Citations

Mayo Clinic

Clear

605 citation(s) found for "Ibrahim, M".

National trends in disability-adjusted life years (DALYs) of pancreatic cancer among individuals aged 70 and older across 204 countries (1990-2021): A global burden of disease study.
Khan, Saba , Qadeer, Abdul , Khawar, Muneeb , Jajja, Salman Ayub, Ahmad, Husnain , Khan, Iqra , Kakakhel, Mian Zahid Jan , Ali, Muhammad Faizan , Ibrahim, Arwa M, Ikram, Jibran, Ahmed, Faizan , Ibrahim, Arwa M, Kirchoff, Robert W.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2025.43.16_suppl.e22572 Get It

e22572 Background: Pancreatic cancer is a highly lethal malignancy that disproportionately impacts older populations, contributing significantly to global disease burden. Disability-adjusted life years (DALY) serve as a comprehensive metric to quantify the combined impact of mortality and morbidity. This analysis of the Global Burden of Disease Study-2021 (GBD-2021) aims to characterize trends in DALY rates attributable to pancreatic cancer among individuals aged 70 years and older across 204 nations. Methods: Data on DALY associated with pancreatic cancer for individuals aged 70+ were extracted for 204 nations from the GBD-2021 study for the years 1990 and 2021. Estimated annual percent change (EAPC) with 95% confidence intervals (CI) were calculated from 1990 to 2021. Results: The DALY rates were accessed among individuals aged 75 and older diagnosed with pancreatic cancer. In 1990, Greenland exhibited the highest DALY rate globally (2825.65), but by 2021, this position was surpassed by the United Arab Emirates (2775.52), with Greenland declining to the second-highest rate (2082.43). On the other hand, Turkmenistan had the lowest DALY rates in 1990, but by 2021, Mozambique had taken this position, with Turkmenistan ranking 170th. Despite the observed DALY rates from 1990 to 2021, Turkmenistan experienced the highest change (EAPC: 15.23, 95% CI: 10.88–21.18), followed by the Republic of Cabo Verde (EAPC: 12.88, 95% CI: 8.14–18.75) and Mongolia (EAPC: 4.53, 95% CI: 2.90–6.88). A decrease in DALY was observed in over 24 nations, with the Republic of San Marino recording the largest decline (EAPC: -0.37, 95% CI: -0.55, -0.12), followed by Bermuda (EAPC: -0.26, 95% CI: -0.43, 0.03) and Greenland (EAPC: -0.26, 95% CI: -0.45, -0.009). Conclusions: From 1990 to 2021, DALY rates related to pancreatic cancer among individuals aged 70 and older rose worldwide, particularly in Turkmenistan, the Republic of Cabo Verde, and Mongolia. There is a pressing need for global adoption of screening programs to enable early detection and treatment of these cases. Metric Region 1990 2021 EAPC with 95% CI (1990-2021) HIGHEST DISABILITY-ADJUSTED LIFE YEARS (DALYS) PERCENT CHANGE Turkmenistan 19.66 319.09 15.22 (10.88–21.18) Republic of Cabo Verde 98.12 1361.76 12.88 (8.14–18.75) Mongolia 172.14 952.05 4.53 (2.90–6.88) LOWEST DISABILITY-ADJUSTED LIFE YEARS (DALYS) PERCENT CHANGE Republic of San Marino 1323.96 834.01 -0.37 (-0.55, -0.12) Bermuda 1696.97 1249.11 -0.26 (-0.43, 0.03) Greenland 2825.66 2082.43 -0.26 (-0.45, -0.009)
Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage
Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari, Stark, Benjamin, Johnson, Catherine O., Kaprio, Jaakko , Korja, Miikka, Krishnamurthi, Rita , Nair, Balakrishnan , Vergouwen, Mervyn D. I. , Abdelkader, Atef , Abdullahi, Auwal , Abualruz, Hasan , Abukhadijah, Hana J , Adamu, Lawan Hassan, Adegboye, Oyelola A. , Adzigbli, Leticia Akua, Agyemang‐Duah, Williams , Ahinkorah, Bright Opoku, Ahmad, Aqeel , Ahmad, Danish , Ahmadzade, Amir Mahmoud , Akkaif, Mohammed Ahmed , Ali, Mohammed Usman, Alif, Sheikh Mohammad , Alimohamadi, Yousef, Alsabri, Mohammed , Altaf, Awais , Alvis‐Guzmán, Nelson , Alwafi, Hassan , Al‐Wardat, Mohammad , Alyahya, Mohammad S. , Amin, Tarek Tawfik , Amindarolzarbi, Alireza , Amusa, Ganiyu , Angappan, Dhanalakshmi , Anuoluwa, Boluwatife Stephen, Anwar, Saleha, Anyasodor, Anayochukwu Edward , Apostol, Geminn Louis Carace, Areda, Demelash, Artamonov, Anton A, Artanti, Kurnia Dwi , Ashemo, Mubarek Yesse , Athar, Mohammad , Aujayeb, Avinash , Awotidebe, Adedapo Wasiu , Azadnajafabad, Sina , Aziz, Shahkaar , Bagheri, Nasser , Taqanaki, Pegah Bahrami , Bahramian, Saeed , Bai, Ruhai , Baig, Atif Amin , Baltatu, Ovidiu Constantin , Bam, Kiran, Barker‐Collo, Suzanne , Bärnighausen, Till , Bastan, Mohammad‐Mahdi , Basu, Sanjay , Bell, Shelly L, Benseñor, Isabela M , Berhie, Alemshet Yirga , Bhagavathula, Akshaya Srikanth , Bhaskar, Sonu , Bhat, Ajay Nagesh, Bhat, Vivek , Birhan, Mekuriaw Mesfin , Borhany, Hamed, Breitner, Susanne , Bulamu, Norma B. , Butt, Zahid A , Cabral, Lucas Scotta , Santos, Florentino Luciano Caetano dos , Cámera, Luis Alberto , Capodici, Angelo , Chadwick, Joshua , Chakraborty, Promit Ananyo , Chanie, Gashaw Sisay , Chattu, Vijay Kumar , Chi, Gerald, Chichagi, Fatemeh , Columbus, Alyssa , Criqui, Michael H, Ohadi, Mohammad Amin Dabbagh , Dadras, Omid , Dalli, Lachlan L. , Debopadhaya, Shayom , Dervišević, Emina , Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman , Dhane, Amol S. , Chi, Thanh, Phuong, Thao Huynh, Dohare, Sushil , Докова, Клара , Dowou, Robert Kokou , Dsouza, Haneil Larson , Dutta, Siddhartha , Dziedzic, Arkadiusz , E’mar, Abdel Rahman, Edvardsson, David , Efendi, Ferry, Nahas, Nevine El , Elgendy, Islam Y. , Eltaha, Chadi, Emeto, Theophilus I. , Fakhradiyev, Ildar , Faris, Pawan , Fauk, Nelsensius Klau , Fazylov, Timur, Fekadu, Ginenus , Fetensa, Getahun, Fischer, Florian, Foschi, Matteo , Fridayani, Ni Kadek Yuni, Gaipov, Abduzhappar , Gajjar, Avi A. , Ganesan, Balasankar , Gebregergis, Miglas Welay, Gebremeskel, Teferi Gebru , Getie, Molla , Ghadirian, Fataneh , Ghasemzadeh, Afsaneh , Gholamalizadeh, Maryam , Gil, Artyom , Goleij, Pouya , Goulart, Alessandra C. , Goulart, Bárbara Niegia Garcia de , Guan, Shi‐Yang , Gupta, Sapna , Habibzadeh, Farrokh , Hadi, Najah R, Hankey, Graeme J. , Harlianto, Netanja I. , Hasani, Hamidreza, Hasnain, Md Saquib , Haubold, Johannes , Havmoeller, Rasmus, Hay, Simon I , Hbid, Youssef , Heidari, Golnaz , Hiraike, Yuta, Hoan, Nguyen Quoc , Hosseinzadeh, Mehdi , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ikiroma, Adalia , Isola, Gaetano , Iwagami, Masao , Jacob, Louis, Jain, Akhil, Jakovljević, Mihajlo , Jatau, Abubakar Ibrahim , Jawaid, Talha, Jayapal, Sathish Kumar , Jonas, Jost B, Joseph, Nitin , Jürisson, Mikk , Kadashetti, Vidya, Kalani, Rizwan, Kamireddy, Arun , Kandel, Himal , Behnagh, Arman Karimi , Kashoo, Faizan , Kayode, Gbenga A , Kazemi, Foad , Khader, Yousef , Khaing, Inn Kynn , Khan, Fayaz Ahmad , Khan, Mohammad Jobair , Kashani, Hamid Reza Khayat , Khosla, Atulya Aman , Kim, Kwanghyun , Kim, Yun Jin , Korzh, Oleksii , Krishan, Kewal , Krishna, Varun, Krishnamoorthy, Vijay , Kuddus, Mohammed , Kulimbet, Mukhtar , Lahariya, Chandrakant, Lai, Daphne Teck Ching , Lai, Hanpeng , Laksono, Tri, Lallukka, Tea , Latifinaibin, Kaveh, Le, Nhi Huu Hanh, Le, Thao T. , Lee, Munjae , Lee, Yo Han , Lenzi, Jacopo , Leonardi, Matilde, Li, Ming‐Chieh , Li, Xiaopan , Lim, Stephen S , Lin, Jialing , Saute, Ricardo Lutzky , Malik, Ahmad Azam , Marateb, Hamid Reza , Maroufi, Seyed Farzad , Maugeri, Andrea , McPhail, Steven , Mehndiratta, Man Mohan, Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege , Miazgowski, Tomasz , Minervini, Giuseppe , Mithra, Prasanna , Mohamed, Abdalla Z. , Mohammad, Ameen Mosa , Mohammed, Shafiu , Moni, Mohammad Ali , Moradi, Yousef, Moraga, Paula , Morawska, Lídia , Munjal, Kavita , Murray, Christopher J L , Nagarajan, Ahamarshan Jayaraman , Naik, Ganesh R. , Najdaghi, Soroush , Davani, Delaram Narimani , DELETE-ME, Nawsherwan, Nazri-Panjaki, Athare , Negoi, Ruxandra Irina , Nematollahi, Soroush , Nguyen, Hau Thi Hien, Nguyen, Hau Thi Hien, Nguyen, Phat Tuan , Nguyễn, Văn Thành , Niazi, Robina Khan, Nikoobar, Ali , Sá, Antonio Tolentino Nogueira de , Nomura, Shuhei , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ojo-Akosile, Tolulope R, Oliveira, Gláucia Maria Moraes de , Olorukooba, Abdulhakeem Abayomi , Osuagwu, Uchechukwu Levi , Ouyahia, Amel, A, Mahesh Padukudru P, Panagiotakos, Demosthenes B. , Parikh, Romil R., Park, Seoyeon , Pedersini, Paolo , Peprah, Emmanuel , Perico, Norberto, Petermann-Rocha, Fanny Emily, Plotnikov, Evgenii , Полибин, Р. В. , Postma, Maarten J. , Prasad, Manya , Qian, Gangzhen , Rahmanian, Mohammad , Rajaa, Sathish , Rajput, Prashant , Ramadan, Mahmoud M. , Rane, Amey, Rashidi, Mohammad‐Mahdi , Razo, Christian , Reddy, Murali Mohan Rama Krishna, Remuzzi, Giuseppe, Rezaei, Negar , Rezaeian, Mohsen , Rocha, Hermano Alexandre Lima , Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo , Romoli, Michele, Romozzi, Marina, Roy, Nitai , Saddik, Basema Ahmad, Sahoo, Pragyan Monalisa , Salaroli, Luciane Bresciani , Samuel, Vijaya Paul, Samy, Abdallah M , Santric-Milicevic, Milena M., Saravanan, Aswini, Schlaich, Markus P. , Sethi, Yashendra , Seylani, Allen, Shaaban, Ahmed Nabil , Shafie, Mahan , Shaikh, Summaiya Zareen , Shamsutdinova, Alfiya, Sharifan, Amin , Rad, Javad Sharifi, Sharma, Vishal, Shashamo, Bereket Beyene , Shetty, Premalatha K, Shigematsu, Mika, Shorofi, Seyed Afshin, Singh, Paramdeep , Singh, Puneetpal , Singh, Surjit , Sobia, Farrukh , Solanki, Shipra, Soraneh, Soroush , Spartalis, Michael, Srinivasamurthy, Suresh Kumar , Stanikzai, Muhammad Haroon , Sun, Zhong , Swain, Chandan Kumar , Damavandi, Payam Tabaee , Tabatabaeizadeh, Seyed-Amir, Tabche, Celine , Taiba, Jabeen , Tamuzi, Jacques Lukenze , Tan, Ker‐Kan , Teramoto, Masayuki , Thakur, Ramna, Thankappan, Kavumpurathu Raman , Thayakaran, Rasiah , Thirunavukkarasu, Sathish, Ticoalu, Jansje Henny Vera, Tiwari, Krishna Raj , Tonelli, Marcello , Topór-Mądry, Roman , Tovani-Palone, Marcos Roberto Roberto, Tran, Jasmine, Tran, Thang Huu , Duc, Nguyen Tran Minh , Truelsen, Thomas Clement, Unim, Brigid, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj , Eynde, Jef Van den , Vladimirov, Sergey Konstantinovitch , Waheed, Yasir, Wahood, Waseem , Walde, Mandaras Tariku, Wang, Yanzhong , Wickramasinghe, Nuwan Darshana , Wolfe, Charles D. A., Wubie, Yihun Miskir, Xiao, Hong , Xu, Xiaoyue , Yano, Yuichiro , Yarahmadi, Amir , Ye, Pengpeng, Yon, Dong Keon , Zanghì, Aurora , Zare, Iman, Zastrozhin, Michael, Zhang, Zhi-Jiang , Zhang, Zhiqiang , Zhang, Zhiqiang, Zhao, Hanqing , Zhou, Shang Cheng, Zhumagaliuly, Abzal , Zia, Hafsa, Roth, Gregory A., Topór‐Mądry, Roman , Oliveira, Arão Belitardo , Rahim, Fakher , Saddik, Basema , Waheed, Yasir , Liu, Xuefeng , Zhang, Yunquan , Ozair, Ahmad , Buendía, Jefferson Antonio , Korja, Miikka , Baig, Atif Amin , Shanawaz, Mohd , Elgendy, Islam Y , Hankey, Graeme J , Alif, Sheikh M , Rezaei, Negar , Bhagavathula, Akshaya Srikanth , Van den