1,364 results on '"Hamid, Saeed"'
Search Results
2. Expert consensus on the diagnosis and treatment of end-stage liver disease complicated by infections
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Chen, Tao, Chen, Guang, Wang, Guiqiang, Treeprasertsuk, Sombat, Lesmana, Cosmas Rinaldi Adithya, Lin, Han-Chieh, Al-mahtab, Mamun, Chawla, Yogesh K., Tan, Soek-Siam, Kao, Jia-Horng, Yuen, Man-Fung, Lee, Guan-Huei, Alcantara-Payawal, Diana, Nakayama, Nobuaki, Abbas, Zaigham, Jafri, Wasim, Kim, Dong-Joon, Choudhury, Ashok, Mahiwall, Rakhi, Hou, Jinlin, Hamid, Saeed, Jia, Jidong, Bajaj, J. S., Wang, Fusheng, Sarin, Shiv K., and Ning, Qin
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- 2024
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3. Usability and acceptability of self-testing for hepatitis C virus exposure in a high-prevalence urban informal settlement in Karachi, Pakistan
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Mazzilli, Sara, Aslam, Muhammad K., Akhtar, Javed, Miazek, Marta, Wailly, Yves, Hamid, Saeed, Shilton, Sonjelle, Donchuk, Dimitri, de Glanville, William A., and Isaakidis, Petros
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- 2024
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4. Ammonia is associated with liver-related complications and predicts mortality in acute-on-chronic liver failure patients
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Thanapirom, Kessarin, Treeprasertsuk, Sombat, Choudhury, Ashok, Verma, Nipun, Dhiman, Radha Krishan, Al Mahtab, Mamun, Devarbhavi, Harshad, Shukla, Akash, Hamid, Saeed Sadiq, Jafri, Wasim, Tan, Soek Siam, Lee, Guan H., Ghazinyan, Hasmik, Sood, Ajit, Kim, Dong Joon, Eapen, C. E., Tao, Han, Yuemin, Nan, Dokmeci, A. Kadir, Sahu, Manoj, Arora, Anil, Kumar, Ashish, Kumar, Ramesh, Prasad, V. G. Mohan, Shresta, Ananta, Sollano, Jose, Payawal, Diana Alcantara, Lau, George, and Sarin, Shiv Kumar
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- 2024
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5. SAT-129 Sub-optimal global public health policies and strategies to combat hepatocellular carcinoma
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Diaz, Luis Antonio, Norero, Blanca, Corsi, Oscar, Ayares, Gustavo, Idalsoaga, Francisco, García, Sergio, Vázquez, Valeria, Lacalle, Lucas, Lazo, Mariana, Ferreccio, Catterina, Mendizabal, Manuel, Piñero, Federico, Martinez, Edmundo, Ijeoma, Ifeorah, Louvet, Alexandre, Piano, Salvatore, Cortez-Pinto, Helena, Wong, Vincent Wai-Sun, Kulkarni, Anand, Cotter, Thomas, Brahmania, Mayur, roblero, Juan Pablo, Dirchwolf, Melisa, Pollarsky, Florencia, George, Jacob, Stauber, Rudolf E, Francque, Sven, Guerra, Patricia, Oliveira, Claudia, Araujo, Roberta, Álvares-da-Silva, Mario, Blaise, Nkegoum, Abraldes, Juan G, Zheng, Ming-Hua, Toro, Luis, Restrepo, Juan Carlos, Ramirez, Wagner, Grgurević, Ivica, Infante, Mirtha, Mbendi, Charles, Carrera, Enrique, Kassas, Mohamed El, Mahmoud, Abdelmajeed, Tesfaye, Yonas Gedamu, Tadesse, Sewale Anagaw, Akalu, Tiruwork Fekadu, Desalegn, Hailemichael, Allaire, Manon, Patrizia, Carrieri, Schattenberg, Jörn, Aguyire, Joan, Micah, Eileen Akonobea, Tachi, Kenneth, Cardona, Katherine Emilia Maldonado, Sanchez, Abel, Sánchez, Marco, Björnsson, Einar S, Iavarone, Massimo, Okamoto, Ryuichi, Some, Fatuma, Hellani, Mohammad Fadel, Gonzalez, Veronica Enith Prado, Chávez-Tapia, Norberto Carlos, Méndez-Sánchez, Nahum, Mucumbi, Sheila Constância Mabote, Ugiagbe, Rose Ashinedu, Akande, Kolawole, Nwoko, Chinenye, Ezenkwa, Uchenna Simon, Okoye, Ifeoma Joy, Hamid, Saeed Sadiq, Quezada, Julissa Lombardo, Girala, Marcos, Padilla, P Martin, Diaz-Ferrer, Javier, Tagle, Martin, Kukla, Michał, Odeghe, Emuobor, wemimo, Rasheed mumini, Reis, Daniela, Mozgovoi, Sergei, Ismail, Mona, Koller, Tomas, Spearman, Wendy, Elhassan, Moawia, Stal, Per, Pazi, Swaleh, Ocanit, Anthony, Masson, Steven, Dunn, Winston, Kamath, Patrick S, Singal, Ashwani, Debes, Jose, Reig, María, Loomba, Rohit, Bataller, Ramon, Lazarus, Jeffrey, Arrese, Marco, and Arab, Juan Pablo
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Biomedical and Clinical Sciences ,Clinical Sciences ,Public Health and Health Services ,Gastroenterology & Hepatology ,Clinical sciences - Published
- 2023
6. Pharmacological investigations of newly synthesized oxazolones and imidazolones as COX-2 inhibitors
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Iqra Saleem Naz Babari, Muhammad Islam, Hamid Saeed, Humaira Nadeem, and Hassaan Anwer Rathore
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Oxazole ,Imidazoles ,COX-2 inhibitors ,Carrageenan induced paw edema ,Tissue antioxidant activity ,H& E staining ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Oxazoles and Imidazoles are heterocyclic compounds with significant biological activities. The present study explores the pharmacological effects of some new oxazole and imidazole derivatives as potential COX-2 inhibitors. Docking studies of the compounds against targeted proteins COX-2 and TACE manifested good binding affinities for both the targets supporting their anti-inflammatory potential. Compounds (3F-A, 3F-B, N-A, N-B) were evaluated for in vivo anti-inflammatory effects by carrageenan-induced paw edema. Among all, compound N-A was found to be the most effective as it displayed most pronounced reduction in inflammation that was comparable to indomethacin. The in vivo tissue antioxidant activity was performed for estimation of the level of catalase, GSH, GST, and thiobarbituric acid in paw tissue. The results exhibited that targeted compounds improved the oxidative stress and restored the expression of enzymes. H &E staining revealed that aforesaid compounds displayed well-defined restoration of cellular damage. Compound NA exhibited maximum structural and functional preservation. Reduction in the expression of inflammatory markers was also analyzed by ELISA and maximum reduction in protein expression (COX-2 and TNF-a) was observed for compound N-B. Quantification of mRNA was done using PCR and a decrease in the expression of COX-2 mRNA level in treatment groups was depicted by all the new compounds but N-B showed maximum reduction in enzyme expression. All the results obtained from the present study have shown the significant anti-inflammatory potential of new compounds via the COX-2 inhibition pathway.
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- 2024
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7. TransLSTM: A hybrid LSTM-Transformer model for fine-grained suggestion mining
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Samad Riaz, Amna Saghir, Muhammad Junaid Khan, Hassan Khan, Hamid Saeed Khan, and M. Jaleed Khan
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Suggestion mining ,Long Short-Term Memory (LSTM) network ,Switch transformer ,Digital platforms ,Computational linguistics. Natural language processing ,P98-98.5 - Abstract
Digital platforms on the internet are invaluable for collecting user feedback, suggestions, and opinions about various topics, such as company products and services. This data is instrumental in shaping business strategies, enhancing product development, and refining service delivery. Suggestion mining is a key task in natural language processing, which focuses on extracting and analysing suggestions from these digital sources. Initially, suggestion mining utilized manually crafted features, but recent advancements have highlighted the efficacy of deep learning models, which automatically learn features. Models like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), and Bidirectional Encoder Representations from Transformers (BERT) have been employed in this field. However, considering the relatively small datasets and the faster training time of LSTM compared to BERT, we introduce TransLSTM, a novel LSTM-Transformer hybrid model for suggestion mining. This model aims to automatically pinpoint and extract suggestions by harnessing both local and global text dependencies. It combines the sequential dependency handling of LSTM with the contextual interaction capabilities of the Transformer, thus effectively identifying and extracting suggestions. We evaluated our method against state-of-the-art approaches using the SemEval Task-9 dataset, a benchmark for suggestion mining. Our model shows promising performance, surpassing existing deep learning methods by 6.76% with an F1 score of 0.834 for SubTask A and 0.881 for SubTask B. Additionally, our paper presents an exhaustive literature review on suggestion mining from digital platforms, covering both traditional and state-of-the-art text classification techniques.
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- 2024
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8. Levofloxacin loaded chitosan and poly-lactic-co-glycolic acid nano-particles against resistant bacteria: Synthesis, characterization and antibacterial activity
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Rabia Hayee, Mehwish Iqtedar, Norah A. Albekairi, Abdulrahman Alshammari, Mauhammad Atif Makhdoom, Muhammad Islam, Nadeem Ahmed, Muhammad Fawad Rasool, Chen Li, and Hamid Saeed
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Bacterial resistance ,Levofloxacin ,Nano-particles ,Chitosan ,PLGA ,Infectious and parasitic diseases ,RC109-216 ,Public aspects of medicine ,RA1-1270 - Abstract
Background: With the global increase in antibacterial resistance, the challenge faced by developing countries is to utilize the available antibiotics, alone or in combination, against resistant bacterial strains. We aimed to encapsulate the levofloxacin (LVX) into polymeric nanoparticles using biodegradable polymers i.e. Chitosan and PLGA, estimating their physicochemical characteristics followed by functional assessment as nanocarriers of levofloxacin against the different resistant strains of bacteria isolated from biological samples collected from tertiary care hospital in Lahore, Pakistan. Methods: LVX-NPs were synthesized using ion gelation and double emulsion solvent-evaporation method employing chitosan (CS) and poly-lactic-co-glycolic acid (PLGA), characterized via FTIR, XRD, SEM, and invitro drug release studies, while antibacterial activity was assessed using Kirby-Bauer disc-diffusion method. Results: Data revealed that the levofloxacin-loaded chitosan nanoparticles showed entrapment efficiency of 57.14% ± 0.03 (CS-I), 77.30% ± 0.08(CS-II) and 87.47% ± 0.08 (CS-III). The drug content, particle size, and polydispersity index of CS-I were 52.22% ± 0.2, 559 nm ± 31 nm, and 0.030, respectively, whereas it was 66.86% ± 0.17, 595 nm ± 52.3 nm and 0.057, respectively for CS-II and 82.65% ± 0.36, 758 nm ± 24 nm and 0.1, respectively for CS-III. The PLGA-levofloxacin nanoparticles showed an entrapment efficiency of 42.80% ± 0.4 (PLGA I) and 23.80% ± 0.4 (PLGA II). The drug content, particle size and polydispersity index of PLGA-I were 86% ± 0.21, 92 nm ± 10 nm, and 0.058, respectively, whereas it was 52.41% ± 0.45, 313 nm ± 32 nm and 0.076, respectively for PLGA-II. The XRD patterns of both polymeric nanoparticles showed an amorphous nature. SEM analysis reflects the circular-shaped agglomerated nanoparticles with PLGA polymer and dense spherical nanoparticles with chitosan polymer. The in-vitro release profile of PLGA-I nanoparticles showed a sustained release of 82% in 120 h and it was 58.40% for CS-III. Both types of polymeric nanoparticles were found to be stable for up to 6 months without losing any major drug content. Among the selected formulations, CS-III and PLGA-I, CS-III had better antibacterial potency against gram+ve and gram-ve bacteria, except for K. pneumonia, yet, PLGA-I demonstrated efficacy against K. pneumonia as per CSLI guidelines. All formulations did not exhibit any signs of hemotoxicity, nonetheless, the CS-NPs tend to bind on the surface of RBCs. Conclusion: These data suggested that available antibiotics can effectively be utilized as nano-antibiotics against resistant bacterial strains, causing severe infections, for improved antibiotic sensitivity without compromising patient safety.
