangarajan, Sumathy, additional, McQueen, Matthew, additional, Dagenais, Gilles, additional, Wielgosz, Andreas, additional, Lear, Scott, additional, Li, Wei, additional, Chen, Hui, additional, Yi, Sun, additional, Wang, Yang, additional, Diaz, Rafael, additional, Avezum, Alvaro, additional, Lopez-Jaramillo, Patricio, additional, Seron, Pamela, additional, Kumar, Rajesh, additional, Gupta, Rajeev, additional, Mohan, Viswanathan, additional, Swaminathan, Sumathi, additional, Kutty, Raman, additional, Zatonska, Katarzyna, additional, Iqbal, Romaina, additional, Yusuf, Rita, additional, Mohammadifard, Noushin, additional, Khatib, Rasha, additional, Nasir, Nafiza Mat, additional, Ismail, Noorhassim, additional, Oguz, Aytekin, additional, Rosengren, Annika, additional, Yusufali, Afzalhussein, additional, Wentzel-Viljoen, Edelweiss, additional, Puoane, Thandi, additional, Chifamba, Jephat, additional, Teo, Koon, additional, Anand, Sonia S, additional, Yusuf, Salim, additional, Yusuf, S, additional, Rangarajan, S, additional, Teo, K K, additional, Chow, C K, additional, O'Donnell, M, additional, Mente, A, additional, Leong, D, additional, Smyth, A, additional, Joseph, P, additional, Merchant, A, additional, Islam, S, additional, Zhang, M, additional, Hu, W, additional, Ramasundarahettige, C, additional, Wong, G, additional, Bangdiwala, S, additional, Dyal, L, additional, Casanova, A, additional, Dehghan, M, additional, Lewis, G, additional, Aliberti, A, additional, Arshad, A, additional, Reyes, A, additional, Zaki, A, additional, Lewis, B, additional, Zhang, B, additional, Agapay, D, additional, Hari, D, additional, Milazzo, E, additional, Ramezani, E, additional, Hussain, F, additional, Shifaly, F, additional, McAlpine, G, additional, Kay, I, additional, Lindeman, J, additional, Rimac, J, additional, Swallow, J, additional, Heldman, L, additional, Mushtaha, M(a), additional, Mushtaha, M(o), additional, Trottier, M, additional, Riggi, M, additional, Aoucheva, N, additional, Kandy, N, additional, Mackie, P, additional, Solano, R, additional, Chin, S, additional, Ramacham, S, additional, Shahrook, S, additional, Trottier, S, additional, Tongana, T, additional, ElSheikh, W, additional, Iyengar, Y, additional, McQueen, M, additional, Hall, K, additional, Keys, J, additional, Wang, X, additional, Keneth, J, additional, Devanath, A, additional, Diaz, R, additional, Orlandini, A, additional, Linetsky, B, additional, Toscanelli, S, additional, Casaccia, G, additional, Cuneo, JM Maini, additional, Rahman, O, additional, Yusuf, R, additional, Azad, AK, additional, Rabbani, KA, additional, Cherry, HM, additional, Mannan, A, additional, Hassan, I, additional, Talukdar, AT, additional, Tooheen, RB, additional, Khan, MU, additional, Sintaha, M, additional, Choudhury, T, additional, Haque, R, additional, Parvin, S, additional, Avezum, A, additional, Oliveira, GB, additional, Marcilio, CS, additional, Mattos, AC, additional, Teo, K, additional, Dejesus, J, additional, Elsheikh, W, additional, Dagenais, G, additional, Poirier, P, additional, Turbide, G, additional, Auger, D, additional, De Bluts, A LeBlanc, additional, Proulx, MC, additional, Cayer, M, additional, Bonneville, N, additional, Lear, S, additional, Gasevic, D, additional, Corber, E, additional, de Jong, V, additional, Vukmirovich, I, additional, Wielgosz, A, additional, Fodor, G, additional, Pipe, A, additional, Shane, A, additional, Lanas, F, additional, Seron, P, additional, Martinez, S, additional, Valdebenito, A, additional, Oliveros, M, additional, Wei, Li, additional, Lisheng, Liu, additional, Chunming, Chen, additional, Xingyu, Wang, additional, Wenhua, Zhao, additional, Hongye, Zhang, additional, Xuan, Jia, additional, Bo, Hu, additional, Jian, Bo, additional, Xiuwen, Zhao, additional, Xiaohong, Chang, additional, Tao, Chen, additional, Hui, Chen, additional, Qing, Deng, additional, Xiaoru, Cheng, additional, Xinye, He, additional, Jian, Li, additional, Juan, Li, additional, Xu, Liu, additional, Bing, Ren, additional, Wei, Wang, additional, Yang, Wang, additional, Jun, Yang, additional, Yi, Zhai, additional, Manlu, Zhu, additional, Fanghong, Lu, additional, Jianfang, Wu, additional, Yindong, Li, additional, Yan, Hou, additional, Liangqing, Zhang, additional, Baoxia, Guo, additional, Xiaoyang, Liao, additional, Shiying, Zhang, additional, Rongwen, Bian, additional, Xiuzhen, Tian, additional, Dong, Li, additional, Di, Chen, additional, Jianguo, Wu, additional, Yize, Xiao, additional, Tianlu, Liu, additional, Peng, Zhang, additional, Changlin, Dong, additional, Ning, Li, additional, Xiaolan, Ma, additional, Yuqing, Yang, additional, Rensheng, Lei, additional, Minfan, Fu, additional, Jing, He, additional, Yu, Liu, additional, Xiaojie, Xing, additional, Qiang, Zhou, additional, Lopez-Jaramillo, P, additional, Lopez, PA Camacho, additional, Garcia, R, additional, Jurado, LJA, additional, Gómez-Arbeláez, D, additional, Arguello, JF, additional, Dueñas, R, additional, Silva, S, additional, Pradilla, LP, additional, Ramirez, F, additional, Molina, DI, additional, Cure-Cure, C, additional, Perez, M, additional, Hernandez, E, additional, Arcos, E, additional, Fernandez, S, additional, Narvaez, C, additional, Paez, J, additional, Sotomayor, A, additional, Garcia, H, additional, Sanchez, G, additional, David, T, additional, Rico, A, additional, Mony, P, additional, Vaz, M, additional, Bharathi, A V, additional, Swaminathan, S, additional, Kurpad, K Shankar AV, additional, Jayachitra, KG, additional, Kumar, N, additional, Hospital, HAL, additional, Mohan, V, additional, Deepa, M, additional, Parthiban, K, additional, Anitha, M, additional, Hemavathy, S, additional, Rahulashankiruthiyayan, T, additional, Anitha, D, additional, Sridevi, K, additional, Gupta, R, additional, Panwar, RB, additional, Mohan, I, additional, Rastogi, P, additional, Rastogi, S, additional, Bhargava, R, additional, Kumar, R, additional, Thakur, J S, additional, Patro, B, additional, Lakshmi, PVM, additional, Mahajan, R, additional, Chaudary, P, additional, Kutty, V Raman, additional, Vijayakumar, K, additional, Ajayan, K, additional, Rajasree, G, additional, Renjini, AR, additional, Deepu, A, additional, Sandhya, B, additional, Asha, S, additional, Soumya, HS, additional, Kelishadi, R, additional, Bahonar, A, additional, Mohammadifard, N, additional, Heidari, H, additional, Yusoff, K, additional, Ismail, TST, additional, Ng, KK, additional, Devi, A, additional, Nasir, NM, additional, Yasin, MM, additional, Miskan, M, additional, Rahman, EA, additional, Arsad, MKM, additional, Ariffin, F, additional, Razak, SA, additional, Majid, FA, additional, Bakar, NA, additional, Yacob, MY, additional, Zainon, N, additional, Salleh, R, additional, Ramli, MKA, additional, Halim, NA, additional, Norlizan, SR, additional, Ghazali, NM, additional, Arshad, MN, additional, Razali, R, additional, Ali, S, additional, Othman, HR, additional, Hafar, CWJCW, additional, Pit, A, additional, Danuri, N, additional, Basir, F, additional, Zahari, SNA, additional, Abdullah, H, additional, Arippin, MA, additional, Zakaria, NA, additional, Noorhassim, I, additional, Hasni, MJ, additional, Azmi, MT, additional, Zaleha, MI, additional, Hazdi, KY, additional, Rizam, AR, additional, Sazman, W, additional, Azman, A, additional, Khatib, R, additional, Khammash, U, additional, Khatib, A, additional, Giacaman, R, additional, Iqbal, R, additional, Afridi, A, additional, Khawaja, R, additional, Raza, A, additional, Kazmi, K, additional, Dans, A, additional, Co, HU, additional, Sanchez, JT, additional, Pudol, L, additional, Zamora-Pudol, C, additional, Palileo-Villanueva, LAM, additional, Aquino, MR, additional, Abaquin, C, additional, Pudol, SL, additional, Cabral, ML, additional, Zatonski, W, additional, Szuba, A, additional, Zatonska, K, additional, Ilow, R, additional, Ferus, M, additional, Regulska-Ilow, B, additional, Rózanska, D, additional, Wolyniec, M, additional, AlHabib, KF, additional, Hersi, A, additional, Kashour, T, additional, Alfaleh, H, additional, Alshamiri, M, additional, Altaradi, HB, additional, Alnobani, O, additional, Bafart, A, additional, Alkamel, N, additional, Ali, M, additional, Abdulrahman, M, additional, Nouri, R, additional, Kruger, A, additional, Voster, H H, additional, Schutte, A E, additional, Wentzel-Viljoen, E, additional, Eloff, FC, additional, de Ridder, H, additional, Moss, H, additional, Potgieter, J, additional, Roux, AA, additional, Watson, M, additional, de Wet, G, additional, Olckers, A, additional, Jerling, JC, additional, Pieters, M, additional, Hoekstra, T, additional, Puoane, T, additional, Igumbor, E, additional, Tsolekile, L, additional, Sanders, D, additional, Naidoo, P, additional, Steyn, N, additional, Peer, N, additional, Mayosi, B, additional, Rayner, B, additional, Lambert, V, additional, Levitt, N, additional, Kolbe-Alexander, T, additional, Ntyintyane, L, additional, Hughes, G, additional, Swart, R, additional, Fourie, J, additional, Muzigaba, M, additional, Xapa, S, additional, Gobile, N, additional, Ndayi, K, additional, Jwili, B, additional, Ndibaza, K, additional, Egbujie, B, additional, Rosengren, A, additional, Bengtsson