Eynde, Jef , Ozair, Ahmad , Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari Matias , Volovici, Victor , Ranta, Annemarei , Rinkel, Gabriël J.E. , Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat , Abd-Allah, Foad , Abdi, Parsa , Abdollahi, Arash , Abiodun, Olugbenga Olusola , Aboagye, Richard Gyan , Abouzid, Mohamed , Abtahi, Dariush , Abu‐Rumeileh, Samir , Abualhasan, Ahmed , Abu‐Zaid, Ahmed , Addo, Isaac Yeboah , Adedoyin, Rufus Adesoji , Adra, Saryia , Ahinkorah, Bright Opoku , Ahmed, Ali , Ahmed, Haroon , Ahmed, Syed Anees , Aji, Budi , Al‐Ajlouni, Yazan A. , Al‐Aly, Ziyad , ALBashtawy, Mohammed , Aljunid, Syed Mohamed , Alomari, Mahmoud A. , Alrawashdeh, Ahmad , Alsabri, Mohammed A., Salman, Rustam Al‐Shahi , Al‐Tammemi, Ala’a B. , Al‐Worafi, Yaser Mohammed , Aly, Hany Z. , Alzoubi, Karem Hasan , Amani, Reza, Anderlini, Deanna , Anil, Abhishek , Arabloo, Jalal , Ärnlöv, Johan , Arumugam, Ashokan , Aryan, Zahra , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Athari, Seyyed Shamsadin , Azzam, Ahmed Y , Babu, Giridhara R. , Bako, Abdulaziz Tijjani , Banach, Maciej , Bandyopadhyay, Soham , Banik, Biswajit , Bardhan, Mainak , Barqawi, Hiba Jawdat , Barua, Lingkan , Beyene, Kebede Abera , Bhat, Vivek, Bhatti, Gurjit Kaur , Bhatti, Jasvinder Singh , Bijani, Ali , Bikbov, Boris , Birhanu, Mulugeta Molla , Bitra, Veera Raghavulu , Boloor, Archith , Brenner, Hermann , Bugiardini, Raffaele , Călina, Daniela Cornelia , Campos, Luciana Aparecida , Campos‐Nonato, Ismael , Carvalho, Félix , Castañeda-Orjuela, Carlos A , Catapano, Alberico Luigi , Cegolon, Luca , Chakraborty, Chiranjib , Chakraborty, Sandip , Chandika, Rama Mohan , Chaudhary, Anis Ahmad , Chi, Gerald , Ching, Patrick R , Chopra, Hitesh , Choudhari, Sonali Gajanan , Chowdhury, E. , Chu, Dinh‐Toi , Chung, Sheng‐Chia , Silva, Alanna Gomes da , Dai, Xiaochen , Dalal, Koustuv , D’Amico, Emanuele , Dashti, Mohsen , Davletov, Kairat , Cruz-Góngora, Vanessa Vianey De la , Delgado‐Enciso, Iván , Devanbu, Vinoth Gnana Chellaiyan, Dibas, Mahmoud , Doheim, Mohamed Fahmy , Dongarwar, Deepa , D’Oria, Mario , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , Efendi, Defi , Efendi, Ferry , Elhadi, Muhammed , Eltahir, Mohd. Elmagzoub , Fabin, Natalia , Fagbamigbe, Adeniyi Francis , Fahim, Ayesha , Fares, Jawad , Ferreira, Nuno Bravo , Gandhi, Aravind P. , Garg, Ravindra Kumar , Gebrehiwot, Mesfin , Ghadimi, Delaram J. , Ghahramani, Sulmaz , Ghazy, Ramy Mohamed , Ghozy, Sherief , Gilani, Jaleed Ahmed , Gnedovskaya, Elena V. , Hadei, Mostafa , Hamidi, Samer , Hanifi, Nasrin , Haro, Josep María , Hasan, Faizul , Tabatabaei, Mahgol Sadat Hassan Zadeh , Heidari, Mohammad , Hemmati, Mehdi , Holla, Ramesh , Hostiuc, Sorin , Huang, Junjie , Huynh, Hong-Han , Ikeda, Nayu , Ilaghi, Mehran , Ilesanmi, Olayinka Stephen , Ilić, Irena , Ilić, Milena , Islam, Md. Rabiul , Ismail, Nahlah Elkudssiah , Iso, Hiroyasu , Jafarzadeh, Abdollah , Jairoun, Ammar Abdulrahman , Kalani, Rizwan, Kamal, Vineet Kumar , Kanchan, Tanuj , Karami, Jafar , Karaye, Ibraheem M. , Karimi, Yeganeh , Kesse‐Guyot, Emmanuelle , Khan, Fayaz, Khatatbeh, Haitham , Khatatbeh, Moawiah Mohammad , Kheirallah, Khalid Ahmed , Khidri, Feriha Fatima , Khormali, Moein , Kısa, Adnan , Kısa, Sezer , Kivimäki, Mika , Kolahi, Ali‐Asghar , Kompani, Farzad , Kostev, Karel , Kothari, Nikhil , Kunutsor, Setor K. , Kurniasari, Maria Dyah , Kusuma, Dian Palupi , Kytö, Ville , Vecchia, Carlo La , Lahariya, Chandrakant , Latief, Kamaluddin , Lee, Seung Won , Lee, Wei‐Chen , Leonardi, Matilde, Liu, Xuefeng , Lohner, Valerie , Lorenzovici, László , Lotufo, Paulo A. , Lucchetti, Giancarlo , Lusk, Jay B. , Amin, Hawraz Ibrahim M. , Malhotra, Armaan Kush , Malhotra, Kashish , Malta, Déborah Carvalho , Mansournia, Mohammad Alì , Mantovani, LG , Manu, Emmanuel, Marino, Mirko , Martínez, Ramón , Martini, Santi , Martorell, Miquel , Marzo, Roy Rillera , Mathangasinghe, Yasith , Mathews, Elezebeth , Mehmood, Asim , Mehrabani-Zeinabad, Kamran , Menezes, Ritesh G. , Meo, Sultan A , Meretoja, Atte , Meštrović, Tomislav , Sá, Ana Carolina Micheletti Gomide Nogueira de , Minh, Le Huu Nhat , Mirică, Andreea , Мirrakhimov, Erkin М , Mirza‐Aghazadeh‐Attari, Mohammad , Mishra, Ajay Kumar , Mohamed, Ahmed Ismail , Mohammadi, Soheil , Mohammadian-Hafshejani, Abdollah , Mokdad, Ali H. , Molinaro, Sabrina , Momani, Shaher , Ghalibaf, AmirAli Moodi , Moradi, Maryam , Msherghi, Ahmed A.A. , Ansari, Noureddin Nakhostin , Nargus, Shumaila , Natto, Zuhair S. , Nauman, Javaid , DELETE-ME, Nawsherwan, Nayak, Vinod C , Newton, Charles R. , Nigatu, Yeshambel T. , Noubiap, Jean Jacques , Nugen, Fred , Oduro, Michael Safo , Okati‐Aliabad, Hassan , Okeke, Sylvester Reuben , Okekunle, Akinkunmi Paul , Olagunju, Andrew T , Olaiya, Muideen Tunbosun , Olufadewa, Isaac Iyinoluwa , Ornello, Raffaele , Ortiz‐Prado, Esteban , Ouyahia, Amel , Owolabi, Mayowa , Padrón‐Monedero, Alicia , Padubidri, Jagadish Rao , Panos, Leonidas D , Pantazopoulos, Ioannis N. , Parikh, Romil R., Patel, Jay , Patel, Urvish , Patoulias, Dimitrios , Pereira, Gavin F , Perianayagam, Arokiasamy , Perna, Simone , Petermann‐Rocha, Fanny , Philip, Anil K. , Пирадов, М. А. , Pradhan, Jalandhar , Puvvula, Jagadeesh , Qasim, Nameer Hashim , Raggi, Alberto , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rahmani, Amir Masoud , Sanati, Ali Rajabpour , Ramasamy, Shakthi Kumaran , Ramazanu, Sheena , Rathish, Devarajan , Rawaf, Salman , Redwan, Elrashdy M , Remuzzi, Giuseppe , Romoli, Michele, Romozzi, Marina , Ross, Allen Guy , Rout, Himanshu Sekhar , Roy, Priyanka , Saad, Aly M A , Saadatian, Zahra , Sabour, Siamak , Sacco, Simona , Sadeghi, Erfan , Saeed, Usman, Sharif‐Askari, Fatemeh Saheb , Sahebkar, Amirhossein , Sajib, Md Refat Uz Zaman , Saleh, Mohamed A. , Samodra, Yoseph Leonardo , MİLİCEVİC, Milena Santric, Saravanan, Aswini , Sarkar, Tanmay, Sarode, Sachin Chakradhar , Sartorius, Benn , Satpathy, Maheswar , Schneider, Ione Jayce Ceola , Schuermans, Art , Selvaraj, Siddharthan , Senthilkumaran, Subramanian , Sepanlou, Sadaf Ghajarieh , Shahwan, Moyad Jamal , Shamim, Muhammad Aaqib , Shamsi, Anas , Shannawaz, Mohammed , Rad, Javad Sharifi, Sharma, Vishal , Shittu, Aminu , Shiue, Ivy , Shlobin, Nathan A. , Siddig, Emmanuel Edwar , Spartalis, Michael , Stanaway, Jeffrey D , Starodubova, Antonina Vladimirovna , Szarpak, Łukasz , Tabatabaeizadeh, Seyed‐Amir , Tabatabaeizadeh, Seyed-Amir, Talaat, Iman Mamdouh , Temsah, Mohamad‐Hani , Thakur, Ramna , Thirunavukkarasu, Sathish, Tiwari, Krishna, Truyen, Thien Tan Tri Tai , Tsai, Daniel Hsiang‐Te , Ullah, Atta , Unnikrishnan, Bhaskaran , Unsworth, Carolyn Anne, Usman, Jibrin Sammani , Valizadeh, Rohollah , Varghese, Joe , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vervoort, Dominique , Villafañe, Jorge Hugo , Vinayak, Manish , Wafa, Hatem A , Walde, Mandaras Tariku, Willeit, Peter , Wolfe, Charles D.A. , Wolfe, Charles D. A., Yamagishi, Kazumasa , Yaribeygi, Habib , Yaya, Sanni , Ye, Pengpeng, Yonemoto, Naohiro , Yu, Chuanhua , Zastrozhin, Michael, Zhang, Chen , Zhang, Zhiqiang, Zielińska, Magdalena , Zyoud, Samer H. , Roth, Gregory A. , Feigin, Valery L. , Kulimbet, Mukhtar , Rahim, Fakher