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- 2024
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9. Parents’ behaviour toward antibiotic self-medication in children and incidence of resistance: a cross-sectional study from Punjab, Pakistan
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Furqan K. Hashmi, Muhammad Muneeb, Sanaullah Umair, Bisma Mushtaq, Hamid Saeed, Muhammad Islam, Faiz Abid, Yumna Abrar, Bisma Shahzadi, Ayaz Ali Khan, Qadeer Ahsan, Muhammad Fawad Rasool, Usman Rashid Malik, Saad Ahmed, Hassaan Anwer Rathore, and Zikria Saleem
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child ,anti-bacterial agents ,self medication ,parents ,behavior. ,Medicine - Published
- 2024
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10. Correction: Health and economic benefits of achieving hepatitis C virus elimination in Pakistan: A modelling study and economic analysis
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Lim, Aaron G., Scott, Nick, Walker, Josephine G., Hamid, Saeed, Hellard, Margaret, and Vickerman, Peter
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Biological sciences - Abstract
Author(s): Aaron G. Lim, Nick Scott, Josephine G. Walker, Saeed Hamid, Margaret Hellard, Peter Vickerman The second sentence of the Acknowledgments is incomplete. The complete sentence reads: AGL, JW, and [...]
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- 2024
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11. Bonemarrow Fibrosis Grade; A Useful Prognostic Marker in Myeloproliferative Neoplasms
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Muhammad Bilal Asghar, Hamid Saeed Malik, Nabila Rafique, Manzar Bozdar, Rafia Mahmood, and Intzar Ali
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Myeloproliferative neoplasm, Marrow fibrosis, Prognostic factor. ,Medicine ,Medicine (General) ,R5-920 - Abstract
Objective: To determine the prognostic significance of bone marrow fibrosis grade in predicting the outcome of myeloproliferative neoplasms. Study Design: Prospective longitudinal study. Duration and Place of Study: Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Jun 2021 to May 2022. Methodology: A total of 114 patients with myeloproliferative neoplasms were included. Under aseptic conditions, a bone marrow aspiration and a Trephine biopsy were obtained. Following processing, the samples underwent staining with Hemotoxylin and Eosin and Reticulin. The WHO bone marrow fibrosis grading system was used to grade the fibrosis. Clinical findings and haematological parameters documented at initial diagnosis were compared with one-year interval follow-up counts. Results: Out of a total 114, 72(63.2%) were male and 42(36.8%) were female. Generalised weakness and pallor were documented in 51(44.7%) and 27(23.7%), respectively. While splenomegaly and/or hepatomegaly were detected in 61(53.5%) and 27(23.7%), respectively, 16(14.9%) transformed into other MPNs and 3(2.6%) into acute leukemia. People who had higher levels of MF-2 and MF-3 reticulin fibrosis had the worst prognosis when it came to peripheral blood cytopenias, disease progression, and transformation. Conclusion: Myeloproliferative neoplasms are very different from one another in terms of how they look and behave. As the grade of fibrosis rises, there is a high chance that the disease will progress to myelofibrosis or change into acute leukaemia, both of which are very bad for overall survival.
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- 2024
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12. A Hybrid Approach for Managing Low Tongue Posture in Open Bite Using a Composite Habit-Breaking Appliance
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Roy, Abhishek Singha, primary, Mandal, Samit, additional, Hamid, Saeed Bin, additional, and Rafiq, Shabir, additional
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- 2023
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13. Best practices for hepatitis C linkage to care in pregnant and postpartum women: perspectives from the Treatment In Pregnancy for Hepatitis C Community of Practice
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Gupta, Neil, Hiebert, Lindsey, Saseetharran, Ankeeta, Chappell, Catherine, El-Sayed, Manal H., Hamid, Saeed, Jhaveri, Ravi, Judd, Ali, Kushner, Tatyana, Badell, Martina, Biondi, Mia, Buresh, Megan, Prasad, Mona, Price, Jennifer C., and Ward, John W.
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- 2024
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14. TransLSTM: A hybrid LSTM-Transformer model for fine-grained suggestion mining
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Riaz, Samad, Saghir, Amna, Khan, Muhammad Junaid, Khan, Hassan, Khan, Hamid Saeed, and Khan, M. Jaleed
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- 2024
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15. Insight into the mechanism of digestibility inhibition by interaction between corn starch with different gelatinization degree and water extractable arabinoxylan
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Hong, Jing, Chen, Peixia, Liang, Xiaohui, Liu, Chong, Guan, Erqi, Omer, Saeed Hamid Saeed, and Zheng, Xueling
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- 2024
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16. HepFREEPak: protocol for a multi-centre, prospective observational study examining efficacy and impact of current therapies for the treatment of hepatitis C in Pakistan and reporting resistance to antiviral drugs: study protocol
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Arif, Ambreen, Hasnain, Aliya, Chaudhry, Auj, Asim, Muhammad, Shafqat, Muhammad Nabeel, Altaf, Abeer, Saba, Noor, Kemos, Polychronis, Ansari, M. Azim, Barnes, Eleanor, Metcalfe, Chris, Vickerman, Peter, Qureshi, Huma, Hamid, Saeed, Choudhry, Asad Ali, Niaz, Saad Khalid, Foster, Graham R., and Choudhry, Naheed
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- 2023
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17. Meplazumab in hospitalized adults with severe COVID-19 (DEFLECT): a multicenter, seamless phase 2/3, randomized, third-party double-blind clinical trial
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Bian, Huijie, Chen, Liang, Zheng, Zhao-Hui, Sun, Xiu-Xuan, Geng, Jie-Jie, Chen, Ruo, Wang, Ke, Yang, Xu, Chen, Shi-Rui, Chen, Si-Yu, Xie, Rong-Hua, Zhang, Kui, Miao, Jin-Lin, Jia, Jun-Feng, Tang, Hao, Liu, Shuang-Shuang, Shi, Hong-Wei, Yang, Yong, Chen, Xiao-Chun, Malhotra, Vinay, Nasir, Nosheen, Khanum, Iffat, Mahmood, Faisal, Hamid, Saeed, Stadnik, Claudio Marcel Berdun, Itinose, Kengi, de Oliveira, Caroline Cândida Carvalho, Dusilek, Cesar, Rivabem, Lucas, Cavalcante, Adilson Joaquim Westheimer, Lopes, Suzara Souto, Saporito, Wladmir Faustino, Fucci, Fábio José Concilio, Simon-Campos, Jesus Abraham, Wang, Ling, Liu, Lin-Na, Wang, Qing-Yi, Wei, Ding, Zhang, Zheng, Chen, Zhi-Nan, and Zhu, Ping
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- 2023
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18. HPLC profiling for the simultaneous estimation of antidiabetic compounds from Tradescantia pallida
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Fariha Imtiaz, Muhammad Islam, Hamid Saeed, Muhammad Ishaq, Usman Shareef, Muhammad Naeem Qaisar, Kalim Ullah, Sibghat Mansoor Rana, Anam Yasmeen, Aneeqa Saleem, and Romia Javaid Saddiqui
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Diabetes ,Phenolic compounds ,Phenols ,Tradescantia pallida ,HPLC ,Method development ,Chemistry ,QD1-999 - Abstract
Diabetes is a long-term metabolic disease epitomized by postprandial hyperglycemia. The prolonged use of synthetic drugs renders distinct side effects, necessitating the development of safe and cost-effective substitutes. The aim of the current study is to isolate, evaluate the antidiabetic potential and HPLC method development for simultaneous estimation of antidiabetic compounds from the leaves of Tradescantia pallida. The leaves were extracted, fractionated and subjected to column chromatography. The isolated compounds' antidiabetic potential was evaluated using α-amylase and glycosylation of hemoglobin assays. The study employed molecular docking to scrutinize interactions between antidiabetic compounds and human α-amylase and hemoglobin protein. Prime MM-GBSA calculations determined binding energies of ligand–protein complexes. Further analysis of morin and catechin involved exploring dynamic and thermodynamic constraints through molecular dynamics simulations under specific biological conditions. A rapid HPLC method was developed and validated for the simultaneous estimation of isolated compounds. The column chromatography culminated in the isolation of four antidiabetic compounds (syringic acid, catechin, p-coumaric acid and morin). The in vitro analyses revealed that morin and catechin exhibited 72.67 % and 78 % α-amylase inhibition and 67 % and 71.66 % inhibition of hemoglobin glycosylation, respectively. In silico studies substantiated the in vitro assay, confirming the stability of catechin and morin complexes via root mean square deviation analysis. Interactions, encompassing hydrophilic, hydrophobic, water bridges, and ionic interactions, identified key residues involved in these processes. The validated HPLC method exhibited excellent correlation coefficients ranged from 0.9909 to 0.9997. The antidiabetic compounds were quantified from the extract in the range of 0.072 – 0.160 µg/mL. The study concluded that the isolated compounds from Tradescantia pallida have remarkable antidiabetic activity, and the developed method can be successfully used for the identification and quantification of phenolic compounds in Tradescantia pallida and other plant-derived matrix.
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- 2024
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19. The anticancer potential of chemical constituents of Moringa oleifera targeting CDK-2 inhibition in estrogen receptor positive breast cancer using in-silico and in vitro approches
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Rida Sultan, Abrar Ahmed, Li Wei, Hamid Saeed, Muhammad Islam, and Muhammad Ishaq
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CDK2 ,ER+ Breast cancer ,Molecular Docking ,MM-GBSA ,Molecular Dynamic Simulations ,MTT assay ,Other systems of medicine ,RZ201-999 - Abstract
Abstract Most of the breast cancers are estrogen receptor-positive recurring with a steady rate of up to 20 years dysregulating the normal cell cycle. Dinaciclib is still in clinical trials and considered as a research drug against such cancers targeting CDK2. The major goal of this study was to identify the potential inhibitors of CDK-2 present in Moringa oleifera for treating hormonal receptor positive breast cancers. For this purpose, in silico techniques; molecular docking, MM-GBSA and molecular dynamics simulations were employed to screen Moringa oleifera compounds and their anticancer potential was determined against CDK-2 protein targets. Among 36 compounds of Moringa oleifera reported in literature, chlorogenic acid (1), quercetin (2), ellagic acid (3), niazirin (4), and kaempferol (5) showed good affinity with the target. The interaction of the compounds was visualized using PYMOL software. The profiles of absorption, distribution, metabolism, excretion (ADME) and toxicity were determined using SWISS and ProTox II webservers. The MTT assay was performed in-vitro using MCF-7 cancer cell lines to validate the anticancer potential of Moringa oleifera leaf extract. MTT assay results revealed no significant change in proliferation of Mcf-7 cells following 24 h treatment with fraction A (petroleum ether). However, significant antiproliferative effect was observed at 200 µg/mL dose of fraction B (ethyl acetate) and cell viability was reduced to 40%. In conclusion, the data suggested that all the compounds with highest negative docking score than the reference could be the potential candidates for cyclin dependent kinase-2 (CDK-2) inhibition while ellagic acid, chlorogenic acid and quercetin being the most stable and potent inhibitors to treat estrogen receptor positive breast cancer targeting CDK-2. Moreover, the data suggested that further investigation is required to determine the optimum dose for significant antiproliferative effects using in-vivo models to validate our findings of in-silico analysis.
