Search

Your search keyword '"Kamel, I."' showing total 519 results
Start Over Author "Kamel, I."
519 results on '"Kamel, I."'

3. Diversity and Co-Occurrence Pattern Analysis of Cecal and Jejunal Microbiota in Two Rabbit Breeds

Author

El-Sayed M. Abdel-Kafy, Kamel I. Kamel, Marco Severgnini, Shama H. A. Morsy, Paola Cremonesi, Shereen S. Ghoneim, Gabriele Brecchia, Neama I. Ali, Yasmein Z. Abdel-Ghafar, Wael A. H. Ali, and Hoda M. A. Shabaan

Subjects
rabbits, microbiota, 16S rRNA gene sequencing, jejunum, cecum, breeds, Veterinary medicine, SF600-1100, Zoology, QL1-991
Abstract

This study aimed to evaluate the productive performance and microbiota variation in the jejunum and cecum of two rabbit breeds with different growth rates. This study was carried out on Native Middle-Egypt Breed (NMER) and Giant Flanders (GF) rabbits from 5 weeks to 12 weeks of age. Twenty NMER (NM) and GF male rabbits were slaughtered, and the jejunum and cecum tracts were collected to assay gut microbiota composition via 16S ribosomal RNA (rRNA) gene sequencing and histology examination. At 12 weeks of age, daily weight gain, villus height in the jejunum, total protein, and albumin were higher in GF rabbits than in NMER rabbits. Also, the jejunal villi of GF were well arranged in their dense borders. The microbiota between the jejunum and cecum was significantly different in terms of Beta-diversity. A significant correlation between Enterococcus (jejunum NM samples) and Lactobacillus (cecum GF samples) with body weight and weight gain was found (p < 0.05). Moreover, Escherichia-Shigella in the cecum of NM was significantly correlated with weight gain (p < 0.05). The most abundant genera identified in the jejunal and cecal contents of GF were generally beneficial microbiota. They may also play a role in reducing the pathogenic effects of Escherichia coli in these rabbits.

Published
2023
Full Text
View/download PDF

4. Minimizing of tunneling effect on existing infrastructure in Egypt

Author

Kamel I. Asker, Mohamed T. Fouad, Mohamed A. Bahr, and Ahmed N. El-Attar

Subjects
tunneling, grouting, field measurements, abaqus, al-azhar twin tunnel, Environmental technology. Sanitary engineering, TD1-1066, Engineering (General). Civil engineering (General), TA1-2040
Abstract

A set of parametric studies by using the Abaqus software is conducting to investigate the effective method to seal the CWO sewer from the tunneling process. These methods include: (i) two deep grouted walls, (ii) adjacent slurry piles, (iii) bored reinforced concrete piles assisted with slurry piles, and (iv) grouted block confining the twin tunnel wall. Based on the results of parametric studies. Most of the protective studied technique was effective on reducing the tunneling effect on the ground movements.

Published
2021
Full Text
View/download PDF

5. Enhancing Social Qualities in University Campus Outdoor Spaces through Islamic Spatial Configurations: The Case of the American University in Cairo

Author

Kamel I. Abu Elkhair, Alaa ElDin Nagy Sarhan, and Amr A. Bayoumi

Subjects
university campus outdoor spaces (UCOS), Islamic spatial configurations, hybrid methods, social qualities, simulation, Building construction, TH1-9745
Abstract

Universities are under more pressure than ever before to attract more students and move up in rankings. Due to bounded space and rising plot values in city areas, a spatial configuration that meets user needs has become a very important topic for well-prepared and spatially suitable educational settings. However, today there is a rapid pace in the establishment of universities in Egypt. Insufficient use of university campus outdoor spaces (UCOS) is considered one of the main negative impacts on social quality in these universities in Egypt. This study aims to evaluate the social qualities according to the Islamic spatial configurations of UCOS in The American University in Cairo (AUC). The research is based on using integrated observational and computational methods in different UCOS. Observational methods are applied through behavioral mapping and movement tracing. Computational methods are applied through space syntax software. The AUC campus is selected as a case study because its design is based on different types of UCOS. The methodology follows three successive steps. Firstly, a field observation of the most used UCOS was undertaken. Secondly, a spatial analysis examining the potential effect of the campus spatial configuration was conducted. Finally, a comparative analytical approach that illustrates the relationship between Islamic spatial configurations of UCOS and activity categories according to user behaviors was taken. The research shows the considered types of UCOS and their ranking according to the observational and computational methods that achieve the highest values for social qualities.

Published
2023
Full Text
View/download PDF

8. Diversity and Co-Occurrence Pattern Analysis of Cecal and Jejunal Microbiota in Two Rabbit Breeds

Author

Abdel-Kafy, El-Sayed M., primary, Kamel, Kamel I., additional, Severgnini, Marco, additional, Morsy, Shama H. A., additional, Cremonesi, Paola, additional, Ghoneim, Shereen S., additional, Brecchia, Gabriele, additional, Ali, Neama I., additional, Abdel-Ghafar, Yasmein Z., additional, Ali, Wael A. H., additional, and Shabaan, Hoda M. A., additional

Published
2023
Full Text
View/download PDF

10. Prognostic value of strain by feature-tracking cardiac magnetic resonance in arrhythmogenic right ventricular cardiomyopathy

Author

Onderzoek Precision medicine, Researchgr. Hart-brein as., Circulatory Health, Team Medisch, Brain, Arts Assistenten Cardiologie, Bourfiss, M., Prakken, N. H.J., James, C. A., Planken, R. N., Boekholdt, S. M., Ahmetagic, D., van den Berg, M. P., Tichnell, C., Van der Heijden, J. F., Loh, P., Murray, B., Tandri, H., Kamel, I., Calkins, H., Asselbergs, F. W., Zimmerman, S. L., Velthuis, B. K., Te Riele, A. S.J.M., Onderzoek Precision medicine, Researchgr. Hart-brein as., Circulatory Health, Team Medisch, Brain, Arts Assistenten Cardiologie, Bourfiss, M., Prakken, N. H.J., James, C. A., Planken, R. N., Boekholdt, S. M., Ahmetagic, D., van den Berg, M. P., Tichnell, C., Van der Heijden, J. F., Loh, P., Murray, B., Tandri, H., Kamel, I., Calkins, H., Asselbergs, F. W., Zimmerman, S. L., Velthuis, B. K., and Te Riele, A. S.J.M.

Published
2023

17. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019: Update From the GBD 2019 Study