Boström, K, additional, Gustavsson, A, additional, Andreasson, M, additional, Snällman, M, additional, Wirdemann, L, additional, Yeates, K, additional, Sleeth, J, additional, Kilonzo, K, additional, Oguz, A, additional, Imeryuz, N, additional, Altuntas, Y, additional, Gulec, S, additional, Temizhan, A, additional, Karsidag, K, additional, Calik, KBT, additional, Akalin, AAK, additional, Caklili, OT, additional, Keskinler, MV, additional, Erbakan, AN, additional, Yusufali, AM, additional, Almahmeed, W, additional, Swidan, H, additional, Darwish, EA, additional, Hashemi, ARA, additional, Al-Khaja, N, additional, Muscat-Baron, JM, additional, Ahmed, SH, additional, Mamdouh, TM, additional, Darwish, WM, additional, Abdelmotagali, MHS, additional, Awed, SA Omer, additional, Movahedi, GA, additional, Al Shaibani, H, additional, Gharabou, RIM, additional, Youssef, DF, additional, Nawati, AZS, additional, Salah, ZAR Abu, additional, Abdalla, RFE, additional, Al Shuwaihi, SM, additional, Al Omairi, MA, additional, Cadigal, OD, additional, Alejandrino, R.S., additional, Chifamba, J, additional, Gwaunza, L, additional, Terera, G, additional, Mahachi, C, additional, Murambiwa, P, additional, Machiweni, T, additional, and Mapanga, R, additional
- Published
- 2017
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10. Primary myelofibrosis: risk stratification by IPSS identifies patients with poor clinical outcome
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Benites, BD, primary, Lima, CS, additional, Lorand-Metze, I, additional, Delamain, MT, additional, Oliveira, GB, additional, Almeida, D, additional, Souza, CA, additional, Vassallo, J, additional, and Pagnano, KB, additional
- Published
- 2013
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11. Fruit, vegetable, and legume intake, and cardiovascular disease and deaths in 18 countries (PURE): a prospective cohort study
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Miller, Victoria, Mente, Andrew, Dehghan, Mahshid, Rangarajan, Sumathy, Zhang, Xiaohe, Swaminathan, Sumathi, Dagenais, Gilles, Gupta, Rajeev, Mohan, Viswanathan, Lear, Scott, Bangdiwala, Shrikant I, Schutte, Aletta E, Wentzel-Viljoen, Edelweiss, Avezum, Alvaro, Altuntas, Yuksel, Yusoff, Khalid, Ismail, Noorhassim, Peer, Nasheeta, Chifamba, Jephat, Diaz, Rafael, Rahman, Omar, Mohammadifard, Noushin, Lana, Fernando, Zatonska, Katarzyna, Wielgosz, Andreas, Yusufali, Afzalhussein, Iqbal, Romaina, Lopez-Jaramillo, Patricio, Khatib, Rasha, Rosengren, Annika, Kutty, V Raman, Li, Wei, Liu, Jiankang, Liu, Xiaoyun, Yin, Lu, Teo, Koon, Anand, Sonia, Yusuf, Salim, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Xiaohong, Chang, Qing, Deng, Xiaoru, Cheng, Qing, Deng, Xinye, He, Bo, Hu, Xuan, Jia, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Yi, Sun, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Hongye, Zhang, Xiuwen, Zhao, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, and Mapanga, R
- Abstract
The association between intake of fruits, vegetables, and legumes with cardiovascular disease and deaths has been investigated extensively in Europe, the USA, Japan, and China, but little or no data are available from the Middle East, South America, Africa, or south Asia.
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- 2017
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12. Associations of fats and carbohydrate intake with cardiovascular disease and mortality in 18 countries from five continents (PURE): a prospective cohort study
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Dehghan, Mahshid, Mente, Andrew, Zhang, Xiaohe, Swaminathan, Sumathi, Li, Wei, Mohan, Viswanathan, Iqbal, Romaina, Kumar, Rajesh, Wentzel-Viljoen, Edelweiss, Rosengren, Annika, Amma, Leela Itty, Avezum, Alvaro, Chifamba, Jephat, Diaz, Rafael, Khatib, Rasha, Lear, Scott, Lopez-Jaramillo, Patricio, Liu, Xiaoyun, Gupta, Rajeev, Mohammadifard, Noushin, Gao, Nan, Oguz, Aytekin, Ramli, Anis Safura, Seron, Pamela, Sun, Yi, Szuba, Andrzej, Tsolekile, Lungiswa, Wielgosz, Andreas, Yusuf, Rita, Hussein Yusufali, Afzal, Teo, Koon K, Rangarajan, Sumathy, Dagenais, Gilles, Bangdiwala, Shrikant I, Islam, Shofiqul, Anand, Sonia S, Yusuf, Salim, Diaz, R, Orlandini, A, Linetsky, B, Toscanelli, S, Casaccia, G, Cuneo, JM Maini, Rahman, O, Yusuf, R, Azad, AK, Rabbani, KA, Cherry, HM, Mannan, A, Hassan, I, Talukdar, AT, Tooheen, RB, Khan, MU, Sintaha, M, Choudhury, T, Haque, R, Parvin, S, Avezum, A, Oliveira, GB, Marcilio, CS, Mattos, AC, Teo, K, Yusuf, S, Dejesus, J, Agapay, D, Tongana, T, Solano, R, Kay, I, Trottier, S, Rimac, J, Elsheikh, W, Heldman, L, Ramezani, E, Dagenais, G, Poirier, P, Turbide, G, Auger, D, De Bluts, A LeBlanc, Proulx, MC, Cayer, M, Bonneville, N, Lear, S, Gasevic, D, Corber, E, de Jong, V, Vukmirovich, I, Wielgosz, A, Fodor, G, Pipe, A, Shane, A, Lanas, F, Seron, P, Martinez, S, Valdebenito, A, Oliveros, M, Wei, Li, Lisheng, Liu, Chunming, Chen, Xingyu, Wang, Wenhua, Zhao, Hongye, Zhang, Xuan, Jia, Bo, Hu, Yi, Sun, Jian, Bo, Xiuwen, Zhao, Xiaohong, Chang, Tao, Chen, Hui, Chen, Xiaohong, Chang, Qing, Deng, Xiaoru, Cheng, Qing, Deng, Xinye, He, Bo, Hu, Xuan, Jia, Jian, Li, Juan, Li, Xu, Liu, Bing, Ren, Yi, Sun, Wei, Wang, Yang, Wang, Jun, Yang, Yi, Zhai, Hongye, Zhang, Xiuwen, Zhao, Manlu, Zhu, Fanghong, Lu, Jianfang, Wu, Yindong, Li, Yan, Hou, Liangqing, Zhang, Baoxia, Guo, Xiaoyang, Liao, Shiying, Zhang, Rongwen, Bian, Xiuzhen, Tian, Dong, Li, Di, Chen, Jianguo, Wu, Yize, Xiao, Tianlu, Liu, Peng, Zhang, Changlin, Dong, Ning, Li, Xiaolan, Ma, Yuqing, Yang, Rensheng, Lei, Minfan, Fu, Jing, He, Yu, Liu, Xiaojie, Xing, Qiang, Zhou, Lopez-Jaramillo, P, Lopez, PA Camacho, Garcia, R, Jurado, LJA, Gómez-Arbeláez, D, Arguello, JF, Dueñas, R, Silva, S, Pradilla, LP, Ramirez, F, Molina, DI, Cure-Cure, C, Perez, M, Hernandez, E, Arcos, E, Fernandez, S, Narvaez, C, Paez, J, Sotomayor, A, Garcia, H, Sanchez, G, David, T, Rico, A, Mony, P, Vaz, M, Bharathi, A V, Swaminathan, S, Kurpad, K Shankar AV, Jayachitra, KG, Kumar, N, Hospital, HAL, Mohan, V, Deepa, M, Parthiban, K, Anitha, M, Hemavathy, S, Rahulashankiruthiyayan, T, Anitha, D, Sridevi, K, Gupta, R, Panwar, RB, Mohan, I, Rastogi, P, Rastogi, S, Bhargava, R, Kumar, R, Thakur, J S, Patro, B, Lakshmi, PVM, Mahajan, R, Chaudary, P, Kutty, V Raman, Vijayakumar, K, Ajayan, K, Rajasree, G, Renjini, AR, Deepu, A, Sandhya, B, Asha, S, Soumya, HS, Kelishadi, R, Bahonar, A, Mohammadifard, N, Heidari, H, Yusoff, K, Ismail, TST, Ng, KK, Devi, A, Nasir, NM, Yasin, MM, Miskan, M, Rahman, EA, Arsad, MKM, Ariffin, F, Razak, SA, Majid, FA, Bakar, NA, Yacob, MY, Zainon, N, Salleh, R, Ramli, MKA, Halim, NA, Norlizan, SR, Ghazali, NM, Arshad, MN, Razali, R, Ali, S, Othman, HR, Hafar, CWJCW, Pit, A, Danuri, N, Basir, F, Zahari, SNA, Abdullah, H, Arippin, MA, Zakaria, NA, Noorhassim, I, Hasni, MJ, Azmi, MT, Zaleha, MI, Hazdi, KY, Rizam, AR, Sazman, W, Azman, A, Khatib, R, Khammash, U, Khatib, A, Giacaman, R, Iqbal, R, Afridi, A, Khawaja, R, Raza, A, Kazmi, K, Zatonski, W, Szuba, A, Zatonska, K, Ilow, R, Ferus, M, Regulska-Ilow, B, Rózanska, D, Wolyniec, M, Alkamel, Ali, M, Kruger, M A, Voster, H H, Schutte, A E, Wentzel-Viljoen, E, Eloff, FC, de Ridder, H, Moss, H, Potgieter, J, Roux, AA, Watson, M, de Wet, G, Olckers, A, Jerling, JC, Pieters, M, Hoekstra, T, Puoane, T, Igumbor, E, Tsolekile, L, Sanders, D, Naidoo, P, Steyn, N, Peer, N, Mayosi, B, Rayner, B, Lambert, V, Levitt, N, Kolbe-Alexander, T, Ntyintyane, L, Hughes, G, Swart, R, Fourie, J, Muzigaba, M, Xapa, S, Gobile, N, Ndayi, K, Jwili, B, Ndibaza, K, Egbujie, B, Rosengren, A, Boström, K Bengtsson, Gustavsson, A, Andreasson, M, Snällman, M, Wirdemann, L, Oguz, A, Imeryuz, N, Altuntas, Y, Gulec, S, Temizhan, A, Karsidag, K, Calik, KBT, Akalin, AAK, Caklili, OT, Keskinler, MV, Erbakan, AN, Yusufali, AM, Almahmeed, W, Swidan, H, Darwish, EA, Hashemi, ARA, Al-Khaja, N, Muscat-Baron, JM, Ahmed, SH, Mamdouh, TM, Darwish, WM, Abdelmotagali, MHS, Awed, SA Omer, Movahedi, GA, Hussain, F, Al Shaibani, H, Gharabou, RIM, Youssef, DF, Nawati, AZS, Salah, ZAR Abu, Abdalla, RFE, Al Shuwaihi, SM, Al Omairi, MA, Cadigal, OD, Alejandrino, R.S., Chifamba, J, Gwaunza, L, Terera, G, Mahachi, C, Murambiwa, P, Machiweni, T, and Mapanga, R
- Abstract
The relationship between macronutrients and cardiovascular disease and mortality is controversial. Most available data are from European and North American populations where nutrition excess is more likely, so their applicability to other populations is unclear.