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- 2023
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20. An international multidisciplinary consensus statement on MAFLD and the risk of CVD
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Zhou, Xiao-Dong, Targher, Giovanni, Byrne, Christopher D., Somers, Virend, Kim, Seung Up, Chahal, C. Anwar A., Wong, Vincent Wai-Sun, Cai, Jingjing, Shapiro, Michael D., Eslam, Mohammed, Steg, Philippe Gabriel, Sung, Ki-Chul, Misra, Anoop, Li, Jian-Jun, Brotons, Carlos, Huang, Yuli, Papatheodoridis, George V., Sun, Aijun, Yilmaz, Yusuf, Chan, Wah Kheong, Huang, Hui, Méndez-Sánchez, Nahum, Alqahtani, Saleh A., Cortez-Pinto, Helena, Lip, Gregory Y. H., de Knegt, Robert J., Ocama, Ponsiano, Romero-Gomez, Manuel, Fudim, Marat, Sebastiani, Giada, Son, Jang Won, Ryan, John D., Ikonomidis, Ignatios, Treeprasertsuk, Sombat, Pastori, Daniele, Lupsor-Platon, Monica, Tilg, Herbert, Ghazinyan, Hasmik, Boursier, Jerome, Hamaguchi, Masahide, Nguyen, Mindie H., Fan, Jian-Gao, Goh, George Boon-Bee, Al Mahtab, Mamun, Hamid, Saeed, Perera, Nilanka, George, Jacob, and Zheng, Ming-Hua
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- 2023
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21. Identifying the early predictors of non-response to steroids in patients with flare of autoimmune hepatitis causing acute-on-chronic liver failure
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Sharma, Sanchit, Agarwal, Samagra, Saraya, Anoop, Choudhury, Ashok Kumar, Saigal, Sanjiv, Soin, A. S., Shukla, Akash, Sahu, Manoj K., Lesmana, Laurentius A., Lesmana, Renaldi C., Shah, Samir N., Hu, Jinhua, Tan, Soek Siam, Jothimani, Dinesh, Rela, Mohammed, Ghazinyan, Hasmik L., Amrapurkar, D. N., Eapen, C. E., Goel, Ashish, Payawal, Diana Alcantra, Hamid, Saeed, Butt, Amna S., Zhongping, Duan, Singh, Virender, Duseja, Ajay, Sood, Ajit, Midha, Vandana, Al Mahtab, Mamun, Kim, Dong Joon, Ning, Qin, Kulkarni, Anand V., Rao, P. N., Lee, Guan Huei, Treeprasertsuk, Sombat, Shaojie, Xin, Karim, Md. Fazal, Sollano, Jose D., Kalista, Kemal Fariz, Gani, Rino Alvani, Prasad, V. G. Mohan, and Sarin, Shiv Kumar
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- 2023
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22. AARC score determines outcomes in patients with alcohol-associated hepatitis: a multinational study
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Maiwall, Rakhi, Pasupuleti, Samba Siva Rao, Choudhury, Ashok, kim, Dong Joon, Sood, Ajit, Goyal, Omesh, Midha, Vandana, Devarbhavi, Harshad, Arora, Anil, Kumar, Ashish, Sahu, Manoj Kumar, Maharshi, Sudhir, Duseja, Ajay Kumar, Singh, Virendra, Taneja, Sunil, Rao, P. N., Kulkarni, Anand, Ghazinian, Hasmik, Hamid, Saeed, Eapen, C. E., Goel, Ashish, Shreshtha, Ananta, Shah, Samir, Hu, Jinhua, Prasad, V. G. Mohan, Yuemin, Nan, Shaojie, Xin, Dhiman, R. K., Chen, Tao, Ning, Qin, Panackel, Charles, Niriella, Madunil A., Lama, Thupten Kelsang, Tan, Soek-Siam, Dokmeci, A. Kadir, Shukla, Akash, Sharma, Manoj Kumar, and Sarin, Shiv Kumar
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- 2023
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23. Progress towards elimination of viral hepatitis: a Lancet Gastroenterology & Hepatology Commission update
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Cooke, Graham S, Flower, Barnaby, Cunningham, Evan, Marshall, Alison D, Lazarus, Jeffrey V, Palayew, Adam, Jia, Jidong, Aggarwal, Rakesh, Al-Mahtab, Mamum, Tanaka, Yashuito, Jeong, Sook-Hyang, Poovorawan, Kittiyod, Waked, Imam, Hiebert, Lindsey, Khue, Pham M, Grebely, Jason, Alcantara-Payawal, Diana, Sanchez-Avila, Juan F, Mbendi, Charles, Muljono, David H, Lesi, Olufunmilayo, Desalegn, Hailemichael, Hamid, Saeed, de Araujo, Alexandre, Cheinquer, Hugo, Onyekwere, Charles A, Malyuta, Ruslan, Ivanchuk, Iryna, Thomas, David L, Pimenov, Nikolay, Chulanov, Vladimir, Dirac, Mae Ashworth, Han, Hannah, and Ward, John W
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- 2024
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24. Synthesis, characterization, pharmacological and computational evaluation of hyaluronic acid modified chebulinic acid encapsulated chitosan nanocomposite for cancer therapy
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Shah, Hamid Saeed, Zaib, Sumera, Usman, Faisal, Sarfraz, Muhammad, Faiz, Rabia, Rehman, Saira Abdul, Khan, Azmat Ali, Alanazi, Amer M., Khan, Riffat, Nasrullah, Usman, and Nazir, Imran
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- 2024
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25. A Comprehensive Physiologically Based Pharmacokinetic Model for Predicting Vildagliptin Pharmacokinetics: Insights into Dosing in Renal Impairment
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Mahnoor Pasha, Ammara Zamir, Muhammad Fawad Rasool, Hamid Saeed, Tanveer Ahmad, Nawaf Shalih Alqahtani, Lamya Saif Alqahtani, and Faleh Alqahtani
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vildagliptin ,type 2 diabetes ,physiologically based pharmacokinetic model ,chronic kidney disease ,Medicine ,Pharmacy and materia medica ,RS1-441 - Abstract
Physiologically based pharmacokinetic (PBPK) modeling is of great importance in the field of medicine. This study aims to construct a PBPK model, which can provide reliable drug pharmacokinetic (PK) predictions in both healthy and chronic kidney disease (CKD) subjects. To do so, firstly a review of the literature was thoroughly conducted and the PK information of vildagliptin was collected. PBPK modeling software, PK-Sim®, was then used to build and assess the IV, oral, and drug-specific models. Next, the average fold error, visual predictive checks, and predicted/observed ratios were used for the assessment of the robustness of the model for all the essential PK parameters. This evaluation demonstrated that all PK parameters were within an acceptable limit of error, i.e., 2 fold. Also to display the influence of CKD on the total and unbound AUC (the area under the plasma concentration–time curve) and to make modifications in dose, the analysis results of the model on this aspect were further examined. This PBPK model has successfully depicted the variations of PK of vildagliptin in healthy subjects and patients with CKD, which can be useful for medical practitioners in dosage optimization in renal disease patients.
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- 2024
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26. Fabrication and evaluation of anticancer potential of diosgenin incorporated chitosan-silver nanoparticles; in vitro, in silico and in vivo studies
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Zaib, Sumera, Shah, Hamid Saeed, Khan, Imtiaz, Jawad, Zobia, Sarfraz, Muhammad, Riaz, Huma, Asjad, Hafiz Muhammad Mazhar, Ishtiaq, Memoona, Ogaly, Hanan A., Othman, Gehan, and Ahmed, Dalia Abd El Moneim
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- 2024
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27. Preparation and investigation of a novel combination of Solanum nigrum-loaded, arabinoxylan-cross-linked β-cyclodextrin nanosponges for the treatment of cancer: in vitro, in vivo, and in silico evaluation
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Hamid Saeed Shah, Sumera Zaib, Imtiaz Khan, Mahmoud A. Sliem, Osama Alharbi, Mohammed Al-Ghorbani, Zobia Jawad, Kiran Shahzadi, and Sajjad Awan
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β-cyclodextrin ,cancer ,flow cytometry ,nanosponges ,Solanum nigrum ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Introduction: Cancer contributes to a high mortality rate worldwide spanning its diversity from genetics to resistant therapeutic response. To date emerging strategies to combat and manage cancer are particularly focused on the development of targeted therapies as conventional treatments account for the destruction of normal cells as well. In this regard, medicinal plant-based therapies are quite promising in imposing minimal side effects; however, limitations like poor bioavailability and stability of bioactive phytochemicals are associated with them. In parallel, nanotechnology provides nominal solution to deliver particular therapeutic agent without compromising its stability.Methods: In this study, Solanum nigrum, an effective medicinal plant, loaded arabinoxylan cross-linked β-cyclodextrin nanosponges (SN-AXCDNS) were designed to evaluate antitumor activity against breast cancer. Therefore, SN-AXCDNS were prepared by using cross-linker melt method and characterized by physicochemical and pharmacological parameters.Results: Hydrodynamic size, zeta potential and entrapment efficiency (EE%) were estimated as 226 ± 4 nm, −29.15 ± 5.71 mV and 93%, respectively. Surface morphology of nanocomposites showed spherical, smooth, and porous form. Antitumor pharmacological characterization showed that SN loaded nanosponge demonstrated higher cytotoxicity (22.67 ± 6.11 μg/mL), by inducing DNA damage as compared to void SN extract. Flow cytometry analysis reported that encapsulated extract promoted cell cycle arrest at sub-G1 (9.51%). Moreover, in vivo analysis demonstrates the reduction in tumor weight and 85% survival chances in nanosponge treated mice featuring its effectiveness. In addition, in silico analysis revealed that β-cyclodextrin potentially inhibits MELK in breast cancer cell lines (B.E = −10.1 Kcal/mol).Conclusion: Therefore, findings of current study elucidated the therapeutic potential of β-cyclodextrin based nanosponges to be an alternative approach regarding the delivery and solubilization of antitumor drugs.
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- 2023
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28. Determinants of anxiety and depression among university teachers during third wave of COVID-19
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Hamid Saeed, Amna Fakhar Qureshi, Muhammad Fawad Rasool, Muhammad Islam, Furqan Khurshid Hashmi, Amna Saeed, Rimsha Asad, Arfa Arshad, and Azba Abid Qureshi
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Professors ,Pakistan ,DASS-21 ,Anxiety ,Depression ,COVID-19 ,Psychiatry ,RC435-571 - Abstract
Abstract Background To estimate the determinants of anxiety and depression among university teachers in Lahore, Pakistan, during COVID-19. Methods A cross-sectional study was conducted by enrolling 668 teachers from the universities of Lahore, Pakistan. Data were collected using a questionnaire. Chi-square for significance and logistic regression for the association were used. Results Majorly, the university teachers, with an average age of 35.29 years, had regular jobs (72.8%), job experience of > 6 years (51.2%) and good self-reported health (55.4%). The majority of the teachers were working as lecturers (59.6%), lecturing in arts (33.5%) or general science (42.5%) departments, having MPhil (37.9%) or master (28.9%) degrees, and teaching via synchronous video (59.3%) mode. Anxiety and depression, severe and extremely severe, were higher among lecturers, MPhil or master degree holders, teachers lecturing arts and general science subjects, and in those on contract employment. Anxiety was significantly associated with academic departments; arts (OR;2.5, p = 0.001) and general science (OR;2.9, p = 0.001), poor health status (OR;4.4, p = 0.018), and contractual employment (OR;1.8, p = 0.003). Depression was associated with academic departments; arts (OR;2.7, p = 0.001) and general science (OR;2.5, p = 0.001), and health status (OR;2.3, p = 0.001). Conclusion Among university teachers, anxiety and depression, severe and extremely severe, were prevalent among lecturers having MPhil or master degrees, belonging to arts and general science departments, and among contract employees. Anxiety and depression were significantly associated with academic disciplines, lower cadre, and poor health status.