Author

Roth, G, Mensah, G, Johnson, C, Addolorato, G, Ammirati, E, Baddour, L, Barengo, N, Beaton, A, Benjamin, E, Benziger, C, Bonny, A, Brauer, M, Brodmann, M, Cahill, T, Carapetis, J, Catapano, A, Chugh, S, Cooper, L, Coresh, J, Criqui, M, Decleene, N, Eagle, K, Emmons-Bell, S, Feigin, V, Fernandez-Sola, J, Fowkes, G, Gakidou, E, Grundy, S, He, F, Howard, G, Hu, F, Inker, L, Karthikeyan, G, Kassebaum, N, Koroshetz, W, Lavie, C, Lloyd-Jones, D, Lu, H, Mirijello, A, Temesgen, A, Mokdad, A, Moran, A, Muntner, P, Narula, J, Neal, B, Ntsekhe, M, Moraes de Oliveira, G, Otto, C, Owolabi, M, Pratt, M, Rajagopalan, S, Reitsma, M, Ribeiro, A, Rigotti, N, Rodgers, A, Sable, C, Shakil, S, Sliwa-Hahnle, K, Stark, B, Sundstrom, J, Timpel, P, Tleyjeh, I, Valgimigli, M, Vos, T, Whelton, P, Yacoub, M, Zuhlke, L, Murray, C, Fuster, V, Fowkes, F, Misganaw, A, Oliveira, G, Sliwa, K, Abbasi-Kangevari, M, Abdi, A, Abedi, A, Aboyans, V, Abrha, W, Abu-Gharbieh, E, Abushouk, A, Acharya, D, Adair, T, Adebayo, O, Ademi, Z, Advani, S, Afshari, K, Afshin, A, Agarwal, G, Agasthi, P, Ahmad, S, Ahmadi, S, Ahmed, M, Aji, B, Akalu, Y, Akande-Sholabi, W, Aklilu, A, Akunna, C, Alahdab, F, Al-Eyadhy, A, Alhabib, K, Alif, S, Alipour, V, Aljunid, S, Alla, F, Almasi-Hashiani, A, Almustanyir, S, Al-Raddadi, R, Amegah, A, Amini, S, Aminorroaya, A, Amu, H, Amugsi, D, Ancuceanu, R, Anderlini, D, Andrei, T, Andrei, C, Ansari-Moghaddam, A, Anteneh, Z, Antonazzo, I, Antony, B, Anwer, R, Appiah, L, Arabloo, J, Arnlov, J, Artanti, K, Ataro, Z, Ausloos, M, Avila-Burgos, L, Awan, A, Awoke, M, Ayele, H, Ayza, M, Azari, S, B, D, Baheiraei, N, Baig, A, Bakhtiari, A, Banach, M, Banik, P, Baptista, E, Barboza, M, Barua, L, Basu, S, Bedi, N, Bejot, Y, Bennett, D, Bensenor, I, Berman, A, Bezabih, Y, Bhagavathula, A, Bhaskar, S, Bhattacharyya, K, Bijani, A, Bikbov, B, Birhanu, M, Boloor, A, Brant, L, Brenner, H, Briko, N, Butt, Z, Caetano dos Santos, F, Cahill, L, Cahuana-Hurtado, L, Camera, L, Campos-Nonato, I, Cantu-Brito, C, Car, J, Carrero, J, Carvalho, F, Castaneda-Orjuela, C, Catala-Lopez, F, Cerin, E, Charan, J, Chattu, V, Chen, S, Chin, K, Choi, J, Chu, D, Chung, S, Cirillo, M, Coffey, S, Conti, S, Costa, V, Cundiff, D, Dadras, O, Dagnew, B, Dai, X, Damasceno, A, Dandona, L, Dandona, R, Davletov, K, De la Cruz-Gongora, V, De la Hoz, F, De Neve, J, Denova-Gutierrez, E, Derbew Molla, M, Derseh, B, Desai, R, Deuschl, G, Dharmaratne, S, Dhimal, M, Dhungana, R, Dianatinasab, M, Diaz, D, Djalalinia, S, Dokova, K, Douiri, A, Duncan, B, Duraes, A, Eagan, A, Ebtehaj, S, Eftekhari, A, Eftekharzadeh, S, Ekholuenetale, M, El Nahas, N, Elgendy, I, Elhadi, M, El-Jaafary, S, Esteghamati, S, Etisso, A, Eyawo, O, Fadhil, I, Faraon, E, Faris, P, Farwati, M, Farzadfar, F, Fernandes, E, Fernandez Prendes, C, Ferrara, P, Filip, I, Fischer, F, Flood, D, Fukumoto, T, Gad, M, Gaidhane, S, Ganji, M, Garg, J, Gebre, A, Gebregiorgis, B, Gebregzabiher, K, Gebremeskel, G, Getacher, L, Obsa, A, Ghajar, A, Ghashghaee, A, Ghith, N, Giampaoli, S, Gilani, S, Gill, P, Gillum, R, Glushkova, E, Gnedovskaya, E, Golechha, M, Gonfa, K, Goudarzian, A, Goulart, A, Guadamuz, J, Guha, A, Guo, Y, Gupta, R, Hachinski, V, Hafezi-Nejad, N, Haile, T, Hamadeh, R, Hamidi, S, Hankey, G, Hargono, A, Hartono, R, Hashemian, M, Hashi, A, Hassan, S, Hassen, H, Havmoeller, R, Hay, S, Hayat, K, Heidari, G, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Ibeneme, C, Ibitoye, S, Ilesanmi, O, Ilic, I, Ilic, M, Iqbal, U, Irvani, S, Islam, S, Islam, R, Iso, H, Iwagami, M, Jain, V, Javaheri, T, Jayapal, S, Jayaram, S, Jayawardena, R, Jeemon, P, Jha, R, Jonas, J, Jonnagaddala, J, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kahlon, T, Kalani, R, Kalhor, R, Kamath, A, Kamel, I, Kandel, H, Kandel, A, Karch, A, Kasa, A, Katoto, P, Kayode, G, Khader, Y, Khammarnia, M, Khan, M, Khan, E, Khatab, K, Kibria, G, Kim, Y, Kim, G, Kimokoti, R, Kisa, S, Kisa, A, Kivimaki, M, Kolte, D, Koolivand, A, Korshunov, V, Koulmane Laxminarayana, S, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Kuate Defo, B, Kucuk Bicer, B, Kulkarni, V, Kumar, G, Kumar, N, Kurmi, O, Kusuma, D, Kwan, G, La Vecchia, C, Lacey, B, Lallukka, T, Lan, Q, Lasrado, S, Lassi, Z, Lauriola, P, Lawrence, W, Laxmaiah, A, Legrand, K, Li, M, Li, B, Li, S, Lim, S, Lim, L, Lin, H, Lin, Z, Lin, R, Liu, X, Lopez, A, Lorkowski, S, Lotufo, P, Lugo, A, M, N, Madotto, F, Mahmoudi, M, Majeed, A, Malekzadeh, R, Malik, A, Mamun, A, Manafi, N, Mansournia, M, Mantovani, L, Martini, S, Mathur, M, Mazzaglia, G, Mehata, S, Mehndiratta, M, Meier, T, Menezes, R, Meretoja, A, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mirrakhimov, E, Mirzaei, H, Moazen, B, Moghadaszadeh, M, Mohammad, Y, Mohammad, D, Mohammed, S, Mohammed, M, Mokhayeri, Y, Molokhia, M, Montasir, A, Moradi, G, Moradzadeh, R, Moraga, P, Morawska, L, Moreno Velasquez, I, Morze, J, Mubarik, S, Muruet, W, Musa, K, Nagarajan, A, Nalini, M, Nangia, V, Naqvi, A, Narasimha Swamy, S, Nascimento, B, Nayak, V, Nazari, J, Nazarzadeh, M, Negoi, R, Neupane Kandel, S, Nguyen, H, Nixon, M, Norrving, B, Noubiap, J, Nouthe, B, Nowak, C, Odukoya, O, Ogbo, F, Olagunju, A, Orru, H, Ortiz, A, Ostroff, S, Padubidri, J, Palladino, R, Pana, A, Panda-Jonas, S, Parekh, U, Park, E, Parvizi, M, Pashazadeh Kan, F, Patel, U, Pathak, M, Paudel, R, Pepito, V, Perianayagam, A, Perico, N, Pham, H, Pilgrim, T, Piradov, M, Pishgar, F, Podder, V, Polibin, R, Pourshams, A, Pribadi, D, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Ur Rahman, M, Rahman, M, Rahmani, A, Rakovac, I, Ram, P, Ramalingam, S, Rana, J, Ranasinghe, P, Rao, S, Rathi, P, Rawal, L, Rawasia, W, Rawassizadeh, R, Remuzzi, G, Renzaho, A, Rezapour, A, Riahi, S, Roberts-Thomson, R, Roever, L, Rohloff, P, Romoli, M, Roshandel, G, Rwegerera, G, Saadatagah, S, Saber-Ayad, M, Sabour, S, Sacco, S, Sadeghi, M, Saeedi Moghaddam, S, Safari, S, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, A, Santos, I, Santric-Milicevic, M, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sawhney, M, Saylan, M, Schmidt, M, Schutte, A, Senthilkumaran, S, Sepanlou, S, Sha, F, Shahabi, S, Shahid, I, Shaikh, M, Shamali, M, Shamsizadeh, M, Shawon, M, Sheikh, A, Shigematsu, M, Shin, M, Shin, J, Shiri, R, Shiue, I, Shuval, K, Siabani, S, Siddiqi, T, Silva, D, Singh, J, Mtech, A, Skryabin, V, Skryabina, A, Soheili, A, Spurlock, E, Stockfelt, L, Stortecky, S, Stranges, S, Suliankatchi Abdulkader, R, Tadbiri, H, Tadesse, E, Tadesse, D, Tajdini, M, Tariqujjaman, M, Teklehaimanot, B, Temsah, M, Tesema, A, Thakur, B, Thankappan, K, Thapar, R, Thrift, A, Timalsina, B, Tonelli, M, Touvier, M, Tovani-Palone, M, Tripathi, A, Tripathy, J, Truelsen, T, Tsegay, G, Tsegaye, G, Tsilimparis, N, Tusa, B, Tyrovolas, S, Umapathi, K, Unim, B, Unnikrishnan, B, Usman, M, Vaduganathan, M, Valdez, P, Vasankari, T, Velazquez, D, Venketasubramanian, N, Vu, G, Vujcic, I, Waheed, Y, Wang, Y, Wang, F, Wei, J, Weintraub, R, Weldemariam, A, Westerman, R, Winkler, A, Wiysonge, C, Wolfe, C, Wubishet, B, Xu, G, Yadollahpour, A, Yamagishi, K, Yan, L, Yandrapalli, S, Yano, Y, Yatsuya, H, Yeheyis, T, Yeshaw, Y, Yilgwan, C, Yonemoto, N, Yu, C, Yusefzadeh, H, Zachariah, G, Zaman, S, Zaman, M, Zamanian, M, Zand, R, Zandifar, A, Zarghi, A, Zastrozhin, M, Zastrozhina, A, Zhang, Z, Zhang, Y, Zhang, W, Zhong, C, Zou, Z, Zuniga, Y, Roth G. A., Mensah G. A., Johnson C. O., Addolorato G., Ammirati E., Baddour L. M., Barengo N. C., Beaton A. Z., Benjamin E. J., Benziger C. P., Bonny A., Brauer M., Brodmann M., Cahill T. J., Carapetis J., Catapano A. L., Chugh S. S., Cooper L. T., Coresh J., Criqui M., DeCleene N., Eagle K. A., Emmons-Bell S., Feigin V. L., Fernandez-Sola J., Fowkes G., Gakidou E., Grundy S. M., He F. J., Howard G., Hu F., Inker L., Karthikeyan G., Kassebaum N., Koroshetz W., Lavie C., Lloyd-Jones D., Lu H. S., Mirijello A., Temesgen A. M., Mokdad A., Moran A. E., Muntner P., Narula J., Neal B., Ntsekhe M., Moraes de Oliveira G., Otto C., Owolabi M., Pratt M., Rajagopalan S., Reitsma M., Ribeiro A. L. P., Rigotti N., Rodgers A., Sable C., Shakil S., Sliwa-Hahnle K., Stark B., Sundstrom J., Timpel P., Tleyjeh I. M., Valgimigli M., Vos T., Whelton P. K., Yacoub M., Zuhlke L., Murray C., Fuster V., Beaton A., Carapetis J. R., Chugh S., Criqui M. H., DeCleene N. K., Fowkes F. G. R., Kassebaum N. J., Koroshetz W. J., Misganaw A. T., Mokdad A. H., Oliveira G. M. M., Otto C. M., Owolabi M. O., Reitsma M. B., Rigotti N. A., Sable C. A., Shakil S. S., Sliwa K., Stark B. A., Tleyjeh I. I., Zuhlke L. J., Abbasi-Kangevari M., Abdi A., Abedi A., Aboyans V., Abrha W. A., Abu-Gharbieh E., Abushouk A. I., Acharya D., Adair T., Adebayo O. M., Ademi Z., Advani S. M., Afshari K., Afshin A., Agarwal G., Agasthi P., Ahmad S., Ahmadi S., Ahmed M. B., Aji B., Akalu Y., Akande-Sholabi W., Aklilu A., Akunna C. J., Alahdab F., Al-Eyadhy A., Alhabib K. F., Alif S. M., Alipour V., Aljunid S. M., Alla F., Almasi-Hashiani A., Almustanyir S., Al-Raddadi R. M., Amegah A. K., Amini S., Aminorroaya A., Amu H., Amugsi D. A., Ancuceanu R., Anderlini D., Andrei T., Andrei C. L., Ansari-Moghaddam A., Anteneh Z. A., Antonazzo I. C., Antony B., Anwer R., Appiah L. T., Arabloo J., Arnlov J., Artanti K. D., Ataro Z., Ausloos M., Avila-Burgos L., Awan A. T., Awoke M. A., Ayele H. T., Ayza M. A., Azari S., B D. B., Baheiraei N., Baig A. A., Bakhtiari A., Banach M., Banik P. C., Baptista E. A., Barboza M. A., Barua L., Basu S., Bedi N., Bejot Y., Bennett D. A., Bensenor I. M., Berman A. E., Bezabih Y. M., Bhagavathula A. S., Bhaskar S., Bhattacharyya K., Bijani A., Bikbov B., Birhanu M. M., Boloor A., Brant L. C., Brenner H., Briko N. I., Butt Z. A., Caetano dos Santos F. L., Cahill L. E., Cahuana-Hurtado L., Camera L. A., Campos-Nonato I. R., Cantu-Brito C., Car J., Carrero J. J., Carvalho F., Castaneda-Orjuela C. A., Catala-Lopez F., Cerin E., Charan J., Chattu V. K., Chen S., Chin K. L., Choi J. -Y. J., Chu D. -T., Chung S. -C., Cirillo M., Coffey S., Conti S., Costa V. M., Cundiff D. K., Dadras O., Dagnew B., Dai X., Damasceno A. A. M., Dandona L., Dandona R., Davletov K., De la Cruz-Gongora V., De la Hoz F. P., De Neve J. -W., Denova-Gutierrez E., Derbew Molla M., Derseh B. T., Desai R., Deuschl G., Dharmaratne S. D., Dhimal M., Dhungana R. R., Dianatinasab M., Diaz D., Djalalinia S., Dokova K., Douiri A., Duncan B. B., Duraes A. R., Eagan A. W., Ebtehaj S., Eftekhari A., Eftekharzadeh S., Ekholuenetale M., El Nahas N., Elgendy I. Y., Elhadi M., El-Jaafary S. I., Esteghamati S., Etisso A. E., Eyawo O., Fadhil I., Faraon E. J. A., Faris P. S., Farwati M., Farzadfar F., Fernandes E., Fernandez Prendes C., Ferrara P., Filip I., Fischer F., Flood D., Fukumoto T., Gad M. M., Gaidhane S., Ganji M., Garg J., Gebre A. K., Gebregiorgis B. G., Gebregzabiher K. Z., Gebremeskel G. G., Getacher L., Obsa A. G., Ghajar A., Ghashghaee A., Ghith N., Giampaoli S., Gilani S. A., Gill P. S., Gillum R. F., Glushkova E. V., Gnedovskaya E. V., Golechha M., Gonfa K. B., Goudarzian A. H., Goulart A. C., Guadamuz J. S., Guha A., Guo Y., Gupta R., Hachinski V., Hafezi-Nejad N., Haile T. G., Hamadeh R. R., Hamidi S., Hankey G. J., Hargono A., Hartono R. K., Hashemian M., Hashi A., Hassan S., Hassen H. Y., Havmoeller R. J., Hay S. I., Hayat K., Heidari G., Herteliu C., Holla R., Hosseini M., Hosseinzadeh M., Hostiuc M., Hostiuc S., Househ M., Huang J., Humayun A., Iavicoli I., Ibeneme C. U., Ibitoye S. E., Ilesanmi O. S., Ilic I. M., Ilic M. D., Iqbal U., Irvani S. S. N., Islam S. M. S., Islam R. M., Iso H., Iwagami M., Jain V., Javaheri T., Jayapal S. K., Jayaram S., Jayawardena R., Jeemon P., Jha R. P., Jonas J. B., Jonnagaddala J., Joukar F., Jozwiak J. J., Jurisson M., Kabir A., Kahlon T., Kalani R., Kalhor R., Kamath A., Kamel I., Kandel H., Kandel A., Karch A., Kasa A. S., Katoto P. D. M. C., Kayode G. A., Khader Y. S., Khammarnia M., Khan M. S., Khan M. N., Khan M., Khan E. A., Khatab K., Kibria G. M. A., Kim Y. J., Kim G. R., Kimokoti R. W., Kisa S., Kisa A., Kivimaki M., Kolte D., Koolivand A., Korshunov V. A., Koulmane Laxminarayana S. L., Koyanagi A., Krishan K., Krishnamoorthy V., Kuate Defo B., Kucuk Bicer B., Kulkarni V., Kumar G. A., Kumar N., Kurmi O. P., Kusuma D., Kwan G. F., La Vecchia C., Lacey B., Lallukka T., Lan Q., Lasrado S., Lassi Z. S., Lauriola P., Lawrence W. R., Laxmaiah A., LeGrand K. E., Li M. -C., Li B., Li S., Lim S. S., Lim L. -L., Lin H., Lin Z., Lin R. -T., Liu X., Lopez A. D., Lorkowski S., Lotufo P. A., Lugo A., M N. K., Madotto F., Mahmoudi M., Majeed A., Malekzadeh R., Malik A. A., Mamun A. A., Manafi N., Mansournia M. A., Mantovani L. G., Martini S., Mathur M. R., Mazzaglia G., Mehata S., Mehndiratta M. M., Meier T., Menezes R. G., Meretoja A., Mestrovic T., Miazgowski B., Miazgowski T., Michalek I. M., Miller T. R., Mirrakhimov E. M., Mirzaei H., Moazen B., Moghadaszadeh M., Mohammad Y., Mohammad D. K., Mohammed S., Mohammed M. A., Mokhayeri Y., Molokhia M., Montasir A. A., Moradi G., Moradzadeh R., Moraga P., Morawska L., Moreno Velasquez I., Morze J., Mubarik S., Muruet W., Musa K. I., Nagarajan A. J., Nalini M., Nangia V., Naqvi A. A., Narasimha Swamy S., Nascimento B. R., Nayak V. C., Nazari J., Nazarzadeh M., Negoi R. I., Neupane Kandel S., Nguyen H. L. T., Nixon M. R., Norrving B., Noubiap J. J., Nouthe B. E., Nowak C., Odukoya O. O., Ogbo F. A., Olagunju A. T., Orru H., Ortiz A., Ostroff S. M., Padubidri J. R., Palladino R., Pana A., Panda-Jonas S., Parekh U., Park E. -C., Parvizi M., Pashazadeh Kan F., Patel U. K., Pathak M., Paudel R., Pepito V. C. F., Perianayagam A., Perico N., Pham H. Q., Pilgrim T., Piradov M. A., Pishgar F., Podder V., Polibin R. V., Pourshams A., Pribadi D. R. A., Rabiee N., Rabiee M., Radfar A., Rafiei A., Rahim F., Rahimi-Movaghar V., Ur Rahman M. H., Rahman M. A., Rahmani A. M., Rakovac I., Ram P., Ramalingam S., Rana J., Ranasinghe P., Rao S. J., Rathi P., Rawal L., Rawasia W. F., Rawassizadeh R., Remuzzi G., Renzaho A. M. N., Rezapour A., Riahi S. M., Roberts-Thomson R. L., Roever L., Rohloff P., Romoli M., Roshandel G., Rwegerera G. M., Saadatagah S., Saber-Ayad M. M., Sabour S., Sacco S., Sadeghi M., Saeedi Moghaddam S., Safari S., Sahebkar A., Salehi S., Salimzadeh H., Samaei M., Samy A. M., Santos I. S., Santric-Milicevic M. M., Sarrafzadegan N., Sarveazad A., Sathish T., Sawhney M., Saylan M., Schmidt M. I., Schutte A. E., Senthilkumaran S., Sepanlou S. G., Sha F., Shahabi S., Shahid I., Shaikh M. A., Shamali M., Shamsizadeh M., Shawon M. S. R., Sheikh A., Shigematsu M., Shin M. -J., Shin J. I., Shiri R., Shiue I., Shuval K., Siabani S., Siddiqi T. J., Silva D. A. S., Singh J. A., Mtech A. S., Skryabin V. Y., Skryabina A. A., Soheili A., Spurlock E. E., Stockfelt L., Stortecky S., Stranges S., Suliankatchi Abdulkader R., Tadbiri H., Tadesse E. G., Tadesse D. B., Tajdini M., Tariqujjaman M., Teklehaimanot B. F., Temsah M. -H., Tesema A. K., Thakur B., Thankappan K. R., Thapar R., Thrift A. G., Timalsina B., Tonelli M., Touvier M., Tovani-Palone M. R., Tripathi A., Tripathy J. P., Truelsen T. C., Tsegay G. M., Tsegaye G. W., Tsilimparis N., Tusa B. S., Tyrovolas S., Umapathi K. K., Unim B., Unnikrishnan B., Usman M. S., Vaduganathan M., Valdez P. R., Vasankari T. J., Velazquez D. Z., Venketasubramanian N., Vu G. T., Vujcic I. S., Waheed Y., Wang Y., Wang F., Wei J., Weintraub R. G., Weldemariam A. H., Westerman R., Winkler A. S., Wiysonge C. S., Wolfe C. D. A., Wubishet B. L., Xu G., Yadollahpour A., Yamagishi K., Yan L. L., Yandrapalli S., Yano Y., Yatsuya H., Yeheyis T. Y., Yeshaw Y., Yilgwan C. S., Yonemoto N., Yu C., Yusefzadeh H., Zachariah G., Zaman S. B., Zaman M. S., Zamanian M., Zand R., Zandifar A., Zarghi A., Zastrozhin M. S., Zastrozhina A., Zhang Z. -J., Zhang Y., Zhang W., Zhong C., Zou Z., Zuniga Y. M. H., Murray