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- 2017
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13. Evaluation of antioxidant capacity and L-ascorbic acid content in Brazilian tropical fruits acerola (Malpighia emarginata), mangaba (Harconia speciosa), siriguela (Spondias purpurea) and umbu (Spondias tuberosa)
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Ramalho, SA, primary, Gualberto, NC, additional, Oliveira, GB, additional, Gomes, ED, additional, Miranda, RM, additional, and Narain, N, additional
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- 2011
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14. Development of yolk sac inversion in Galea spixii and Cavia porcellus (Rodentia, Caviidae)
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de Oliveira MF, do Vale AM, Favaron PO, Vasconcelos BG, de Oliveira GB, Miglino MA, and Mess A
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- 2012
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15. Six-Month Follow-Up of Patients With In-Hospital Thrombocytopenia During Heparin-Based Anticoagulation (from the Complications After Thrombocytopenia Caused by Heparin [CATCH] Registry)
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Lopes RD, Ohman EM, Granger CB, Honeycutt EF, Anstrom KJ, Berger PB, Crespo EM, Oliveira GB, Moll S, Moliterno DJ, Abrams CS, and Becker RC
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- 2009
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16. SUPERMAGO: Protein Function Prediction Based on Transformer Embeddings.
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de Oliveira GB, Pedrini H, and Dias Z
- Abstract
Recent technological advancements have enabled the experimental determination of amino acid sequences for numerous proteins. However, analyzing protein functions, which is essential for understanding their roles within cells, remains a challenging task due to the associated costs and time constraints. To address this challenge, various computational approaches have been proposed to aid in the categorization of protein functions, mainly utilizing amino acid sequences. In this study, we introduce SUPERMAGO, a method that leverages amino acid sequences to predict protein functions. Our approach employs Transformer architectures, pre-trained on protein data, to extract features from the sequences. We use multilayer perceptrons for classification and a stacking neural network to aggregate the predictions, which significantly enhances the performance of our method. We also present SUPERMAGO+, an ensemble of SUPERMAGO and DIAMOND, based on neural networks that assign different weights to each term, offering a novel weighting mechanism compared with existing methods in the literature. Additionally, we introduce SUPERMAGO+Web, a web server-compatible version of SUPERMAGO+ designed to operate with reduced computational resources. Both SUPERMAGO and SUPERMAGO+ consistently outperformed state-of-the-art approaches in our evaluations, establishing them as leading methods for this task when considering only amino acid sequence information., (© 2024 Wiley Periodicals LLC.)
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- 2024
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17. The use of portable A-mode ultrasound in appendicular lean mass measurements among older adults: a comparison study with dual-energy X-ray absorptiometry and handgrip strength.
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Fernandes LV, de Oliveira GB, Ripka WL, Chen XS, Andrade FCD, Vasques ACJ, and Corona LP
- Abstract
Background/objectives: Strength and muscle mass are key factors for the diagnosis of sarcopenia. The EWGSOP2 recommended using ultrasound (US) as a reliable device to measure muscle mass (MM), but A-mode US still needs to be validated for older adults. This study aimed to evaluate the association between measurements of muscle thickness (MT) by portable A-mode US and, muscle quantity by Dual-Energy X-ray absorptiometry (DXA) in older adults., Methods: Cross-sectional study, with 115 participants included. Muscle mass was assessed by DXA and MT of the biceps, triceps, anterior thigh, and calf by A-mode US and handgrip strength by a dynamometer., Results: The majority were women (n = 96; 83%), 69 ± 6 years. The MT sum (biceps, triceps, thigh, and calf) assessed by the US was not associated with the appendicular lean mass (ALM) assessed by DXA after controlling for sex and age (R
2 = 0.524; p = 0.139; effect size = 0.53). The MT sum biceps and triceps was still significantly associated with MM arms/2 even when controlling for sex and age (which were also significant) (R2 = 0.551; p < 0.001; effect size = 0.56). The MT sum thigh and calf was not associated with MM legs/2 in adjusted models (R2 = 0.499; p = 0.688; effect size = 0.51)., Conclusions: This finding shows that the portable A-mode US may not be an appropriate method for estimating MM in extremities (the sum of arms and legs), but can be appropriate for estimating only MM arms in healthy older adults., (© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)- Published
- 2024
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18. Predictors of Mortality in Patients with Cardiac Device-Related Infective Endocarditis.
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Oliveira GB, Fae IG, Carvalho VT, Pinto PHOM, Duque RAS, Gelape FA, Cambraia FSL, Costa GL, Diamante LC, Bráulio R, Gelape CL, Sousa MR, Ferrari TCA, and Nunes MCP
- Abstract
Infective endocarditis (IE) associated with implantable cardiac devices (ICD) is a serious disease with high mortality rates. The increased number of ICD implants has led to increased ICD infection rates. The aim of this study was to characterize clinical, laboratory profiles and the prognosis of cardiac-device-related endocarditis (CDIE), as well as to identify predictors of in-hospital death. A total of 274 patients with IE were included in a prospective cohort (2007-2019). From these, 82 patients (30%) had CDIE (46 pacemakers, 23 cardioverter defibrillators, and 13 cardiac resynchronization therapy devices). Predisposed conditions; clinical, laboratory and echocardiographic parameters; etiologic agents; and in-hospital outcomes were evaluated. The mean age was 55.8 ± 16.4 years, where 64.6% were male. Among the clinical manifestations at diagnosis, the most prevalent were heart failure (67.9%), fever (60.5%), anorexia/hyporexia (44.4%), and heart murmur (37.5%). The median serum C-reactive protein (CRP) level at diagnosis was 63 mg/L (interquartile range [IQR] 20-161). Etiological agents were identified through positive blood cultures in 55% of cases. The main etiologic agents were negative-coagulase staphylococci (19.5%) and Staphylococcus aureus (18.3%). Vegetation was identified in 74 patients (90.1%). In-hospital mortality was 28%. CRP concentrations at diagnosis were identified as markers of disease severity (odds ratio [OR] 1.006; 95%CI 1.001-1.011; p = 0.016), and the worsening of heart failure was associated with unfavorable outcomes (OR 3.105; 95%CI 1.397-6.902; p = 0.005). Unlike what is traditionally accepted, CDIE does not have a better prognosis.
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- 2024
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19. Health education website on home care for newborns: construction, validation, and evaluation.
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Soares IAA, Góes FGB, Silva ACSSD, Pereira-Ávila FMV, Oliveira GB, and Silva MDA
- Subjects
- Humans, Infant, Newborn, Female, Health Education methods, Pregnancy, Internet, Home Care Services standards
- Abstract
Objective: to build, validate, and evaluate an educational health website on home care for newborns for use by pregnant women, postpartum women, and family members., Method: methodological study developed according to the Analyze, Design, Develop, Implement, and Evaluate model. After construction, the website was validated by 20 experts and evaluated by 20 individuals from the target audience, and the data wasanalyzed according to the Concordance Index with a cut-off point equal to or greater than 0.7 (70%)., Results: in the validation, the Concordance Index for all the items was higher than 0.7 (70%), with a variation between 0.75 (75%) and 1 (100%), reaching an overall average value of 0.91 (91%). In the evaluation, all the items got top marks, with anoverall average value of 1 (100%)., Conclusion: the educational website was built, validated, and evaluated in a satisfactory manner. It can be considered an appropriate tool for its purpose, with benefits in the teaching-learning process for families regarding postnatal home care fornewborns through its use. It can also be used to educate students and health professionals. The website is available for free access via laptops, computers, smartphones, or tablets.
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- 2024
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20. Impact of Neurological Complications on Long-Term Outcomes in Patients with Infective Endocarditis.
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Pinto PHOM, Fae IG, Oliveira GB, Duque RAS, Oliveira MVM, Barbalho LSM, Parreiras AO, Gelape FA, Cambraia FSL, Costa GL, Diamante LC, Bráulio R, Gelape CL, Teixeira-Carvalho A, Ferrari TCA, and Nunes MCP
- Abstract
Neurological complications are frequent during the active course of infective endocarditis (IE), and they are associated with high in-hospital mortality rates. However, limited data exist on the prognostic value of these complications for late outcomes. This study aimed to assess the long-term impact of neurological complications in patients surviving an IE episode. A total of 263 consecutive IE patients admitted to a tertiary care center between 2007 and 2022 were prospectively included. Neurological complications at admission included transient ischemic attack (TIA), ischemic stroke, hemorrhagic stroke, intracerebral abscess, and meningitis. The primary outcome was a composite of overall mortality or heart valve surgery. Of the patients, 34.2% died in the hospital, leaving 173 survivors for long-term follow-up. Over a median of 3.5 years, 29 patients died, and 13 (9%) underwent cardiac surgery, resulting in an overall adverse event rate of 30%. Neurological complications independently predicted long-term adverse outcomes (hazard ratio (HR) 2.237; 95% CI 1.006-4.976), after adjusting for age, chronic kidney disease (CKD), and heart failure (HF) development. In an IE patient cohort, neurological complications at admission, which is a complication directly related to the IE process, were independent predictors of long-term outcomes.
- Published
- 2024
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21. Prenatal post-implantation development of collared peccaries (Pecari tajacu Linnaeus, 1758).