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- 2023
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29. Global prevalence, cascade of care, and prophylaxis coverage of hepatitis B in 2022: a modelling study
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Razavi-Shearer, Devin, Gamkrelidze, Ivane, Pan, Calvin, Jia, Jidong, Berg, Thomas, Gray, Richard, Lim, Young-Suk, Chen, Chien-Jen, Ocama, Ponsiano, Desalegn, Hailemichael, Abbas, Zaigham, Abdallah, Ayat, Aghemo, Alessio, Ahmadbekova, Sabohat, Ahn, Sang Hoon, Aho, Inka, Akarca, Ulus, Al Masri, Nasser, Alalwan, Abduljaleel, Alavian, Seyed, Al-Busafi, Said, Aleman, Soo, Alfaleh, Faleh, Alghamdi, Abdullah, Al-Hamoudi, Waleed, Aljumah, Abdulrahman, Al-Naamani, Khalid, Al-Rifai, Ahmad, Alserkal, Yousif, Altraif, Ibrahim, Amarsanaa, Jazag, Anderson, Motswedi, Andersson, Monique, Armstrong, Paige, Asselah, Tarik, Athanasakis, Kostas, Baatarkhuu, Oidov, Ben-Ari, Ziv, Bensalem, Aicha, Bessone, Fernando, Biondi, Mia, Bizri, Abdul Rahman, Blach, Sarah, Braga, Wornei, Brandão-Mello, Carlos, Brosgart, Carol, Brown, Kimberly, Brown, Jr, Robert, Bruggmann, Philip, Brunetto, Maurizia, Buti, Maria, Cabezas, Joaquin, Casanovas, Teresa, Chae, Chungman, Chan, Henry Lik Yuen, Cheinquer, Hugo, Chen, Pei-Jer, Cheng, Kent Jason, Cheon, Myeong-Eun, Chien, Cheng-Hung, Choudhuri, Gourdas, Christensen, Peer Brehm, Chuang, Wan-Long, Chulanov, Vladimir, Cisneros, Laura, Coffin, Carla, Contreras, Fernando, Coppola, Nicola, Cornberg, Markus, Cowie, Benjamin, Cramp, Matthew, Craxi, Antonio, Crespo, Javier, Cui, Fuqiang, Cunningham, Chris, Dalgard, Olav, De Knegt, Robert, De Ledinghen, Victor, Dore, Gregory, Drazilova, Sylvia, Duberg, Ann-Sofi, Egeonu, Steve, Elbadri, Mohammed, El-Kassas, Mohamed, El-Sayed, Manal, Estes, Chris, Etzion, Ohad, Farag, Elmobashar, Ferradini, Laurent, Ferreira, Paulo, Flisiak, Robert, Forns, Xavier, Frankova, Sona, Fung, James, Gane, Edward, Garcia, Virginia, García-Samaniego, Javier, Gemilyan, Manik, Genov, Jordan, Gheorghe, Liliana, Gholam, Pierre, Gish, Robert, Goleij, Pouya, Gottfredsson, Magnus, Grebely, Jason, Gschwantler, Michael, Guingane, Nanelin Alice, Hajarizadeh, Behzad, Hamid, Saeed, Hamoudi, Waseem, Harris, Aaron, Hasan, Irsan, Hatzakis, Angelos, Hellard, Margaret, Hercun, Julian, Hernandez, Javier, Hockicková, Ivana, Hsu, Yao-Chun, Hu, Ching-Chih, Husa, Petr, Janicko, Martin, Janjua, Naveed, Jarcuska, Peter, Jaroszewicz, Jerzy, Jelev, Deian, Jeruma, Agita, Johannessen, Asgeir, Kåberg, Martin, Kaita, Kelly, Kaliaskarova, Kulpash, Kao, Jia-Horng, Kelly-Hanku, Angela, Khamis, Faryal, Khan, Aamir, Kheir, Omer, Khoudri, Ibtissam, Kondili, Loreta, Konysbekova, Aliya, Kristian, Pavol, Kwon, Jisoo, Lagging, Martin, Laleman, Wim, Lampertico, Pietro, Lavanchy, Daniel, Lázaro, Pablo, Lazarus, Jeffrey V, Lee, Alice, Lee, Mei-Hsuan, Liakina, Valentina, Lukšić, Boris, Malekzadeh, Reza, Malu, Abraham, Marinho, Rui, Mendes-Correa, Maria Cássia, Merat, Shahin, Meshesha, Berhane Redae, Midgard, Håvard, Mohamed, Rosmawati, Mokhbat, Jacques, Mooneyhan, Ellen, Moreno, Christophe, Mortgat, Laure, Müllhaupt, Beat, Musabaev, Erkin, Muyldermans, Gaëtan, Naveira, Marcelo, Negro, Francesco, Nersesov, Alexander, Nguyen, Van Thi Thuy, Ning, Qing, Njouom, Richard, Ntagirabiri, Rénovat, Nurmatov, Zuridin, Oguche, Stephen, Omuemu, Casimir, Ong, Janus, Opare-Sem, Ohene, Örmeci, Necati, Orrego, Mauricio, Osiowy, Carla, Papatheodoridis, George, Peck-Radosavljevic, Markus, Pessoa, Mário, Pham, Trang, Phillips, Richard, Pimenov, Nikolay, Pincay-Rodríguez, Loreley, Plaseska-Karanfilska, Dijana, Pop, Cora, Poustchi, Hossein, Prabdial-Sing, Nishi, Qureshi, Huma, Ramji, Alnoor, Rautiainen, Henna, Razavi-Shearer, Kathryn, Remak, William, Ribeiro, Sofia, Ridruejo, Ezequiel, Ríos-Hincapié, Cielo, Robalino, Marcia, Roberts, Lewis, Roberts, Stuart, Rodríguez, Manuel, Roulot, Dominique, Rwegasha, John, Ryder, Stephen, Sadirova, Shakhlo, Saeed, Umar, Safadi, Rifaat, Sagalova, Olga, Said, Sanaa, Salupere, Riina, Sanai, Faisal, Sanchez-Avila, Juan F, Saraswat, Vivek, Sargsyants, Narina, Sarrazin, Christoph, Sarybayeva, Gulya, Schréter, Ivan, Seguin-Devaux, Carole, Seto, Wai-Kay, Shah, Samir, Sharara, Ala, Sheikh, Mahdi, Shouval, Daniel, Sievert, William, Simojoki, Kaarlo, Simonova, Marieta, Sinn, Dong Hyun, Sonderup, Mark, Sonneveld, Milan, Spearman, C Wendy, Sperl, Jan, Stauber, Rudolf, Stedman, Catherine, Sypsa, Vana, Tacke, Frank, Tan, Soek-Siam, Tanaka, Junko, Tergast, Tammo, Terrault, Norah, Thompson, Alexander, Thompson, Peyton, Tolmane, Ieva, Tomasiewicz, Krzysztof, Tsang, Tak-Yin, Uzochukwu, Benjamin, Van Welzen, Berend, Vanwolleghem, Thomas, Vince, Adriana, Voeller, Alexis, Waheed, Yasir, Waked, Imam, Wallace, Jack, Wang, Cong, Weis, Nina, Wong, Grace, Wong, Vincent, Wu, Jaw-Ching, Yaghi, Cesar, Yesmembetov, Kakharman, Yip, Terry, Yosry, Ayman, Yu, Ming-Lung, Yuen, Man-Fung, Yurdaydin, Cihan, Zeuzem, Stefan, Zuckerman, Eli, and Razavi, Homie
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- 2023
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30. Hepatitis D virus infection: Pathophysiology, epidemiology and treatment. Report from the first international delta cure meeting 2022
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Yurdaydin, Cihan, Roulot, Dominique, Zoulim, Fabien, Caruntu, Florin Alexandru, Wedemeyer, Heiner, Kefalakes, Helenie, Lucifora, Julie, Agarwal, Kosh, Castera, Laurent, Buti, Maria, Rizzetto, Mario, Cornberg, Markus, Dandri, Maura, Brunetto, Maurizia, Reau, Nancy, Gish, Robert, Hamid, Saeed, Aleman, Soo, Urban, Stephan, Asselah, Tarik, Berg, Thomas, de Lédinghen, Victor, Lampertico, Pietro, Degasperi, Elisabetta, and Sandmann, Lisa
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- 2023
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31. A global research priority agenda to advance public health responses to fatty liver disease
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Lazarus, Jeffrey V., Mark, Henry E., Allen, Alina M., Arab, Juan Pablo, Carrieri, Patrizia, Noureddin, Mazen, Alazawi, William, Alkhouri, Naim, Alqahtani, Saleh A., Arrese, Marco, Bataller, Ramon, Berg, Thomas, Brennan, Paul N., Burra, Patrizia, Castro-Narro, Graciela E., Cortez-Pinto, Helena, Cusi, Kenneth, Dedes, Nikos, Duseja, Ajay, Francque, Sven M., Hagström, Hannes, Huang, Terry T-K., Wajcman, Dana Ivancovsky, Kautz, Achim, Kopka, Christopher J., Krag, Aleksander, Miller, Veronica, Newsome, Philip N., Rinella, Mary E., Romero, Diana, Sarin, Shiv Kumar, Silva, Marcelo, Spearman, C. Wendy, Tsochatzis, Emmanuel A., Valenti, Luca, Villota-Rivas, Marcela, Zelber-Sagi, Shira, Schattenberg, Jörn M., Wong, Vincent Wai-Sun, Younossi, Zobair M., Aberg, Fredrik, Adams, Leon, Al-Naamani, Khalid, Albadawy, Reda M., Alexa, Zinaida, Allison, Michael, Alnaser, Faisal A., Alswat, Khalid, Alvares-da-Silva, Mario Reis, Alvaro, Domenico, Alves-Bezerra, Michele, Andrade, Raul J., Anstee, Quentin M., Awuku, Yaw Asante, Baatarkhuu, Oidov, Baffy, Gyorgy, Bakieva, Shokhista, Bansal, Meena B., Barouki, Robert, Batterham, Rachel L., Behling, Cynthia, Belfort-DeAguiar, Renata, Berzigotti, Annalisa, Betel, Michael, Bianco, Cristiana, Bosi, Emanuele, Boursier, Jerome, Brunt, Elizabeth M., Bugianesi, Elisabetta, Byrne, Christopher J., Cabrera Cabrejos, Maria Cecilia, Caldwell, Stephen, Carr, Rotonya, Castellanos Fernández, Marlen Ivón, Castera, Laurent, Castillo-López, Maria Gabriela, Caussy, Cyrielle, Cerda-Reyes, Eira, Ceriello, Antonio, Chan, Wah- Kheong, Chang, Yoosoo, Charatcharoenwitthaya, Phunchai, Chavez-Tapia, Norberto, Chung, Raymond T., Colombo, Massimo, Coppell, Kirsten, Cotrim, Helma P., Craxi, Antonio, Crespo, Javier, Dassanayake, Anuradha, Davidson, Nicholas O., De Knegt, Robert, de Ledinghen, Victor, Demir, Münevver, Desalegn, Hailemichael, Diago, Moises, Dillon, John F., Dimmig, Bruce, Dirac, M. Ashworth, Dirchwolf, Melisa, Dufour, Jean-François, Dvorak, Karel, Ekstedt, Mattias, El-Kassas, Mohamed, Elsanousi, Osama M., Elsharkawy, Ahmed M., Elwakil, Reda, Eskridge, Wayne, Eslam, Mohammed, Esmat, Gamal, Fan, Jian- Gao, Ferraz, Maria Lucia, Flisiak, Robert, Fortin, Davide, Fouad, Yasser, Freidman, Scott L., Fuchs, Michael, Gadano, Adrian, Gastaldelli, Amalia, Geerts, Anja, Geier, Andreas, George, Jacob, Gerber, Lynn H., Ghazinyan, Hasmik, Gheorghe, Liana, Kile, Denise Giangola, Girala, Marcos, Boon Bee, George Goh, Goossens, Nicolas, Graupera, Isabel, Grønbæk, Henning, Hamid, Saeed, Hebditch, Vanessa, Henry, Zachary, Hickman, Ingrid J., Hobbs, L. Ansley, Hocking, Samantha L., Hofmann, Wolf Peter, Idilman, Ramazan, Iruzubieta, Paula, Isaacs, Scott, Isakov, Vasily A., Ismail, Mona H., Jamal, Mohammad H., Jarvis, Helen, Jepsen, Peter, Jornayvaz, François, Sudhamshu, K.C., Kakizaki, Satoru, Karpen, Saul, Kawaguchi, Takumi, Keating, Shelley E., Khader, Yousef, Kim, Seung Up, Kim, Won, Kleiner, David E., Koek, Ger, Joseph Komas, Narcisse Patrice, Kondili, Loreta A., Koot, Bart G., Korenjak, Marko, Kotsiliti, Eleni, Koulla, Yiannoula, Kugelmas, Carina, Kugelmas, Marcelo, Labidi, Asma, Lange, Naomi F., Lavine, Joel E., Lazo, Mariana, Leite, Nathalie, Lin, Han-Chieh, Lkhagvaa, Undram, Long, Michelle T., Lopez-Jaramillo, Patricio, Lozano, Adelina, Macedo, Maria Paula, Malekzadeh, Reza, Marchesini, Giulio, Marciano, Sebastian, Martinez, Kim, Martínez