C. J. L., Roth, G, Mensah, G, Johnson, C, Addolorato, G, Ammirati, E, Baddour, L, Barengo, N, Beaton, A, Benjamin, E, Benziger, C, Bonny, A, Brauer, M, Brodmann, M, Cahill, T, Carapetis, J, Catapano, A, Chugh, S, Cooper, L, Coresh, J, Criqui, M, Decleene, N, Eagle, K, Emmons-Bell, S, Feigin, V, Fernandez-Sola, J, Fowkes, G, Gakidou, E, Grundy, S, He, F, Howard, G, Hu, F, Inker, L, Karthikeyan, G, Kassebaum, N, Koroshetz, W, Lavie, C, Lloyd-Jones, D, Lu, H, Mirijello, A, Temesgen, A, Mokdad, A, Moran, A, Muntner, P, Narula, J, Neal, B, Ntsekhe, M, Moraes de Oliveira, G, Otto, C, Owolabi, M, Pratt, M, Rajagopalan, S, Reitsma, M, Ribeiro, A, Rigotti, N, Rodgers, A, Sable, C, Shakil, S, Sliwa-Hahnle, K, Stark, B, Sundstrom, J, Timpel, P, Tleyjeh, I, Valgimigli, M, Vos, T, Whelton, P, Yacoub, M, Zuhlke, L, Murray, C, Fuster, V, Fowkes, F, Misganaw, A, Oliveira, G, Sliwa, K, Abbasi-Kangevari, M, Abdi, A, Abedi, A, Aboyans, V, Abrha, W, Abu-Gharbieh, E, Abushouk, A, Acharya, D, Adair, T, Adebayo, O, Ademi, Z, Advani, S, Afshari, K, Afshin, A, Agarwal, G, Agasthi, P, Ahmad, S, Ahmadi, S, Ahmed, M, Aji, B, Akalu, Y, Akande-Sholabi, W, Aklilu, A, Akunna, C, Alahdab, F, Al-Eyadhy, A, Alhabib, K, Alif, S, Alipour, V, Aljunid, S, Alla, F, Almasi-Hashiani, A, Almustanyir, S, Al-Raddadi, R, Amegah, A, Amini, S, Aminorroaya, A, Amu, H, Amugsi, D, Ancuceanu, R, Anderlini, D, Andrei, T, Andrei, C, Ansari-Moghaddam, A, Anteneh, Z, Antonazzo, I, Antony, B, Anwer, R, Appiah, L, Arabloo, J, Arnlov, J, Artanti, K, Ataro, Z, Ausloos, M, Avila-Burgos, L, Awan, A, Awoke, M, Ayele, H, Ayza, M, Azari, S, B, D, Baheiraei, N, Baig, A, Bakhtiari, A, Banach, M, Banik, P, Baptista, E, Barboza, M, Barua, L, Basu, S, Bedi, N, Bejot, Y, Bennett, D, Bensenor, I, Berman, A, Bezabih, Y, Bhagavathula, A, Bhaskar, S, Bhattacharyya, K, Bijani, A, Bikbov, B, Birhanu, M, Boloor, A, Brant, L, Brenner, H, Briko, N, Butt, Z, Caetano dos Santos, F, Cahill, L, Cahuana-Hurtado, L, Camera, L, Campos-Nonato, I, Cantu-Brito, C, Car, J, Carrero, J, Carvalho, F, Castaneda-Orjuela, C, Catala-Lopez, F, Cerin, E, Charan, J, Chattu, V, Chen, S, Chin, K, Choi, J, Chu, D, Chung, S, Cirillo, M, Coffey, S, Conti, S, Costa, V, Cundiff, D, Dadras, O, Dagnew, B, Dai, X, Damasceno, A, Dandona, L, Dandona, R, Davletov, K, De la Cruz-Gongora, V, De la Hoz, F, De Neve, J, Denova-Gutierrez, E, Derbew Molla, M, Derseh, B, Desai, R, Deuschl, G, Dharmaratne, S, Dhimal, M, Dhungana, R, Dianatinasab, M, Diaz, D, Djalalinia, S, Dokova, K, Douiri, A, Duncan, B, Duraes, A, Eagan, A, Ebtehaj, S, Eftekhari, A, Eftekharzadeh, S, Ekholuenetale, M, El Nahas, N, Elgendy, I, Elhadi, M, El-Jaafary, S, Esteghamati, S, Etisso, A, Eyawo, O, Fadhil, I, Faraon, E, Faris, P, Farwati, M, Farzadfar, F, Fernandes, E, Fernandez Prendes, C, Ferrara, P, Filip, I, Fischer, F, Flood, D, Fukumoto, T, Gad, M, Gaidhane, S, Ganji, M, Garg, J, Gebre, A, Gebregiorgis, B, Gebregzabiher, K, Gebremeskel, G, Getacher, L, Obsa, A, Ghajar, A, Ghashghaee, A, Ghith, N, Giampaoli, S, Gilani, S, Gill, P, Gillum, R, Glushkova, E, Gnedovskaya, E, Golechha, M, Gonfa, K, Goudarzian, A, Goulart, A, Guadamuz, J, Guha, A, Guo, Y, Gupta, R, Hachinski, V, Hafezi-Nejad, N, Haile, T, Hamadeh, R, Hamidi, S, Hankey, G, Hargono, A, Hartono, R, Hashemian, M, Hashi, A, Hassan, S, Hassen, H, Havmoeller, R, Hay, S, Hayat, K, Heidari, G, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Ibeneme, C, Ibitoye, S, Ilesanmi, O, Ilic, I, Ilic, M, Iqbal, U, Irvani, S, Islam, S, Islam, R, Iso, H, Iwagami, M, Jain, V, Javaheri, T, Jayapal, S, Jayaram, S, Jayawardena, R, Jeemon, P, Jha, R, Jonas, J, Jonnagaddala, J, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kahlon, T, Kalani, R, Kalhor, R, Kamath, A, Kamel, I, Kandel, H, Kandel, A, Karch, A, Kasa, A, Katoto, P, Kayode, G, Khader, Y, Khammarnia, M, Khan, M, Khan, E, Khatab, K, Kibria, G, Kim, Y, Kim, G, Kimokoti, R, Kisa, S, Kisa, A, Kivimaki, M, Kolte, D, Koolivand, A, Korshunov, V, Koulmane Laxminarayana, S, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Kuate Defo, B, Kucuk Bicer, B, Kulkarni, V, Kumar, G, Kumar, N, Kurmi, O, Kusuma, D, Kwan, G, La Vecchia, C, Lacey, B, Lallukka, T, Lan, Q, Lasrado, S, Lassi, Z, Lauriola, P, Lawrence, W, Laxmaiah, A, Legrand, K, Li, M, Li, B, Li, S, Lim, S, Lim, L, Lin, H, Lin, Z, Lin, R, Liu, X, Lopez, A, Lorkowski, S, Lotufo, P, Lugo, A, M, N, Madotto, F, Mahmoudi, M, Majeed, A, Malekzadeh, R, Malik, A, Mamun, A, Manafi, N, Mansournia, M, Mantovani, L, Martini, S, Mathur, M, Mazzaglia, G, Mehata, S, Mehndiratta, M, Meier, T, Menezes, R, Meretoja, A, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mirrakhimov, E, Mirzaei, H, Moazen, B, Moghadaszadeh, M, Mohammad, Y, Mohammad, D, Mohammed, S, Mohammed, M, Mokhayeri, Y, Molokhia, M, Montasir, A, Moradi, G, Moradzadeh, R, Moraga, P, Morawska, L, Moreno Velasquez, I, Morze, J, Mubarik, S, Muruet, W, Musa, K, Nagarajan, A, Nalini, M, Nangia, V, Naqvi, A, Narasimha Swamy, S, Nascimento, B, Nayak, V, Nazari, J, Nazarzadeh, M, Negoi, R, Neupane Kandel, S, Nguyen, H, Nixon, M, Norrving, B, Noubiap, J, Nouthe, B, Nowak, C, Odukoya, O, Ogbo, F, Olagunju, A, Orru, H, Ortiz, A, Ostroff, S, Padubidri, J, Palladino, R, Pana, A, Panda-Jonas, S, Parekh, U, Park, E, Parvizi, M, Pashazadeh Kan, F, Patel, U, Pathak, M, Paudel, R, Pepito, V, Perianayagam, A, Perico, N, Pham, H, Pilgrim, T, Piradov, M, Pishgar, F, Podder, V, Polibin, R, Pourshams, A, Pribadi, D, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Ur Rahman, M, Rahman, M, Rahmani, A, Rakovac, I, Ram, P, Ramalingam, S, Rana, J, Ranasinghe, P, Rao, S, Rathi, P, Rawal, L, Rawasia, W, Rawassizadeh, R, Remuzzi, G, Renzaho, A, Rezapour, A, Riahi, S, Roberts-Thomson, R, Roever, L, Rohloff, P, Romoli, M, Roshandel, G, Rwegerera, G, Saadatagah, S, Saber-Ayad, M, Sabour, S, Sacco, S, Sadeghi, M, Saeedi Moghaddam, S, Safari, S, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, A, Santos, I, Santric-Milicevic, M, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sawhney, M, Saylan, M, Schmidt, M, Schutte, A, Senthilkumaran, S, Sepanlou, S, Sha, F, Shahabi, S, Shahid, I, Shaikh, M, Shamali, M, Shamsizadeh, M, Shawon, M, Sheikh, A, Shigematsu, M, Shin, M, Shin, J, Shiri, R, Shiue, I, Shuval, K, Siabani, S, Siddiqi, T, Silva, D, Singh, J, Mtech, A, Skryabin, V, Skryabina, A, Soheili, A, Spurlock, E, Stockfelt, L, Stortecky, S, Stranges, S, Suliankatchi Abdulkader, R, Tadbiri, H, Tadesse, E, Tadesse, D, Tajdini, M, Tariqujjaman, M, Teklehaimanot, B, Temsah, M, Tesema, A, Thakur, B, Thankappan, K, Thapar, R, Thrift, A, Timalsina, B, Tonelli, M, Touvier, M, Tovani-Palone, M, Tripathi, A, Tripathy, J, Truelsen, T, Tsegay, G, Tsegaye, G, Tsilimparis, N, Tusa, B, Tyrovolas, S, Umapathi, K, Unim, B, Unnikrishnan, B, Usman, M, Vaduganathan, M, Valdez, P, Vasankari, T, Velazquez, D, Venketasubramanian, N, Vu, G, Vujcic, I, Waheed, Y, Wang, Y, Wang, F, Wei, J, Weintraub, R, Weldemariam, A, Westerman, R, Winkler, A, Wiysonge, C, Wolfe, C, Wubishet, B, Xu, G, Yadollahpour, A, Yamagishi, K, Yan, L, Yandrapalli, S, Yano, Y, Yatsuya, H, Yeheyis, T, Yeshaw, Y, Yilgwan, C, Yonemoto, N, Yu, C, Yusefzadeh, H, Zachariah, G, Zaman, S, Zaman, M, Zamanian, M, Zand, R, Zandifar, A, Zarghi, A, Zastrozhin, M, Zastrozhina, A, Zhang, Z, Zhang, Y, Zhang, W, Zhong, C, Zou, Z, Zuniga, Y, Roth G. A., Mensah G. A., Johnson C. O., Addolorato G., Ammirati E., Baddour L. M., Barengo N. C., Beaton A. Z., Benjamin E. J., Benziger C. P., Bonny A., Brauer M., Brodmann M., Cahill T. J., Carapetis J., Catapano A. L., Chugh S. S., Cooper L. T., Coresh J., Criqui M., DeCleene N., Eagle K. A., Emmons-Bell S., Feigin V. L., Fernandez-Sola J., Fowkes G., Gakidou E., Grundy S. M., He F. J., Howard G., Hu F., Inker L., Karthikeyan G., Kassebaum N., Koroshetz W., Lavie C., Lloyd-Jones D., Lu H. S., Mirijello A., Temesgen A. M., Mokdad A., Moran A. E., Muntner P., Narula J., Neal B., Ntsekhe M., Moraes de Oliveira G., Otto C., Owolabi M., Pratt M., Rajagopalan S., Reitsma M., Ribeiro A. L. P., Rigotti N., Rodgers A., Sable C., Shakil S., Sliwa-Hahnle K., Stark B., Sundstrom J., Timpel P., Tleyjeh I. M., Valgimigli M., Vos T., Whelton P. K., Yacoub M., Zuhlke L., Murray C., Fuster V., Beaton A., Carapetis J. R., Chugh S., Criqui M. H., DeCleene N. K., Fowkes F. G. R., Kassebaum N. J., Koroshetz W. J., Misganaw A. T., Mokdad A. H., Oliveira G. M. M., Otto C. M., Owolabi M. O., Reitsma M. B., Rigotti N. A., Sable C. A., Shakil S. S., Sliwa K., Stark B. A., Tleyjeh I. I., Zuhlke L. J., Abbasi-Kangevari M., Abdi A., Abedi A., Aboyans V., Abrha W. A., Abu-Gharbieh E., Abushouk A. I., Acharya D., Adair T., Adebayo O. M., Ademi Z., Advani S. M., Afshari K., Afshin A., Agarwal G., Agasthi P., Ahmad S., Ahmadi S., Ahmed M. B., Aji B., Akalu Y., Akande-Sholabi W., Aklilu A., Akunna C. J., Alahdab F., Al-Eyadhy A., Alhabib K. F., Alif S. M., Alipour V., Aljunid S. M., Alla F., Almasi-Hashiani A., Almustanyir S., Al-Raddadi R. M., Amegah A. K., Amini S., Aminorroaya A., Amu H., Amugsi D. A., Ancuceanu R., Anderlini D., Andrei T., Andrei C. L., Ansari-Moghaddam A., Anteneh Z. A., Antonazzo I. C., Antony B., Anwer R., Appiah L. T., Arabloo J., Arnlov J., Artanti K. D., Ataro Z., Ausloos M., Avila-Burgos L., Awan A. T., Awoke M. A., Ayele H. T., Ayza M. A., Azari S., B D. B., Baheiraei N., Baig A. A., Bakhtiari A., Banach M., Banik P. C., Baptista E. A., Barboza M. A., Barua L., Basu S., Bedi N., Bejot Y., Bennett D. A., Bensenor I. M., Berman A. E., Bezabih Y. M., Bhagavathula A. S., Bhaskar S., Bhattacharyya K., Bijani A., Bikbov B., Birhanu M. M., Boloor A., Brant L. C., Brenner H., Briko N. I., Butt Z. A., Caetano dos Santos F. L., Cahill L. E., Cahuana-Hurtado L., Camera L. A., Campos-Nonato I. R., Cantu-Brito C., Car J., Carrero J. J., Carvalho F., Castaneda-Orjuela C. A., Catala-Lopez F., Cerin E., Charan J., Chattu V. K., Chen S., Chin K. L., Choi J. -Y. J., Chu D. -T., Chung S. -C., Cirillo M., Coffey S., Conti S., Costa V. M., Cundiff D. K., Dadras O., Dagnew B., Dai X., Damasceno A. A. M., Dandona L., Dandona R., Davletov K., De la Cruz-Gongora V., De la Hoz F. P., De Neve J. -W., Denova-Gutierrez E., Derbew Molla M., Derseh B. T., Desai R., Deuschl G., Dharmaratne S. D., Dhimal M., Dhungana R. R., Dianatinasab M., Diaz D., Djalalinia S., Dokova K., Douiri A., Duncan B. B., Duraes A. R., Eagan A. W., Ebtehaj S., Eftekhari A., Eftekharzadeh S., Ekholuenetale M., El Nahas N., Elgendy I. Y., Elhadi M., El-Jaafary S. I., Esteghamati S., Etisso A. E., Eyawo O., Fadhil I., Faraon E. J. A., Faris P. S., Farwati M., Farzadfar F., Fernandes E., Fernandez Prendes C., Ferrara P., Filip I., Fischer F., Flood D., Fukumoto T., Gad M. M., Gaidhane S., Ganji M., Garg J., Gebre A. K., Gebregiorgis B. G., Gebregzabiher K. Z., Gebremeskel G. G., Getacher L., Obsa A. G., Ghajar A., Ghashghaee A., Ghith N., Giampaoli S., Gilani S. A., Gill P. S., Gillum R. F., Glushkova E. V., Gnedovskaya E. V., Golechha M., Gonfa K. B., Goudarzian A. H., Goulart A. C., Guadamuz J. S., Guha A., Guo Y., Gupta R., Hachinski V., Hafezi-Nejad N., Haile T. G., Hamadeh R. R., Hamidi S., Hankey G. J., Hargono A., Hartono R. K., Hashemian M., Hashi A., Hassan S., Hassen H. Y., Havmoeller R. J., Hay S. I., Hayat K., Heidari G., Herteliu C., Holla R., Hosseini M., Hosseinzadeh M., Hostiuc M., Hostiuc S., Househ M., Huang J., Humayun A., Iavicoli I., Ibeneme C. U., Ibitoye S. E., Ilesanmi O. S., Ilic I. M., Ilic M. D., Iqbal U., Irvani S. S. N., Islam S. M. S., Islam R. M., Iso H., Iwagami M., Jain V., Javaheri T., Jayapal S. K., Jayaram S., Jayawardena R., Jeemon P., Jha R. P., Jonas J. B., Jonnagaddala J., Joukar F., Jozwiak J. J., Jurisson M., Kabir A., Kahlon T., Kalani R., Kalhor R., Kamath A., Kamel I., Kandel H., Kandel A., Karch A., Kasa A. S., Katoto P. D. M. C., Kayode G. A., Khader Y. S., Khammarnia M., Khan M. S., Khan M. N., Khan M., Khan E. A., Khatab K., Kibria G. M. A., Kim Y. J., Kim G. R., Kimokoti R. W., Kisa S., Kisa A., Kivimaki M., Kolte D., Koolivand A., Korshunov V. A., Koulmane Laxminarayana S. L., Koyanagi A., Krishan K., Krishnamoorthy V., Kuate Defo B., Kucuk Bicer B., Kulkarni V., Kumar G. A., Kumar N., Kurmi O. P., Kusuma D., Kwan G. F., La Vecchia C., Lacey B., Lallukka T., Lan Q., Lasrado S., Lassi Z. S., Lauriola P., Lawrence W. R., Laxmaiah A., LeGrand K. E., Li M. -C., Li B., Li S., Lim S. S., Lim L. -L., Lin H., Lin Z., Lin R. -T., Liu X., Lopez A. D., Lorkowski S., Lotufo P. A., Lugo A., M N. K., Madotto F., Mahmoudi M., Majeed A., Malekzadeh R., Malik A. A., Mamun A. A., Manafi N., Mansournia M. A., Mantovani L. G., Martini S., Mathur M. R., Mazzaglia G., Mehata S., Mehndiratta M. M., Meier T., Menezes R. G., Meretoja A., Mestrovic T., Miazgowski B., Miazgowski T., Michalek I. M., Miller T. R., Mirrakhimov E. M., Mirzaei H., Moazen B., Moghadaszadeh M., Mohammad Y., Mohammad D. K., Mohammed S., Mohammed M. A., Mokhayeri Y., Molokhia M., Montasir A. A., Moradi G., Moradzadeh R., Moraga P., Morawska L., Moreno Velasquez I., Morze J., Mubarik S., Muruet W., Musa K. I., Nagarajan A. J., Nalini M., Nangia V., Naqvi A. A., Narasimha Swamy S., Nascimento B. R., Nayak V. C., Nazari J., Nazarzadeh M., Negoi R. I., Neupane Kandel S., Nguyen H. L. T., Nixon M. R., Norrving B., Noubiap J. J., Nouthe B. E., Nowak C., Odukoya O. O., Ogbo F. A., Olagunju A. T., Orru H., Ortiz A., Ostroff S. M., Padubidri J. R., Palladino R., Pana A., Panda-Jonas S., Parekh U., Park E. -C., Parvizi M., Pashazadeh Kan F., Patel U. K., Pathak M., Paudel R., Pepito V. C. F., Perianayagam A., Perico N., Pham H. Q., Pilgrim T., Piradov M. A., Pishgar F., Podder V., Polibin R. V., Pourshams A., Pribadi D. R. A., Rabiee N., Rabiee M., Radfar A., Rafiei A., Rahim F., Rahimi-Movaghar V., Ur Rahman M. H., Rahman M. A., Rahmani A. M., Rakovac I., Ram P., Ramalingam S., Rana J., Ranasinghe P., Rao S. J., Rathi P., Rawal L., Rawasia W. F., Rawassizadeh R., Remuzzi G., Renzaho A. M. N., Rezapour A., Riahi S. M., Roberts-Thomson R. L., Roever L., Rohloff P., Romoli M., Roshandel G., Rwegerera G. M., Saadatagah S., Saber-Ayad M. M., Sabour S., Sacco S., Sadeghi M., Saeedi Moghaddam S., Safari S., Sahebkar A., Salehi S., Salimzadeh H., Samaei M., Samy A. M., Santos I. S., Santric-Milicevic M. M., Sarrafzadegan N., Sarveazad A., Sathish T., Sawhney M., Saylan M., Schmidt M. I., Schutte A. E., Senthilkumaran S., Sepanlou S. G., Sha F., Shahabi S., Shahid I., Shaikh M. A., Shamali M., Shamsizadeh M., Shawon M. S. R., Sheikh A., Shigematsu M., Shin M. -J., Shin J. I., Shiri R., Shiue I., Shuval K., Siabani S., Siddiqi T. J., Silva D. A. S., Singh J. A., Mtech A. S., Skryabin V. Y., Skryabina A. A., Soheili A., Spurlock E. E., Stockfelt L., Stortecky S., Stranges S., Suliankatchi Abdulkader R., Tadbiri H., Tadesse E. G., Tadesse D. B., Tajdini M., Tariqujjaman M., Teklehaimanot B. F., Temsah M. -H., Tesema A. K., Thakur B., Thankappan K. R., Thapar R., Thrift A. G., Timalsina B., Tonelli M., Touvier M., Tovani-Palone M. R., Tripathi A., Tripathy J. P., Truelsen T. C., Tsegay G. M., Tsegaye G. W., Tsilimparis N., Tusa B. S., Tyrovolas S., Umapathi K. K., Unim B., Unnikrishnan B., Usman M. S., Vaduganathan M., Valdez P. R., Vasankari T. J., Velazquez D. Z., Venketasubramanian N., Vu G. T., Vujcic I. S., Waheed Y., Wang Y., Wang F., Wei J., Weintraub R. G., Weldemariam A. H., Westerman R., Winkler A. S., Wiysonge C. S., Wolfe C. D. A., Wubishet B. L., Xu G., Yadollahpour A., Yamagishi K., Yan L. L., Yandrapalli S., Yano Y., Yatsuya H., Yeheyis T. Y., Yeshaw Y., Yilgwan C. S., Yonemoto N., Yu C., Yusefzadeh H., Zachariah G., Zaman S. B., Zaman M. S., Zamanian M., Zand R., Zandifar A., Zarghi A., Zastrozhin M. S., Zastrozhina A., Zhang Z. -J., Zhang Y., Zhang W., Zhong C., Zou Z., Zuniga Y. M. H., and Murray C. J. L.

