Δημοσιεύσεις

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

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Journal Article
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Makrydimas, G., & Sotiriadis A. (2014).  Prediction of preterm birth in twins.. Best Pract Res Clin Obstet Gynaecol. 28(2), 265-72.
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.
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.
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.
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.
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.
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.
Boutsikou, E., Porpodis K., Chatzipavlidou V., Hardavella G., Gerasimou G., Domvri K., et al. (2019).  Predictive Value of 99MTC-hynic-toc Scintigraphy in Lung Neuroendocrine Tumor Diagnosis.. Technol Cancer Res Treat. 18, 1533033819842586.
Boutsikou, E., Porpodis K., Chatzipavlidou V., Hardavella G., Gerasimou G., Domvri K., et al. (2019).  Predictive Value of 99MTC-hynic-toc Scintigraphy in Lung Neuroendocrine Tumor Diagnosis. Technology in Cancer Research & Treatment. 18343026891346720133710561940415731193733313519654559397434541965161251763272712742085(31861153110212561721922326215314471021245111975), 153303381984258.
Tsakos, E., Tolikas A., Daniilidis A., & Asimakopoulos B. (2014).  Predictive value of anti-müllerian hormone, follicle-stimulating hormone and antral follicle count on the outcome of ovarian stimulation in women following GnRH-antagonist protocol for IVF/ET.. Arch Gynecol Obstet. 290(6), 1249-53.
Kokkinidis, D. G., Papanastasiou C. A., Jonnalagadda A. Kumar, Oikonomou E. K., Theochari C. A., Palaiodimos L., et al. (2018).  The predictive value of baseline pulmonary hypertension in early and long term cardiac and all-cause mortality after transcatheter aortic valve implantation for patients with severe aortic valve stenosis: A systematic review and meta-analysis. Cardiovascular Revascularization Medicine.
Kokkinidis, D. G., Papanastasiou C. A., Jonnalagadda A. Kumar, Oikonomou E. K., Theochari C. A., Palaiodimos L., et al. (2018).  The predictive value of baseline pulmonary hypertension in early and long term cardiac and all-cause mortality after transcatheter aortic valve implantation for patients with severe aortic valve stenosis: A systematic review and meta-analysis.. Cardiovasc Revasc Med.

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