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de Araújo Júnior HN, Lopes IRG, de Sousa ACFC, de Oliveira GB, de Oliveira REM, Tertulino MD, Rocha ELB, Firmino PR, Pereira AF, and de Oliveira MF
- Subjects
- Pregnancy, Female, Animals, Embryonic Development, Fetus, Embryo, Mammalian, Gestational Age, Artiodactyla anatomy & histology
- Abstract
Given the importance of information on intrauterine development in diagnosing anomalies in the gestational development of the species for the development of assisted reproduction technologies as well as understanding the autonomy and responsiveness of the newborn, the aim of the present study was to describe the external morphology of collared peccary conceptuses. For this study, two conceptuses were used per gestational age of 25-120 days post-copulation (dpc) and neonates with 145 dpc, totalling 22 animals. Females were euthanised, and embryos/foetuses were examined, measured, and photographed. During the first third of the gestational period (25-50 dpc, n = 8), a marked body curvature, brain vesicles, somites, internal organs, placid lens, auricular protrusion and limb buds are noted. In the second third of the gestational period (51-100 dpc, n = 10), foetuses lose their body curvature, displaying greater anatomical definition, including skeletal, external ears, nostrils, eyelids and tactile hair formation and cranial suture closure. In addition, dorsal scent gland and genital tubercle differentiation were visualized at 50 days post-copulation. In the third of the gestational period (101-145 dpc, n = 4), the organs become completely formed, alongside skin darkening, eyelid opening, dental eruption, dorsal odorous gland development, sexual organ externalization, and fanero attachment development. These data allowed for the construction of a prenatal growth curve, providing comparative anatomy information for ungulates and further contributing towards rational reproductive management and reproductive biotechnologies for this species., (© 2024 Wiley‐VCH GmbH. Published by John Wiley & Sons Ltd.)
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- 2024
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22. Phosphate buffering in mangrove sediment pore water under eutrophication and deforestation influences.
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Nascimento-Silva G, Oliveira GB, Matos CRL, Metzger E, Sanders CJ, Marotta H, Díaz R, Abril G, and Machado W
- Subjects
- Nitrogen, Eutrophication, Wetlands, Phosphates, Water, Conservation of Natural Resources
- Abstract
Phosphorus (P) behavior was evaluated in mangrove wetlands impacted by urban sewage, including a deforested site. Sediment cores were analyzed for grain size, organic carbon, total nitrogen, stable isotopes (δ
13 C and δ15 N), P contents, and pore water PO4 3- concentrations and net consumption/production rates. Under stronger eutrophication influence, significantly higher P (1390 vs. <1000 μg/g), δ15 N (8.9 vs. <6.7 ‰) and algal material contents (with lower C/N ratio and heavier δ13 C) occurred. Depth-integrated PO4 3- consumption rates in eutrophicated sites were up to two orders of magnitude higher (at the deforested site) than in a moderately preserved mangrove. The whole core of the moderately preserved site presented no saturation of PO4 3- buffering capacity, while more eutrophicated sites developed buffering zones saturated at ∼18-26 cm depth. Contrasting to nearby subtidal environments, eutrophication did not cause larger pore water PO4 3- concentration, evidencing the role of PO4 3- buffering on P filtering by mangrove wetlands., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)- Published
- 2024
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23. Influence of the Different Maturation Conditions of Cocoa Beans on the Chemical Profile of Craft Chocolates.
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do Carmo Mazzinghy AC, Silva VDM, Ramos ALCC, de Oliveira CP, de Oliveira GB, Augusti R, de Araújo RLB, and Melo JOF
- Abstract
Cocoa beans ( Theobroma cacao L.) can be used for craft chocolate production, which arouses consumer interest due to their perceived better quality. This study aimed to evaluate the chemical profile of 80% artisanal chocolate samples produced with cocoa beans subjected to different maturation conditions. In the first maturation process, beans were matured under no-oxygen conditions, and in the second, the toasted beans were matured in oak barrels. The volatile compounds of the chocolate samples were extracted by the solid-phase microextraction method in headspace mode and analyzed by gas chromatography/mass spectrometer. The non-volatile compounds were extracted with methanol and analyzed through paper spray mass spectrometry. Overall, 35 volatile compounds belonging to different chemical classes (acids, alcohols, aldehydes, ketones, esters, and pyrazines) were identified, such as propanoic acid and butane-2,3-diol. In addition, 37 non-volatile compounds, such as procyanidin A pentoside and soyasaponin B, were listed. Tannins, flavonoids, and phenylpropanoids were the main chemical classes observed, varying between the two samples analyzed. Therefore, it was possible to verify that maturation conditions affected the metabolomic profile of the 80% artisanal chocolate samples, being able to influence the sensory characteristics and bioactive compounds profile. Given these results, the sensory evaluation of these chocolates is suggested as the next step.
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- 2024
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24. Impact of genetic background as a risk factor for atherosclerotic cardiovascular disease: A protocol for a nationwide genetic case-control (CV-GENES) study in Brazil.
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Alves de Oliveira H Junior, de Menezes Neves PDM, de Figueiredo Oliveira GB, Moreira FR, Pintão MCT, Rocha VZ, de Souza Rocha C, Katz VN, Ferreira EN, Rojas-Málaga D, Viana CF, da Silva FF, Vidotti JJ, Felicio NM, de Araújo Vitor L, Cesar KG, Araújo da Silva C, de Oliveira Alves LB, and Avezum Á
- Subjects
- Humans, Proprotein Convertase 9, Case-Control Studies, Brazil epidemiology, Risk Factors, Genetic Background, Multicenter Studies as Topic, Cardiovascular Diseases epidemiology, Cardiovascular Diseases genetics, Cardiovascular Diseases prevention & control, Atherosclerosis genetics, Atherosclerosis epidemiology
- Abstract
Atherosclerotic Cardiovascular Disease (ASCVD) represents the leading cause of death worldwide, and individual screening should be based on behavioral, metabolic, and genetic profile derived from data collected in large population-based studies. Due to the polygenic nature of ASCVD, we aimed to assess the association of genomics with ASCVD risk and its impact on the occurrence of acute myocardial infarction, stroke, or peripheral artery thrombotic-ischemic events at population level. CardioVascular Genes (CV-GENES) is a nationwide, multicenter, 1:1 case-control study of 3,734 patients in Brazil. Inclusion criterion for cases is the first occurrence of one of the ASCVD events. Individuals without known ASCVD will be eligible as controls. A core lab will perform the genetic analyses through low-pass whole genome sequencing and whole exome sequencing. In order to estimate the independent association between genetic polymorphisms and ASCVD, a polygenic risk score (PRS) will be built through a hybrid approach including effect size of each Single Nucleotide Polymorphism (SNP), number of effect alleles observed, sample ploidy, total number of SNPs included in the PRS, and number of non-missing SNPs in the sample. In addition, the presence of pathogenic or likely pathogenic variants will be screened in 8 genes (ABCG5, ABCG8, APOB, APOE, LDLR, LDLRAP1, LIPA, PCSK9) associated with atherosclerosis. Multiple logistic regression will be applied to estimate adjusted odds ratios (OR) and 95% confidence intervals (CI), and population attributable risks will be calculated. Clinical trial registration: This study is registered in clinicaltrials.gov (NCT05515653)., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Alves de Oliveira Junior et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2024
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25. Adjusting to the "new normal": How were mental health and self-care affected in patients with diabetes mellitus 1 year into the COVID-19 crisis? A longitudinal study.
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Alessi J, Jaeger EH, de Oliveira GB, Erthal IN, Teixeira JB, Scherer GD, de Carvalho TR, Schaan BD, and Telo GH
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- Humans, Female, Adult, Middle Aged, Aged, Male, Mental Health, Longitudinal Studies, Pandemics, Self Care, Depression, Anxiety, Diabetes Mellitus, Type 2 therapy, COVID-19
- Abstract
This study aimed to assess the long-term effect of the pandemic on mental health and self-care parameters in patients with diabetes during the COVID-19 pandemic in Brazil. After 18 months of pandemic, 118 participants remained in the study (mean age of 56.6 ± 13.4 years, 66.7% were women). We observed no change in the scores for mental health disorders screening. Regarding self-care, patients with type 1 diabetes showed an improvement in the adherence score compared to those found at the beginning of the pandemic (variation + 3.5 (-6.0 to +15.8) points, p = 0.02), and also compared to those with type 2 diabetes. Although the pandemic have negatively affected many people's mental health, especially in those with chronic diseases, our results show that patients with diabetes may have developed good coping and adaptive strategies to maintain diabetes control and symptom pattern of mental health disorders over the course of the pandemic., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
- Published
- 2023
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26. Structure-based design, optimization of lead, synthesis, and biological evaluation of compounds active against Trypanosoma cruzi.
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de Almeida GC, de Oliveira GB, da Silva Monte Z, Costa ÉCS, da Silva Falcão EP, Scotti L, Scotti MT, Oliveira Silva R, Pereira VRA, da Silva ED, Junior PAS, de Andrade Cavalcante MK, and de Melo SJ
- Subjects
- Humans, Animals, Molecular Docking Simulation, Catalytic Domain, Mammals, Trypanosoma cruzi, Chagas Disease drug therapy, Trypanocidal Agents chemistry
- Abstract
Chagas' disease affects approximately eight million people throughout the world, especially the poorest individuals. The protozoan that causes this disease-Trypanosoma cruzi-has the enzyme cruzipain, which is the main therapeutic target. As no available medications have satisfactory effectiveness and safety, it is of fundamental importance to design and synthesize novel analogues that are more active and selective. In the present study, molecular docking and the in silico prediction of ADMET properties were used as strategies to optimize the trypanocidal activity of the pyrimidine compound ZN3F based on interactions with the target site in cruzipain. From the computational results, eight 4-amino-5-carbonitrile-pyrimidine analogues were proposed, synthesized (5a-f and 7g-h) and, tested in vitro on the trypomastigote form of the Tulahuen strain of T. cruzi. The in silico study showed that the designed analogues bond favorably to important amino acid residues of the active site in cruzipain. An in vitro evaluation of cytotoxicity was performed on L929 mammal cell lines. All derivatives inhibited the Tulahuen strain of T. cruzi and also exhibited lower toxicity to L929 cells. The 5e product, in particular, proved to be a potent, selective (IC
50 = 2.79 ± 0.00 μM, selectivity index = 31.3) inhibitor of T. cruzi. The present results indicated the effectiveness of drugs based on the structure of the receptor, revealing the potential trypanocidal of pyrimidines. This study also provides information on molecular aspects for the inhibition of cruzipain., (© 2023 John Wiley & Sons A/S.)- Published
- 2023
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27. Placental development in the early stages of red-rumped agouti pregnancy ( Dasyprocta leporina Linnaeus, 1758).
