Mostafa Sheba
Cairo University
5 Papers
Mostafa Sheba is an academic researcher from Cairo University. The author has contributed to research in topics: Medicine & Cancer. The author has an hindex of 2, co-authored 2 publications.
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Papers
Outcome of pediatric renal transplantation in urological versus non-urological causes of end stage renal disease: Does it matter?
Ahmed A. Hussein,Ahmed I. Shoukry,Fatina I. Fadel,Hani Morsi,Hussein A. Hussein,Mostafa Sheba,Nada El-Khateeb,Waseem Abou-El Ela,Mohamed S. El-Sheemy,Kareem Daw,Ahmed M. Shouman,Amr Lotfy,Hisham Badawy,Mohamed A. Eissa +13 more
TL;DR: Female patients with non-urological causes of ESRD are more likely to have better long-term renal functions, and less liable to develop complications following renal transplantation.
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Assessing the impact of MRI based diagnostics on pre-treatment disease classification and prognostic model performance in men diagnosed with new prostate cancer from an unscreened population
Artitaya Lophatananon,Matthew H V Byrne,Tristan Barrett,Anne Y. Warren,Kenneth Muir,I. Dokubo,Fanos Georgiades,Mostafa Sheba,Lisa Bibby,Vincent J. Gnanapragasam +9 more
TL;DR: In this article , the authors compared categorisation of cancers using either only clinical parameters or with MRI enhanced information in men referred for suspected prostate cancer from an unscreened population, and compared individualised overall survival (OS) predictions using the Predict Prostate algorithm.
Outcomes of living donor renal transplantation in children with lower urinary tract dysfunction: a comparative retrospective study
Ismail R. Saad,Enmar Habib,Mohammed S. ElSheemy,Mahmoud A. Abdel-Hakim,Mostafa Sheba,Aziz Mosleh,Doaa M. Salah,Hafez M. Bazaraa,Fatina I. Fadel,Hany A. Morsi,Hesham Badawy +10 more
TL;DR: To compare outcomes of renal transplantation (RTx) in children with end‐stage renal disease (ESRD) resulting from lower urinary tract dysfunction (LUTD) vs other causes, RTx is compared to other causes.
Assessing the impact of MRI based diagnostics on pre-treatment disease classification and prognostic model performance in men diagnosed with new prostate cancer from an unscreened population
Artitaya Lophatananon,Matthew H V Byrne,Tristan Barrett,Anne Y. Warren,Kenneth Muir,I. Dokubo,Fanos Georgiades,Mostafa Sheba,Lisa M Bibby,Vincent J. Gnanapragasam +9 more
TL;DR: In this paper , the authors compared categorisation of cancers using either only clinical parameters or with MRI enhanced information in men referred for suspected prostate cancer from an unscreened population, and compared individualised overall survival (OS) predictions using the Predict Prostate algorithm.