Abstract

Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019. Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019. Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside

Published
2020

18. Numerical analysis of reducing tunneling effect on viaduct piles foundation by jet grouted wall

Author

Mohamed A. Bahr, Mohmed Tarek Fouad, Ahmed N. El-Attar, and Kamel I. Asker

Subjects
Jet (fluid), Geochemistry and Petrology, Numerical analysis, Foundation (engineering), Mechanics, Geotechnical Engineering and Engineering Geology, Geology, Quantum tunnelling
Abstract

Purpose. The target of this study is divided into two parts. The first part is concerned with capability of numerical model to simulate the tunneling process. The second part is related to studying the interaction mechanism between the tunnel, protection technique, and soil. This study themes are investigated by analyzing different protection technique configuration, considering different stiffness of the grouted wall, and applying different interface coefficient between the wall and the soil. Methods. The method used in this study to check the accuracy of the proposed numerical model is 4-D ABAQUS program. The typical excavation of a tunnel is simulated step by step with an assumed rate of tunnel advancement (0.5 to 1.5 m/hr). The soil material utilized in this model is elastic perfectly plastic (the Mohr-Сoulomb criterion), while elastic material is modeled as solid element (S4R) adopted for lining, grouting, filling gaps, shielding, constructing piles, and jet grouted wall. Findings. Results showed that the closer jet grouting to the tunnel with embedded length of 1.5 times tunnel diameter, the better effect on reducing the lateral deformation and bending moment generated on piles. Otherwise, increasing wall thickness more than double grouted column diameter would not affect its shielding efficiency. Furthermore, either increasing or decreasing friction coefficient even if rough between the grouted wall and soil had no effect on the pile behavior. Additionally, applying Mohr-Coulomb criteria for grouted wall with high stiffness allowed realistic response of the pile group. Originality.Capability of the proposed model is verified by back analysis of Changsha Subway Line 1 project, where the shield tunnel would be constructed near existing pile groups of L off-ramp of the Xinzhong Road viaduct. Practical implications. Increasing grouted wall configuration is more effective than mechanical properties or its interface coefficient with surrounded soil in mitigating tunneling effect on nearby piles. Keywords: tunneling, jet grouting, gield measurements, ABAQUS, Changsha Subway Line 1

Published
2021

20. Efficacy of Ginger and Nutritox® in counteracting aflatoxin effects on white Pekin ducklings

Author

Sanaa S. A. Awad, Walaa A Abu El-Ela, and Kamel I. Abou El-Azm

Subjects
Aflatoxin, chemistry.chemical_compound, Antioxidant, Animal science, chemistry, medicine.medical_treatment, medicine, Broiler, Alkaline phosphatase, Glutathione, Alanine aminotransferase, Biology, Adverse effect
Abstract

Objective: To evaluate the anti-aflatoxin effects of Ginger and Nutritox® in white Pekin ducklings. Design: Randomized experimental study Animals: Ninty- one-day-old white Pekin ducklings. Procedures: Ducklings were alienated randomly into six equal groups, each group in 3 replicates (each replicate, n=5). Control group G1) was fed on commercial broiler basal diet without any medications, while other experimental groups, namely 2, 3, 4, 5 and 6 were received diet containing: G2) basal diet (BD) + 300 ppb AF (aflatoxin); G3) BD + 300 ppb AF + 250 mg kg-1 Gr (Ginger); G4) BD +300 ppb AF +1gm/kg feed Nutritox®; G5) BD + 250 mg kg-1 mg/kg of B.W Gr; G6) BD + 1gm/kg feed Nutritox® during study (1-14) days respectively. Results: Results showed that, addition of Ginger and Nutritox® ameliorated in different degrees the adverse effects of aflatoxin and improved growth performance and some serum biochemical parameters [Aspartate aminotransferase (AST), alanine aminotransferase (ALT) and Alkaline phosphatase (ALP)]. They hasten the recovery of antioxidant enzymes (MDA and GSH) in tissue to their normal levels during certain periods of our experiments. Histopathological liver changes run in the same track with biochemical results. Results revealed that administration of Ginger or Nutritox® in diet prevents and/or reduce some adverse effects of aflatoxin in ducks. Conclusion and clinical relevance: Our study indicates that ginger, an alternative natural product can provide protection against aflatoxin as Nutritox®.

Published
2019

21. Prognostic value of strain by feature-tracking cardiac magnetic resonance in arrhythmogenic right ventricular cardiomyopathy

Author

Bourfiss, M, primary, Prakken, N H J, additional, James, C A, additional, Planken, R N, additional, Boekholdt, S M, additional, Ahmetagic, D, additional, van den Berg, M P, additional, Tichnell, C, additional, Van der Heijden, J F, additional, Loh, P, additional, Murray, B, additional, Tandri, H, additional, Kamel, I, additional, Calkins, H, additional, Asselbergs, F W, additional, Zimmerman, S L, additional, Velthuis, B K, additional, and Te Riele, A S J M, additional

Published
2022
Full Text
View/download PDF

24. Prognostic value of strain by feature-tracking cardiac magnetic resonance in arrhythmogenic right ventricular cardiomyopathy.

Author

Bourfiss, M, Prakken, N H J, James, C A, Planken, R N, Boekholdt, S M, Ahmetagic, D, Berg, M P van den, Tichnell, C, Heijden, J F Van der, Loh, P, Murray, B, Tandri, H, Kamel, I, Calkins, H, Asselbergs, F W, Zimmerman, S L, Velthuis, B K, and Riele, A S J M Te

Subjects
PATIENT aftercare, VENTRICULAR ejection fraction, RIGHT heart ventricle, ARRHYTHMOGENIC right ventricular dysplasia, MAGNETIC resonance imaging, REGRESSION analysis, RISK assessment, SYMPTOMS, DESCRIPTIVE statistics, DEATH, DISEASE risk factors, DISEASE complications
Abstract

Aims Arrhythmogenic right ventricular cardiomyopathy (ARVC) is characterized by ventricular dysfunction and ventricular arrhythmias (VA). Adequate arrhythmic risk assessment is important to prevent sudden cardiac death. We aimed to study the incremental value of strain by feature-tracking cardiac magnetic resonance imaging (FT-CMR) in predicting sustained VA in ARVC patients. Methods and results CMR images of 132 ARVC patients (43% male, 40.6 ± 16.0 years) without prior VA were analysed for global and regional right and left ventricular (RV, LV) strain. Primary outcome was sustained VA during follow-up. We performed multivariable regression assessing strain, in combination with (i) RV ejection fraction (EF); (ii) LVEF; and (iii) the ARVC risk calculator. False discovery rate adjusted P -values were given to correct for multiple comparisons and c-statistics were calculated for each model. During 4.3 (2.0–7.9) years of follow-up, 19% of patients experienced sustained VA. Compared to patients without VA, those with VA had significantly reduced RV longitudinal (P  ≤ 0.03) and LV circumferential (P  ≤ 0.04) strain. In addition, patients with VA had significantly reduced biventricular EF (P  ≤ 0.02). After correcting for RVEF, LVEF, and the ARVC risk calculator separately in multivariable analysis, both RV and LV strain lost their significance [hazard ratio 1.03–1.18, P  > 0.05]. Likewise, while strain improved the c-statistic in combination with RVEF, LVEF, and the ARVC risk calculator separately, this did not reach statistical significance (P  ≥ 0.18). Conclusion Both RV longitudinal and LV circumferential strain are reduced in ARVC patients with sustained VA during follow-up. However, strain does not have incremental value over RVEF, LVEF, and the ARVC VA risk calculator. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

25. Growth performance, Carcass Characteristics , Economic Efficiency and blood Biochemical of broiler chicks fed different levels of Wild Mint (Mentha longifolia) and Sage (Salvia officinalis) plants

Author

Mai AbdElAti, Mahmoud A. AbdEl-Ghaffar, Kamel I. Said, and Ahmed Ali

Subjects
Globulin, SAGE, Salvia officinalis, Broiler, Serum protein, Biology, biology.organism_classification, Lung weight, food.food, food, Animal science, biology.protein, Gizzard, Mentha longifolia
Abstract

This study was conducted to determine the performance of broilers fed diets supplemented with dry wild mint (Mentha longifolia) and sage (Salvia officinalis) leaves and which are among the alternative growth promoters. A total number of 315 unsexed broilers seven-day old (Ross 308) were randomly allocated to seven treatments with three replicates. The dietary treatments consisted of the basal diet as control (T1), 10 (T2), 20 (T3) and 30 (T4) g/kg wild mint, 10 (T5), 20 (T6) and 30 (T7) g/kg sage added to the basal diet. The results showed birds fed on diet with 20 g/kg wild mint leaf powder significantly had (P≤0.05) the best body weight and FCR as compared to the group fed on 20 and 30 g/kg of sage without any significant effects compared with the other groups. Birds fed on control groups consumed higher (P≤0.05) feed intake compared with the other treatments. Supplemented broiler diets with 20 g/kg wild mint significantly increased slaughter, carcass, gizzard, liver, leg, giblet and total giblet weight compared with chicks fed on diet supplemented with either 20 or 30 g/kg sage without any significant with the rest group. Not significant affected were observed on heart, head, gut and lung weight due to the treatments. Birds fed in diet supplemented with 20 g/kg wild mint had the highest values of net revenue and economic efficiency compared with the control group . Blood biochemical parameters including serum protein, albumin, globulin, A/G ratio, and glucose concentrations were not statistically (P>0.05) influenced among all treatments.