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de Oliveira GB, de Araújo Júnior HN, de Moura CEB, Favaron PO, Pereira AF, and de Oliveira MF
- Subjects
- Pregnancy, Female, Animals, Humans, Placenta, Rodentia, Yolk Sac, Placentation, Dasyproctidae
- Abstract
Background: Hystricomorpha rodents display a similar placentation model to humans. The present study was carried out considering the scarcity of information concerning the placental development in agouti., Objective: Describe the microscopy of the placenta, subplacenta and yolk sac of agoutis in early pregnancy and report on the inversion of the yolk sac., Methods: Fifteen females between the 14
th -32nd day of gestation were used following euthanasia. Gestational buttons were collected, fixed, processed, stained to optical microscopy or immunohistochemistry., Results: Chorioallantoic placenta (CP) ranged from conical to a half-sphere, as follows: from the 14th to 17th day, the CP displays an inverted "V" shape, predominantly formed by cytotrophoblasts; from 20 to 22 days, formed almost entirely by cytotrophoblasts; at 28 days, a half sphere, with distinct lobes and interlobular area, numerous maternal gaps delimited by syncytiotrophoblasts and trophoblast giant cells; at 32 days, globose and undergoing the maturation process. Subplacenta, located between decidua and CP, initially presents septa consisting of simple columnar epithelium and after 17 days, comprising stratified epithelium. Visceral yolk sac (VYS) is attached to two CP projections between 14 and 17 days, formed by a simple cubic epithelium and inverted. Between 20 and 22 days, the epithelium displays apical villous projections with cytoplasmic vacuoles and a vascularized mesoderm. After the 24th day, the VYS near the placenta is pleated, very vascularized and villous, with decreased villi sizes further away from the placenta., Conclusion: The agouti CP displays similar characteristics to other hystricomorpha, including placenta lobulation, a subplacenta and an inverted vitelline placenta., Competing Interests: The authors declare no conflicts of interest., (© 2023 The Korean Society of Veterinary Science.)- Published
- 2023
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28. Development of an electrochemical sensor based on ternary oxide SiO 2 /Al 2 O 3 /SnO 2 modified with carbon black for direct determination of clothianidin in environmental and food samples.
- Author
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Silva FWL, de Oliveira GB, Archanjo BS, Braz BF, Santelli RE, Ribeiro ES, and Cincotto FH
- Subjects
- Soot, Silicon Dioxide, Neonicotinoids, Oxides chemistry, Graphite chemistry
- Abstract
This study presents the development of an electrochemical sensor, denoted as GCE/CB/SiAlSn, based on the modification of a glassy carbon electrode surface with the ternary oxide SiO
2 /Al2 O3 /SnO2 associated with carbon black, for direct determination of the neonicotinoid pesticide clothianidin in different matrices, such as environmental and food samples. Morphological characterization by the scanning electron microscopy technique, electroanalytical analyses using the cyclic voltammetry technique and differential pulse voltammetry are presented which demonstrated that the developed electrochemical platform presents high sensitivity in the electroanalytical clothianidin determination. The linear range studied was from 2.99 × 10-7 to 6.04 × 10-5 mol L-1 , with an LOD of 2.47 nmol L-1 . This high sensitivity was explained using the synergistic relationship between carbon black and ternary oxide that maximized the electroactive surface area of the GCE/CB/SiAlSn sensor. Interferent studies were performed that showed high selectivity of the sensor to the pesticide in the presence of Ca2+ , K+ , Na+ , and Mg2+ and carbendazim, glyphosate, imidacloprid and thiamethoxam pesticides. The sensor was applied to real samples of tap water and apple juice obtaining recoveries from 91.0% to 103.0%.- Published
- 2023
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29. Quality of life in dysphagia and anxiety and depression symptoms pre and post-thyroidectomy.
- Author
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Depolli GT, Oliveira GB, Oliveira TJ, Santos MHS, Rocha RM, Guimarães MF, and Azevedo EHM
- Subjects
- Female, Humans, Middle Aged, Male, Quality of Life, Depression etiology, Thyroidectomy adverse effects, Prospective Studies, Anxiety etiology, Deglutition Disorders etiology
- Abstract
Purpose: To correlate the dysphagia quality of life and symptoms of anxiety and depression before and after thyroidectomy., Methods: Observational, longitudinal, prospective, and experimental study. Twenty patients participated, with a mean age of 54 years, prevalence of females (n=17; 85%) and partial thyroidectomy (n=14; 70%). All subjects underwent laryngeal visual examination and answered the MD Anderson Dysphagia Questionnaire (MDADI) and the Hospital Anxiety and Depression Scale (HADS) in three different moments: preoperatively, immediately postoperatively (maximum one week) and three months after surgery., Results: There was a significant difference in dysphagia quality of life for the physical and total domains in the three different moments. Regarding anxiety and depression, a statistically significant difference was observed between the scores in all domains, with a greater difference observed between the preoperative period and after 1 week. Higher values were observed in the preoperative period for mild anxiety traits, being more frequent in relation to depression, with a reduction after 1 week and an increase after three months of surgery. There was no significant correlation between the MDADI and HADS protocols., Conclusion: Patients undergoing thyroidectomy self-report better quality of life in dysphagia and reduced anxiety/depression scores after three months of surgery. There was no correlation between anxiety, depression and quality of life in dysphagia at the moments evaluated.
- Published
- 2023
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30. TEMPROT: protein function annotation using transformers embeddings and homology search.
- Author
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Oliveira GB, Pedrini H, and Dias Z
- Subjects
- Molecular Sequence Annotation, Amino Acid Sequence, Amines, Proteins chemistry, Amino Acids
- Abstract
Background: Although the development of sequencing technologies has provided a large number of protein sequences, the analysis of functions that each one plays is still difficult due to the efforts of laboratorial methods, making necessary the usage of computational methods to decrease this gap. As the main source of information available about proteins is their sequences, approaches that can use this information, such as classification based on the patterns of the amino acids and the inference based on sequence similarity using alignment tools, are able to predict a large collection of proteins. The methods available in the literature that use this type of feature can achieve good results, however, they present restrictions of protein length as input to their models. In this work, we present a new method, called TEMPROT, based on the fine-tuning and extraction of embeddings from an available architecture pre-trained on protein sequences. We also describe TEMPROT+, an ensemble between TEMPROT and BLASTp, a local alignment tool that analyzes sequence similarity, which improves the results of our former approach., Results: The evaluation of our proposed classifiers with the literature approaches has been conducted on our dataset, which was derived from CAFA3 challenge database. Both TEMPROT and TEMPROT+ achieved competitive results on [Formula: see text], [Formula: see text], AuPRC and IAuPRC metrics on Biological Process (BP), Cellular Component (CC) and Molecular Function (MF) ontologies compared to state-of-the-art models, with the main results equal to 0.581, 0.692 and 0.662 of [Formula: see text] on BP, CC and MF, respectively., Conclusions: The comparison with the literature showed that our model presented competitive results compared the state-of-the-art approaches considering the amino acid sequence pattern recognition and homology analysis. Our model also presented improvements related to the input size that the model can use to train compared to the literature methods., (© 2023. The Author(s).)
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- 2023
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31. Effect of sires' expected progeny difference for scrotal circumference and juvenile ADG on the puberty of crossbred beef heifers.
- Author
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Barroso JPR, de Castro Ferraz Junior MV, Oliveira GB, Miszura AA, Bertoloni AV, Martins AS, Baggio M, Polizel DM, Biava JS, Ferreira EM, and Pires AV
- Subjects
- Cattle, Animals, Female, Diet veterinary, Weaning, Sexual Maturation, Animal Feed analysis
- Abstract
The early attainment of puberty in heifers is essential for the profitability of the cow-calf farm. This study aimed to evaluate the impact of juvenile average daily gain (ADG) and sire's expected progeny difference (EPD) on puberty of crossbred beef heifers. Sixty Angus × Nellore heifers early weaned (age = 102 ± 4.3 d; initial BW = 103 ± 4.7 kg) were used in a 2 × 2 factorial arrangement. The factor 1 was the sire's EPD for scrotal circumference, in which heifers born from sires with positive EPD were considered precocious (P), and heifers born from sires with negative EPD were considered non-precocious (NP). The factor 2 was the high (HG; ADG = 0.9 kg; ad libitum) and medium ADG (MG; ADG = 0.7 kg) from 3
rd to 7th month of age (1st phase). After 1st phase until puberty, all heifers were fed ad libitum (2nd phase). Statistical analysis was performed by SAS. There was an interaction between factors for DMI in the 1st phase (P = 0.02), which PHG heifers had higher DMI than NPHG. There was no effect on puberty rate, BW, age and BCS at puberty comparing HG vs. MG. However, favorable sires' EPD for scrotal circumference induced a higher proportion of puberty (P 87% vs. NP 59%) at 15 months of age. Thus, the ADG in juvenile age did not affect puberty rate, but sires with positive EPD increased puberty rate of Angus × Nellore heifers in heifers fed a high gain diet., (© 2023. The Author(s), under exclusive licence to Springer Nature B.V.)- Published
- 2023
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32. Effect of growth rates on hormonal and pubertal status in Nellore heifers early weaned.