Vázquez, Sophia E., Mateva, Lyudmila, Mato, José M., Nlombi, Charles Mbendi, McCary, Alexis Gorden, McIntyre, Jeff, McKee, Martin, Mendive, Juan M., Mikolasevic, Ivana, Miller, Pamela S., Milovanovic, Tamara, Milton, Terri, Moreno-Alcantar, Rosalba, Morgan, Timothy R., Motala, Ayesha, Muris, Jean, Musso, Carla, Nava-González, Edna J., Negro, Francesco, Nersesov, Alexander V., Neuschwander-Tetri, Brent A., Nikolova, Dafina, Norris, Suzanne, Novak, Katja, Ocama, Ponsiano, Ong, Janus P., Ong-Go, Arlinking, Onyekwere, Charles, Padilla, Martin, Pais, Raluca, Pan, Calvin, Panduro, Arturo, Panigrahi, Manas K., Papatheodoridis, Georgios, Paruk, Imran, Patel, Keyur, Gonçalves, Carlos Penha, Figueroa, Marlene Pérez, Pérez-Escobar, Juanita, Pericàs, Juan M., Perseghin, Gianluca, Pessoa, Mário Guimarães, Petta, Salvatore, Marques Souza de Oliveira, Claudia Pinto, Prabhakaran, Dorairaj, Pyrsopoulous, Nikolaos, Rabiee, Atoosa, Ramji, Alnoor, Ratziu, Vlad, Ravendhran, Natarajan, Ray, Katrina, Roden, Michael, Romeo, Stefano, Romero-Gómez, Manuel, Rotman, Yaron, Rouabhia, Samir, Rowe, Ian A., Sadirova, Shakhlo, Alkhatry, Maryam Salem, Salupere, Riina, Satapathy, Sanjaya K., Schwimmer, Jeffrey B., Sebastiani, Giada, Seim, Lynn, Seki, Yosuke, Serme, Abdel Karim, Shapiro, David, Sharvadze, Lali, Shaw, Jonathan E., Shawa, Isaac Thom, Shenoy, Thrivikrama, Shibolet, Oren, Shimakawa, Yusuke, Shubrook, Jay H., Singh, Shivaram Prasad, Sinkala, Edford, Skladany, Lubomir, Skrypnyk, Igor, Song, Myeong Jun, Sookoian, Silvia, Sridharan, Kannan, Stefan, Norbert, Stine, Jonathan G., Stratakis, Nikolaos, Sheriff, Dhastagir Sultan, Sundaram, Shikha S., Svegliati-Baroni, Gianluca, Swain, Mark G., Tacke, Frank, Taheri, Shahrad, Tan, Soek-Siam, Tapper, Elliot B., Targher, Giovanni, Tcaciuc, Eugen, Thiele, Maja, Tiniakos, Dina, Tolmane, Ieva, Torre, Aldo, Torres, Esther A., Treeprasertsuk, Sombat, Trenell, Michael, Turcan, Svetlana, Turcanu, Adela, Valantinas, Jonas, van Kleef, Laurens A., Velarde Ruiz Velasco, Jose Antonio, Vesterhus, Mette, Vilar-Gomez, Eduardo, Waked, Imam, Wattacheril, Julia, Wedemeyer, Heiner, Wilkins, Fonda, Willemse, José, Wong, Robert J., Yilmaz, Yusuf, Yki-Järvinen, Hannele, Yu, Ming-Lung, Yumuk, Volkan, Zeybel, Müjdat, Zheng, Kenneth I., Zheng, Ming-Hua, and Huang, Terry T.-K.
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- 2023
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32. Enhancing interventions for prevention of mother-to-child- transmission of hepatitis B virus
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Matthews, Philippa C., Ocama, Ponsiano, Wang, Su, El-Sayed, Manal, Turkova, Anna, Ford, Deborah, Torimiro, Judith, Garcia Ferreira, Ana Cristina, Espinosa Miranda, Angélica, De La Hoz Restrepo, Fernando Pio, Seremba, Emmanuel, Mbu, Robinson, Pan, Calvin Q., Razavi, Homie, Dusheiko, Geoffrey, Spearman, C. Wendy, and Hamid, Saeed
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- 2023
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33. Fabrication and Evaluation of Anticancer Potential of Eugenol Incorporated Chitosan-Silver Nanocomposites: In Vitro, In Vivo, and InSilico Studies
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Shah, Hamid Saeed, Zaib, Sumera, Sarfraz, Muhammad, Alhadhrami, A., Ibrahim, Mohamed M., Mushtaq, Aamir, Usman, Faisal, Ishtiaq, Memoona, Sajjad, Muhammad, Asjad, Hafiz Muhammad Mazhar, and Gohar, Umar Farooq
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- 2023
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34. Application of a physiologically based pharmacokinetic model in predicting captopril disposition in children with chronic kidney disease
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Sundus Khalid, Muhammad Fawad Rasool, Imran Masood, Imran Imran, Hamid Saeed, Tanveer Ahmad, Nawaf Shalih Alqahtani, Fahad Ali Alshammari, and Faleh Alqahtani
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Medicine ,Science - Abstract
Abstract Over the last several decades, angiotensin-converting enzyme inhibitors (ACEIs) have been a staple in the treatment of hypertension and renovascular disorders in children. One of the ACEIs, captopril, is projected to have all the benefits of traditional vasodilators. However, conducting clinical trials for determining the pharmacokinetics (PK) of a drug is challenging, particularly in pediatrics. As a result, modeling and simulation methods have been developed to identify the safe and effective dosages of drugs. The physiologically based pharmacokinetic (PBPK) modeling is a well-established method that permits extrapolation from adult to juvenile populations. By using SIMCYP simulator, as a modeling platform, a previously developed PBPK drug-disease model of captopril was scaled to renally impaired pediatrics population for predicting captopril PK. The visual predictive checks, predicted/observed ratios (ratiopred/obs), and the average fold error of PK parameters were used for model evaluation. The model predictions were comparable with the reported PK data of captopril in mild and severe chronic kidney disease (CKD) patients, as the mean ratiopred/obs Cmax and AUC0−t were 1.44 (95% CI 1.07 − 1.80) and 1.26 (95% CI 0.93 − 1.59), respectively. The successfully developed captopril-CKD pediatric model can be used in suggesting drug dosing in children diagnosed with different stages of CKD.
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- 2023
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35. Nonalcoholic Fatty Liver Disease in Asia, Africa, and Middle East Region
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Ong, Janus, Alswat, Khalid, Hamid, Saeed, and El-Kassas, Mohamed
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- 2023
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36. INASL–SAASL Consensus Statements on NAFLD Name Change to MAFLD
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Singh, Shivaram P., Duseja, Ajay, Mahtab, Mamun al, Anirvan, Prajna, Acharya, Subrat K., Akbar, Sheikh Mohammad Fazle, Butt, Amna S., Dassanayake, Anuradha, De, Arka, Dhakal, G.P., Hamid, Saeed, Madan, Kaushal, Panigrahi, Manas K., Rao, P.N., Saigal, Sanjiv, Satapathy, Sanjaya K., Shalimar, Shrestha, Ananta, Shukla, Akash, Sudhamshu, K.C., and Wijewantha, Hasitha
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- 2023
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37. Acute variceal bleeding portends poor outcomes in patients with acute-on-chronic liver failure: a propensity score matched study from the APASL ACLF Research Consortium (AARC)
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Sharma, Sanchit, Agarwal, Samagra, Saraya, Anoop, Choudhury, Ashok, Mahtab, Mamun Al, Alam, Mohd. Shahinul, Saigal, Sanjiv, Kim, Dong Joon, Eapen, C. E., Goel, Ashish, Ning, Qin, Devarbhavi, Harshad, Singh, Virendra, Shukla, Akash, Hamid, Saeed, Hu, Jinhua, Tan, Soek-Siam, Arora, Anil, Sahu, Manoj Kumar, Rela, Mohd., Jothimani, Dinesh, Rao, P. N., Kulkarni, Anand, Ghaznian, Hashmik, Lee, Guan Huei, Zhongping, Duan, Sood, Ajit, Goyal, Omesh, Lesmana, Laurentius A., Lesmana, Rinaldi C., Treeprasertsuk, Sombat, Yuemin, Nan, Shah, Samir, Tao, Han, Dayal, V. M., Shaojie, Xin, Karim, Fazal, Abbas, Zaigham, Sollano, Jose D., Kalista, Kemal Fariz, Shreshtha, Ananta, Payawal, Diana, Omata, Masao, and Sarin, Shiv Kumar
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- 2022
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38. 17p Deletion in Patients with De Novo Acute Myeloid Leukemia and their Clinico-Haematologic Features
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Saniya Jalil, Helen Mary Robert, Hamid Saeed Malik, Asad Mehmood Abbasi, Sarah Fatima, and Hina Niaz
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Acute Myeloid Leukemia ,Clinico-haematologic features ,del17p ,Fluorescence in situ hybridization ,Medicine ,Medicine (General) ,R5-920 - Abstract
Objective: To determine the frequency of 17p deletion in patients with Acute Myeloid Leukemia and their clinical-hematologic features using fluorescence in situ hybridization. Study Design: Cross-sectional study. Place & Duration of Study: Department of Hematology, Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Dec 2018 to Dec 2019. Methodology: All diagnosed cases of Acute Myeloid Leukemia of all ages and genders were included. Interphase FISH testing was performed using blood or bone marrow specimens using 10μL of the Meta systems XL p53 probe, and a total of 500 nuclei per assay were analyzed using a fluorescent microscope. Del 17p positivity and negativity were noted. Clinico-haematologic features of the patients with and without del 17p were also noted. Results: In our targeted population of 84 patients, there were 25(29.8%) females and 59(70.2%) males. The mean age of presentation was 36.3±1.6 years. The mean total leucocyte count(TLC)was 31.2±4.2×109/L, and the mean platelet count was 69.3±4.5×109/L. Del 17p was detected in a total of 8(9.5%) patients. The median age of patients with del 17p at diagnosis was 33 years, the mean TLC was 12.32±10.36x109/L, and the mean platelet count was 80±26.73*109/L. Prominent clinical features among patients with del 17p included fever and pallor. Conclusion: Our study suggests a relatively low frequency of del 17p in AML (9.5%), which is consistent with international data.