JAMA Neurology | May 23, 2025 | Volume: 82 | Issue: 8 | Pages: 765

10.1001/jamaneurol.2025.1522 | PMID 40406922 Get It

Importance Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure. Objective To estimate the worldwide burden of SAH. Design, Setting, and Participants Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021. Exposures SAH and 14 modifiable risk factors. Main Outcomes and Measures Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs). Results In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution. Conclusions and Relevance Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.
Efficacy and Safety of Cryoballoon Versus Radiofrequency Ablation for Persistent Atrial Fibrillation: A Meta-Analysis of Randomized Controlled Trials
Burhan, Muhammad , Balbaa, Elsayed, Imtiaz, Zeeshan , Ibrahim, Ahmed M. , Virk, Hafeez Ul Hassan , Munir, Muhammad Bilal, Munir, Muhammad Bilal , Burhan, Muhammad , Munir, Muhammad Bilal , Burhan, Muhammad , Ibrahim, Ahmed , Balbaa, Elsayed , Naeem, Farhan , Qamar, Usama , Tabassum, Shehroze , Ahmed, Raheel , Asad, Zain Ul Abideen

Cardiology in Review | May 22, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1097/crd.0000000000000947 | PMID 40401921 Get It

Managing persistent atrial fibrillation (AF) remains challenging due to its complex arrhythmic substrate, and pulmonary vein isolation through catheter ablation remains the primary treatment. This meta-analysis aims to compare the efficacy and safety outcomes of cryoballoon ablation (CBA) and radiofrequency ablation (RFA) in patients with persistent AF to provide evidence-based insights for clinical decision-making. A systematic search of PubMed, Embase, and Cochrane Central was conducted following PRISMA guidelines. Randomized controlled trials (RCTs) comparing CBA and RFA in persistent AF were included. Data on efficacy, safety, and procedural outcomes were pooled in the form of odds ratios (ORs) or mean differences (MDs) with corresponding 95% confidence intervals (CIs) using the random effects model in the Review Manager (RevMan) software. Four RCTs comprising 899 patients were included in our analysis. There were no significant differences between CBA and RFA in terms of AF recurrence, atrial tachycardia/flutter recurrence, or any arrhythmia recurrence during a mean follow-up period of 18 months after ablation. Procedure time was significantly shorter with CBA (MD: −44.85 minutes, 95% CI: −56.46 to −32.24, P < 0.01), while fluoroscopy time was comparable between the 2 groups (MD: 4.31 minutes, 95% CI: −1.79 to 10.40, P = 0.17). Safety outcomes, including overall complications, phrenic nerve palsy, access-site complications, and pericardial effusion, showed no significant differences between the 2 groups. CBA and RFA show similar rates of atrial arrhythmia recurrence and periprocedural complications in the treatment of persistent AF, while CBA offers the advantage of a shorter procedure time.
Medical Students’ Perceptions of Large Language Models in Healthcare: A Multinational Cross-Sectional Study
Ejas, Faiza, Khan, Sameer Asim , Mujahid, Amina, AlJoker, Fatma, Alvarado-Villa, Geovanny , Kashyap, Abhishek , Nigatu, Kindie Woubshet, Jain, Nethra , Iyer, Nandhini, Sandhu, Aman , Sharafat, Shahab, Yahya, Sara , Ghaly, Mohamd Mahmoud, Ibrar, Ibrahim Hassan , Grewal, Harpreet , Mehta, Priyal , Arshad, Zara , Yahya, Sara , Ghaly, Mohamd Mahmoud , Singh, Aakanksha , Grewal, Harpeet , Arshad, Zara , Khan, Sameer Asim , Mujahid, Amina, Mautong, Hans , Kashyap, Abhishek, Yasir, Muhammad Umer , Iyer, Nandhini , Huespe, Iván , Kashyap, Rahul , Nawaz, Faisal A.

Journal of Medical Education and Curricular Development | May 21, 2025 | Volume: 12 | Issue: No issue available | Pages: No page available

10.1177/23821205251331124 | PMID 40672122 Get It

Background Artificial intelligence (AI) and large language models (LLMs), are potential tools for enhancing healthcare delivery and clinical research. Presently, there is a scarcity of research regarding the viewpoints of medical students toward LLMs. This study aims to explore the perceptions of LLMs and their applications among this demographic. Methods A cross-sectional study was done using an online survey. It was designed using Google Forms and circulated from July 2023 to August 2023. The target population included medical students from Ecuador, Ethiopia, India, Mauritius, Pakistan, United Arab Emirates (UAE), and the United States (USA). Results A total of 1180 responses were collected from 10 medical colleges across 7 countries. The UAE had the largest number of responses (31.7%), followed by Ecuador (17.6%), and Mauritius (13.7%). And 77.4% respondents were already aware about LLMs before attempting the survey, most popularly, ChatGPT. Participants were most familiar with the specific use of LLMs in research (46%), and the lowest familiarity was seen in the use of LLMs in healthcare (37%). More than half of the participants (52%) support the use of LLMs healthcare, yet a significant number of them remained neutral (37%) or disagreed (31%) on LLMs being safe in this context. Conclusion While most of the medical students are aware of LLMs and their applications, the multinational survey demonstrated hesitancy among medical students in fully adopting LLMs into healthcare practice and clinical research. This study prompts further exploration of medical students’ attitudes and acceptance concerning the integration of LLMs for research methodologies, ethical considerations, and healthcare practice.
Artificial Intelligence in Gastroenterology Education: DeepSeek Passes the Gastroenterology Board Examination and Outperforms Legacy ChatGPT Models
Ibrahim, Andrew , Danpanichkul, Pojsakorn , Hayek, Alberto , Paul, Elahna , Farag, Annmarie , Mansoor, Masab , Cheungpasitporn, Wisit , Othman, Mohamed O. , Ibrahim, Andrew F , Hayek, Alexander , Paul, Edwin , Cheungpasitporn, Wisit , Othman, Mohamed O , Danpanichkul, Pojsakorn , Thongprayoon, Charat

American Journal of Gastroenterology | May 20, 2025 | Volume: 121 | Issue: 4 | Pages: 1041-1043

10.14309/ajg.0000000000003552 | PMID 40392256 Get It

INTRODUCTION: DeepSeek was evaluated in gastroenterology board examination performance against legacy ChatGPT offline models, which previously showed failing performance. METHODS: The performances of the DeepSeek base R1 model and search-augmented R1 model were assessed using American College of Gastroenterology self-assessments (455 questions). RESULTS: DeepSeek exceeded the passing threshold. Search-augmented DeepSeek scored 81.5% across all questions, and the R1 base model scored 77.1%. Both search-augmented and offline DeepSeek models surpassed offline ChatGPT-3 (65.1%) and ChatGPT-4 (62.4%) ( P < 0.001). DISCUSSION: DeepSeek exhibited passing performance on the gastroenterology board examination but had gaps in niche topics and image exclusion limit utility. It may supplement education if validated by specialists.
Outpatient cardiovascular disease consultation wait times in the united states-mexico border regions
Abdelnabi, Mahmoud, Kanaan, Christopher, Mee, Xuan Ci , Lim, Ghee Kheng, Bcharah, George , Barry, Timothy, Lee, Justin Z, Farina, J M, Ayoub, Chadi , Lee, K L, Ibrahim, Ramzi, Griffith, Kevin N. , Pham, Hoang Nhat , Abdelnabi, Mahmoud , Arsanjani, Reza