- Author
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Ferraz MVC, Santos MH, Oliveira GB, Polizel DM, Barroso JPR, Nogueira GP, Gouvea VN, Carvalho PHV, Biava JS, Ferreira EM, and Pires AV
- Subjects
- Female, Cattle, Animals, Weaning, Diet veterinary, Insulin, Animal Feed analysis, Leptin, Sexual Maturation
- Abstract
This study aimed to determine the effect of growth rates on the hormonal status and puberty onset. Forty-eight Nellore heifers were weaned at 3.0 ± 0.1 (means ± standard error of the mean) months old were blocked according to body weight at weaning (84 ± 2 kg) and randomly assigned to treatments. The treatments were arranged in 2 × 2 factorial according to the feeding program. The first program was high (H; 0.79 kg/day) or control (C; 0.45 kg/day) average daily gain (ADG) from 3
rd to 7th month of age (growing phase I). The second program was also high (H; 0.70 kg/day) or control (C; 0.50 kg/day) ADG from the 7th month until puberty (growing phase II), resulting in four treatments: HH (n = 13), HC (n = 10), CH (n = 13), and CC (n = 12). To achieve desired gains, heifers in high ADG program were fed ad libitum dry matter intake (DMI), and the control group was offered around 50% of ad libitum DMI of high group. All heifers received a diet with similar composition. Puberty was assessed weekly by ultrasound examination, and the largest follicle diameter was evaluated every month. Blood samples were collected to quantify leptin, insulin growth factor-1 (IGF1) and luteinizing hormone (LH). At 7 months of age, heifers in high ADG were 35 kg heavier than the control. Heifers in the HH had greater DMI compared with CH in phase II. The puberty rate at 19 months old was greater in the HH treatment (84%) than in the CC (23%), but there was no difference between HC (60%) and CH (50%) treatments. Heifers from HH treatment had greater serum leptin concentration than others at 13 months old, and serum leptin was greater in HH compared with CH and CC at 18 months old. High heifers in phase I had greater serum IGF1 concentration than the control. In addition, HH heifers had a greater diameter of the largest follicle than CC. There was no interaction between phases and age in any variable relative to the LH profile. However, the heifers' age was the main factor that increased the frequency of LH pulse. In conclusion, increasing ADG was associated with greater ADG, serum leptin and IGF-1 concentration, and puberty onset; however, LH concentration was affected mainly by age of the animal. The increasing growth rate at younger age made heifers more efficient., (© 2023. The Author(s), under exclusive licence to Springer Nature B.V.)- Published
- 2023
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33. Percutaneous coronary intervention or medical therapy in patients with severe aortic stenosis and coronary artery disease undergoing transcatheter aortic valve implantation: a real-world analysis using data from an international network.
- Author
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Nunes RAB, Alves da Costa LM, Scudeler TL, de Carvalho Cantarelli MJ, Castello H, de Figueiredo Oliveira GB, and Avezum Junior Á
- Subjects
- Humans, Treatment Outcome, Aortic Valve diagnostic imaging, Aortic Valve surgery, Risk Factors, Coronary Artery Disease diagnostic imaging, Coronary Artery Disease epidemiology, Coronary Artery Disease therapy, Transcatheter Aortic Valve Replacement adverse effects, Percutaneous Coronary Intervention adverse effects, Aortic Valve Stenosis diagnostic imaging, Aortic Valve Stenosis surgery, Aortic Valve Stenosis etiology, Heart Valve Prosthesis Implantation adverse effects
- Abstract
Patients undergoing transcatheter aortic valve implantation (TAVI) due to severe aortic stenosis have a high prevalence of coronary artery disease (CAD). As many of them have high surgical risk, CAD treatment in this group has typically been carried out with optimal medical treatment or paired with percutaneous coronary intervention (PCI). However, the best approach in this scenario is not well established. We aimed to evaluate 5-year cardiovascular outcomes in patients with aortic stenosis and chronic CAD treated with medical treatment alone compared to PCI coupled with medical therapy before or during TAVI. We used data from a large multinational electronic health record network (TriNetX). Patients aged 18 years or older with severe aortic stenosis and CAD who underwent TAVI in the last 10 years before the analysis were considered eligible. Five-year Kaplan-Meier curves and hazard ratios were calculated. We identified 19 058 patients undergoing isolated TAVI and 2277 patients undergoing TAVI and PCI. Using propensity matching scores, 2277 patients in each group were compared. The 5-year cumulative incidence of MACE was 22.92% in the isolated TAVI group, vs. 25.91% in the PCI-TAVI group. The probability of the composite primary outcome was not significantly different between the isolated TAVI group vs. the PCI-TAVI group [53.1 vs. 47.6%, adjusted hazard ratio (HR) 0.92, 95% confidence interval (CI), 0.80-1.05]. In a real-world study of patients with CAD and severe aortic stenosis, the 5-year probability of death, acute coronary syndrome and ischemic stroke did not differ between patients undergoing isolated TAVI compared to patients undergoing PCI before or during TAVI., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
- Published
- 2023
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34. Demand changes meat as changing meat reshapes demand: The great meat revolution.
- Author
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Biscarra-Bellio JC, de Oliveira GB, Marques MCP, and Molento CFM
- Subjects
- Brazil, Meat
- Abstract
As consumer acceptance and overall demand for the different types of meat are important determinants of the new balance between conventional and alternative meats, our goal was to approach the changes in meat demand, as affected by the increasingly available alternative meats coupled to the challenges of conventional meat including the meat paradox, with emphasis on the Brazilian scenario. Then, some aspects of the demand for alternative meats are presented, with a brief historical background. As the decisions taken in the present shape this unprecedented revolution in the way we produce and choose whether to eat meat and, if so, which one, the details of the transition to alternative meat chains in Brazil are yet to be written. It seems even more difficult to predict which food protein items will be in higher demand in the next decades, as new products will likely present themselves for their quality as food items as well as for their ethical and environmental attributes., Competing Interests: Declaration of Competing Interest We, the authors of the manuscript entitled ‘Demand changes meat as changing meat reshapes demand: the great meat revolution’, declare no conflict of interests, as also stated in the manuscript file., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
- Published
- 2023
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35. Effects of lasalocid, narasin, or virginiamycin supplementation on rumen parameters and performance of beef cattle fed forage-based diet.
- Author
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Miszura AA, Marques RS, Polizel DM, Cappellozza BI, Cruz VA, Ogg MA, Barroso JPR, Oliveira GB, Martins AS, Limede AC, Ferreira EM, Gouvêa VN, and Pires AV
- Subjects
- Cattle, Animals, Male, Propionates metabolism, Rumen metabolism, Animal Feed analysis, Digestion, Diet veterinary, Body Weight, Fermentation, Dietary Supplements, Lasalocid pharmacology
- Abstract
Two experiments were designed to evaluate the impacts of supplementing lasalocid (LAS), narasin (NAR), or virginiamycin (VRM) on rumen fermentation parameters, apparent nutrient digestibility, and blood parameters (Exp. 1), as well as feed intake and performance (Exp. 2) of Nellore cattle consuming a forage-based diet. In Exp. 1, 32 rumen-fistulated Nellore steers (initial shrunk body weight [BW] = 355 ± 4.4 kg) were assigned to a randomized complete block design. Within block, animals were randomly assigned to one of four treatments: 1) forage-based diet without feed additives (CON), 2) CON diet plus 13 mg/kg of dry matter (DM) of NAR, 3) CON diet plus 20 mg/kg of DM of sodium LAS, or 4) CON diet plus 20 mg/kg of DM of VRM. No treatment effects were detected (P ≥ 0.32) for intake and apparent digestibility of nutrients. Steers fed NAR had the lowest (P ≤ 0.01) molar proportion of acetate on day 28, 56, and 112 vs. CON, LAS, and VRM steers, whereas acetate did not differ (P ≥ 0.25) between LAS, VRM, and CON steers from day 28 to 84. On day 112, steers fed LAS had a lower (P < 0.02) molar proportion of acetate vs. VRM and CON, whereas it did not differ between CON and VRM (P > 0.33). Steers receiving NAR had a greater (P ≤ 0.04) ruminal propionate vs. CON, LAS, and VRM, whereas LAS steers had greater (P < 0.04) propionate vs. CON and VRM steers on day 28 and 112, and it did not differ (P > 0.22) between CON and VRM. In Exp. 2, 160 Nellore bulls were blocked by initial shrunk BW (212 ± 3.1 kg) in a 140-d feedlot trial. Diets contained the same treatments used in Exp. 1. Bulls fed NAR had greater (P < 0.02) average daily gain (ADG) vs. CON and VRM, and similar (P = 0.17) ADG between NAR and LAS, whereas ADG did not differ (P > 0.28) between LAS, VRM, and CON bulls. A treatment effect was detected (P = 0.03) for dry matter intake, being greater in NAR vs. CON, LAS, and VRM bulls, and similar (P > 0.48) between CON, LAS, and VRM bulls. A tendency was detected (P = 0.09) for feed efficiency, which was greater (P < 0.02) in NAR bulls vs. CON and VRM, and similar (P = 0.36) between NAR and LAS bulls. From day 112 to 140, bulls receiving NAR were heavier (P < 0.03) vs. CON, LAS, and VRM bulls, but no differences were observed (P > 0.51) between CON, LAS, and VRM bulls. Collectively, ruminal fermentation profile and intake were impacted by NAR supplementation, which partially contributed to the enhanced performance of Nellore bulls receiving a forage-based diet., (© The Author(s) 2023. Published by Oxford University Press on behalf of the American Society of Animal Science.)
- Published
- 2023
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36. Linking eutrophication to carbon dioxide and methane emissions from exposed mangrove soils along an urban gradient.
- Author
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Barroso GC, Abril G, Machado W, Abuchacra RC, Peixoto RB, Bernardes M, Marques GS, Sanders CJ, Oliveira GB, Oliveira Filho SR, Amora-Nogueira L, and Marotta H
- Subjects
- Brazil, Carbon Dioxide analysis, Ecosystem, Environmental Monitoring, Eutrophication, Nitrogen, Nitrous Oxide analysis, Phosphorus, Sewage, Soil, Sterols, Wetlands, Greenhouse Gases, Methane analysis
- Abstract
Mangroves are one of the most important but threatened blue carbon ecosystems globally. Rapid urban growth has resulted in nutrient inputs and subsequent coastal eutrophication, associated with an enrichment in organic matter (OM) from algal and sewage sources and substantial changes in greenhouse gas (GHG) emissions. However, the effects of nitrogen (N) and phosphorus (P) enrichment on mangrove soil OM composition and GHG emissions, such as methane (CH
4 ) and carbon dioxide (CO2 ), are still poorly understood. Here, we aim to evaluate the relationships between CO2 and CH4 efflux with OM composition in exposed soils from three mangrove areas along watersheds with different urbanization levels (Rio de Janeiro State, Brazil). To assess spatial (lower vs. upper intertidal zones) and seasonal (summer vs. winter) variability, we measured soil-air CO2 and CH4 fluxes at low spring tide, analyzing elementary (C, N, and P), isotopic (δ13 C and δ15 N), and the molecular (n-alkanes and sterols) composition of surface soil OM. A general trend of OM composition was found with increasing urban influence, with higher δ15 N (proxy of anthropogenic N enrichment), less negative δ13 C, more short-chain n-alkanes, lower C:N ratio (proxies of algal biomass), and higher epicoprostanol content (proxies of sewage-derived OM). The CO2 efflux from exposed soils increased greatly in median (25/75 % interquartile range) from 4.6 (2.9/8.3) to 24.0 (21.5/32.7) mmol m-2 h-1 from more pristine to more urbanized watersheds, independent of intertidal zone and seasonality. The CO2 fluxes at the most eutrophicated site were among the highest reported worldwide for mangrove soils. Conversely, CH4 emissions were relatively low (three orders of magnitude lower than CO2 fluxes), with high peaks in the lower intertidal zone during the rainy summer. Thus, our findings demonstrate the influence of coastal eutrophication on global warming potentials related to enhanced heterotrophic remineralization of blue carbon within mangrove soils., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)- Published
- 2022
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37. The impact of a telehealth intervention on the metabolic profile of diabetes mellitus patients during the COVID-19 pandemic - A randomized clinical trial.
