Δημοσιεύσεις

Κατάλογος ενδεικτικών δημοσιεύσεων του τμήματος Ιατρικής ΑΠΘ σε διεθνή επιστημονικά περιοδικά κατά τα τελευταία 5 έτη.

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Συντάκτης Τίτλος [ Τύπος(Asc)] Έτος
Journal Article
Andreou, C., & Bozikas V. P. (2013).  The predictive significance of neurocognitive factors for functional outcome in bipolar disorder.. Curr Opin Psychiatry. 26(1), 54-9.
Gutiérrez-Gutiérrez, B., Salamanca E., de Cueto M., Hsueh P-R., Viale P., Paño-Pardo J. Ramón, et al. (2016).  A Predictive Model of Mortality in Patients With Bloodstream Infections due to Carbapenemase-Producing Enterobacteriaceae.. Mayo Clin Proc. 91(10), 1362-1371.
Pazaitou-Panayiotou, K., Chrisoulidou A., Mandanas S., Tziomalos K., Doumala E., & Patakiouta F. (2014).  Predictive factors that influence the course of medullary thyroid carcinoma.. Int J Clin Oncol. 19(3), 445-51.
Valsamidis, K., Titelis K., Karkos P., Markou K., Constantinidis J., & Triaridis S. (2019).  Predictive factors of patients' general quality of life after nasal septoplasty.. Eur Arch Otorhinolaryngol. 276(2), 429-438.
Ioannidou, P., Papanikolaou D., Mikos T., Mastorakos G., & Goulis D. G. (2019).  Predictive factors of Hyperemesis Gravidarum: A systematic review.. Eur J Obstet Gynecol Reprod Biol. 238, 178-187.
Katsinelos, P., Lazaraki G., Gkagkalis S., Chatzimavroudis G., Fasoulas K., Zavos C., et al. (2014).  Predictive factors for post-ERCP pancreatitis: a large-scale single expertized endoscopist study.. Surg Laparosc Endosc Percutan Tech. 24(6), 512-6.
Makrydimas, G., & Sotiriadis A. (2014).  Prediction of preterm birth in twins.. Best Pract Res Clin Obstet Gynaecol. 28(2), 265-72.
Papaliagkas, V. T., Anogianakis G., Tsolaki M. N., Koliakos G., & Kimiskidis V. K. (2009).  Prediction of conversion from mild cognitive impairment to Alzheimer's disease by CSF cytochrome c levels and N200 latency.. Curr Alzheimer Res. 6(3), 279-84.
Papaioannidou, P., Akritopoulos P., Kyriakidis I., Hatzokos I., Haritanti A., Makaronidis I., et al. (2010).  Prediction of bone healing in rats after treatment with parecoxib. Review of Clinical Pharmacology and Pharmacokinetics, International Edition. 24, 225.
Vos, S. J. B., van Rossum I. A., Verhey F., Knol D. L., Soininen H., Wahlund L-O., et al. (2013).  Prediction of Alzheimer disease in subjects with amnestic and nonamnestic MCI.. Neurology. 80(12), 1124-32.
Mina, M., Kosmas I., Tsakiridis I., Mamopoulos A., Kalogiannidis I., Athanasiadis A., et al. (2021).  Prediction Models of Adnexal Masses: State-of-the-Art Review.. Obstet Gynecol Surv. 76(4), 211-222.
Pavlidis, T. Efstathios, & Pavlidis E. Theodoros (2022).  Prediction factors for ischemia of closed-loop small intestinal obstruction.. World J Gastrointest Surg. 14(9), 1086-1088.
Mantsopoulos, K., Psillas G., Psychogios G., Brase C., Iro H., & Constantinidis J. (2011).  Predicting the long-term outcome after idiopathic facial nerve paralysis.. Otol Neurotol. 32(5), 848-51.
Gkiougki, E., Mitsiakos G., Chatziioannidis E., Papadakis E., & Nikolaidis N. (2013).  Predicting response to rFVIIa in neonates with intractable bleeding or severe coagulation disturbances.. J Pediatr Hematol Oncol. 35(3), 221-6.
Handels, R. L. H., Vos S. J. B., Kramberger M. G., Jelic V., Blennow K., van Buchem M., et al. (2017).  Predicting progression to dementia in persons with mild cognitive impairment using cerebrospinal fluid markers.. Alzheimers Dement. 13(8), 903-912.
Chouvarda, I., Mendez M. O., Rosso V., Bianchi A. M., Parrino L., Grassi A., et al. (2011).  Predicting EEG complexity from sleep macro and microstructure.. Physiol Meas. 32(8), 1083-101.
Giannopoulos, A. A., Giannoglou G. D., & Chatzizisis Y. S. (2018).  Predicting Coronary Atherosclerotic Plaque Burden From Clinical Parameters: Bringing Old Knowledge in the Game.. Angiology. 69(5), 367-369.
Marizzoni, M., Ferrari C., Jovicich J., Albani D., Babiloni C., Cavaliere L., et al. (2018).  Predicting and Tracking Short Term Disease Progression in Amnestic Mild Cognitive Impairment Patients with Prodromal Alzheimer's Disease: Structural Brain Biomarkers.. J Alzheimers Dis.
Filos, D., Claes J., Cornelissen V., Kouidi E., & Chouvarda I. (2023).  Predicting Adherence to Home-Based Cardiac Rehabilitation with Data-Driven Methods. Applied Sciences. 13(10), 6120.
Lourbopoulos, A., Grigoriadis N., Karacostas D., Spandou E., Artemis N., Milonas I., et al. (2010).  Predictable ventricular shift after focal cerebral ischaemia in rats: practical considerations for intraventricular therapeutic interventions.. Lab Anim. 44(2), 71-8.
Dionyssiou, D., Demiri E., Tsimponis A., & Boorman J. (2014).  Predesigned Breast Shaping Assisted by Multidetector-Row Computed Tomographic Angiography in Autologous Breast Reconstruction. Plastic and Reconstructive Surgery. 133(2), 100e - 108e.
Dionyssiou, D., Demiri E., Tsimponis A., & Boorman J. (2014).  Predesigned breast shaping assisted by multidetector-row computed tomographic angiography in autologous breast reconstruction.. Plast Reconstr Surg. 133(2), 100-8e.
Papadopoulos, C. (2003).  Preconditioning reduces QTc value in patients with first non-ST-segment elevation myocardial infarction (NSTEMI).
Eleftheriadis, T., Pissas G., Sounidaki M., Antoniadis N., Antoniadi G., Liakopoulos V., et al. (2017).  Preconditioning of primary human renal proximal tubular epithelial cells without tryptophan increases survival under hypoxia by inducing autophagy.. Int Urol Nephrol. 49(7), 1297-1307.
Fountoulakis, K. N., & Stahl S. M. (2020).  Precision and personalized assessment, diagnosis and treatment in psychiatry.. CNS Spectr. 1-7.

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