European Journal of Preventive Cardiology | May 19, 2025 | Volume: 32 | Issue: Supplement_1 | Pages: No page available

10.1093/eurjpc/zwaf236.149 Get It

Abstract Background/Introduction Access to timely healthcare in disadvantaged areas remains essential to achieving equitable health outcomes, especially in regions facing structural and social vulnerabilities. Purpose To assess wait times for cardiovascular disease consultations in US-Mexico border regions compared to non-border regions among US Veterans. Methods This cross-sectional analysis included all veteran cardiovascular consultations referred through the Veterans Choice Program to community healthcare centers from 2014 to 2020. We obtained the average wait times in days for consultation approval, scheduling, completion, and total wait time from approval to consultation completion. All consultations were classified by county of residence as either within a US-Mexico border region or a non-border region, as per the La Paz Agreement. Multivariable linear regression analyses were performed to evaluate the impact of border status on average wait times. ARIMA modeling was completed to estimate forecasted wait times during the COVID-19 pandemic. Results A total of 485,158 consultations related to outpatient cardiovascular disease were retrieved from the VA Healthcare System. Amongst these, 461,696 of the consultations were placed in non-border regions whereas 23,462 consultations were placed in US-Mexico border regions. The most common consultation requests were made for general cardiology clinic (n=365,227), echocardiography (n=32,017), cardio-pulmonary rehabilitation (n=40,699), and cardiac stress testing (n=16,258). Wait times for cardiovascular disease consultations were not higher in US-Mexico border counties than in non-border regions. For electrophysiology consultations specifically, border counties exhibited significantly shorter total wait times (coeff = -10.81, p=0.008). Additionally, while the COVID-19 pandemic led to increased total wait times in non-border areas (Figure 1), total wait times in border regions remained stable during this period (Figure 2). Conclusions Our findings suggest that US-Mexico border region status does not result in longer wait times for cardiovascular disease consultations, with the exception of shorter wait times for electrophysiology services. This study provides important insights into the unique dynamics of healthcare access in structurally disadvantaged regions, highlighting that wait times are not a significant barrier to cardiovascular care in border areas, and emphasizes the need to consider regional differences in healthcare delivery policies.
Impact of sglt2 inhibitors on cardiovascular outcomes in patients with acute myocardial infarction
Ibrahim, Risqot Garba , Mee, Xuan Ci , Pham, Huyen Q., Abdelnabi, Mahmoud , Bcharah, George , Barry, Timothy, Fariña, Juliana, Ayoub, Chadi , Lee, K, Lim, G, Pham, H, Salih, Mustafa Abdalla M , Farina, J, Arsanjani, Reza

European Journal of Preventive Cardiology | May 19, 2025 | Volume: 32 | Issue: Supplement_1 | Pages: No page available

10.1093/eurjpc/zwaf236.239 Get It

Abstract Background Sodium-glucose cotransporter 2 inhibitors (SGLT2-Is) have emerged as a vital component in the management of heart failure (HF), demonstrating significant improvements in cardiac function. However, their impact on outcomes in patients with acute myocardial infarction (AMI) remains poorly characterized. This study aimed to evaluate the long-term outcomes of SGLT2-Is among patients with AMI. Methods We conducted a retrospective cohort study using data from the TriNetX Banner Health Network platform in the United States, including patients aged ≥18 years with AMI identified through ICD-10 codes. Patients were categorized into two cohorts based on SGLT2-I use. Propensity score matching (PSM) was performed to balance baseline demographics, comorbidities (e.g., hypertension, diabetes, chronic kidney disease, heart failure, and hyperlipidemia), and medication use (e.g., heart failure therapies, antiplatelet agents, anticoagulants). Risk ratios (RRs) and 95% confidence intervals (95% CIs) were estimated for the following cardiovascular outcomes: acute HF hospitalizations, stroke, all-cause hospitalizations, recurrent AMI, cardiac arrest, and new-onset atrial fibrillation (AF). Kaplan-Meier analysis was completed to estimate survival probability from all-cause hospitalizations. Results After PSM, 2,440 patients were analyzed (1,220 SGLT2-I users; 1,220 non-users). Both cohorts had similar characteristics without any residual imbalance: mean age 67.7 years in the SGLT2-I group vs. 67.5 years in non-users, and both groups included 85.2% White and 33.6% female patients. Mean follow-up duration was 608 days for SGLT2-I users and 1,013.5 days for non-users. SGLT2-I use was associated with significantly lower rates of all-cause hospitalizations (RR: 0.712; 95% CI: 0.652–0.777), HF-related hospitalizations (RR: 0.878; 95% CI: 0.781–0.987), recurrent AMI (RR: 0.821; 95% CI: 0.703–0.959), and cardiac arrest (RR: 0.500; 95% CI: 0.345–0.725). No significant differences were observed in stroke (RR: 0.909; 95% CI: 0.702–1.178) or new-onset AF (RR: 0.889; 95% CI: 0.782–1.010) between the cohorts. Conclusions SGLT2-Is are associated with improved cardiovascular outcomes in patients with AMI, including reductions in all-cause and HF-related hospitalizations, recurrent AMI, and cardiac arrest. While these findings are hypothesis-generating, they emphasize the need for prospective clinical trials to confirm these results.Kaplan-Meier Analysis.
Are There Differences in 2-Year Outcomes Between Two-Level Anterior Cervical Diskectomy and Fusion Versus Single-Level Anterior Cervical Corpectomy and Fusion to Treat Cervical Myelopathy? A Quality Outcomes Database Study
Berlin, Connor , Mummaneni, Praveen V., Chan, Andrew K. , Chou, Dean , Fu, Kai-Ming, Bydon, Mohamad , Bisson, Erica F. , Shaffrey, Christopher I. , Gottfried, Oren N., Asher, Anthony L. , Coric, Domagoj , Potts, Eric A. , Foley, Kevin T. , Wang, Michael Y. , Virk, Michael S. , Knightly, John J. , Meyer, Scott A., Upadhyaya, Cheerag D., Tumialán, Luis M. , Turner, Jay D. , Uribe, Juan S. , Haid, Regis W., Yen, Chun-Po , Shaffrey, Mark E., Shaffrey, Mark E , Ibrahim, Sufyan , Mummaneni, Praveen V. , Park, Paul