- Author
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Franco DW, Alessi J, de Carvalho TR, Kobe GL, Oliveira GB, Knijnik CP, Amaral B, Becker AS, Schaan BD, and Telo GH
- Subjects
- Adult, Humans, Glycated Hemoglobin analysis, Pandemics, Metabolome, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 therapy, Diabetes Mellitus, Type 1, COVID-19 epidemiology, Telemedicine methods
- Abstract
Objectives: The objective of this study was to evaluate the impact of a telehealth intervention on metabolic outcomes and self-perceptions of the patients regarding their management of diabetes during the COVID-19 pandemic., Methods: This is a non-blind randomized controlled clinical trial to assess a telehealth intervention. We included adults with diabetes mellitus. The outcomes assessed were the level of HbA1c, lipid profile, blood pressure levels, weight, body mass index and self-perceptions about diabetes management., Results: A total of 150 individuals with diabetes participated in the study and at the end of telehealth intervention there were no changes in the patient's HbA1c levels between intervention and control groups for neither type 1 (8.1% vs. 8.6%; p = 0.11) nor type 2 diabetes (8.6% vs. 9.0%; p = 0.09), respectively. From the rest of the metabolic profile, triglyceride levels from type 1 diabetes group was the only variable that demonstrated improvement with telehealth intervention (66.5% intervention group vs. 86.5% control group; p = 0.05)., Conclusions: After 4 months of telehealth intervention, no statistically significant results were observed in HbA1c nor in secondary outcomes (with the exception of triglycerides for the type 1 diabetes group)., Competing Interests: Conflicts of interest There is no conflict of interest to declare., (Copyright © 2022 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.)
- Published
- 2022
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38. Lifestyle pattern changes, eating disorders, and sleep quality in diabetes: how are the effects of 18 months of COVID-19 pandemic being felt?
- Author
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Erthal IN, Alessi J, Teixeira JB, Jaeger EH, de Oliveira GB, Scherer GDLG, de Carvalho TR, Schaan BD, and Telo GH
- Subjects
- Adult, Aged, Female, Humans, Life Style, Longitudinal Studies, Male, Middle Aged, Pandemics, SARS-CoV-2, Sleep Quality, COVID-19 epidemiology, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 epidemiology, Feeding and Eating Disorders
- Abstract
Aims: The pandemic resulted in a lifestyle crisis which may negatively affect patients with diabetes. Despite current knowledge, there is a lack of longitudinal studies evaluating this effect. To assess patients' perceptions about changes in lifestyle, and eating and sleeping patterns after 18 months of the COVID-19 pandemic, and to identify if aspects related to the pandemic (social distancing, COVID-19 infection, behavioral changes, and financial difficulties) are predictors of worsening in eating and sleeping parameters., Methods: This was a longitudinal study that followed patients with diabetes from April 2020 to July 2021 in Southern Brazil. Individuals with type 1 or type 2 diabetes, aged ≥ 18 years, were included. The outcome of this study was the assessment of daily habits during a 18-month period of the COVID-19 pandemic. Specific questionnaires were applied once participants were included in this study (3 months after the onset of the pandemic) and at the 18-month follow-up, which included the Eating Attitudes Test-26 (EAT-26), the Mini-Sleep Questionnaire (MSQ), and a specific questionnaire on diet, physical activity, and sleep pattern. Data were compared within and between groups (type 1 and type 2 diabetes), and multivariable models were used to identify subgroups of worse outcomes., Results: A total of 118 (78.6%) participants remained in the study at follow-up (mean age 54.6 ± 13.9 years, 41.3% male). In total, 33.9% of participants perceived weight gain during the pandemic, especially those with type 1 diabetes (43.1% vs 25.0% in type 2 diabetes, P = 0.04). About one in four participants reported emotional eating and changes in their eating habits for financial reasons. Regarding sleep patterns, more than half the participants reported taking naps during the day, out of which 30.5% of them perceived worse sleep quality, with no difference between type 1 and type 2 diabetes groups. There were no within-group differences in MSQ and EAT-26 scores. Among participants with type 2 diabetes, age ≥ 60 years (OR 27.6, 95%CI 2.2-345.7), diabetes duration ≥ 15 years (OR 28.9, 95%CI 1.4-597.9), and perceived emotional eating (OR 10.9, 95%CI 1.1-107.5) were associated with worsened food quality. Worse sleep quality during the pandemic was associated with age ≥ 60 years for both type 2 diabetes (OR 5.6, 95%CI 1.1-31.5) and type 1 diabetes (OR 5.5, 95%CI 1.0-29.9)., Conclusions: Follow-up data from a cohort of patients with diabetes indicate that at the end of 18 months of social distancing, some lifestyle aspects worsened and some improved, showing that these patients responded differently to the adversities of this period. The evidence of clinical features associated with worsening in food and sleep quality provides new insights to prioritizing actions in crisis situations., (© 2022. Springer-Verlag Italia S.r.l., part of Springer Nature.)
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- 2022
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39. Analysis of meteorological variables interaction associated with the environment of formation of Amazonian squall lines.
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Alcântara CR, Carneiro IO, and Oliveira GB
- Subjects
- Brazil, Cyclonic Storms, Humidity, Seasons, Temperature, Wind
- Abstract
The relationships among humidity, air temperature, wind, and vertical velocity with formation and propagation of Amazonian squall lines (ASL) is analyzed in this study. One year of data (2005) is verified by counting ASL cases according to their classification (propagated and non-propagated) to understand more clearly how the variation of these variables over this year influences their environment of formation. The results show an increase in humidity on days with ASL, with the highest occurrence during the wettest months. Furthermore, system propagation toward the interior of continent seems to be strongly related to the moisture content that reaches the coast, through the winds that blow from the ocean from both by the Northeast Trade Winds, of the North Atlantic Subtropical High, and by the Southeast Trade Winds, of the South Atlantic Subtropical High. Higher moisture content from the sea corresponds to a higher wind intensity toward the coast. A relationship between continent/ocean temperature gradient and the ASL amount and types formed is also demonstrated. Such information is extremely relevant because of the great importance of these systems in the extreme north and northeast regions of Brazil, particularly at the Amazon, given the difficulty of predicting them due to their complexity.
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- 2022
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40. Healthy lifestyle gone bad: effect of the COVID-19 pandemic on the daily habits of children and adolescents with type 1 diabetes.
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de Oliveira GB, Alessi J, Erthal IN, Teixeira JB, Morello MS, Ribeiro RJE, Telo GH, Schaan BD, and Telo GH
- Subjects
- Humans, Adolescent, Child, Male, Female, Pandemics, Screen Time, Caregivers, COVID-19, Diabetes Mellitus, Type 1 psychology, Exercise, Feeding Behavior, Healthy Lifestyle, SARS-CoV-2
- Abstract
Objective: To assess caregivers' perception about the changes in the daily habits of children and adolescents with type 1 diabetes during the COVID-19 pandemic., Subjects and Methods: Primary caregivers of youth aged ≤18 with or without type 1 diabetes were selected for the diabetes and the control groups. Caregivers estimated the youth's time (hours) of physical activity and screen time before and during the pandemic, and rated the quality of eating habits and medication adherence from 0 to 10. The primary outcome was the change in physical activity time, screen time, and eating habits scores during isolation. Between-group analyses and within-group comparisons were conducted. A post hoc analysis was performed using logistic regression to correct for confounding factors., Results: In total, 764 participants were included (381 diabetes group vs. 383 control group). Before the pandemic, the diabetes group presented a reduced median of physical activity (P < 0.001) and screen time (P < 0.001). During the pandemic, the difference between both groups remained similar (P = 0.58). Scores of quality of eating habits were similar in both groups before the pandemic [8.0 (7.0-9.0) vs. 8.0 (7.0-9.0), P = 0.31] but decreased during the pandemic [7.0 (5.1-8.1) vs. 8.0 (6.0-9.0), P < 0.001]. The diabetes group had a significantly worse change in eating habits scores (P < 0.01)., Conclusion: During the pandemic, eating habits were significantly worse in youth with diabetes than in those without diabetes.
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- 2022
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41. Mucocutaneous Xanthodermatosis as Initial Presentation of Immunoglobulin Light Chain Amyloidosis.
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da Fonseca AM, Furlan BB, Irffi GP, de Oliveira GB, Souza EG, and Rezende SM
- Subjects
- Humans, Immunoglobulin Light Chains, Amyloidosis complications, Amyloidosis diagnosis, Immunoglobulin Light-chain Amyloidosis complications, Immunoglobulin Light-chain Amyloidosis diagnosis
- Published
- 2022
- Full Text
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42. Type 1 diabetes and the challenges of emotional support in crisis situations: results from a feasibility study of a multidisciplinary teleintervention.
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Alessi J, Becker AS, Amaral B, de Oliveira GB, Franco DW, Knijnik CP, Kobe GL, de Brito A, de Carvalho TR, Telo GH, Schaan BD, and Telo GH
- Subjects
- Adult, Feasibility Studies, Humans, Middle Aged, Pandemics, Surveys and Questionnaires, COVID-19 epidemiology, Diabetes Mellitus, Type 1 therapy
- Abstract
The association between type 1 diabetes and mental health disorders could be exacerbated in a stressful environment. This study aimed to evaluate the feasibility of a teleguided intervention on emotional disorders in patients with type 1 diabetes during the COVID-19 outbreak. This study was performed during the social distancing period in the COVID-19 outbreak in Brazil. Individuals with type 1 diabetes aged ≥ 18 years were selected to receive a teleguided multidisciplinary intervention or the usual care plus an educational website access. The proposed intervention aimed addressing aspects of mental health, diabetes care and lifestyle habits during the pandemic. The feasibility outcome included the assessment of recruitment capability and adherence to the proposed intervention. Moreover, we evaluated the presence of positive screening for emotional disorders (Self Report Questionnaire 20) after a 16-week intervention, patients' perceptions of pandemic-related changes, diabetes-related emotional distress, eating disorders, and sleep disorders. Data were analyzed with the intent-to-treat principle. Fifty-eight individuals (mean age, 43.8 ± 13.6 years) were included (intervention group, n = 29; control group, n = 29). At the end of the study, a total of 5 participants withdrew from the study in the intervention group compared to only 1 in the control group. Participants who dropout from the study had similar mean age, sex and income to those who remained in the study. The analysis of mental health disorders was not different between the groups at the follow up: a positive screening result was found in 48.3% and 34.5% of participants in the intervention and control groups, respectively (P = 0.29). The intervention group felt more supported in their diabetes care during the social distancing period (82.8% vs. 48.3% in the control group, P < 0.01). Our study identified a disproportionate higher number of withdrawals in the intervention group when compared to the control group. This difference may have compromised the power of the study for the proposed assessments and should be reevaluated in future studies.Trial registration: ClinicalTrials.gov (NCT04344210). Date of registration: 14/04/2020., (© 2022. The Author(s).)