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- 2023
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39. Frequency of PDGFRA, PDGFRB and FGFR1 Gene Rearrangements in Patients with Eosinophilia and Their Clinico-Haematologic Parameters
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Saniya Jalil, Helen Mary Robert, Hamid Saeed, Asad Mehmood Abbasi, Aamna Latif, and Annum Sardar
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Clinico-haematologic features ,Eosinophilia ,FGFR1 ,PDGFRA ,PDGFRB ,Medicine ,Medicine (General) ,R5-920 - Abstract
Objective: To determine the frequency and clinico-haematological features of PDGFRA, PDGFRB and FGFR1 gene rearrangements in patients with persistent Eosinophilia using Fluorescence in situ hybridization. Study Design: Cross-sectional study. Place and Duration of Study: Department of Hematology, Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Dec 2018 to Dec 2019. Methodology: All Patients who presented to AFIP having absolute eosinophil count >1.5x109/L persistent for over six months or with Myeloid or Lymphoid neoplasms with persistent Eosinophilia were studied. Patients having reactive Eosinophilia and those on treatment were excluded. Interphase FISH studies were performed. In addition, 2.5ml of sodium heparin blood was taken. After the denaturation of DNA, slides were set up according to standard protocol. FIP1L1/CHIC2/PDGFRA dual colour probe was applied for PDGFRA, 5q32 PDGFRA break apart probe for PDGFRB and XL FGFR1 break apart probe for FGFR1 gene rearrangement. Results: A total of 60 patients were included in the study. Of these, 50(83.3%) were males, and 10(16.7%) were females, with an average absolute Eosinophilia count of 5.92±7.10x109/L. The only rearrangement detected in patients with Eosinophilia was FIPILI-PDGFRA gene fusion, detected in 20% of the patients. No other rearrangement was found. Conclusion: PDGFRA, PDGFRB and FGFR1 mutations are rare yet most prominent in patients with clonal Eosinophilia. About 80% of eosinophilic patients were found to have idiopathic Eosinophilia, which requires further consideration to address the disease prevalence.
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- 2023
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40. THU-078 Extra-hepatic organ failure in ACLF patients is associated with poor survival and limited curative therapy-results from AARC cohort
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Choudhury, Ashok Kumar, primary, Arora, Vinod, additional, Rela, Mohd., additional, Jothimani, Dinesh, additional, Al-Mahtab, Mamun, additional, Devarbhavi, Harshad, additional, Eapen, CE, additional, Goel, Ashish, additional, Yaghi, Cesar, additional, Ning, Qin, additional, Chen, Tao, additional, Duan, Zhongping, additional, Hamid, Saeed Sadiq, additional, Jafri, Wasim, additional, Shukla, Akash, additional, Tan, Soek-Siam, additional, Kim, Dong Joon, additional, Saraya, Anoop, additional, Hu, Jinhua, additional, Sood, Ajit, additional, Goyal, Omesh, additional, Sahoo, Manoj, additional, Lee, Guan-Huei, additional, Treeprasertsuk, Sombat, additional, Thanapirom, Kessarin, additional, Mandot, Ameet, additional, Shah, Samir, additional, Lesmana, Laurentius A., additional, Ghazinyan, Hasmik, additional, V G, Mohan Prasad, additional, Dokmeci, A. Kadir, additional, Sollano, Jose, additional, Abbas, Zaigham, additional, Shrestha, Ananta, additional, Lau, George, additional, Payawal, Diana, additional, Shiha, Gamal, additional, Duseja, Ajay Kumar, additional, Taneja, Sunil, additional, Padaki, Nagaraja Rao, additional, Kulkarni, Anand, additional, Karim, Md. Fazal, additional, Dhiman, Radha Krishan, additional, Mishra, Ajay, additional, Alam, Shahinul, additional, Yokosuka, Osamu, additional, Chowdhury, Dr. Debashis, additional, Kedarisetty, Chandan, additional, Saigal, Dr Sanjiv, additional, Arora, Anil, additional, Kumar, Ashish, additional, Yattoo, Ghulam Nabi, additional, Koshy, Abraham, additional, Kumar, Ajay, additional, Elbasiony, Mohammed, additional, Rathi, Pravin, additional, Maharshi, Sudhir, additional, Dayal, V.M., additional, Jha, Ashish Kumar, additional, Kalista, Kemal Fariz, additional, Gani, Rino, additional, Yuen, Man-Fung, additional, Singh, Virendra, additional, Singh, Ayaskant, additional, Violeta, Sargsyan, additional, Huang, Chien-Hao, additional, Mukewar, Saurabh, additional, Xin, Shaojie, additional, Bhavani, Ruveena, additional, Panackel, Charles, additional, Dadhich, Sunil, additional, Sachdeva, Sanjeev, additional, Behera, Sanatan, additional, Maji, Prabir, additional, Kamani, Lubna, additional, Saithanyamurthi, Hemamala Venugopal, additional, Varghese, Dr. Joy, additional, Parikh, Pathik, additional, Javed, P, additional, Saraf, Neeraj, additional, Choudhary, Narendra S., additional, Roy, Akash, additional, Goenka, Mahesh, additional, Kalal, Chetan, additional, Devadas, Krishnadas, additional, Adali, Gupse, additional, Silva H, Janaka De, additional, Omata, Masao, additional, Sharma, Manoj, additional, and Sarin, Shiv Kumar, additional
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- 2024
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41. THU-052 Therapeutic plasma-exchange improves short-term survival in patients with ACLF admitted to intensive care unit with organ failures-a multinational AARC data analysis
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Maiwall, Rakhi, primary, Rao Pasupuleti, Samba Siva, additional, Choudhury, Ashok Kumar, additional, Arora, Vinod, additional, Rela, Mohd., additional, Jothimani, Dinesh, additional, Al-Mahtab, Mamun, additional, Devarbhavi, Harshad, additional, Eapen, CE, additional, Goel, Ashish, additional, Yaghi, Cesar, additional, Ning, Qin, additional, Chen, Tao, additional, Jia, Jidong, additional, Duan, Zhongping, additional, Hamid, Saeed Sadiq, additional, Subhan, Amna, additional, Jafri, Wasim, additional, Shukla, Akash, additional, Tan, Soek-Siam, additional, Kim, Dong Joon, additional, Saraya, Anoop, additional, Hu, Jinhua, additional, Sood, Ajit, additional, Goyal, Omesh, additional, Midha, Vandana, additional, Sahoo, Manoj, additional, Lee, Guan-Huei, additional, Treeprasertsuk, Sombat, additional, Thanapirom, Kessarin, additional, Mandot, Ameet, additional, Shah, Samir, additional, Lesmana, Laurentius A., additional, Ghazinyan, Hasmik, additional, V G, Mohan Prasad, additional, Dokmeci, A. Kadir, additional, Sollano, Jose, additional, Abbas, Zaigham, additional, Shrestha, Ananta, additional, Lau, George, additional, Payawal, Diana, additional, Shiha, Gamal, additional, Duseja, Ajay Kumar, additional, Taneja, Sunil, additional, Verma, Nipun, additional, Padaki, Nagaraja Rao, additional, Kulkarni, Anand, additional, Sharma, Mithun, additional, Karim, Md. Fazal, additional, Dhiman, Radha Krishan, additional, Mishra, Ajay, additional, Alam, Shahinul, additional, Yokosuka, Osamu, additional, Chowdhury, Debashis, additional, Kedarisetty, Chandan, additional, Saigal, Sanjiv, additional, Arora, Anil, additional, Kumar, Ashish, additional, Koshy, Abraham, additional, Kumar, Ajay, additional, Elbasiony, Mohammed, additional, Rathi, Pravin, additional, Maharshi, Sudhir, additional, Dayal, V.M., additional, Jha, Ashish Kumar, additional, Kalista, Kemal Fariz, additional, Gani, Rino, additional, Yuen, Man-Fung, additional, Singh, Virendra, additional, Singh, Ayaskant, additional, Violeta, Sargsyan, additional, Huang, Chien-Hao, additional, Mukewar, Saurabh, additional, Xin, Shaojie, additional, Bhavani, Ruveena, additional, Panackel, Charles, additional, Dadhich, Sunil, additional, Sachdeva, Sanjeev, additional, Behera, Sanatan, additional, Maji, Prabir, additional, Kamani, Lubna, additional, Saithanyamurthi, Hemamala Venugopal, additional, Varghese, Dr. Joy, additional, Parikh, Pathik, additional, Javed, P, additional, Saraf, Neeraj, additional, Choudhary, Narendra S., additional, Roy, Akash, additional, Goenka, Mahesh, additional, Kalal, Chetan, additional, Devadas, Krishnadas, additional, De Silva H, Janaka, additional, and Sarin, Shiv Kumar, additional
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- 2024
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42. WED-382 Modeling dual antiviral activity of lonafarnib to explain hepatitis D virus RNA negativity 24 weeks after end of therapy despite RNA positivity at end of therapy: The D-LIVR study
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Mhlanga, Adquate, primary, Dahari, Harel, additional, Hershkovich, Leeor, additional, Cotler, Scott, additional, Choong, Ingrid, additional, Hislop, Colin, additional, Heller, Theo, additional, Koh, Christopher, additional, Glenn, Jeffrey, additional, Asselah, Tarik, additional, Hamid, Saeed Sadiq, additional, and Etzion, Ohad, additional
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- 2024
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43. SAT-438 Fatigue is an Important Driver of Work Productivity Loss and Impairment of Patient-Reported Outcomes (PROs) among Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
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Younossi, Zobair, primary, Yilmaz, Yusuf, additional, Yu, Ming-Lung, additional, Isakov, Vasily, additional, Fernández, Marlen Ivon Castellanos, additional, Wong, Vincent Wai-Sun, additional, Eguchi, Yuichiro, additional, Romero-Gómez, Manuel, additional, Méndez-Sánchez, Nahum, additional, Duseja, Ajay Kumar, additional, Keklikkiran, Caglayan, additional, George, Jacob, additional, Bugianesi, Elisabetta, additional, Singal, Ashwani K., additional, Hamid, Saeed Sadiq, additional, Alswat, Khalid A., additional, Chan, Wah-Kheong, additional, Fan, Jiangao, additional, Papatheodoridis, George, additional, Gordon, Stuart C., additional, El-Kassas, Mohamed, additional, Roberts, Stuart, additional, Lam, Brian, additional, Racila, Andrei, additional, Henry, Linda, additional, Alqahtani, Saleh, additional, and Stepanova, Maria, additional
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- 2024
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44. A Comprehensive Physiologically Based Pharmacokinetic Model of Nadolol in Adults with Renal Disease and Pediatrics with Supraventricular Tachycardia
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Samia Kalsoom, Muhammad Fawad Rasool, Imran Imran, Hamid Saeed, Tanveer Ahmad, and Faleh Alqahtani
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nadolol ,physiologically based pharmacokinetic ,PK-Sim ,pharmacokinetic ,renal impairment ,pediatrics ,Medicine ,Pharmacy and materia medica ,RS1-441 - Abstract
Nadolol is a long-acting non-selective β–adrenergic antagonist that helps treat angina and hypertension. The current study aimed to develop and validate the physiologically based pharmacokinetic model (PBPK) of nadolol in healthy adults, renal-compromised, and pediatric populations. A comprehensive PBPK model was established by utilizing a PK-Sim simulator. After establishing and validating the model in healthy adults, pathophysiological changes i.e., blood flow, hematocrit, and GFR that occur in renal failure were incorporated in the developed model, and the drug exposure was assessed through Box plots. The pediatric model was also developed and evaluated by considering the renal maturation process. The validation of the models was carried out by visual predictive checks, calculating predicted to observed (Rpre/obs) and the average fold error (AFE) of PK parameters i.e., the area under the concentration–time curve (AUC0-t), the maximum concentration in plasma (Cmax), and CL (clearance). The presented PBPK model successfully simulates the nadolol PK in healthy adults, renal-impaired, and pediatric populations, as the Rpre/obs values of all PK parameters fall within the acceptable range. The established PBPK model can be useful in nadolol dose optimization in patients with renal failure and children with supraventricular tachycardia.