Published
2021

26. Molecular detection and characterization of fowl adenovirus associated with inclusion body hepatitis from broiler chickens in Egypt

Author

Kamel I. Abou El-Azm and Mohamed El-Tholoth

Subjects
Serotype, animal structures, 040301 veterinary sciences, Adenoviridae Infections, Hepatitis, Animal, Biology, Virus, Inclusion Bodies, Viral, Infectious bursal disease, 0403 veterinary science, Viral Proteins, Food Animals, medicine, Animals, Bursa of Fabricius, Phylogeny, Poultry Diseases, DNA Polymerase III, Hepatitis, business.industry, Aviadenovirus, Incidence, 0402 animal and dairy science, Broiler, 04 agricultural and veterinary sciences, Poultry farming, medicine.disease, 040201 dairy & animal science, Virology, Case-Control Studies, Egypt, Animal Science and Zoology, Flock, business, Chickens
Abstract

A case-control study was performed to assess prescence of inclusion body hepatitis (IBH) caused by fowl adenoviruses (FAdVs) at Kafr EL-Shiekh Governorate, Egypt, during spring, 2017. The case group consisted of 100 liver and spleen samples collected from 10 broiler chickens flocks (10 samples from each flock) suspected to be infected with IBH depending on clinical manefestations and necropsy examination. Controls were randamly selected from chickens without clinical sings or evidence of the disease on postmortem examination. Molecular screening of the disease disease in collected samples based on the DNA polymerase gene of FAdVs was carried out. Furthermore, the DNA polymerase gene sequence was determined and analyzed with published reference sequences on GeneBank. Respectively, enzyme-linked immunosorbent assay (ELISA) and reverse transcription-polymerase chain reaction (RT-PCR) were used to confirm existence of co-infection with chicken infectious anemia virus (CIAV) and/or infectious bursal disease virus (IBDV in flocks involved in the study. Using PCR, FAdV genome was detected in seven flocks in the case group and one in the control group. FAdV identified in this study revealed close genetic relationship with FAdVs-D previously identified in UK and Canada, suggesting potential virus transmission from these countries. All tested serum samples from diseased chickens were positive for CIAV infection via ELISA while none of the collected bursa of Fabricius samples tested IBDV positive by RT-PCR. Therefore, results obtained from the current study highlighted the importance of implementation of control measures against FAdV and CIAV in Egyptian poultry flocks. This study opens the door for future work toward specific identification of FAdV serotypes circulating in Egyptian poultry farms and molecular characterization of the virus based on hexon gene or full genome sequencing for better understanding of genetic diversity among FAdVs in Egypt at higher reolution.

Published
2019

27. An Evaluation of the COVID-19 Pandemic and Perceived Social Distancing Policies in Relation to Planning, Selecting, and Preparing Healthy Meals

Author

Backer, C.D., Teunissen, L., Cuykx, I., Decorte, P., Pabian, S., Gerritsen, S., Matthys, C., Sabbah, H.A., Royen, K.V., Bergheim, I., Staltner, R., Devine, A., Sambell, R., Wallace, R., Allehdan, S.S., Alalwan, T.A., Al-Mannai, M.A., Ismail, L.C., Ouvrein, G., Poels, K., Vandebosch, H., Maldoy, K., Smits, T., Vrinten, J., Desmet, A., Teughels, N., Geuens, M., Vermeir, I., Proesmans, V., Hudders, L., De Barcellos, M.D., Ostermann, C., Brock, A.L., Favieiro, C., Trizotto, R., Stangherlin, I., Mafra, A.L., Varella, M.A.C., Valentova, J.V., Fisher, M.L., Maceacheron, M., White, K., Habib, R., Dobson, D.S., Schnettler, B., Orellana, L., Miranda-Zapata, E., Chang, A.W.-Y., Jiao, W., Tingchi, M., Liu, Grunert, K.G., Christensen, R.N., Reisch, L., Janssen, M., Abril-Ulloa, V., Encalada, L., Kamel, I., Vainio, A., Niva, M., Salmivaara, L., Makela, J., Torkkeli, K., Mai, R., Kerschke-Risch, P., Altsitsiadis, E., Stamos, A., Antronikidis, A., Tsafarakis, S., Delias, P., Rasekhi, H., Vafa, M.R., Majid, K., Eftekhari, H., Henchion, M., McCarthy, S., McCarthy, M., Micalizzi, A., Schulz, P.J., Farinosi, M., Komatsu, H., Tanaka, N., Kubota, H., Tayyem, R., Al-Awwad, N.J., Al-Bayyari, N., Ibrahim, M.O., Hammouh, F., Dashti, S., Dashti, B., Alkharaif, D., Alshatti, A., Mazedi, M.A., Hoteit, M., Mansour, R., Naim, E., Mortada, H., Gomez, Y.Y.G., Geyskens, K., Goukens, C., Roy, R., Egli, V., Morenga, L.T., Waly, M., Qasrawi, R., Hamdan, M., Sier, R.A., Al Halawa, D.A., Al Sabbah, H., Agha, H., Liria-Dominguez, M.R., Palomares, L., Sowicz, G.W., Bawadi, H., Othman, M., Pakari, J., Farha, A.A., Abu-El-ruz, R., Petrescu, D.C., Petrescu-Mag, R.M., Arion, F., Vesa, S.C., Alkhalaf, M.M., Bookari, K., Arrish, J., Rahim, Z., Kheng, R., Ngqangashe, Y., McHiza, Z.J.-R., Gonzalez-Gross, M., Pantoja-Arevalo, L., Gesteiro, E., Rios, Y., Yiga, P., Ogwok, P., Ocen, D., Bamuwamye, M., Taha, Z., Aldhaheri, A., Pineda, E., Miraldo, M., Holford, D.L., Van den Bulck, H., Language, Communication and Cognition, Corona Cooking Survey Study Group, Helsinki Institute of Sustainability Science (HELSUS), Department of Forest Sciences, Department of Social Research (2010-2017), Department of Economics and Management, Teacher Education, Department of Education, Maker@STEAM, Forest Economics, Business and Society, Consumer Studies Research Group, Marketing & Supply Chain Management, RS: GSBE Theme Human Decisions and Policy Design, and RS: GSBE Theme Data-Driven Decision-Making

Subjects
0301 basic medicine, Gerontology, STRESS, Endocrinology, Diabetes and Metabolism, Social Sciences, B400, COOKING, food selection, 0302 clinical medicine, Endocrinology, psychological distress, Pandemic, 030212 general & internal medicine, media_common, Nutrition and Dietetics, food preparation, Social distance, Multilevel model, Brief Research Report, Health equity, Diabetes and Metabolism, nutrition, Feeling, OBESITY, Food selection, 3143 Nutrition, Psychology, TEMPO, time availability, Life Sciences & Biomedicine, lcsh:Nutrition. Foods and food supply, 1001 Agricultural Biotechnology, Food preparation, Coronavirus disease 2019 (COVID-19), media_common.quotation_subject, lcsh:TX341-641, D600, 03 medical and health sciences, Sciences sociales, TIME PRESSURE, 030109 nutrition & dietetics, Science & Technology, Nutrition & Dietetics, COVID-19, food literacy, Sciences humaines, Enabling, Corona Cooking Survey Study Group, Observational study, 1111 Nutrition and Dietetics, Human medicine, food planning, Food Science
Abstract

ObjectivesTo examine changes in planning, selecting, and preparing healthy foods in relation to personal factors (time, money, stress) and social distancing policies during the COVID-19 crisis.MethodsUsing cross-sectional online surveys collected in 38 countries worldwide in April-June 2020 (N = 37,207, Mage 36.7 SD 14.43, 73.6% women), we compared changes in food literacy behaviors to changes in personal factors and social distancing policies, using hierarchical multiple regression analyses controlling for sociodemographic variables.ResultsIncreases in planning (4.7 SD 1.2, 4.9 SD 1.3), selecting (3.8 SD 1.7, 3.8 SD 1.7), and preparing (4.6 SD 1.3, 4.7 SD 1.3) healthy foods were found for women and men, and positively related to perceived time availability among women and stay-at-home policies for planning and preparing in women. Psychological distress was a barrier for women, and an enabler for men. COVID-19 induced financial stress was a barrier depending on various sociodemographic variables (all p < 0.01).ConclusionStay-at-home policies and feelings of having more time during COVID-19 seem to have improved food literacy among women. Stress and other social distancing policies relate to food literacy in more complex ways, highlighting the necessity of a health equity lens.

Published
2021

31. Management of patients with increased risk for familial pancreatic cancer: updated recommendations from the International Cancer of the Pancreas Screening (CAPS) Consortium

Author

Goggins, M., Overbeek, K.A., Brand, R., Syngal, S., Chiaro, M. del, Bartsch, D.K., Bassi, C., Carrato, A., Farrell, J., Fishman, E.K., Fockens, P., Gress, T.M., Hooft, J.E. van, Hruban, R.H., Kastrinos, F., Klein, A., Lennon, A.M., Lucas, A., Park, W., Rustgi, A., Simeone, D., Stoffel, E., Vasen, H.F.A., Cahen, D.L., Canto, M.I., Bruno, M., Arcidiacono, P.G., Ashida, R., Ausems, M., Besselink, M., Biermann, K., Bonsing, B., Brentnall, T., Chak, A., Early, D., Fernandez-Del Castillo, C., Frucht, H., Furukawa, T., Gallinger, S., Geurts, J., Koerkamp, B.G., Hammel, P., Hes, F., Iglesias-Garcia, J., Kamel, I., Kitano, M., Kloppel, G., Krak, N., Kurtz, R., Kwon, R., Lachter, J., Lee, J., Levy, M., Malleo, G., Meguid, C., Maitra, A., Margolis, D., Offerhaus, J., Olson, S., Paiella, S., Petersen, G., Poley, J.W., Real, F.X., Saltzman, J., Schulick, R., Stoita, A., Takaori, K., Tanaka, M., Tamm, E., Topazian, M., Vazquez-Sequeiros, E., Vleggaar, F., Cappel, W.D.T.N., Yeo, C., Wasser, M., Wagner, A., Wallace, M., Wolfgang, C., Wood, L., Int Canc Pancreas Screening, Goggins, M., Overbeek, K. A., Brand, R., Syngal, S., Del Chiaro, M., Bartsch, D. K., Bassi, C., Carrato, A., Farrell, J., Fishman, E. K., Fockens, P., Gress, T. M., Van Hooft, J. E., Hruban, R. H., Kastrinos, F., Klein, A., Lennon, A. M., Lucas, A., Park, W., Rustgi, A., Simeone, D., Stoffel, E., Vasen, H. F. A., Cahen, D. L., Canto, M. I., Bruno, M, Arcidiacono, P. G., Gastroenterology & Hepatology, Clinical sciences, Medical Genetics, Gastroenterology and Hepatology, AGEM - Digestive immunity, AGEM - Re-generation and cancer of the digestive system, and CCA - Cancer Treatment and Quality of Life

Subjects
Endoscopic ultrasound, medicine.medical_specialty, Biomedical Research, MEDLINE, pancreatic ductal adenocarcinoma, familial pancreatic cancer, Biomedical Research/methods, Article, Germline mutation, Mass Screening/methods, SDG 3 - Good Health and Well-being, Risk Factors, Pancreatic cancer, medicine, Humans, Mass Screening, Pancreatic Neoplasms/diagnosis, Age Factor, Genetic Predisposition to Disease, Family history, Intensive care medicine, early detection, Early Detection of Cancer, Germ-Line Mutation, Medicine(all), Hereditary pancreatitis, medicine.diagnostic_test, business.industry, Carcinoma, Age Factors, Gastroenterology, Pancreatic Neoplasm, Cancer, medicine.disease, Carcinoma/diagnosis, Population Surveillance/methods, Pancreatic Neoplasms, medicine.anatomical_structure, Population Surveillance, surveillance, Early Detection of Cancer/methods, business, Pancreas, genetic predisposition, Human
Abstract

Background and aimThe International Cancer of the Pancreas Screening Consortium met in 2018 to update its consensus recommendations for the management of individuals with increased risk of pancreatic cancer based on family history or germline mutation status (high-risk individuals).MethodsA modified Delphi approach was employed to reach consensus among a multidisciplinary group of experts who voted on consensus statements. Consensus was considered reached if ≥75% agreed or disagreed.ResultsConsensus was reached on 55 statements. The main goals of surveillance (to identify high-grade dysplastic precursor lesions and T1N0M0 pancreatic cancer) remained unchanged. Experts agreed that for those with familial risk, surveillance should start no earlier than age 50 or 10 years earlier than the youngest relative with pancreatic cancer, but were split on whether to start at age 50 or 55. Germline ATM mutation carriers with one affected first-degree relative are now considered eligible for surveillance. Experts agreed that preferred surveillance tests are endoscopic ultrasound and MRI/magnetic retrograde cholangiopancreatography, but no consensus was reached on how to alternate these modalities. Annual surveillance is recommended in the absence of concerning lesions. Main areas of disagreement included if and how surveillance should be performed for hereditary pancreatitis, and the management of indeterminate lesions.ConclusionsPancreatic surveillance is recommended for selected high-risk individuals to detect early pancreatic cancer and its high-grade precursors, but should be performed in a research setting by multidisciplinary teams in centres with appropriate expertise. Until more evidence supporting these recommendations is available, the benefits, risks and costs of surveillance of pancreatic surveillance need additional evaluation.