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- 2022
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43. Retraction Note: Type 1 diabetes and the challenges of emotional support in crisis situations: results from a randomized clinical trial of a multidisciplinary teleintervention.
- Author
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Alessi J, Becker AS, Amaral B, de Oliveira GB, Franco DW, Knijnik CP, Kobe GL, de Brito A, de Carvalho TR, Telo GH, Schaan BD, and Telo GH
- Published
- 2022
- Full Text
- View/download PDF
44. Type 1 diabetes and the challenges of emotional support in crisis situations: results from a randomized clinical trial of a multidisciplinary teleintervention.
- Author
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Alessi J, Becker AS, Amaral B, de Oliveira GB, Franco DW, Knijnik CP, Kobe GL, de Brito A, de Carvalho TR, Telo GH, Schaan BD, and Telo GH
- Subjects
- Humans, Male, Female, Adult, Middle Aged, Brazil epidemiology, SARS-CoV-2 isolation & purification, Social Support, Diabetes Mellitus, Type 1 therapy, Diabetes Mellitus, Type 1 psychology, COVID-19 epidemiology, COVID-19 psychology, Telemedicine
- Abstract
The association between type 1 diabetes and mental health disorders could be exacerbated in a stressful environment. This study aimed to evaluate the effectiveness of a teleguided intervention on emotional disorders in patients with type 1 diabetes during the COVID-19 outbreak. An open-label clinical trial was performed during the social distancing period in the COVID-19 outbreak in Brazil. Individuals with type 1 diabetes aged ≥ 18 years were randomized to receive a teleguided multidisciplinary intervention or the usual care plus an educational website access. The primary outcome was a positive screening for emotional disorders (Self Report Questionnaire 20) after a 16-week intervention. Secondary outcomes included evaluation of patients' perceptions of pandemic-related changes, diabetes-related emotional distress, eating disorders, and sleep disorders. Data were analyzed with the intent-to-treat principle. Fifty-eight individuals (mean age, 43.8 ± 13.6 years) were included (intervention group, n = 29; control group, n = 29). The primary outcome was not different between the groups. The intervention group felt more supported in their diabetes care during the social distancing period (82.8% vs. 48.3% in the control group, P < 0.01). Both groups reported a similar self-perceived worsening of physical activity habits and mental health during the outbreak. There was no benefit to using the telehealth strategy proposed for emotional disorders in patients with type 1 diabetes during the COVID-19 outbreak. Further studies are needed to determine the impact on metabolic parameters and to understand why it is so difficult to emotionally support these patients.Trail Registration: ClinicalTrials.gov (NCT04344210), 14/04/2020., (© 2022. The Author(s).)
- Published
- 2022
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45. Voice-related quality of life and emotional symptoms before and after thyroidectomy.
- Author
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Oliveira GB, Oliveira TJ, Santos MHS, Rocha RM, Guimarães MF, and Azevedo EHM
- Subjects
- Female, Humans, Middle Aged, Prospective Studies, Thyroidectomy adverse effects, Voice Quality, Quality of Life, Voice Disorders diagnosis, Voice Disorders etiology
- Abstract
Purpose: To correlate voice-related quality of life, anxiety, and depression symptoms pre- and post-thyroidectomy., Methods: Observational, longitudinal, prospective, and quantitative study. Twenty patients participated in the study, with a mean age of 54 years, who underwent thyroidectomy, laryngeal visual examination, and the Voice-Related Quality of Life and Hospital Anxiety and Depression Scale questionnaires at different times: preoperative, 1 week and 3 months post-thyroidectomy, with a higher prevalence of females (85%; n=17) and partial thyroidectomy (70%; n=14)., Results: There was no statistical difference in voice quality of life between the moments, but lower preoperative scores were observed, especially in the physical domain. We observed a slight trace of anxiety in the preoperative period, with a reduction after 1 week and an increase after 3 months. There was a moderate negative correlation between the physical domain of QVV and the anxiety subscale and the total HADS score after 1 week and between the total domain of QVV with the total HADS score after 1 week, weak negative correlation between the total domain of QVV and the HADS anxiety subscale after 1 week and the total HADS score after 3 months., Conclusion: The patients evaluated in this study self-perceived their voice-related quality of life as positive. Mild anxiety traits were identified, with a reduction after one week postoperatively and an increase after three months. The self-perception of better voice-related quality of life in the postoperative period is weakly related to the reduction of anxiety levels.
- Published
- 2022
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46. One in ten patients with diabetes have suicidal thoughts after 1 year of the COVID-19 pandemic: We need to talk about diabetes and mental health not only during Suicide Prevention Awareness Month.
- Author
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Alessi J, Scherer GDLG, Erthal IN, Teixeira JB, de Oliveira GB, Jaeger EH, de Carvalho TR, Schaan BD, and Telo GH
- Subjects
- Humans, Mental Health, Pandemics prevention & control, SARS-CoV-2, Suicidal Ideation, COVID-19, Diabetes Mellitus, Suicide Prevention
- Published
- 2022
- Full Text
- View/download PDF
47. Antioxidant and Antigenotoxic Actions of Gum Arabic on the Intestinal Mucosa, Liver and Bone Marrow of Swiss Mice Submitted to Colorectal Carcinogenesis.
- Author
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Avelino ALN, Silva NVRE, Oliveira GB, Silva AAS, Cavalcanti BC, Jamacaru FVF, and Dornelas CA
- Subjects
- Animals, Bone Marrow, Carcinogenesis, Gum Arabic pharmacology, Intestinal Mucosa, Liver, Male, Mice, Antioxidants pharmacology, Colorectal Neoplasms drug therapy, Colorectal Neoplasms pathology
- Abstract
Colorectal carcinogenesis is characterized by oxidative stress and the formation of aberrant crypts in its initial stages. Gum arabic (GA) is a natural product with antioxidant properties, and, therefore, supposed antitumor action. The aim of this study was to evaluate the effects of GA on the formation of aberrant crypts, as well as the local, hepatic, and systemic genotoxicity and oxidative stress. We induced colorectal carcinogenesis in Swiss male mice, afterwards treated them with water, 2.5% GA or 5% GA via gavage for twelve weeks and then performed surgery in order to obtain samples to analysis (proximal and distal colon, liver, blood, and bone marrow). The number of aberrant crypts in the GA-treated animals was lower than in the control groups. Likewise, there was a decline of colonic, hepatic, and systemic genotoxicity and oxidative stress. These results reflect the antioxidant role of GA and may lead to the development of treatments that inhibit colorectal carcinogenesis.
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- 2022
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48. Diabetes and Obesity Bias: Are We Intensifying the Pharmacological Treatment in Patients With and Without Obesity With Equity?
- Author
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Alessi J, de Oliveira GB, Erthal IN, Teixeira JB, Scherer GDLG, Jaeger EH, Schneiders J, Telo GH, Schaan BD, and Telo GH
- Subjects
- Humans, Obesity drug therapy, Diabetes Mellitus, Type 2 drug therapy, Weight Prejudice
- Published
- 2021
- Full Text
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49. Evaluation of alveolar process resorption after tooth extraction using the socket shield technique without immediate installation of implants: a randomised controlled clinical trial.
- Author
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de Oliveira GB, Rebello IMC, Montanha Andrade K, Araujo NS, Dos Santos JN, and Cury PR
- Subjects
- Alveolar Process, Humans, Tooth Extraction, Tooth Socket, Alveolar Bone Loss, Dental Implants, Immediate Dental Implant Loading
- Abstract
Our aim was to evaluate resorption of the alveolar ridge using the socket shield technique (SST) without immediate placement of dental implants. This randomised controlled clinical trial included 27 patients: 14 maxillary non-molar teeth were partially extracted using the SST (test group) and 13 were extracted using a minimally traumatic extraction approach (control group). Alterations in height and thickness of the alveolar ridge were evaluated by cone beam computed tomograms taken immediately after, and 100 days after, surgery. Minor resorption was observed in the height of the buccal and palatal plates, without intergroup difference (p ≥ 0.10). The test group showed significantly better preservation of the buccal-to-palatal crest dimension (p ≤ 0.05). In the control group, preservation of buccal plate thickness was significantly greater (p ≤ 0.05), but intragroup vertical resorption of the buccal plate and reduction in the buccal-to-palatal crest distance were greater (p ≤ 0.05). The SST without the immediate placement of implants showed greater preservation of the buccal-to-palatal crest dimension and lower preservation of buccal wall thickness compared with minimally traumatic extraction. In addition, it provided superior maintenance of the baseline buccal wall height. The modified SST is a promising approach, but factors that interfere with the results should be investigated., (Copyright © 2021 The British Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.)
- Published
- 2021
- Full Text
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50. Medical adherence in the time of social distancing: a brief report on the impact of the COVID-19 pandemic on adherence to treatment in patients with diabetes.
- Author
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Franco DW, Alessi J, Becker AS, do Amaral BB, de Oliveira GB, Schaan BD, and Telo GH
- Subjects
- Adult, Cross-Sectional Studies, Humans, Pandemics, Physical Distancing, SARS-CoV-2, COVID-19, Diabetes Mellitus
- Abstract
We conducted a cross-sectional study to evaluate the impact of social distancing determined by the COVID-19 pandemic on treatment adherence using the Self-Care Inventory-revised in adults with diabetes mellitus. In type 1 diabetes, the adherence score was lower during than before social distancing.
- Published
- 2021
- Full Text
- View/download PDF
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