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- 2024
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45. Glanzmann thrombasthenia—A not so rare platelet function disorder in Pakistan
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Mahmood, Rafia, Malik, Hamid Saeed, Khan, Maria, Ali, Sadia, Mahmood, Asad, and Khan, Saleem Ahmed
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- 2022
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46. Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Sheena, Brittney S, Hiebert, Lindsey, Han, Hannah, Ippolito, Helen, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abbastabar, Hedayat, Abdoli, Amir, Abubaker Ali, Hiwa, Adane, Mesafint Molla, Adegboye, Oyelola A, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afzal, Muhammad Sohail, Afzal, Saira, Aghaie Meybodi, Mohamad, Ahadinezhad, Bahman, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Sepideh, Ahmed, Haroon, Ahmed, Muktar Beshir, Ahmed Rashid, Tarik, Akalu, Gizachew Taddesse, Aklilu, Addis, Akram, Tayyaba, Al Hamad, Hanadi, Alahdab, Fares, Alem, Adugnaw Zeleke, Alem, Dejene Tsegaye, Alhalaiqa, Fadwa Alhalaiqa Naji, Alhassan, Robert Kaba, Ali, Liaqat, Ali, Muhammad Ashar, Alimohamadi, Yousef, Alipour, Vahid, Alkhayyat, Motasem, Almustanyir, Sami, Al-Raddadi, Rajaa M, Altawalah, Haya, Amini, Saeed, Amu, Hubert, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Anoushiravani, Amir, Ansar, Adnan, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arab-Zozani, Morteza, Argaw, Ayele Mamo, Argaw, Zeleke Gebru, Arshad, Muhammad, Artamonov, Anton A, Ashraf, Tahira, Atlaw, Daniel, Ausloos, Floriane, Ausloos, Marcel, Azadnajafabad, Sina, Azangou-Khyavy, Mohammadreza, Azari Jafari, Amirhossein, Azarian, Ghasem, Bagheri, Sayna, Bahadory, Saeed, Baig, Atif Amin, Banach, Maciej, Barati, Nastaran, Barrow, Amadou, Batiha, Abdul-Monim Mohammad, Bejarano Ramirez, Diana Fernanda, Belgaumi, Uzma Iqbal, Berhie, Alemshet Yirga, Bhagat, Devidas S, Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhattacharyya, Krittika, Bhojaraja, Vijayalakshmi S, Bijani, Ali, Biondi, Antonio, Bodicha, Belay Boda Abule, Bojia, Hunduma Amensisa, Boloor, Archith, Bosetti, Cristina, Braithwaite, Dejana, Briko, Nikolay Ivanovich, Butt, Zahid A, Cámera, Luis Alberto, Chakinala, Raja Chandra, Chakraborty, Promit Ananyo, Charan, Jaykaran, Chen, Shu, Choi, Jee-Young Jasmine, Choudhari, Sonali Gajanan, Chowdhury, Fazle Rabbi, Chu, Dinh-Toi, Chung, Sheng-Chia, Cortesi, Paolo Angelo, Cowie, Benjamin C, Culbreth, Garland T, Dadras, Omid, Dai, Xiaochen, Dandona, Lalit, Dandona, Rakhi, De la Hoz, Fernando Pio, Debela, Sisay Abebe, Dedefo, Mohammed Gebre, Demeke, Feleke Mekonnen, Demie, Takele Gezahegn G, Demissie, Getu Debalkie, Derbew Molla, Meseret, Desta, Abebaw Alemayehu, Dhamnetiya, Deepak, Dhimal, Mandira Lamichhane, Dhimal, Meghnath, Didehdar, Mojtaba, Doan, Linh Phuong, Dorostkar, Fariba, Drake, Thomas M, Eghbalian, Fatemeh, Ekholuenetale, Michael, El Sayed, Iman, El Sayed Zaki, Maysaa, Elhadi, Muhammed, Elmonem, Mohamed A, Elsharkawy, Aisha, Enany, Shymaa, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Eskandarieh, Sharareh, Esmaeilzadeh, Firooz, Ezzikouri, Sayeh, Farrokhpour, Hossein, Fetensa, Getahun, Fischer, Florian, Foroutan, Masoud, Gad, Mohamed M, Gaidhane, Abhay Motiramji, Gaidhane, Shilpa, Galles, Natalie C, Gallus, Silvano, Gebremeskel, Teferi Gebru, Gebreyohannes, Eyob Alemayehu, Ghadiri, Keyghobad, Ghaffari, Kazem, Ghafourifard, Mansour, Ghamari, Seyyed-Hadi, Ghashghaee, Ahmad, Gholami, Ali, Gholizadeh, Abdolmajid, Gilani, Aima, Goel, Amit, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Gorini, Giuseppe, Goshu, Yitayal Ayalew, Griswold, Max G, Gubari, Mohammed Ibrahim Mohialdeen, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Haddadi, Rasool, Halwani, Rabih, Hamid, Saeed S, Hamidi, Samer, Hanif, Asif, Haque, Shafiul, Harapan, Harapan, Hargono, Arief, Hariri, Sanam, Hasaballah, Ahmed I, Hasan, S M Mahmudul, Hassanipour, Soheil, Hassankhani, Hadi, Hay, Simon I, Hayat, Khezar, Heidari, Golnaz, Herteliu, Claudiu, Heyi, Demisu Zenbaba, Hezam, Kamal, Holla, Ramesh, Hosseini, Mohammad-Salar, Hosseini, Mostafa, Hosseinzadeh, Mehdi, Hostiuc, Mihaela, Househ, Mowafa, Huang, Junjie, Hussein, Nawfal R, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ilesanmi, Olayinka Stephen, Ilic, Irena M, Ilic, Milena D, Irham, Lalu Muhammad, Islam, Jessica Y, Ismail, Nahlah Elkudssiah, Jacobsen, Kathryn H, Jadidi-Niaragh, Farhad, Javadi Mamaghani, Amirreza, Jayaram, Shubha, Jayawardena, Ranil, Jebai, Rime, Jha, Ravi Prakash, Joseph, Nitin, Joukar, Farahnaz, Kaambwa, Billingsley, Kabir, Ali, Kabir, Zubair, Kalhor, Rohollah, Kandel, Himal, Kanko, Tesfaye K Tesfaye, Kantar, Rami S, Karaye, Ibraheem M, Kassa, Bekalu Getnet, Kemp Bohan, Phillip M, Keykhaei, Mohammad, Khader, Yousef Saleh, Khajuria, Himanshu, Khan, Gulfaraz, Khan, Imteyaz A, Khan, Junaid, Khan, Moien AB, Khanali, Javad, Khater, Amir M, Khatib, Mahalaqua Nazli, Khodadost, Mahmoud, Khoja, Abdullah T, Khosravizadeh, Omid, Khubchandani, Jagdish, Kim, Gyu Ri, Kim, Hanna, Kim, Min Seo, Kim, Yun Jin, Kocarnik, Jonathan M, Kolahi, Ali-Asghar, Koteeswaran, Rajasekaran, Kumar, G Anil, La Vecchia, Carlo, Lal, Dharmesh Kumar, Landires, Iván, Lasrado, Savita, Lazarus, Jeffrey V, Ledda, Caterina, Lee, Doo Woong, Lee, Sang-woong, Lee, Yeong Yeh, Levi, Miriam, Li, Jiarui, Lim, Stephen S, Lobo, Stany W, Lopukhov, Platon D, Loureiro, Joana A, MacLachlan, Jennifer H, Magdy Abd El Razek, Hassan, Magdy Abd El Razek, Muhammed, Majeed, Azeem, Makki, Alaa, Malekpour, Mohammad-Reza, Malekzadeh, Reza, Malik, Ahmad Azam, Mansour-Ghanaei, Fariborz, Mansournia, Mohammad Ali, Martins-Melo, Francisco Rogerlândio, Matthews, Philippa C, Mendoza, Walter, Menezes, Ritesh G, Meretoja, Tuomo J, Mersha, Amanual Getnet, Mestrovic, Tomislav, Miller, Ted R, Minh, Le Huu Nhat, Mirica, Andreea, Mirmoeeni, Seyyedmohammadsadeq, Mirrakhimov, Erkin M, Misra, Sanjeev, Mithra, Prasanna, Moazen, Babak, Mohamadkhani, Ashraf, Mohammadi, Mokhtar, Mohammed, Shafiu, Moka, Nagabhishek, Mokdad, Ali H, Moludi, Jalal, Momtazmanesh, Sara, Monasta, Lorenzo, Moradi, Ghobad, Moradzadeh, Maliheh, Moradzadeh, Rahmatollah, Moraga, Paula, Mostafavi, Ebrahim, Mubarik, Sumaira, Muniyandi, Malaisamy, Murray, Christopher J L, Naghavi, Mohsen, Naimzada, Mukhammad David, Narasimha Swamy, Sreenivas, Natto, Zuhair S, Nayak, Biswa Prakash, Nazari, Javad, Negoi, Ionut, Negru, Serban Mircea, Nejadghaderi, Seyed Aria, Neupane Kandel, Sandhya, Nguyen, Huong Lan Thi, Ngwa, Che Henry, Niazi, Robina Khan, Nnaji, Chukwudi A, Noubiap, Jean Jacques, Nowroozi, Ali, Nuñez-Samudio, Virginia, Oancea, Bogdan, Ochir, Chimedsuren, Odukoya, Oluwakemi Ololade, Oh, In-Hwan, Olagunju, Andrew T, Olakunde, Babayemi Oluwaseun, Omar Bali, Ahmed, Omer, Emad, Otstavnov, Stanislav S, Oumer, Bilcha, Padubidri, Jagadish Rao, Pana, Adrian, Pandey, Anamika, Park, Eun-Cheol, Pashazadeh Kan, Fatemeh, Patel, Urvish K, Paudel, Uttam, Petcu, Ionela-Roxana, Piracha, Zahra Zahid, Pollok, Richard Charles G, Postma, Maarten J, Pourshams, Akram, Poustchi, Hossein, Rabiee, Mohammad, Rabiee, Navid, Rafiei, Alireza, Rafiei, Sima, Raghuram, Pavan Manibettu, Rahman, Mosiur, Rahmani, Amir Masoud, Rahmawaty, Setyaningrum, Rajesh, Aashish, Ranasinghe, Priyanga, Rao, Chythra R, Rao, Sowmya J, Rashidi, Mahsa, Rashidi, Mohammad-Mahdi, Rawaf, David Laith, Rawaf, Salman, Rawassizadeh, Reza, Rezaei, Negar, Rezapour, Aziz, Rezazadeh-Khadem, Sahba, Rodriguez, Jefferson Antonio Buendia, Rwegerera, Godfrey M, Sabour, Siamak, Saddik, Basema, Saeb, Mohammad Reza, Saeed, Umar, Sahebkar, Amirhossein, Saif-Ur-Rahman, KM, Salahi, Sarvenaz, Salimzadeh, Hamideh, Sampath, Chethan, Samy, Abdallah M, Sanabria, Juan, Sanmarchi, Francesco, Santric-Milicevic, Milena M, Sarveazad, Arash, Sathian, Brijesh, Sawhney, Monika, Seidu, Abdul-Aziz, Sepanlou, Sadaf G, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shaker, Elaheh, Shakhmardanov, Murad Ziyaudinovich, Shannawaz, Mohammed, Shenoy, Suchitra M, Shetty, Jeevan K, Shetty, Pavanchand H, Shibuya, Kenji, Shin, Jae Il, Shobeiri, Parnian, Sibhat, Migbar Mekonnen, Singh, Achintya Dinesh, Singh, Jasvinder A, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sohrabpour, Amir Ali, Song, Suhang, Tabaeian, Seidamir Pasha, Tadesse, Eyayou Girma, Taheri, Majid, Tampa, Mircea, Tan, Ker-Kan, Tavakoli, Ahmad, Tbakhi, Abdelghani, Tefera, Belay Negash, Tehrani-Banihashemi, Arash, Tesfaw, Habtamu Molla, Thapar, Rekha, Thavamani, Aravind, Tohidast, Seyed Abolfazl, Tollosa, Daniel Nigusse, Tosti, Maria Elena, Tovani-Palone, Marcos Roberto, Traini, Eugenio, Tran, Mai Thi Ngoc, Trihandini, Indang, Tusa, Biruk Shalmeno, Ullah, Irfan, Vacante, Marco, Valadan Tahbaz, Sahel, Valdez, Pascual R, Varthya, Shoban Babu, Vo, Bay, Waheed, Yasir, Weldesenbet, Adisu Birhanu, Woldemariam, Melat, Xu, Suowen, Yahyazadeh Jabbari, Seyed Hossein, Yaseri, Mehdi, Yeshaw, Yigizie, Yiğit, Vahit, Yirdaw, Birhanu Wubale, Yonemoto, Naohiro, Yu, Chuanhua, Yunusa, Ismaeel, Zahir, Mazyar, Zaki, Leila, Zamani, Mohammad, Zamanian, Maryam, Zastrozhin, Mikhail Sergeevich, Vos, Theo, Ward, John W, and Dirac, M Ashworth
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- 2022
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47. Evaluation of indole-picolinamide hybrid molecules as carbonic anhydrase-II inhibitors: Biological and computational studies
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Zaib, Sumera, Khan, Imtiaz, Anbar, Hanan S., Zaraei, Seyed-Omar, Sbenati, Rawan M., Maryam, Hafiza Taha, Shah, Hamid Saeed, and El-Gamal, Mohammed I.