Published
2020

32. Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019

Author

Roth, GA, Mensah, GA, Johnson, CO, Addolorato, G, Ammirati, E, Baddour, LM, Barengo, NC, Beaton, AZ, Benjamin, EJ, Benziger, CP, Bonny, A, Brauer, M, Brodmann, M, Cahill, TJ, Carapetis, J, Catapano, AL, Chugh, SS, Cooper, LT, Coresh, J, Criqui, M, DeCleene, N, Eagle, KA, Emmons-Bell, S, Feigin, VL, Fernández-Solà, J, Fowkes, G, Gakidou, E, Grundy, SM, He, FJ, Howard, G, Hu, F, Inker, L, Karthikeyan, G, Kassebaum, N, Koroshetz, W, Lavie, C, Lloyd-Jones, D, Lu, HS, Mirijello, A, Temesgen, AM, Mokdad, A, Moran, AE, Muntner, P, Narula, J, Neal, B, Ntsekhe, M, Moraes de Oliveira, G, Otto, C, Owolabi, M, Pratt, M, Rajagopalan, S, Reitsma, M, Ribeiro, ALP, Rigotti, N, Rodgers, A, Sable, C, Shakil, S, Sliwa-Hahnle, K, Stark, B, Sundström, J, Timpel, P, Tleyjeh, IM, Valgimigli, M, Vos, T, Whelton, PK, Yacoub, M, Zuhlke, L, Murray, C, Fuster, V, Beaton, A, Carapetis, JR, Chugh, S, Criqui, MH, DeCleene, NK, Fernández-Sola, J, Fowkes, FGR, Kassebaum, NJ, Koroshetz, WJ, Misganaw, AT, Mokdad, AH, Oliveira, GMM, Otto, CM, Owolabi, MO, Reitsma, MB, Rigotti, NA, Sable, CA, Shakil, SS, Sliwa, K, Stark, BA, Tleyjeh, II, Zuhlke, LJ, Abbasi-Kangevari, M, Abdi, A, Abedi, A, Aboyans, V, Abrha, WA, Abu-Gharbieh, E, Abushouk, AI, Acharya, D, Adair, T, Adebayo, OM, Ademi, Z, Advani, SM, Afshari, K, Afshin, A, Agarwal, G, Agasthi, P, Ahmad, S, Ahmadi, S, Ahmed, MB, Aji, B, Akalu, Y, Akande-Sholabi, W, Aklilu, A, Akunna, CJ, Alahdab, F, Al-Eyadhy, A, Alhabib, KF, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Almasi-Hashiani, A, Almustanyir, S, Al-Raddadi, RM, Amegah, AK, Amini, S, Aminorroaya, A, Amu, H, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, T, Andrei, CL, Ansari-Moghaddam, A, Anteneh, ZA, Antonazzo, IC, Antony, B, Anwer, R, Appiah, LT, Arabloo, J, Ärnlöv, J, Artanti, KD, Ataro, Z, Ausloos, M, Avila-Burgos, L, Awan, AT, Awoke, MA, Ayele, HT, Ayza, MA, Azari, S, B, DB, Baheiraei, N, Baig, AA, Bakhtiari, A, Banach, M, Banik, PC, Baptista, EA, Barboza, MA, Barua, L, Basu, S, Bedi, N, Béjot, Y, Bennett, DA, Bensenor, IM, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhaskar, S, Bhattacharyya, K, Bijani, A, Bikbov, B, Birhanu, MM, Boloor, A, Brant, LC, Brenner, H, Briko, NI, Butt, ZA, Caetano dos Santos, FL, Cahill, LE, Cahuana-Hurtado, L, Cámera, LA, Campos-Nonato, IR, Cantu-Brito, C, Car, J, Carrero, JJ, Carvalho, F, Castañeda-Orjuela, CA, Catalá-López, F, Cerin, E, Charan, J, Chattu, VK, Chen, S, Chin, KL, Choi, J-YJ, Chu, D-T, Chung, S-C, Cirillo, M, Coffey, S, Conti, S, Costa, VM, Cundiff, DK, Dadras, O, Dagnew, B, Dai, X, Damasceno, AAM, Dandona, L, Dandona, R, Davletov, K, De la Cruz-Góngora, V, De la Hoz, FP, De Neve, J-W, Denova-Gutiérrez, E, Derbew Molla, M, Derseh, BT, Desai, R, Deuschl, G, Dharmaratne, SD, Dhimal, M, Dhungana, RR, Dianatinasab, M, Diaz, D, Djalalinia, S, Dokova, K, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Ebtehaj, S, Eftekhari, A, Eftekharzadeh, S, Ekholuenetale, M, El Nahas, N, Elgendy, IY, Elhadi, M, El-Jaafary, SI, Esteghamati, S, Etisso, AE, Eyawo, O, Fadhil, I, Faraon, EJA, Faris, PS, Farwati, M, Farzadfar, F, Fernandes, E, Fernandez Prendes, C, Ferrara, P, Filip, I, Fischer, F, Flood, D, Fukumoto, T, Gad, MM, Gaidhane, S, Ganji, M, Garg, J, Gebre, AK, Gebregiorgis, BG, Gebregzabiher, KZ, Gebremeskel, GG, Getacher, L, Obsa, AG, Ghajar, A, Ghashghaee, A, Ghith, N, Giampaoli, S, Gilani, SA, Gill, PS, Gillum, RF, Glushkova, EV, Gnedovskaya, EV, Golechha, M, Gonfa, KB, Goudarzian, AH, Goulart, AC, Guadamuz, JS, Guha, A, Guo, Y, Gupta, R, Hachinski, V, Hafezi-Nejad, N, Haile, TG, Hamadeh, RR, Hamidi, S, Hankey, GJ, Hargono, A, Hartono, RK, Hashemian, M, Hashi, A, Hassan, S, Hassen, HY, Havmoeller, RJ, Hay, SI, Hayat, K, Heidari, G, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Ibeneme, CU, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Iqbal, U, Irvani, SSN, Shariful Islam, Sheikh, Islam, RM, Iso, H, Iwagami, M, Jain, V, Javaheri, T, Jayapal, SK, Jayaram, S, Jayawardena, R, Jeemon, P, Jha, RP, Jonas, JB, Jonnagaddala, J, Joukar, F, Jozwiak, JJ, Jürisson, M, Kabir, A, Kahlon, T, Kalani, R, Kalhor, R, Kamath, A, Kamel, I, Kandel, H, Kandel, A, Karch, A, Kasa, AS, Katoto, PDMC, Kayode, GA, Khader, YS, Khammarnia, M, Khan, MS, Khan, MN, Khan, M, Khan, EA, Khatab, K, Kibria, GMA, Kim, YJ, Kim, GR, Kimokoti, RW, Kisa, S, Kisa, A, Kivimäki, M, Kolte, D, Koolivand, A, Korshunov, VA, Koulmane Laxminarayana, SL, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Kuate Defo, B, Kucuk Bicer, B, Kulkarni, V, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Kwan, GF, La Vecchia, C, Lacey, B, Lallukka, T, Lan, Q, Lasrado, S, Lassi, ZS, Lauriola, P, Lawrence, WR, Laxmaiah, A, LeGrand, KE, Li, M-C, Li, B, Li, S, Lim, SS, Lim, L-L, Lin, H, Lin, Z, Lin, R-T, Liu, X, Lopez, AD, Lorkowski, S, Lotufo, PA, Lugo, A, M, NK, Madotto, F, Mahmoudi, M, Majeed, A, Malekzadeh, R, Malik, AA, Mamun, AA, Manafi, N, Mansournia, MA, Mantovani, LG, Martini, S, Mathur, MR, Mazzaglia, G, Mehata, S, Mehndiratta, MM, Meier, T, Menezes, RG, Meretoja, A, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Moazen, B, Moghadaszadeh, M, Mohammad, Y, Mohammad, DK, Mohammed, S, Mohammed, MA, Mokhayeri, Y, Molokhia, M, Montasir, AA, Moradi, G, Moradzadeh, R, Moraga, P, Morawska, L, Moreno Velásquez, I, Morze, J, Mubarik, S, Muruet, W, Musa, KI, Nagarajan, AJ, Nalini, M, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Nascimento, BR, Nayak, VC, Nazari, J, Nazarzadeh, M, Negoi, RI, Neupane Kandel, S, Nguyen, HLT, Nixon, MR, Norrving, B, Noubiap, JJ, Nouthe, BE, Nowak, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Orru, H, Ortiz, A, Ostroff, SM, Padubidri, JR, Palladino, R, Pana, A, Panda-Jonas, S, Parekh, U, Park, E-C, Parvizi, M, Pashazadeh Kan, F, Patel, UK, Pathak, M, Paudel, R, Pepito, VCF, Perianayagam, A, Perico, N, Pham, HQ, Pilgrim, T, Piradov, MA, Pishgar, F, Podder, V, Polibin, RV, Pourshams, A, Pribadi, DRA, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Ur Rahman, MH, Rahman, Muhammad, Rahmani, AM, Rakovac, I, Ram, P, Ramalingam, S, Rana, J, Ranasinghe, P, Rao, SJ, Rathi, P, Rawal, L, Rawasia, WF, Rawassizadeh, R, Remuzzi, G, Renzaho, AMN, Rezapour, A, Riahi, SM, Roberts-Thomson, RL, Roever, L, Rohloff, P, Romoli, M, Roshandel, G, Rwegerera, GM, Saadatagah, S, Saber-Ayad, MM, Sabour, S, Sacco, S, Sadeghi, M, Saeedi Moghaddam, S, Safari, S, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sawhney, M, Saylan, M, Schmidt, MI, Schutte, AE, Senthilkumaran, S, Sepanlou, SG, Sha, F, Shahabi, S, Shahid, I, Shaikh, MA, Shamali, M, Shamsizadeh, M, Shawon, MSR, Sheikh, A, Shigematsu, M, Shin, M-J, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siabani, S, Siddiqi, TJ, Silva, DAS, Singh, JA, Mtech, AS, Skryabin, VY, Skryabina, AA, Soheili, A, Spurlock, EE, Stockfelt, L, Stortecky, S, Stranges, S, Suliankatchi Abdulkader, R, Tadbiri, H, Tadesse, EG, Tadesse, DB, Tajdini, M, Tariqujjaman, M, Teklehaimanot, BF, Temsah, M-H, Tesema, AK, Thakur, B, Thankappan, KR, Thapar, R, Thrift, AG, Timalsina, B, Tonelli, M, Touvier, M, Tovani-Palone, MR, Tripathi, A, Tripathy, JP, Truelsen, TC, Tsegay, GM, Tsegaye, GW, Tsilimparis, N, Tusa, BS, Tyrovolas, S, Umapathi, KK, Unim, B, Unnikrishnan, B, Usman, MS, Vaduganathan, M, Valdez, PR, Vasankari, TJ, Velazquez, DZ, Venketasubramanian, N, Vu, GT, Vujcic, IS, Waheed, Y, Wang, Y, Wang, F, Wei, J, Weintraub, RG, Weldemariam, AH, Westerman, R, Winkler, AS, Wiysonge, CS, Wolfe, CDA, Wubishet, BL, Xu, G, Yadollahpour, A, Yamagishi, K, Yan, LL, Yandrapalli, S, Yano, Y, Yatsuya, H, Yeheyis, TY, Yeshaw, Y, Yilgwan, CS, Yonemoto, N, Yu, C, Yusefzadeh, H, Zachariah, G, Zaman, SB, Zaman, MS, Zamanian, M, Zand, R, Zandifar, A, Zarghi, A, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Zhang, Y, Zhang, W, Zhong, C, Zou, Z, Zuniga, YMH, Murray, CJL, Roth, GA, Mensah, GA, Johnson, CO, Addolorato, G, Ammirati, E, Baddour, LM, Barengo, NC, Beaton, AZ, Benjamin, EJ, Benziger, CP, Bonny, A, Brauer, M, Brodmann, M, Cahill, TJ, Carapetis, J, Catapano, AL, Chugh, SS, Cooper, LT, Coresh, J, Criqui, M, DeCleene, N, Eagle, KA, Emmons-Bell, S, Feigin, VL, Fernández-Solà, J, Fowkes, G, Gakidou, E, Grundy, SM, He, FJ, Howard, G, Hu, F, Inker, L, Karthikeyan, G, Kassebaum, N, Koroshetz, W, Lavie, C, Lloyd-Jones, D, Lu, HS, Mirijello, A, Temesgen, AM, Mokdad, A, Moran, AE, Muntner, P, Narula, J, Neal, B, Ntsekhe, M, Moraes de Oliveira, G, Otto, C, Owolabi, M, Pratt, M, Rajagopalan, S, Reitsma, M, Ribeiro, ALP, Rigotti, N, Rodgers, A, Sable, C, Shakil, S, Sliwa-Hahnle, K, Stark, B, Sundström, J, Timpel, P, Tleyjeh, IM, Valgimigli, M, Vos, T, Whelton, PK, Yacoub, M, Zuhlke, L, Murray, C, Fuster, V, Beaton, A, Carapetis, JR, Chugh, S, Criqui, MH, DeCleene, NK, Fernández-Sola, J, Fowkes, FGR, Kassebaum, NJ, Koroshetz, WJ, Misganaw, AT, Mokdad, AH, Oliveira, GMM, Otto, CM, Owolabi, MO, Reitsma, MB, Rigotti, NA, Sable, CA, Shakil, SS, Sliwa, K, Stark, BA, Tleyjeh, II, Zuhlke, LJ, Abbasi-Kangevari, M, Abdi, A, Abedi, A, Aboyans, V, Abrha, WA, Abu-Gharbieh, E, Abushouk, AI, Acharya, D, Adair, T, Adebayo, OM, Ademi, Z, Advani, SM, Afshari, K, Afshin, A, Agarwal, G, Agasthi, P, Ahmad, S, Ahmadi, S, Ahmed, MB, Aji, B, Akalu, Y, Akande-Sholabi, W, Aklilu, A, Akunna, CJ, Alahdab, F, Al-Eyadhy, A, Alhabib, KF, Alif, SM, Alipour, V, Aljunid, SM, Alla, F, Almasi-Hashiani, A, Almustanyir, S, Al-Raddadi, RM, Amegah, AK, Amini, S, Aminorroaya, A, Amu, H, Amugsi, DA, Ancuceanu, R, Anderlini, D, Andrei, T, Andrei, CL, Ansari-Moghaddam, A, Anteneh, ZA, Antonazzo, IC, Antony, B, Anwer, R, Appiah, LT, Arabloo, J, Ärnlöv, J, Artanti, KD, Ataro, Z, Ausloos, M, Avila-Burgos, L, Awan, AT, Awoke, MA, Ayele, HT, Ayza, MA, Azari, S, B, DB, Baheiraei, N, Baig, AA, Bakhtiari, A, Banach, M, Banik, PC, Baptista, EA, Barboza, MA, Barua, L, Basu, S, Bedi, N, Béjot, Y, Bennett, DA, Bensenor, IM, Berman, AE, Bezabih, YM, Bhagavathula, AS, Bhaskar, S, Bhattacharyya, K, Bijani, A, Bikbov, B, Birhanu, MM, Boloor, A, Brant, LC, Brenner, H, Briko, NI, Butt, ZA, Caetano dos Santos, FL, Cahill, LE, Cahuana-Hurtado, L, Cámera, LA, Campos-Nonato, IR, Cantu-Brito, C, Car, J, Carrero, JJ, Carvalho, F, Castañeda-Orjuela, CA, Catalá-López, F, Cerin, E, Charan, J, Chattu, VK, Chen, S, Chin, KL, Choi, J-YJ, Chu, D-T, Chung, S-C, Cirillo, M, Coffey, S, Conti, S, Costa, VM, Cundiff, DK, Dadras, O, Dagnew, B, Dai, X, Damasceno, AAM, Dandona, L, Dandona, R, Davletov, K, De la Cruz-Góngora, V, De la Hoz, FP, De Neve, J-W, Denova-Gutiérrez, E, Derbew Molla, M, Derseh, BT, Desai, R, Deuschl, G, Dharmaratne, SD, Dhimal, M, Dhungana, RR, Dianatinasab, M, Diaz, D, Djalalinia, S, Dokova, K, Douiri, A, Duncan, BB, Duraes, AR, Eagan, AW, Ebtehaj, S, Eftekhari, A, Eftekharzadeh, S, Ekholuenetale, M, El Nahas, N, Elgendy, IY, Elhadi, M, El-Jaafary, SI, Esteghamati, S, Etisso, AE, Eyawo, O, Fadhil, I, Faraon, EJA, Faris, PS, Farwati, M, Farzadfar, F, Fernandes, E, Fernandez Prendes, C, Ferrara, P, Filip, I, Fischer, F, Flood, D, Fukumoto, T, Gad, MM, Gaidhane, S, Ganji, M, Garg, J, Gebre, AK, Gebregiorgis, BG, Gebregzabiher, KZ, Gebremeskel, GG, Getacher, L, Obsa, AG, Ghajar, A, Ghashghaee, A, Ghith, N, Giampaoli, S, Gilani, SA, Gill, PS, Gillum, RF, Glushkova, EV, Gnedovskaya, EV, Golechha, M, Gonfa, KB, Goudarzian, AH, Goulart, AC, Guadamuz, JS, Guha, A, Guo, Y, Gupta, R, Hachinski, V, Hafezi-Nejad, N, Haile, TG, Hamadeh, RR, Hamidi, S, Hankey, GJ, Hargono, A, Hartono, RK, Hashemian, M, Hashi, A, Hassan, S, Hassen, HY, Havmoeller, RJ, Hay, SI, Hayat, K, Heidari, G, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Ibeneme, CU, Ibitoye, SE, Ilesanmi, OS, Ilic, IM, Ilic, MD, Iqbal, U, Irvani, SSN, Shariful Islam, Sheikh, Islam, RM, Iso, H, Iwagami, M, Jain, V, Javaheri, T, Jayapal, SK, Jayaram, S, Jayawardena, R, Jeemon, P, Jha, RP, Jonas, JB, Jonnagaddala, J, Joukar, F, Jozwiak, JJ, Jürisson, M, Kabir, A, Kahlon, T, Kalani, R, Kalhor, R, Kamath, A, Kamel, I, Kandel, H, Kandel, A, Karch, A, Kasa, AS, Katoto, PDMC, Kayode, GA, Khader, YS, Khammarnia, M, Khan, MS, Khan, MN, Khan, M, Khan, EA, Khatab, K, Kibria, GMA, Kim, YJ, Kim, GR, Kimokoti, RW, Kisa, S, Kisa, A, Kivimäki, M, Kolte, D, Koolivand, A, Korshunov, VA, Koulmane Laxminarayana, SL, Koyanagi, A, Krishan, K, Krishnamoorthy, V, Kuate Defo, B, Kucuk Bicer, B, Kulkarni, V, Kumar, GA, Kumar, N, Kurmi, OP, Kusuma, D, Kwan, GF, La Vecchia, C, Lacey, B, Lallukka, T, Lan, Q, Lasrado, S, Lassi, ZS, Lauriola, P, Lawrence, WR, Laxmaiah, A, LeGrand, KE, Li, M-C, Li, B, Li, S, Lim, SS, Lim, L-L, Lin, H, Lin, Z, Lin, R-T, Liu, X, Lopez, AD, Lorkowski, S, Lotufo, PA, Lugo, A, M, NK, Madotto, F, Mahmoudi, M, Majeed, A, Malekzadeh, R, Malik, AA, Mamun, AA, Manafi, N, Mansournia, MA, Mantovani, LG, Martini, S, Mathur, MR, Mazzaglia, G, Mehata, S, Mehndiratta, MM, Meier, T, Menezes, RG, Meretoja, A, Mestrovic, T, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirrakhimov, EM, Mirzaei, H, Moazen, B, Moghadaszadeh, M, Mohammad, Y, Mohammad, DK, Mohammed, S, Mohammed, MA, Mokhayeri, Y, Molokhia, M, Montasir, AA, Moradi, G, Moradzadeh, R, Moraga, P, Morawska, L, Moreno Velásquez, I, Morze, J, Mubarik, S, Muruet, W, Musa, KI, Nagarajan, AJ, Nalini, M, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Nascimento, BR, Nayak, VC, Nazari, J, Nazarzadeh, M, Negoi, RI, Neupane Kandel, S, Nguyen, HLT, Nixon, MR, Norrving, B, Noubiap, JJ, Nouthe, BE, Nowak, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Orru, H, Ortiz, A, Ostroff, SM, Padubidri, JR, Palladino, R, Pana, A, Panda-Jonas, S, Parekh, U, Park, E-C, Parvizi, M, Pashazadeh Kan, F, Patel, UK, Pathak, M, Paudel, R, Pepito, VCF, Perianayagam, A, Perico, N, Pham, HQ, Pilgrim, T, Piradov, MA, Pishgar, F, Podder, V, Polibin, RV, Pourshams, A, Pribadi, DRA, Rabiee, N, Rabiee, M, Radfar, A, Rafiei, A, Rahim, F, Rahimi-Movaghar, V, Ur Rahman, MH, Rahman, Muhammad, Rahmani, AM, Rakovac, I, Ram, P, Ramalingam, S, Rana, J, Ranasinghe, P, Rao, SJ, Rathi, P, Rawal, L, Rawasia, WF, Rawassizadeh, R, Remuzzi, G, Renzaho, AMN, Rezapour, A, Riahi, SM, Roberts-Thomson, RL, Roever, L, Rohloff, P, Romoli, M, Roshandel, G, Rwegerera, GM, Saadatagah, S, Saber-Ayad, MM, Sabour, S, Sacco, S, Sadeghi, M, Saeedi Moghaddam, S, Safari, S, Sahebkar, A, Salehi, S, Salimzadeh, H, Samaei, M, Samy, AM, Santos, IS, Santric-Milicevic, MM, Sarrafzadegan, N, Sarveazad, A, Sathish, T, Sawhney, M, Saylan, M, Schmidt, MI, Schutte, AE, Senthilkumaran, S, Sepanlou, SG, Sha, F, Shahabi, S, Shahid, I, Shaikh, MA, Shamali, M, Shamsizadeh, M, Shawon, MSR, Sheikh, A, Shigematsu, M, Shin, M-J, Shin, JI, Shiri, R, Shiue, I, Shuval, K, Siabani, S, Siddiqi, TJ, Silva, DAS, Singh, JA, Mtech, AS, Skryabin, VY, Skryabina, AA, Soheili, A, Spurlock, EE, Stockfelt, L, Stortecky, S, Stranges, S, Suliankatchi Abdulkader, R, Tadbiri, H, Tadesse, EG, Tadesse, DB, Tajdini, M, Tariqujjaman, M, Teklehaimanot, BF, Temsah, M-H, Tesema, AK, Thakur, B, Thankappan, KR, Thapar, R, Thrift, AG, Timalsina, B, Tonelli, M, Touvier, M, Tovani-Palone, MR, Tripathi, A, Tripathy, JP, Truelsen, TC, Tsegay, GM, Tsegaye, GW, Tsilimparis, N, Tusa, BS, Tyrovolas, S, Umapathi, KK, Unim, B, Unnikrishnan, B, Usman, MS, Vaduganathan, M, Valdez, PR, Vasankari, TJ, Velazquez, DZ, Venketasubramanian, N, Vu, GT, Vujcic, IS, Waheed, Y, Wang, Y, Wang, F, Wei, J, Weintraub, RG, Weldemariam, AH, Westerman, R, Winkler, AS, Wiysonge, CS, Wolfe, CDA, Wubishet, BL, Xu, G, Yadollahpour, A, Yamagishi, K, Yan, LL, Yandrapalli, S, Yano, Y, Yatsuya, H, Yeheyis, TY, Yeshaw, Y, Yilgwan, CS, Yonemoto, N, Yu, C, Yusefzadeh, H, Zachariah, G, Zaman, SB, Zaman, MS, Zamanian, M, Zand, R, Zandifar, A, Zarghi, A, Zastrozhin, MS, Zastrozhina, A, Zhang, Z-J, Zhang, Y, Zhang, W, Zhong, C, Zou, Z, Zuniga, YMH, and Murray, CJL