Neurosurgery | May 19, 2025 | Volume: 97 | Issue: 5 | Pages: 1091-1099

10.1227/neu.0000000000003518 | PMID 40388528 Get It

BACKGROUND AND OBJECTIVES: There has been limited assessment between anterior cervical diskectomy and fusion (ACDF) and anterior cervical corpectomy and fusion (ACCF) on patient-reported outcome measures (PROMs) in the treatment of cervical spondylotic myelopathy. We sought to compare PROMs from two-level ACDF with single-level ACCF procedures. We evaluate these results in the context of minimum clinically important difference (MCID) thresholds, which have not been performed previously. METHODS: This retrospective analysis of prospectively collected data from the Quality Outcomes Database Spine Collaborative Research Study Group compared two-level ACDF and single-level ACCF at 3-, 12-, and 24 months postoperatively. PROMs included arm pain Numeric Rating Scale, neck pain Numeric Rating Scale, Neck Disability Index, and North American Spine Society Patient Satisfaction Index. Multivariate logistic regression was used to determine differences in perioperative outcomes, as well as the impact of two-level ACDF vs one-level ACCF on PROMs. MCID thresholds were based off previously established limits. RESULTS: Three hundred and thirty patients were included (236 ACDF, 94 ACCF), and the follow-up rate was 82% at 2 years. There was a significantly higher baseline age, American Society of Anesthesiologists grade, proportion of diabetes, osteoarthritis, ambulation dependence, and myelopathy severity in the ACCF cohort. On multivariable analysis, the ACCF group had greater average length of stay and estimated blood loss. There were no significant differences between reoperation rates or nonroutine discharge. There were similar rates of MCID achievement for PROMs at all time points. CONCLUSION: This study suggests that both ACDF and ACCF procedures for cervical spondylotic myelopathy are able to achieve similar, clinically meaningful improvements in PROMs by 2 years. Patients undergoing single-level ACCF have more estimated blood loss and longer length of stay, as well as worse baseline myelopathy. Both procedures have efficacious, durable outcomes. It is reasonable that other factors, such as radiographic characteristics and patient symptoms, may influence patient selection for ACDF vs ACCF.
The use of intraventricular vancomycin in subacute brain abscess in an adolescent male: A case report
Karakuş, İbrahim Serhat , Leng, Tomas

The Journal of Critical Care Medicine | May 15, 2025 | Volume: 11 | Issue: 2 | Pages: 198-201

10.2478/jccm-2024-0046 | PMID 40386705 Get It

Abstract Introduction Brain abscess is a serious condition in children, leading to rapid deterioration, and permanent neurological damage associated with significant morbidity and mortality. Current management protocols for brain abscesses focus on intravenous antibiotics and surgical excision and drainage. Case Presentation A 12-year-old adolescent male who had headache and photophobia and was diagnosed with multiple brain abscesses and was refractory to conventional medical and neurosurgical intervention. A single dose of 10 mg vancomycin was administered through endo-ventricular drain, resulting in resolution of abscesses and alleviation of symptoms. Conclusion We describe the first instance of intraventricular vancomycin use in the pediatric age group for the treatment of multiple brain abscesses. Given the variability in dosing reported in the literature, our case report warrants further studies to standardize dosage for this rare intervention.
Evolving Strategies in the Detection and Management of Left Ventricular Thrombus: A Clinical Summary
Abdelnabi, Mahmoud , Ibrahim, Ramzi, Saleh, Yehia , Ibrahim, Ramzi, Pham, Hoang Nhat , Almaghraby, Abdallah Mostafa

Current Cardiology Reviews | May 12, 2025 | Volume: 21 | Issue: 6 | Pages: No page available

10.2174/011573403x364065250429095440 | PMID 40353464 Get It

Recent advancements have emerged in understanding the epidemiology and optimal therapeutic options for left ventricular thrombi (LVT). With early percutaneous interventions in acute myocardial infarction, the prevalence of LVT has decreased. However, the best strategies for prevention, risk stratification, and management remain unclear, especially among nonischemic cardiomyopathy disorders. This review outlines these advancements and provides an overview of the diagnostic and therapeutic implications of LVT in ischemic and non-ischemic cardiomyopathies. Significant gaps in the current evidence persist, particularly regarding the optimal timing for LVT screening and the need for prophylactic anticoagulation, highlighting opportunities for prospective cohort studies. Furthermore, a better understanding of the unique risk factors that contribute to increased LVT risk would lead to more comprehensive algorithms that may quantify the risk of LVT development, aiding in developing preventive strategies targeted at reducing rates of LVT. Until more definitive evidence is available, clinicians should custom LVT screening, preventive measures, and management strategies based on individual patient risk factors.