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- 2022
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48. Protocol for a cluster randomised controlled trial of secondary distribution of hepatitis C self-testing within the context of a house-to-house hepatitis C micro-elimination programme in Karachi, Pakistan
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Shilton, Sonjelle, Ali, Dania, Hasnain, Alyia, Abid, Adeel, Markby, Jessica, Jamil, Muhammad S., Luhmann, Niklas, Nabeta, Pamela, Ongarello, Stefano, Reipold, Elena Ivanova, and Hamid, Saeed
- Published
- 2022
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49. Factors affecting health-related quality of life (HRQoL) in Pakistani children with thalassemia
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Narjis Batool, Zikria Saleem, Hamid Saeed, Sadia Yasmeen, Rabia Anwar, Faheem Ahmad, Fatima Tauqeer, and Muhammad Mahboob
- Subjects
quality of life (hrqol) ,thalassemia ,pakistan. ,Medicine - Published
- 2022
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50. Global change in hepatitis C virus prevalence and cascade of care between 2015 and 2020: a modelling study
- Author
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Blach, Sarah, Terrault, Norah A, Tacke, Frank, Gamkrelidze, Ivane, Craxi, Antonio, Tanaka, Junko, Waked, Imam, Dore, Gregory J, Abbas, Zaigham, Abdallah, Ayat R, Abdulla, Maheeba, Aghemo, Alessio, Aho, Inka, Akarca, Ulus S, Alalwan, Abduljaleel M, Alanko Blomé, Marianne, Al-Busafi, Said A, Aleman, Soo, Alghamdi, Abdullah S, Al-Hamoudi, Waleed K, Aljumah, Abdulrahman A, Al-Naamani, Khalid, Al Serkal, Yousif M, Altraif, Ibrahim H, Anand, Anil C, Anderson, Motswedi, Andersson, Monique I, Athanasakis, Kostas, Baatarkhuu, Oidov, Bakieva, Shokhista R, Ben-Ari, Ziv, Bessone, Fernando, Biondi, Mia J, Bizri, Abdul Rahman N, Brandão-Mello, Carlos E, Brigida, Krestina, Brown, Kimberly A, Brown, Jr, Robert S, Bruggmann, Philip, Brunetto, Maurizia R, Busschots, Dana, Buti, Maria, Butsashvili, Maia, Cabezas, Joaquin, Chae, Chungman, Chaloska Ivanova, Viktorija, Chan, Henry Lik Yuen, Cheinquer, Hugo, Cheng, Kent Jason, Cheon, Myeong-Eun, Chien, Cheng-Hung, Chien, Rong-Nan, Choudhuri, Gourdas, Christensen, Peer Brehm, Chuang, Wan-Long, Chulanov, Vladimir, Cisneros, Laura E, Coco, Barbara, Contreras, Fernando A, Cornberg, Markus, Cramp, Matthew E, Crespo, Javier, Cui, Fuqiang, Cunningham, Chris W, Dagher Abou, Lucy, Dalgard, Olav, Dao, Doan Y, De Ledinghen, Victor, Derbala, Moutaz F, Deuba, Keshab, Dhindsa, Karan, Djauzi, Samsuridjal, Drazilova, Sylvia, Duberg, Ann-Sofi, Elbadri, Mohammed, El-Sayed, Manal H, Esmat, Gamal, Estes, Chris, Ezzat, Sameera, Färkkilä, Martti A, Ferradini, Laurent, Ferraz, Maria Lucia G, Ferreira, Paulo R A, Filipec Kanizaj, Tajana, Flisiak, Robert, Frankova, Sona, Fung, James, Gamkrelidze, Amiran, Gane, Edward, Garcia, Virginia, García-Samaniego, Javier, Gemilyan, Manik, Genov, Jordan, Gheorghe, Liliana S, Gholam, Pierre M, Goldis, Adrian, Gottfredsson, Magnus, Gray, Richard T, Grebely, Jason, Gschwantler, Michael, Hajarizadeh, Behzad, Hamid, Saeed S, Hamoudi, Waseem, Hatzakis, Angelos, Hellard, Margaret E, Himatt, Sayed, Hofer, Harald, Hrstic, Irena, Hunyady, Bela, Husa, Petr, Husic-Selimovic, Azra, Jafri, Wasim S M, Janicko, Martin, Janjua, Naveed, Jarcuska, Peter, Jaroszewicz, Jerzy, Jerkeman, Anna, Jeruma, Agita, Jia, Jidong, Jonasson, Jon G, Kåberg, Martin, Kaita, Kelly D E, Kaliaskarova, Kulpash S, Kao, Jia-Horng, Kasymov, Omor T, Kelly-Hanku, Angela, Khamis, Faryal, Khamis, Jawad, Khan, Aamir G, Khandu, Lekey, Khoudri, Ibtissam, Kielland, Knut B, Kim, Do Young, Kodjoh, Nicolas, Kondili, Loreta A, Krajden, Mel, Krarup, Henrik Bygum, Kristian, Pavol, Kwon, Jisoo A, Lagging, Martin, Laleman, Wim, Lao, Wai Cheung, Lavanchy, Daniel, Lázaro, Pablo, Lazarus, Jeffrey V, Lee, Alice U, Lee, Mei-Hsuan, Li, Michael K K, Liakina, Valentina, Lim, Young-Suk, Löve, Arthur, Lukšić, Boris, Machekera, Shepherd Mufudzi, Malu, Abraham O, Marinho, Rui T, Maticic, Mojca, Mekonnen, Hailemichael D, Mendes-Correa, Maria Cássia, Mendez-Sanchez, Nahum, Merat, Shahin, Meshesha, Berhane Redae, Midgard, Håvard, Mills, Mike, Mohamed, Rosmawati, Mooneyhan, Ellen, Moreno, Christophe, Muljono, David H, Müllhaupt, Beat, Musabaev, Erkin, Muyldermans, Gaëtan, Nartey, Yvonne Ayerki, Naveira, Marcelo C M, Negro, Francesco, Nersesov, Alexander V, Njouom, Richard, Ntagirabiri, Rénovat, Nurmatov, Zuridin S, Obekpa, Solomon A, Oguche, Stephen, Olafsson, Sigurdur, Ong, Janus P, Opare-Sem, Ohene K, Orrego, Mauricio, Øvrehus, Anne L, Pan, Calvin Q, Papatheodoridis, George V, Peck-Radosavljevic, Markus, Pessoa, Mário G, Phillips, Richard O, Pimenov, Nikolay, Plaseska-Karanfilska, Dijana, Prabdial-Sing, Nishi N, Puri, Pankaj, Qureshi, Huma, Rahman, Aninda, Ramji, Alnoor, Razavi-Shearer, Devin M, Razavi-Shearer, Kathryn, Ridruejo, Ezequiel, Ríos-Hincapié, Cielo Y, Rizvi, S M Shahriar, Robaeys, Geert K M M, Roberts, Lewis R, Roberts, Stuart K, Ryder, Stephen D, Sadirova, Shakhlo, Saeed, Umar, Safadi, Rifaat, Sagalova, Olga, Said, Sanaa S, Salupere, Riina, Sanai, Faisal M, Sanchez-Avila, Juan F, Saraswat, Vivek A, Sarrazin, Christoph, Sarybayeva, Gulya, Seguin-Devaux, Carole, Sharara, Ala I, Sheikh, Mahdi, Shewaye, Abate B, Sievert, William, Simojoki, Kaarlo, Simonova, Marieta Y, Sonderup, Mark W, Spearman, C Wendy, Sperl, Jan, Stauber, Rudolf E, Stedman, Catherine A M, Su, Tung-Hung, Suleiman, Anita, Sypsa, Vana, Tamayo Antabak, Natalia, Tan, Soek-Siam, Tergast, Tammo L, Thurairajah, Prem H, Tolmane, Ieva, Tomasiewicz, Krzysztof, Tsereteli, Maia, Uzochukwu, Benjamin S C, Van De Vijver, David A M C, Van Santen, Daniela K, Van Vlierberghe, Hans, Van Welzen, Berend, Vanwolleghem, Thomas, Vélez-Möller, Patricia, Villamil, Federico, Vince, Adriana, Waheed, Yasir, Weis, Nina, Wong, Vincent W-S, Yaghi, Cesar G, Yesmembetov, Kakharman, Yosry, Ayman, Yuen, Man-Fung, Yunihastuti, Evy, Zeuzem, Stefan, Zuckerman, Eli, and Razavi, Homie A
- Published
- 2022
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