Abstract

Cardiovascular diseases (CVDs), principally ischemic heart disease (IHD) and stroke, are the leading cause of global mortality and a major contributor to disability. This paper reviews the magnitude of total CVD burden, including 13 underlying causes of cardiovascular death and 9 related risk factors, using estimates from the Global Burden of Disease (GBD) Study 2019. GBD, an ongoing multinational collaboration to provide comparable and consistent estimates of population health over time, used all available population-level data sources on incidence, prevalence, case fatality, mortality, and health risks to produce estimates for 204 countries and territories from 1990 to 2019.Prevalent cases of total CVD nearly doubled from 271 million (95% uncertainty interval [UI]: 257 to 285 million) in 1990 to 523 million (95% UI: 497 to 550 million) in 2019, and the number of CVD deaths steadily increased from 12.1 million (95% UI:11.4 to 12.6 million) in 1990, reaching 18.6 million (95% UI: 17.1 to 19.7 million) in 2019. The global trends for disability-adjusted life years (DALYs) and years of life lost also increased significantly, and years lived with disability doubled from 17.7 million (95% UI: 12.9 to 22.5 million) to 34.4 million (95% UI:24.9 to 43.6 million) over that period. The total number of DALYs due to IHD has risen steadily since 1990, reaching 182 million (95% UI: 170 to 194 million) DALYs, 9.14 million (95% UI: 8.40 to 9.74 million) deaths in the year 2019, and 197 million (95% UI: 178 to 220 million) prevalent cases of IHD in 2019. The total number of DALYs due to stroke has risen steadily since 1990, reaching 143 million (95% UI: 133 to 153 million) DALYs, 6.55 million (95% UI: 6.00 to 7.02 million) deaths in the year 2019, and 101 million (95% UI: 93.2 to 111 million) prevalent cases of stroke in 2019.Cardiovascular diseases remain the leading cause of disease burden in the world. CVD burden continues its decades-long rise for almost all countries outside hi

Published
2020

33. Corrigendum to 'Antigenic analysis of H5N1 highly pathogenic avian influenza viruses circulating in Egypt (2006-2012)' [Vet. Microbiol. 167 3-4 (2013) 651-661]

Author

Yehia M. Saif, Abdelfattah H. Eladl, Alaa G. Abdel Razik, Chang-Won Lee, Hesham A. Sultan, Abdel Satar Arafa, Kamel I. Abou El-Azm, Mahmoud Ibrahim, and Sahar Abd El Rahman

Subjects
General Veterinary, Highly pathogenic, medicine, Antigenic analysis, General Medicine, Biology, medicine.disease_cause, Microbiology, Virology, Influenza A virus subtype H5N1
Published
2019

40. Corrigendum to “Antigenic analysis of H5N1 highly pathogenic avian influenza viruses circulating in Egypt (2006–2012)” [Vet. Microbiol. 167 3–4 (2013) 651–661]

Author

Ibrahim, Mahmoud, primary, Eladl, Abdelfattah H., additional, Sultan, Hesham A., additional, Arafa, Abdel Satar, additional, Abdel Razik, Alaa G., additional, Abd El Rahman, Sahar, additional, Abou El-Azm, Kamel I., additional, Saif, Yehia M., additional, and Lee, Chang-Won, additional

Published
2020
Full Text
View/download PDF

46. Molecular and pathological characterization of duck enteritis virus in Egypt

Author

Mohamed Hamed, Mohamed El-Tholoth, Ahmed A. Matter, and Kamel I. Abou El-Azm

Subjects
Salmonella, 040301 veterinary sciences, Spleen, Biology, medicine.disease_cause, Polymerase Chain Reaction, Virus, law.invention, Enteritis, 0403 veterinary science, 03 medical and health sciences, law, medicine, Marek Disease, Animals, Polymerase chain reaction, Poultry Diseases, 030304 developmental biology, 0303 health sciences, General Veterinary, General Immunology and Microbiology, Outbreak, 04 agricultural and veterinary sciences, General Medicine, medicine.disease, Virology, Basophilic, Mardivirus, medicine.anatomical_structure, Ducks, Egypt, Flock
Abstract

In winter 2016, a fatal disease outbreak suspected to be duck virus enteritis (DVE) stroke over a million ducklings in 10 white Pekin and Muscovy ducks flocks in Dakahlia and Gharbia Governorates, Egypt, causing heavy economic losses. The disease quickly killed 20%-60% of affected farms. The clinical signs were inappetence, ataxia, crowding in corners, partially closed eye lids and blue beaks. Post mortem examination revealed white necrotic foci in liver, mottled spleen and sometimes cecal core. A total of 10 intestines, livers and spleens samples were collected from diseased flocks. Each sample was pooled randomly from eight to ten ducklings. Polymerase chain reaction (PCR) and histopathological examination were utilized for DEV identification in collected samples. Nucleotides sequences of the amplified DNA polymerase gene were compared with the other DEVs available on GeneBank. Also, existence of co-infection with Salmonella spp. was verified via PCR. DEV nucleic acid was detected by PCR in 8 of 10 collected samples (80%) with positive amplification of polymerase gene. Histopathological examination revealed eosinophilic and basophilic intranuclear inclusion bodies in enterocytes. In some infected enterocytes, intranuclear and intracytoplasmic inclusions were observed in the same cell. Respectively, eosinophilic intranuclear inclusion bodies found in hepatocytes and reticular cells of liver and spleen of diseased ducklings. Four of the 10 collected samples showed positive results for Salmonella spp. infection that may be involved in enhancing infection with DEV. The identified DEVs revealed close genetic relationship with DEVs detected previously in India and China indicating potential transmission of the virus from there that crucially needs further work for better understanding of virus origin. In conclusion, our study revealed infection of duckling farms with DEV and Salmonella that necessitate the implementation of restricted early preventive and control measures for both diseases to decrease the expected economic losses.

Published
2018

47. International Cancer of the Pancreas Screening (CAPS) Consortium summit on the management of patients with increased risk for familial pancreatic cancer

Author

Canto MI, Harinck F, Hruban RH, Offerhaus GJ, Poley JW, Kamel I, Nio Y, Schulick RS, Bassi C, Kluijt I, Levy MJ, Chak A, Fockens P, Goggins M, Bruno M, International Cancer of Pancreas Screening (CAPS) Consortium, Arcidiacono P.G., (Milan, Italy), Detlef Bartsch (Marburg, Germany), Katharina Biermann (Rotterdam, The Netherlands), Terri Brentnall (Washington, USA), Amitabh Chak (Ohio, Petr Dite (Brno, Czech Republic), Timothy Donahue (California, Dayna Early (Missouri, James Farrell (California, Carlos Fernandez-Del Castillo (Massachusetts, Harold Frucht (New York, Noriyoshi Fukushima (Tochigi, Japan), Jenny Geurts (Wisconsin, Pascal Hamell (Clichy, France), Julio Iglesias-Garcia (Santiago de Compostela, Spain), Alison Klein (Maryland, Guenter Kloeppel (Munich, Jesse Lachter (Haifa, Israel), Peter Langer (Marburg, Jeffrey Lee (Texas, Michael Levy (Minnesota, Hiroyuki Maguchi (Sapporo, Daniel Margolis (Los Angeles, Takao Ohtsuka (Fukuoka, Sara Olson (New York, NY), Gloria Petersen (Minnesota, Thomas Savides (California, Sapna Syngal (Massachusetts, Eric Tamm (Texas, Masao Tanaka (Fukuoka, Hans Vasen (Leiden, Anja Wagner (Erasmus, Huamin Wang (Texas, David Williams (Sydney, Australia), Kenjii Yamao (Nagoya, Canto, Mi, Harinck, F, Hruban, Rh, Offerhaus, Gj, Poley, Jw, Kamel, I, Nio, Y, Schulick, R, Bassi, C, Kluijt, I, Levy, Mj, Chak, A, Fockens, P, Goggins, M, Bruno, M, International Cancer of Pancreas Screening (CAPS), Consortium, Arcidiacono, P. G., (Milan, Italy), Detlef Bartsch, (Marburg, Germany), Katharina, Biermann (Rotterdam, The, Netherlands), Terri Brentnall, (Washington, USA), Amitabh, Chak (Ohio, Petr Dite, (Brno, Czech, Republic), Timothy Donahue, (California, Dayna Early, (Missouri, James Farrell, (California, Carlos Fernandez-Del Castillo, (Massachusett, Harold Frucht (New, York, Noriyoshi, Fukushima (Tochigi, Japan), Jenny Geurts, (Wisconsin, Pascal Hamell, (Clichy, France), Julio Iglesias-Garcia (Santiago de, Compostela, Spain), Alison Klein, (Maryland, Guenter Kloeppel, (Munich, Jesse Lachter, (Haifa, Israel), Peter, Langer (Marburg, Jeffrey Lee, (Texa, Michael Levy, (Minnesota, Hiroyuki Maguchi, (Sapporo, Daniel Margolis (Los, Angele, Takao Ohtsuka, (Fukuoka, Sara Olson (New, York, NY), Gloria Petersen, (Minnesota, Thomas Savides, (California, Sapna Syngal, (Massachusett, Eric Tamm, (Texa, Masao Tanaka, (Fukuoka, Hans Vasen, (Leiden, The Netherlands), Anja Wagner, (Erasmu, Huamin Wang, (Texa, David Williams, (Sydney, Australia), Kenjii Yamao, (Nagoya, Pathology, Radiology and Nuclear Medicine, AGEM - Amsterdam Gastroenterology Endocrinology Metabolism, CCA -Cancer Center Amsterdam, Gastroenterology and Hepatology, and Gastroenterology & Hepatology

Subjects
medicine.medical_specialty, Cholangiopancreatography, Magnetic Resonance, Colorectal cancer, Pancreatic Intraepithelial Neoplasia, Endosonography, Pancreatectomy, SDG 3 - Good Health and Well-being, Risk Factors, Pancreatic cancer, Internal medicine, medicine, Humans, Genetic Predisposition to Disease, Magnetic Resonance, Early Detection of Cancer, Intraepithelial neoplasia, Magnetic resonance cholangiopancreatography, Endoscopic retrograde cholangiopancreatography, medicine.diagnostic_test, Intraductal papillary mucinous neoplasm, business.industry, General surgery, Carcinoma, Gastroenterology, Age Factors, Cancer, medicine.disease, Cholangiopancreatography, Pedigree, Pancreatic Neoplasms, Treatment Outcome, Follow-Up Studies, Mutation, Neoplasm Grading, business
Abstract

Background Screening individuals at increased risk for pancreatic cancer (PC) detects early, potentially curable, pancreatic neoplasia. Objective To develop consortium statements on screening, surveillance and management of high-risk individuals with an inherited predisposition to PC. Methods A 49-expert multidisciplinary international consortium met to discuss pancreatic screening and vote on statements. Consensus was considered reached if ≥75% agreed or disagreed. Results There was excellent agreement that, to be successful, a screening programme should detect and treat T1N0M0 margin-negative PC and high-grade dysplastic precursor lesions (pancreatic intraepithelial neoplasia and intraductal papillary mucinous neoplasm). It was agreed that the following were candidates for screening: first-degree relatives (FDRs) of patients with PC from a familial PC kindred with at least two affected FDRs; patients with Peutz–Jeghers syndrome; and p16, BRCA2 and hereditary non-polyposis colorectal cancer (HNPCC) mutation carriers with ≥1 affected FDR. Consensus was not reached for the age to initiate screening or stop surveillance. It was agreed that initial screening should include endoscopic ultrasonography (EUS) and/or MRI/magnetic resonance cholangiopancreatography not CT or endoscopic retrograde cholangiopancreatography. There was no consensus on the need for EUS fine-needle aspiration to evaluate cysts. There was disagreement on optimal screening modalities and intervals for follow-up imaging. When surgery is recommended it should be performed at a high-volume centre. There was great disagreement as to which screening abnormalities were of sufficient concern to for surgery to be recommended. Conclusions Screening is recommended for high-risk individuals, but more evidence is needed, particularly for how to manage patients with detected lesions. Screening and subsequent management should take place at high-volume centres with multidisciplinary teams, preferably within research protocols.

Published
2013

48. Multisite, multivendor validation of the accuracy and reproducibility of proton-density fat-fraction quantification at 1.5T and 3T using a fat-water phantom

Author

Hernando, D, Sharma, S, Ghasabeh, MA, Alvis, B, Arora, S, Hamilton, G, Pan, L, Shaffer, J, Sofue, K, Szeverenyi, N, Welch, EB, Yuan, Q, Bashir, M, Kamel, I, Rice, M, Sirlin, C, Yokoo, T, and Reeder, S

Subjects
nonalcoholic fatty liver disease, proton-density fat-fraction, Biomedical Engineering, Reproducibility of Results, Equipment Design, multicenter, phantom, Magnetic Resonance Imaging, Sensitivity and Specificity, Phantoms, Imaging, Equipment Failure Analysis, Nuclear Medicine & Medical Imaging, Adipose Tissue, Body Water, chemical shift-encoded, quantitative imaging biomarker, protondensity fat-fraction, Protons, protondensity fat-fraction (PDFF), fat quantification
Abstract

PurposeTo evaluate the accuracy and reproducibility of quantitative chemical shift-encoded (CSE) MRI to quantify proton-density fat-fraction (PDFF) in a fat-water phantom across sites, vendors, field strengths, and protocols.MethodsSix sites (Philips, Siemens, and GE Healthcare) participated in this study. A phantom containing multiple vials with various oil/water suspensions (PDFF:0%-100%) was built, shipped to each site, and scanned at 1.5T and 3T using two CSE protocols per field strength. Confounder-corrected PDFF maps were reconstructed using a common algorithm. To assess accuracy, PDFF bias and linear regression with the known PDFF were calculated. To assess reproducibility, measurements were compared across sites, vendors, field strengths, and protocols using analysis of covariance (ANCOVA), Bland-Altman analysis, and the intraclass correlation coefficient (ICC).ResultsPDFF measurements revealed an overall absolute bias (across sites, field strengths, and protocols) of 0.22% (95% confidence interval, 0.07%-0.38%) and R2 > 0.995 relative to the known PDFF at each site, field strength, and protocol, with a slope between 0.96 and 1.02 and an intercept between -0.56% and 1.13%. ANCOVA did not reveal effects of field strength (P = 0.36) or protocol (P = 0.19). There was a significant effect of vendor (F = 25.13, P = 1.07 × 10-10 ) with a bias of -0.37% (Philips) and -1.22% (Siemens) relative to GE Healthcare. The overall ICC was 0.999.ConclusionCSE-based fat quantification is accurate and reproducible across sites, vendors, field strengths, and protocols. Magn Reson Med 77:1516-1524, 2017. © 2016 International Society for Magnetic Resonance in Medicine.

Published
2017

49. أثر منظومة القيم في الاقتصاد الإسلامي على سلوك المستهلك

Author

Hassan, Emad Moustafa Kamel I., Hawamdeh, Suhel Ahmad Fadel, and İslam İktisadı ve Hukuku Ana Bilim Dalı

Subjects
Religion, Din, Economics, Muslims, Islamic economy, Religious values, Economic history, Economy, Ekonomi, Islam, Islamic finance techniques, Consumer behavior
Abstract

Bu tez çalışması farklılaşan tüketici davranışları üzerinde islam değer ve etksini inceler.Nitekim iktisat sistemi ile islam iktisadı arasında bazı farklar vardır.İktisad sisteminde temeller akıl , deney ve değişen kaynaklardır.Bu davranışların arkasındaki en büyük etken kişisel refahın peşinde koşmaktır.Fakat İslam iktisadı sistemi gücünü Kur'an-ı Kerim'den ve Sünneti seniyeden alır.Amacına ulaştıran motivasyonu ise Rabbinin rızası ve Cennete kavuşma emelidir. Aynı zamanda bu tez çalışması karşılıklı faydaya dayalı ekonomi sisteminin düzenini insanların tekil davranışlarına dayanmasını başta serd etmiştir.Batı toplumunun insanı isteklerini önceleyen ve tükenme bilmeyen istekleri öncelemiştir.Fakat müslamanın tüketim davranışları ulu İslam değerlerinden etkilenmesi gerekir.Müslümanın tüketim davranışları İslamın değerleriyle bağdaşmalıdır.Bu bağdaşlaşmayla islam iktisadı tüketici üzerinde denetleme yetkisi ile yapılabilecek son bir tedavi üslubu gibi gözükmesiyle beraber tüketim davranışları farklılılklar arz edebilir.Rüşd seviyesine erişemeyen bir davranıştan rüşdünü ispatlamış bir davranışa, İslam değerleriyle tedavi edilebilir ve önleyici bir kalkan görevi görür. İslam dini sadece tüketici davranışlarına odaklanarak kalmamış aynı zamanda toplumun tüketimde servet ve gelir dağılımını etkileyen şartları ve tüketici dsiplinini önemsemiştir. Böylece yeryüzünü imar etmek ve Allah'a kulluk bilincinde gelecek nesillere önderlik etme görevini tamamlamış olur. Bu tez çalışmamız da ayrıca makasıdü'ş şeriada tüketicinin önceliklerini ve sonuçlarının tüketici üzerindeki etkilerini konu edinir.Araştırmacı bulgularında bu düzenleme ile başta tüketimde rüşdüne ermiş (aklı baliğ) Müslüman bireyin ihtiyaçlarını karşılanmasını ve doyum noktasına erdirmesini ele almıştır.Ayrıca araştırmacı tüketicinin islam iktisadı açısından dengede durması için islam iktisadı temellerine temerküz etmiş önerileri tutarlılığını tüketici dengesini yarar ve zararını (dengede olamayışını) tartıştıktan sonra sunmuştur. The thesis discusses the values and standards that control the consumer behavior. Those values and standards of the conventional economic systems differ from those of the Islamic economic system. The sources of the conventional economic values are the human intellects and experience, which by nature, are changing. These values are motivated by maximizing self-welfare and self-satisfaction. The Islamic economic system, on the other hand, derives its values from the holy Quran and Sunnah. The motivation behind its values God satisfaction and the interest in winning his Heaven. The thesis outlines the conventional economic theories, which mainly depend on the maximization of self-benefit, which in turn is derived from the instinctual values controlling human behaviors. In western society, there is no limits for a person's desire and free will except his/her limited resources. However, Muslim consumer's behaviors are disciplined and controlled by the Islamic values. As the consumer behavior may vary from harmful to beneficial, the Islamic values are used as a protection from going to the extreme or even the non-rational behaviors.Islam not only rationalizes consuming behavior and relation between people, but also founded relationship between the consumption and wealth (or wages). When these Islamic values are applied to the economy and more specifically consumer behavior, the principal of developing the world for God sake is achieved.The thesis also outlines the importance of `maqasid al-shari'ah` and their effect on the spending priorities of the consumer. The researcher concluded that defining spending priority can lead to consumption maturity, which at the same time, fully satisfies consumer needs.Finally the researcher discussed the theory of benefit and indifference curves analysis for consumer's equilibrium then proposed a vision, based on scientific basis, for consumer's equilibrium in the light of Islamic economy. 148

Published
2017

50. İslam iktisadının tüketici davranışları üzerindeki etkisi

Author

Hassan, Emad Moustafa Kamel I. and Hawamdeh, Suhel Ahmad Fadel

Subjects
Din, Economics, Muslims, Tüketici davranışı, Economic history, Economy, Dini değerler, Ekonomi tarihi, İslami finans teknikleri, Islamic finance techniques, Islam, Consumer behavior, Religion, İslam ekonomisi, Islamic economy, Religious values, Ekonomi, Müslümanlar, İslamiyet
Abstract

Bu tez çalışması farklılaşan tüketici davranışları üzerinde islam değer ve etksini inceler.Nitekim iktisat sistemi ile islam iktisadı arasında bazı farklar vardır.İktisad sisteminde temeller akıl , deney ve değişen kaynaklardır.Bu davranışların arkasındaki en büyük etken kişisel refahın peşinde koşmaktır.Fakat İslam iktisadı sistemi gücünü Kur'an-ı Kerim'den ve Sünneti seniyeden alır.Amacına ulaştıran motivasyonu ise Rabbinin rızası ve Cennete kavuşma emelidir. Aynı zamanda bu tez çalışması karşılıklı faydaya dayalı ekonomi sisteminin düzenini insanların tekil davranışlarına dayanmasını başta serd etmiştir.Batı toplumunun insanı isteklerini önceleyen ve tükenme bilmeyen istekleri öncelemiştir.Fakat müslamanın tüketim davranışları ulu İslam değerlerinden etkilenmesi gerekir.Müslümanın tüketim davranışları İslamın değerleriyle bağdaşmalıdır.Bu bağdaşlaşmayla islam iktisadı tüketici üzerinde denetleme yetkisi ile yapılabilecek son bir tedavi üslubu gibi gözükmesiyle beraber tüketim davranışları farklılılklar arz edebilir.Rüşd seviyesine erişemeyen bir davranıştan rüşdünü ispatlamış bir davranışa, İslam değerleriyle tedavi edilebilir ve önleyici bir kalkan görevi görür. İslam dini sadece tüketici davranışlarına odaklanarak kalmamış aynı zamanda toplumun tüketimde servet ve gelir dağılımını etkileyen şartları ve tüketici dsiplinini önemsemiştir. Böylece yeryüzünü imar etmek ve Allah'a kulluk bilincinde gelecek nesillere önderlik etme görevini tamamlamış olur. Bu tez çalışmamız da ayrıca makasıdü'ş şeriada tüketicinin önceliklerini ve sonuçlarının tüketici üzerindeki etkilerini konu edinir.Araştırmacı bulgularında bu düzenleme ile başta tüketimde rüşdüne ermiş (aklı baliğ) Müslüman bireyin ihtiyaçlarını karşılanmasını ve doyum noktasına erdirmesini ele almıştır.Ayrıca araştırmacı tüketicinin islam iktisadı açısından dengede durması için islam iktisadı temellerine temerküz etmiş önerileri tutarlılığını tüketici dengesini yarar ve zararını (dengede olamayışını) tartıştıktan sonra sunmuştur. The thesis discusses the values and standards that control the consumer behavior. Those values and standards of the conventional economic systems differ from those of the Islamic economic system. The sources of the conventional economic values are the human intellects and experience, which by nature, are changing. These values are motivated by maximizing self-welfare and self-satisfaction. The Islamic economic system, on the other hand, derives its values from the holy Quran and Sunnah. The motivation behind its values God satisfaction and the interest in winning his Heaven. The thesis outlines the conventional economic theories, which mainly depend on the maximization of self-benefit, which in turn is derived from the instinctual values controlling human behaviors. In western society, there is no limits for a person's desire and free will except his/her limited resources. However, Muslim consumer's behaviors are disciplined and controlled by the Islamic values. As the consumer behavior may vary from harmful to beneficial, the Islamic values are used as a protection from going to the extreme or even the non-rational behaviors. Islam not only rationalizes consuming behavior and relation between people, but also founded relationship between the consumption and wealth (or wages). When these Islamic values are applied to the economy and more specifically consumer behavior, the principal of developing the world for God sake is achieved. The thesis also outlines the importance of "maqasid al-shari'ah" and their effect on the spending priorities of the consumer. The researcher concluded that defining spending priority can lead to consumption maturity, which at the same time, fully satisfies consumer needs. Finally the researcher discussed the theory of benefit and indifference curves analysis for consumer's equilibrium then proposed a vision, based on scientific basis, for consumer's equilibrium in the light of Islamic economy.

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results